2025-12-04T09:36:52.9105732Z Current runner version: '2.330.0' 2025-12-04T09:36:52.9113216Z Runner name: 'i-06b3a5aa3e9d3b7c1' 2025-12-04T09:36:52.9114261Z Runner group name: 'default' 2025-12-04T09:36:52.9115252Z Machine name: 'ip-10-0-65-196' 2025-12-04T09:36:52.9118786Z ##[group]GITHUB_TOKEN Permissions 2025-12-04T09:36:52.9121499Z Contents: read 2025-12-04T09:36:52.9122136Z Metadata: read 2025-12-04T09:36:52.9122770Z ##[endgroup] 2025-12-04T09:36:52.9125469Z Secret source: Actions 2025-12-04T09:36:52.9126257Z Prepare workflow directory 2025-12-04T09:36:52.9728161Z Prepare all required actions 2025-12-04T09:36:52.9776043Z Getting action download info 2025-12-04T09:36:53.3789059Z Download action repository 'pytorch/test-infra@main' (SHA:39aa74d619174326f4e2fb0e216151c2f29d9ffd) 2025-12-04T09:36:55.6488591Z Download action repository 'pytorch/pytorch@main' (SHA:7716da9fb23f27a65b41f9f016a2afadf281c18f) 2025-12-04T09:37:10.4113132Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-12-04T09:37:10.7674127Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-12-04T09:37:11.0030104Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-12-04T09:37:11.1845569Z Download action repository 'seemethere/download-artifact-s3@1da556a7aa0a088e3153970611f6c432d58e80e6' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:37:11.5828139Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T09:37:11.9774169Z Getting action download info 2025-12-04T09:37:12.1255943Z Download action repository 'actions/checkout@v4' (SHA:34e114876b0b11c390a56381ad16ebd13914f8d5) 2025-12-04T09:37:12.4623849Z Getting action download info 2025-12-04T09:37:12.6088017Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-12-04T09:37:12.8288412Z Getting action download info 2025-12-04T09:37:12.9595151Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-12-04T09:37:13.1966362Z Getting action download info 2025-12-04T09:37:13.3719202Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32) 2025-12-04T09:37:13.3723779Z ##[group] Inputs 2025-12-04T09:37:13.3724232Z build-environment: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:37:13.3731812Z test-matrix: {"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]} 2025-12-04T09:37:13.3739973Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:37:13.3740994Z sync-tag: 2025-12-04T09:37:13.3741954Z timeout-minutes: 240 2025-12-04T09:37:13.3742244Z use-gha: 2025-12-04T09:37:13.3742503Z dashboard-tag: 2025-12-04T09:37:13.3742785Z s3-bucket: gha-artifacts 2025-12-04T09:37:13.3743092Z aws-role-to-assume: 2025-12-04T09:37:13.3743763Z disable-monitor: false 2025-12-04T09:37:13.3744116Z monitor-log-interval: 5 2025-12-04T09:37:13.3744468Z monitor-data-collect-interval: 1 2025-12-04T09:37:13.3744854Z ##[endgroup] 2025-12-04T09:37:13.3745619Z Complete job name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T09:37:13.4381174Z A job started hook has been configured by the self-hosted runner administrator 2025-12-04T09:37:13.4496320Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-12-04T09:37:13.4507171Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:37:13.4507923Z ##[endgroup] 2025-12-04T09:37:14.8598657Z Runner Type: linux.g4dn.4xlarge.nvidia.gpu 2025-12-04T09:37:14.8599287Z Instance Type: g4dn.4xlarge 2025-12-04T09:37:14.8599620Z AMI Name: unknown 2025-12-04T09:37:14.8640656Z AMI ID: ami-08982f1c5bf93d976 2025-12-04T09:37:21.0559638Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-12-04T09:37:21.0560180Z with: 2025-12-04T09:37:21.0560828Z github-secret: *** 2025-12-04T09:37:21.0561691Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-12-04T09:37:21.0562648Z activate-with-label: false 2025-12-04T09:37:21.0562966Z label: with-ssh 2025-12-04T09:37:21.0563252Z remove-existing-keys: true 2025-12-04T09:37:21.0563581Z fail-silently: true 2025-12-04T09:37:21.0563848Z env: 2025-12-04T09:37:21.0564093Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:21.0564406Z ##[endgroup] 2025-12-04T09:37:21.2165287Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-12-04T09:37:21.2167395Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-12-04T09:37:21.2508988Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-12-04T09:37:21.2509517Z with: 2025-12-04T09:37:21.2509766Z no-sudo: true 2025-12-04T09:37:21.2510033Z submodules: recursive 2025-12-04T09:37:21.2510334Z fetch-depth: 0 2025-12-04T09:37:21.2510614Z env: 2025-12-04T09:37:21.2510845Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:21.2511146Z ##[endgroup] 2025-12-04T09:37:21.2593604Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:37:21.2594740Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:37:21.2606716Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:37:21.2607168Z env: 2025-12-04T09:37:21.2607437Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:21.2607781Z ##[endgroup] 2025-12-04T09:37:21.2704264Z ##[group]Run # Use all available CPUs for fetching 2025-12-04T09:37:21.2704992Z # Use all available CPUs for fetching 2025-12-04T09:37:21.2705388Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:37:21.2705786Z git config --global fetch.parallel 0 2025-12-04T09:37:21.2706448Z git config --global submodule.fetchJobs 0 2025-12-04T09:37:21.2706852Z  2025-12-04T09:37:21.2707261Z # Clean workspace. The default checkout action should also do this, but 2025-12-04T09:37:21.2707827Z # do it here as well just in case 2025-12-04T09:37:21.2708205Z if [[ -d .git ]]; then 2025-12-04T09:37:21.2708539Z  if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:37:21.2708903Z  sudo git clean -ffdx 2025-12-04T09:37:21.2709231Z  else 2025-12-04T09:37:21.2709492Z  git clean -ffdx 2025-12-04T09:37:21.2709798Z  fi 2025-12-04T09:37:21.2710043Z fi 2025-12-04T09:37:21.2716447Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:37:21.2716898Z env: 2025-12-04T09:37:21.2717222Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:21.2717553Z NO_SUDO: true 2025-12-04T09:37:21.2717799Z ##[endgroup] 2025-12-04T09:37:21.2847060Z ##[group]Run actions/checkout@v4 2025-12-04T09:37:21.2847434Z with: 2025-12-04T09:37:21.2847730Z ref: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:37:21.2848113Z fetch-depth: 0 2025-12-04T09:37:21.2848387Z submodules: recursive 2025-12-04T09:37:21.2848688Z show-progress: false 2025-12-04T09:37:21.2848994Z repository: pytorch/pytorch 2025-12-04T09:37:21.2849456Z token: *** 2025-12-04T09:37:21.2849713Z ssh-strict: true 2025-12-04T09:37:21.2849980Z ssh-user: git 2025-12-04T09:37:21.2850246Z persist-credentials: true 2025-12-04T09:37:21.2850559Z clean: true 2025-12-04T09:37:21.2850959Z sparse-checkout-cone-mode: true 2025-12-04T09:37:21.2851298Z fetch-tags: false 2025-12-04T09:37:21.2851568Z lfs: false 2025-12-04T09:37:21.2851831Z set-safe-directory: true 2025-12-04T09:37:21.2852132Z env: 2025-12-04T09:37:21.2852377Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:37:21.2852677Z ##[endgroup] 2025-12-04T09:37:21.4041672Z Syncing repository: pytorch/pytorch 2025-12-04T09:37:21.4043227Z ##[group]Getting Git version info 2025-12-04T09:37:21.4043824Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:37:21.4044604Z [command]/usr/bin/git version 2025-12-04T09:37:21.4218549Z git version 2.50.1 2025-12-04T09:37:21.4246104Z ##[endgroup] 2025-12-04T09:37:21.4257051Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/143e188e-eab7-45ab-a146-3dd45433e45f/.gitconfig' 2025-12-04T09:37:21.4275651Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/143e188e-eab7-45ab-a146-3dd45433e45f' before making global git config changes 2025-12-04T09:37:21.4276847Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T09:37:21.4281105Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:37:21.4326132Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-12-04T09:37:21.4338039Z ##[group]Initializing the repository 2025-12-04T09:37:21.4342482Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:37:21.4407095Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-12-04T09:37:21.4407793Z hint: is subject to change. To configure the initial branch name to use in all 2025-12-04T09:37:21.4408466Z hint: of your new repositories, which will suppress this warning, call: 2025-12-04T09:37:21.4408983Z hint: 2025-12-04T09:37:21.4409323Z hint: git config --global init.defaultBranch 2025-12-04T09:37:21.4409721Z hint: 2025-12-04T09:37:21.4410108Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-12-04T09:37:21.4410872Z hint: 'development'. The just-created branch can be renamed via this command: 2025-12-04T09:37:21.4411384Z hint: 2025-12-04T09:37:21.4411641Z hint: git branch -m 2025-12-04T09:37:21.4411954Z hint: 2025-12-04T09:37:21.4412387Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-12-04T09:37:21.4416496Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-12-04T09:37:21.4426022Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-12-04T09:37:21.4465872Z ##[endgroup] 2025-12-04T09:37:21.4466404Z ##[group]Disabling automatic garbage collection 2025-12-04T09:37:21.4469705Z [command]/usr/bin/git config --local gc.auto 0 2025-12-04T09:37:21.4497123Z ##[endgroup] 2025-12-04T09:37:21.4497566Z ##[group]Setting up auth 2025-12-04T09:37:21.4504348Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T09:37:21.4534411Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-12-04T09:37:21.4904674Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T09:37:21.4933698Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-12-04T09:37:21.5251146Z [command]/usr/bin/git config --local --name-only --get-regexp ^includeIf\.gitdir: 2025-12-04T09:37:21.5281889Z [command]/usr/bin/git submodule foreach --recursive git config --local --show-origin --name-only --get-regexp remote.origin.url 2025-12-04T09:37:21.5609597Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:37:21.5657335Z ##[endgroup] 2025-12-04T09:37:21.5658368Z ##[group]Fetching the repository 2025-12-04T09:37:21.5667977Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-12-04T09:38:17.2351749Z From https://github.com/pytorch/pytorch 2025-12-04T09:38:17.2352351Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-12-04T09:38:17.2353087Z * [new branch] 2.9.1 -> origin/2.9.1 2025-12-04T09:38:17.2353787Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-12-04T09:38:17.2356046Z * [new branch] Flamefire-patch-1 -> origin/Flamefire-patch-1 2025-12-04T09:38:17.2356830Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-12-04T09:38:17.2357532Z * [new branch] HOPrintFunc -> origin/HOPrintFunc 2025-12-04T09:38:17.2360036Z * [new branch] IvanKobzarev/stack/1 -> origin/IvanKobzarev/stack/1 2025-12-04T09:38:17.2363053Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-12-04T09:38:17.2364274Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-12-04T09:38:17.2366011Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-12-04T09:38:17.2367525Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-12-04T09:38:17.2368788Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-12-04T09:38:17.2370308Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-12-04T09:38:17.2372040Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-12-04T09:38:17.2373284Z * [new branch] VLA_exp -> origin/VLA_exp 2025-12-04T09:38:17.2375199Z * [new branch] activation_bench -> origin/activation_bench 2025-12-04T09:38:17.2376680Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-12-04T09:38:17.2378655Z * [new branch] adi/onednn_aarch64 -> origin/adi/onednn_aarch64 2025-12-04T09:38:17.2380133Z * [new branch] adi/test -> origin/adi/test 2025-12-04T09:38:17.2381671Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-12-04T09:38:17.2383177Z * [new branch] adi/test_m8g -> origin/adi/test_m8g 2025-12-04T09:38:17.2384660Z * [new branch] adi/test_onednn -> origin/adi/test_onednn 2025-12-04T09:38:17.2386133Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-12-04T09:38:17.2387651Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-12-04T09:38:17.2388932Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-12-04T09:38:17.2390803Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-12-04T09:38:17.2393346Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-12-04T09:38:17.2394686Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-12-04T09:38:17.2396634Z * [new branch] albanD-patch-1 -> origin/albanD-patch-1 2025-12-04T09:38:17.2397805Z * [new branch] also-surround-shimh -> origin/also-surround-shimh 2025-12-04T09:38:17.2400074Z * [new branch] angelayi/aot_compile -> origin/angelayi/aot_compile 2025-12-04T09:38:17.2401502Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-12-04T09:38:17.2402864Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-12-04T09:38:17.2404734Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-12-04T09:38:17.2406037Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-12-04T09:38:17.2407610Z * [new branch] angelayi/inductor_const -> origin/angelayi/inductor_const 2025-12-04T09:38:17.2408805Z * [new branch] angelayi/lstm -> origin/angelayi/lstm 2025-12-04T09:38:17.2410923Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-12-04T09:38:17.2412874Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-12-04T09:38:17.2414337Z * [new branch] angelayi/side_eff -> 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[new branch] xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 2025-12-04T09:38:17.9656179Z * [new branch] xmfan/single_step -> origin/xmfan/single_step 2025-12-04T09:38:17.9657556Z * [new branch] xmfan/sth_0829 -> origin/xmfan/sth_0829 2025-12-04T09:38:17.9658898Z * [new branch] xmfan/test -> origin/xmfan/test 2025-12-04T09:38:17.9660793Z * [new branch] yguo/debug-0226-constexpr -> origin/yguo/debug-0226-constexpr 2025-12-04T09:38:17.9661976Z * [new branch] yguo/new_latest_changes -> origin/yguo/new_latest_changes 2025-12-04T09:38:17.9663221Z * [new branch] yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes 2025-12-04T09:38:17.9664887Z * [new branch] yiming/bootcamp -> origin/yiming/bootcamp 2025-12-04T09:38:17.9666233Z * [new branch] yiming/run_with_start_end_rng_hop -> origin/yiming/run_with_start_end_rng_hop 2025-12-04T09:38:17.9667498Z * [new branch] yolo-llama3 -> origin/yolo-llama3 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zhxchen17/dynamo/unsafe_drop_all_guards -> origin/zhxchen17/dynamo/unsafe_drop_all_guards 2025-12-04T09:38:17.9685262Z * [new branch] zhxchen17/export/call_override -> origin/zhxchen17/export/call_override 2025-12-04T09:38:17.9686527Z * [new branch] zhxchen17/export/codemod1 -> origin/zhxchen17/export/codemod1 2025-12-04T09:38:17.9687853Z * [new branch] zhxchen17/export/ctx_return -> origin/zhxchen17/export/ctx_return 2025-12-04T09:38:17.9689760Z * [new branch] zhxchen17/export/disable_side_effect_warn -> origin/zhxchen17/export/disable_side_effect_warn 2025-12-04T09:38:17.9691028Z * [new branch] zhxchen17/export/pytree_check -> origin/zhxchen17/export/pytree_check 2025-12-04T09:38:17.9692870Z * [new branch] zhxchen17/precompile/aoti -> origin/zhxchen17/precompile/aoti 2025-12-04T09:38:17.9694184Z * [new branch] zhxchen17/precompile/globals -> origin/zhxchen17/precompile/globals 2025-12-04T09:38:17.9695478Z * [new branch] zhxchen17/precompile/inductor_guards -> origin/zhxchen17/precompile/inductor_guards 2025-12-04T09:38:17.9696984Z * [new branch] zhxchen17/scratch/0 -> origin/zhxchen17/scratch/0 2025-12-04T09:38:17.9698428Z * [new branch] zhxchen17/torch_export_api_update -> origin/zhxchen17/torch_export_api_update 2025-12-04T09:38:17.9700123Z * [new branch] zhxhcen17/moodycamel -> origin/zhxhcen17/moodycamel 2025-12-04T09:38:17.9701890Z * [new branch] zxiiro/build-times -> origin/zxiiro/build-times 2025-12-04T09:38:17.9703216Z * [new branch] zxiiro/c7i.2xlarge -> origin/zxiiro/c7i.2xlarge 2025-12-04T09:38:17.9704637Z * [new branch] zxiiro/c7i.2xlarge.h100 -> origin/zxiiro/c7i.2xlarge.h100 2025-12-04T09:38:17.9706019Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-12-04T09:38:17.9707313Z * [new branch] zxiiro/risc64 -> origin/zxiiro/risc64 2025-12-04T09:38:17.9708650Z * [new branch] zxiiro/test-multicloud-arc -> origin/zxiiro/test-multicloud-arc 2025-12-04T09:38:17.9710115Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-12-04T09:38:17.9710967Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-12-04T09:38:17.9712200Z * [new tag] ciflow/b200/115316 -> ciflow/b200/115316 2025-12-04T09:38:17.9713233Z * [new tag] ciflow/b200/160685 -> ciflow/b200/160685 2025-12-04T09:38:17.9713982Z * [new tag] ciflow/b200/161607 -> ciflow/b200/161607 2025-12-04T09:38:17.9715344Z * [new tag] ciflow/b200/161938 -> ciflow/b200/161938 2025-12-04T09:38:17.9716311Z * [new tag] ciflow/b200/167207 -> ciflow/b200/167207 2025-12-04T09:38:17.9717058Z * [new tag] ciflow/b200/167989 -> ciflow/b200/167989 2025-12-04T09:38:17.9718095Z * [new tag] ciflow/b200/168096 -> ciflow/b200/168096 2025-12-04T09:38:17.9719082Z * [new tag] ciflow/b200/168175 -> ciflow/b200/168175 2025-12-04T09:38:17.9719918Z * [new tag] ciflow/b200/168195 -> ciflow/b200/168195 2025-12-04T09:38:17.9720938Z * [new tag] ciflow/b200/169200 -> ciflow/b200/169200 2025-12-04T09:38:17.9721745Z * [new tag] ciflow/b200/169216 -> ciflow/b200/169216 2025-12-04T09:38:17.9723099Z * [new tag] ciflow/b200/169380 -> ciflow/b200/169380 2025-12-04T09:38:17.9724390Z * [new tag] ciflow/b200/169412 -> ciflow/b200/169412 2025-12-04T09:38:17.9725668Z * [new tag] ciflow/b200/169470 -> ciflow/b200/169470 2025-12-04T09:38:17.9726272Z * [new tag] ciflow/b200/169471 -> ciflow/b200/169471 2025-12-04T09:38:17.9727114Z * [new tag] ciflow/b200/169472 -> ciflow/b200/169472 2025-12-04T09:38:17.9728339Z * [new tag] ciflow/b200/169514 -> ciflow/b200/169514 2025-12-04T09:38:17.9729120Z * [new tag] ciflow/b200/169517 -> ciflow/b200/169517 2025-12-04T09:38:17.9730404Z * [new tag] ciflow/binaries/165922 -> ciflow/binaries/165922 2025-12-04T09:38:17.9731189Z * [new tag] ciflow/binaries/169510 -> ciflow/binaries/169510 2025-12-04T09:38:17.9732526Z * [new tag] ciflow/binaries_wheel/157994 -> ciflow/binaries_wheel/157994 2025-12-04T09:38:17.9733417Z * [new tag] ciflow/binaries_wheel/166829 -> ciflow/binaries_wheel/166829 2025-12-04T09:38:17.9734237Z * [new tag] ciflow/binaries_wheel/167972 -> ciflow/binaries_wheel/167972 2025-12-04T09:38:17.9735365Z * [new tag] ciflow/binaries_wheel/167981 -> ciflow/binaries_wheel/167981 2025-12-04T09:38:17.9736191Z * [new tag] ciflow/dynamo/167695 -> ciflow/dynamo/167695 2025-12-04T09:38:17.9737235Z * [new tag] ciflow/dynamo/168096 -> ciflow/dynamo/168096 2025-12-04T09:38:17.9738063Z * [new tag] ciflow/dynamo/169525 -> ciflow/dynamo/169525 2025-12-04T09:38:17.9739284Z * [new tag] ciflow/h100-cutlass-backend/161938 -> ciflow/h100-cutlass-backend/161938 2025-12-04T09:38:17.9740061Z * [new tag] ciflow/h100-cutlass-backend/161940 -> ciflow/h100-cutlass-backend/161940 2025-12-04T09:38:17.9741261Z * [new tag] ciflow/h100-distributed/168923 -> ciflow/h100-distributed/168923 2025-12-04T09:38:17.9742154Z * [new tag] ciflow/h100-symm-mem/167552 -> ciflow/h100-symm-mem/167552 2025-12-04T09:38:17.9742945Z * [new tag] ciflow/h100-symm-mem/168129 -> ciflow/h100-symm-mem/168129 2025-12-04T09:38:17.9743766Z * [new tag] ciflow/h100-symm-mem/168917 -> ciflow/h100-symm-mem/168917 2025-12-04T09:38:17.9745058Z * [new tag] ciflow/h100-symm-mem/169156 -> ciflow/h100-symm-mem/169156 2025-12-04T09:38:17.9745780Z * [new tag] ciflow/h100-symm-mem/169200 -> ciflow/h100-symm-mem/169200 2025-12-04T09:38:17.9746609Z * [new tag] ciflow/h100-symm-mem/169216 -> ciflow/h100-symm-mem/169216 2025-12-04T09:38:17.9747391Z * [new tag] ciflow/h100-symm-mem/169338 -> ciflow/h100-symm-mem/169338 2025-12-04T09:38:17.9748462Z * [new tag] ciflow/h100-symm-mem/169355 -> ciflow/h100-symm-mem/169355 2025-12-04T09:38:17.9749167Z * [new tag] ciflow/h100-symm-mem/169543 -> ciflow/h100-symm-mem/169543 2025-12-04T09:38:17.9750206Z * [new tag] ciflow/h100/115316 -> ciflow/h100/115316 2025-12-04T09:38:17.9750923Z * [new tag] ciflow/h100/160685 -> ciflow/h100/160685 2025-12-04T09:38:17.9751738Z * [new tag] ciflow/h100/160729 -> ciflow/h100/160729 2025-12-04T09:38:17.9752571Z * [new tag] ciflow/h100/161607 -> ciflow/h100/161607 2025-12-04T09:38:17.9753345Z * [new tag] ciflow/h100/161938 -> ciflow/h100/161938 2025-12-04T09:38:17.9754245Z * [new tag] ciflow/h100/167207 -> ciflow/h100/167207 2025-12-04T09:38:17.9754950Z * [new tag] ciflow/h100/167989 -> ciflow/h100/167989 2025-12-04T09:38:17.9755744Z * [new tag] ciflow/h100/168096 -> ciflow/h100/168096 2025-12-04T09:38:17.9756552Z * [new tag] ciflow/h100/168175 -> ciflow/h100/168175 2025-12-04T09:38:17.9757335Z * [new tag] ciflow/h100/168195 -> ciflow/h100/168195 2025-12-04T09:38:17.9758166Z * [new tag] ciflow/h100/168980 -> ciflow/h100/168980 2025-12-04T09:38:17.9759359Z * [new tag] ciflow/h100/169200 -> ciflow/h100/169200 2025-12-04T09:38:17.9760493Z * [new tag] ciflow/h100/169216 -> ciflow/h100/169216 2025-12-04T09:38:17.9761498Z * [new tag] ciflow/h100/169380 -> ciflow/h100/169380 2025-12-04T09:38:17.9762370Z * [new tag] ciflow/h100/169412 -> ciflow/h100/169412 2025-12-04T09:38:17.9763234Z * [new tag] ciflow/h100/169470 -> ciflow/h100/169470 2025-12-04T09:38:17.9764059Z * [new tag] ciflow/h100/169471 -> ciflow/h100/169471 2025-12-04T09:38:17.9764928Z * [new tag] ciflow/h100/169472 -> ciflow/h100/169472 2025-12-04T09:38:17.9765758Z * [new tag] ciflow/h100/169514 -> ciflow/h100/169514 2025-12-04T09:38:17.9766931Z * [new tag] ciflow/inductor-cu126/168096 -> ciflow/inductor-cu126/168096 2025-12-04T09:38:17.9768380Z * [new tag] ciflow/inductor-micro-benchmark-cpu-x86/168096 -> ciflow/inductor-micro-benchmark-cpu-x86/168096 2025-12-04T09:38:17.9769250Z * [new tag] ciflow/inductor-micro-benchmark/166165 -> ciflow/inductor-micro-benchmark/166165 2025-12-04T09:38:17.9770101Z * [new tag] ciflow/inductor-micro-benchmark/168096 -> ciflow/inductor-micro-benchmark/168096 2025-12-04T09:38:17.9771118Z * [new tag] ciflow/inductor-perf-compare/168096 -> ciflow/inductor-perf-compare/168096 2025-12-04T09:38:17.9772799Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168073 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168073 2025-12-04T09:38:17.9773527Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/168096 -> ciflow/inductor-perf-test-nightly-rocm-mi300/168096 2025-12-04T09:38:17.9774480Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi300/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi300/169024 2025-12-04T09:38:17.9775477Z * [new tag] ciflow/inductor-perf-test-nightly-rocm-mi355/169024 -> ciflow/inductor-perf-test-nightly-rocm-mi355/169024 2025-12-04T09:38:17.9776379Z * [new tag] ciflow/inductor-perf-test-nightly/168096 -> ciflow/inductor-perf-test-nightly/168096 2025-12-04T09:38:17.9777319Z * [new tag] ciflow/inductor-periodic/168096 -> ciflow/inductor-periodic/168096 2025-12-04T09:38:17.9778720Z * [new tag] ciflow/inductor-periodic/169024 -> ciflow/inductor-periodic/169024 2025-12-04T09:38:17.9779605Z * [new tag] ciflow/inductor-periodic/169425 -> ciflow/inductor-periodic/169425 2025-12-04T09:38:17.9780851Z * [new tag] ciflow/inductor-rocm-mi200/165545 -> ciflow/inductor-rocm-mi200/165545 2025-12-04T09:38:17.9781689Z * [new tag] ciflow/inductor-rocm-mi200/165997 -> ciflow/inductor-rocm-mi200/165997 2025-12-04T09:38:17.9782485Z * [new tag] ciflow/inductor-rocm-mi200/168096 -> ciflow/inductor-rocm-mi200/168096 2025-12-04T09:38:17.9783449Z * [new tag] ciflow/inductor-rocm-mi200/169063 -> ciflow/inductor-rocm-mi200/169063 2025-12-04T09:38:17.9784271Z * [new tag] ciflow/inductor-rocm-mi200/169425 -> ciflow/inductor-rocm-mi200/169425 2025-12-04T09:38:17.9785572Z * [new tag] ciflow/inductor-rocm-mi300/165545 -> ciflow/inductor-rocm-mi300/165545 2025-12-04T09:38:17.9786202Z * [new tag] ciflow/inductor-rocm-mi300/168096 -> ciflow/inductor-rocm-mi300/168096 2025-12-04T09:38:17.9787023Z * [new tag] ciflow/inductor-rocm-mi300/169063 -> ciflow/inductor-rocm-mi300/169063 2025-12-04T09:38:17.9787847Z * [new tag] ciflow/inductor-rocm-mi300/169425 -> ciflow/inductor-rocm-mi300/169425 2025-12-04T09:38:17.9789083Z * [new tag] ciflow/inductor-rocm/162052 -> ciflow/inductor-rocm/162052 2025-12-04T09:38:17.9789777Z * [new tag] ciflow/inductor-rocm/168971 -> ciflow/inductor-rocm/168971 2025-12-04T09:38:17.9790956Z * [new tag] ciflow/inductor-windows/168096 -> ciflow/inductor-windows/168096 2025-12-04T09:38:17.9791790Z * [new tag] ciflow/inductor/144542 -> ciflow/inductor/144542 2025-12-04T09:38:17.9792612Z * [new tag] ciflow/inductor/146506 -> ciflow/inductor/146506 2025-12-04T09:38:17.9793435Z * [new tag] ciflow/inductor/147990 -> ciflow/inductor/147990 2025-12-04T09:38:17.9794503Z * [new tag] ciflow/inductor/148294 -> ciflow/inductor/148294 2025-12-04T09:38:17.9795265Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-12-04T09:38:17.9796101Z * [new tag] ciflow/inductor/157149 -> ciflow/inductor/157149 2025-12-04T09:38:17.9796855Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-12-04T09:38:17.9797684Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-12-04T09:38:17.9798471Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-12-04T09:38:17.9799296Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-12-04T09:38:17.9800127Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-12-04T09:38:17.9801375Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-12-04T09:38:17.9802550Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-12-04T09:38:17.9803442Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-12-04T09:38:17.9804323Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-12-04T09:38:17.9805489Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-12-04T09:38:17.9806237Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-12-04T09:38:17.9807095Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-12-04T09:38:17.9807929Z * [new tag] ciflow/inductor/162795 -> ciflow/inductor/162795 2025-12-04T09:38:17.9809132Z * [new tag] ciflow/inductor/163245 -> ciflow/inductor/163245 2025-12-04T09:38:17.9809910Z * [new tag] ciflow/inductor/163335 -> ciflow/inductor/163335 2025-12-04T09:38:17.9811030Z * [new tag] ciflow/inductor/163503 -> ciflow/inductor/163503 2025-12-04T09:38:17.9811842Z * [new tag] ciflow/inductor/163942 -> ciflow/inductor/163942 2025-12-04T09:38:17.9813005Z * [new tag] ciflow/inductor/165270 -> ciflow/inductor/165270 2025-12-04T09:38:17.9813776Z * [new tag] ciflow/inductor/165274 -> ciflow/inductor/165274 2025-12-04T09:38:17.9814590Z * [new tag] ciflow/inductor/165322 -> ciflow/inductor/165322 2025-12-04T09:38:17.9815464Z * [new tag] ciflow/inductor/165597 -> ciflow/inductor/165597 2025-12-04T09:38:17.9816286Z * [new tag] ciflow/inductor/166063 -> ciflow/inductor/166063 2025-12-04T09:38:17.9817162Z * [new tag] ciflow/inductor/166075 -> ciflow/inductor/166075 2025-12-04T09:38:17.9818108Z * [new tag] ciflow/inductor/166165 -> ciflow/inductor/166165 2025-12-04T09:38:17.9819198Z * [new tag] ciflow/inductor/166254 -> ciflow/inductor/166254 2025-12-04T09:38:17.9820838Z * [new tag] ciflow/inductor/166483 -> ciflow/inductor/166483 2025-12-04T09:38:17.9821612Z * [new tag] ciflow/inductor/166494 -> ciflow/inductor/166494 2025-12-04T09:38:17.9822451Z * [new tag] ciflow/inductor/166545 -> ciflow/inductor/166545 2025-12-04T09:38:17.9823323Z * [new tag] ciflow/inductor/166788 -> ciflow/inductor/166788 2025-12-04T09:38:17.9824469Z * [new tag] ciflow/inductor/166846 -> ciflow/inductor/166846 2025-12-04T09:38:17.9825278Z * [new tag] ciflow/inductor/167300 -> ciflow/inductor/167300 2025-12-04T09:38:17.9826072Z * [new tag] ciflow/inductor/167407 -> ciflow/inductor/167407 2025-12-04T09:38:17.9827198Z * [new tag] ciflow/inductor/167536 -> ciflow/inductor/167536 2025-12-04T09:38:17.9827910Z * [new tag] ciflow/inductor/167552 -> ciflow/inductor/167552 2025-12-04T09:38:17.9828909Z * [new tag] ciflow/inductor/167555 -> ciflow/inductor/167555 2025-12-04T09:38:17.9829923Z * [new tag] ciflow/inductor/167583 -> ciflow/inductor/167583 2025-12-04T09:38:17.9830687Z * [new tag] ciflow/inductor/167599 -> ciflow/inductor/167599 2025-12-04T09:38:17.9831555Z * [new tag] ciflow/inductor/167647 -> ciflow/inductor/167647 2025-12-04T09:38:17.9832418Z * [new tag] ciflow/inductor/167677 -> ciflow/inductor/167677 2025-12-04T09:38:17.9833308Z * [new tag] ciflow/inductor/167680 -> ciflow/inductor/167680 2025-12-04T09:38:17.9834143Z * [new tag] ciflow/inductor/167695 -> ciflow/inductor/167695 2025-12-04T09:38:17.9834994Z * [new tag] ciflow/inductor/167742 -> ciflow/inductor/167742 2025-12-04T09:38:17.9835873Z * [new tag] ciflow/inductor/167768 -> ciflow/inductor/167768 2025-12-04T09:38:17.9837146Z * [new tag] ciflow/inductor/167773 -> ciflow/inductor/167773 2025-12-04T09:38:17.9837939Z * [new tag] ciflow/inductor/167781 -> ciflow/inductor/167781 2025-12-04T09:38:17.9838789Z * [new tag] ciflow/inductor/167880 -> ciflow/inductor/167880 2025-12-04T09:38:17.9839656Z * [new tag] ciflow/inductor/167887 -> ciflow/inductor/167887 2025-12-04T09:38:17.9840717Z * [new tag] ciflow/inductor/167972 -> ciflow/inductor/167972 2025-12-04T09:38:17.9841447Z * [new tag] ciflow/inductor/167989 -> ciflow/inductor/167989 2025-12-04T09:38:17.9842335Z * [new tag] ciflow/inductor/168002 -> ciflow/inductor/168002 2025-12-04T09:38:17.9843210Z * [new tag] ciflow/inductor/168050 -> ciflow/inductor/168050 2025-12-04T09:38:17.9844068Z * [new tag] ciflow/inductor/168051 -> ciflow/inductor/168051 2025-12-04T09:38:17.9844902Z * [new tag] ciflow/inductor/168052 -> ciflow/inductor/168052 2025-12-04T09:38:17.9845789Z * [new tag] ciflow/inductor/168073 -> ciflow/inductor/168073 2025-12-04T09:38:17.9846615Z * [new tag] ciflow/inductor/168096 -> ciflow/inductor/168096 2025-12-04T09:38:17.9847466Z * [new tag] ciflow/inductor/168114 -> ciflow/inductor/168114 2025-12-04T09:38:17.9848327Z * [new tag] ciflow/inductor/168115 -> ciflow/inductor/168115 2025-12-04T09:38:17.9849161Z * [new tag] ciflow/inductor/168127 -> ciflow/inductor/168127 2025-12-04T09:38:17.9850178Z * [new tag] ciflow/inductor/168129 -> ciflow/inductor/168129 2025-12-04T09:38:17.9851012Z * [new tag] ciflow/inductor/168157 -> ciflow/inductor/168157 2025-12-04T09:38:17.9852152Z * [new tag] ciflow/inductor/168175 -> ciflow/inductor/168175 2025-12-04T09:38:17.9852803Z * [new tag] ciflow/inductor/168185 -> ciflow/inductor/168185 2025-12-04T09:38:17.9853613Z * [new tag] ciflow/inductor/168195 -> ciflow/inductor/168195 2025-12-04T09:38:17.9854476Z * [new tag] ciflow/inductor/168209 -> ciflow/inductor/168209 2025-12-04T09:38:17.9855317Z * [new tag] ciflow/inductor/168266 -> ciflow/inductor/168266 2025-12-04T09:38:17.9856185Z * [new tag] ciflow/inductor/168316 -> ciflow/inductor/168316 2025-12-04T09:38:17.9857296Z * [new tag] ciflow/inductor/168326 -> ciflow/inductor/168326 2025-12-04T09:38:17.9858038Z * [new tag] ciflow/inductor/168368 -> ciflow/inductor/168368 2025-12-04T09:38:17.9858891Z * [new tag] ciflow/inductor/168894 -> ciflow/inductor/168894 2025-12-04T09:38:17.9859772Z * [new tag] ciflow/inductor/168934 -> ciflow/inductor/168934 2025-12-04T09:38:17.9860647Z * [new tag] ciflow/inductor/168939 -> ciflow/inductor/168939 2025-12-04T09:38:17.9861487Z * [new tag] ciflow/inductor/168946 -> ciflow/inductor/168946 2025-12-04T09:38:17.9862494Z * [new tag] ciflow/inductor/168950 -> ciflow/inductor/168950 2025-12-04T09:38:17.9863293Z * [new tag] ciflow/inductor/168951 -> ciflow/inductor/168951 2025-12-04T09:38:17.9864200Z * [new tag] ciflow/inductor/168952 -> ciflow/inductor/168952 2025-12-04T09:38:17.9865162Z * [new tag] ciflow/inductor/168955 -> ciflow/inductor/168955 2025-12-04T09:38:17.9865977Z * [new tag] ciflow/inductor/168971 -> ciflow/inductor/168971 2025-12-04T09:38:17.9866718Z * [new tag] ciflow/inductor/168979 -> ciflow/inductor/168979 2025-12-04T09:38:17.9867672Z * [new tag] ciflow/inductor/168980 -> ciflow/inductor/168980 2025-12-04T09:38:17.9868775Z * [new tag] ciflow/inductor/168983 -> ciflow/inductor/168983 2025-12-04T09:38:17.9869494Z * [new tag] ciflow/inductor/169006 -> ciflow/inductor/169006 2025-12-04T09:38:17.9870502Z * [new tag] ciflow/inductor/169023 -> ciflow/inductor/169023 2025-12-04T09:38:17.9871280Z * [new tag] ciflow/inductor/169024 -> ciflow/inductor/169024 2025-12-04T09:38:17.9872098Z * [new tag] ciflow/inductor/169025 -> ciflow/inductor/169025 2025-12-04T09:38:17.9872951Z * [new tag] ciflow/inductor/169066 -> ciflow/inductor/169066 2025-12-04T09:38:17.9873831Z * [new tag] ciflow/inductor/169091 -> ciflow/inductor/169091 2025-12-04T09:38:17.9874671Z * [new tag] ciflow/inductor/169102 -> ciflow/inductor/169102 2025-12-04T09:38:17.9875527Z * [new tag] ciflow/inductor/169103 -> ciflow/inductor/169103 2025-12-04T09:38:17.9876550Z * [new tag] ciflow/inductor/169121 -> ciflow/inductor/169121 2025-12-04T09:38:17.9877816Z * [new tag] ciflow/inductor/169134 -> ciflow/inductor/169134 2025-12-04T09:38:17.9878486Z * [new tag] ciflow/inductor/169135 -> ciflow/inductor/169135 2025-12-04T09:38:17.9879365Z * [new tag] ciflow/inductor/169141 -> ciflow/inductor/169141 2025-12-04T09:38:17.9880255Z * [new tag] ciflow/inductor/169151 -> ciflow/inductor/169151 2025-12-04T09:38:17.9881344Z * [new tag] ciflow/inductor/169161 -> ciflow/inductor/169161 2025-12-04T09:38:17.9882084Z * [new tag] ciflow/inductor/169167 -> ciflow/inductor/169167 2025-12-04T09:38:17.9883220Z * [new tag] ciflow/inductor/169177 -> ciflow/inductor/169177 2025-12-04T09:38:17.9884325Z * [new tag] ciflow/inductor/169185 -> ciflow/inductor/169185 2025-12-04T09:38:17.9885013Z * [new tag] ciflow/inductor/169196 -> ciflow/inductor/169196 2025-12-04T09:38:17.9885851Z * [new tag] ciflow/inductor/169200 -> ciflow/inductor/169200 2025-12-04T09:38:17.9886688Z * [new tag] ciflow/inductor/169204 -> ciflow/inductor/169204 2025-12-04T09:38:17.9887546Z * [new tag] ciflow/inductor/169216 -> ciflow/inductor/169216 2025-12-04T09:38:17.9888520Z * [new tag] ciflow/inductor/169219 -> ciflow/inductor/169219 2025-12-04T09:38:17.9889340Z * [new tag] ciflow/inductor/169220 -> ciflow/inductor/169220 2025-12-04T09:38:17.9890448Z * [new tag] ciflow/inductor/169230 -> ciflow/inductor/169230 2025-12-04T09:38:17.9891206Z * [new tag] ciflow/inductor/169242 -> ciflow/inductor/169242 2025-12-04T09:38:17.9892249Z * [new tag] ciflow/inductor/169245 -> ciflow/inductor/169245 2025-12-04T09:38:17.9893125Z * [new tag] ciflow/inductor/169260 -> ciflow/inductor/169260 2025-12-04T09:38:17.9893975Z * [new tag] ciflow/inductor/169282 -> ciflow/inductor/169282 2025-12-04T09:38:17.9894858Z * [new tag] ciflow/inductor/169286 -> ciflow/inductor/169286 2025-12-04T09:38:17.9895713Z * [new tag] ciflow/inductor/169299 -> ciflow/inductor/169299 2025-12-04T09:38:17.9896812Z * [new tag] ciflow/inductor/169304 -> ciflow/inductor/169304 2025-12-04T09:38:17.9898276Z * [new tag] ciflow/inductor/169305 -> ciflow/inductor/169305 2025-12-04T09:38:17.9899044Z * [new tag] ciflow/inductor/169308 -> ciflow/inductor/169308 2025-12-04T09:38:17.9900061Z * [new tag] ciflow/inductor/169319 -> ciflow/inductor/169319 2025-12-04T09:38:17.9900833Z * [new tag] ciflow/inductor/169326 -> ciflow/inductor/169326 2025-12-04T09:38:17.9901729Z * [new tag] ciflow/inductor/169332 -> ciflow/inductor/169332 2025-12-04T09:38:17.9902570Z * [new tag] ciflow/inductor/169333 -> ciflow/inductor/169333 2025-12-04T09:38:17.9903791Z * [new tag] ciflow/inductor/169336 -> ciflow/inductor/169336 2025-12-04T09:38:17.9904783Z * [new tag] ciflow/inductor/169340 -> ciflow/inductor/169340 2025-12-04T09:38:17.9905865Z * [new tag] ciflow/inductor/169341 -> ciflow/inductor/169341 2025-12-04T09:38:17.9906640Z * [new tag] ciflow/inductor/169343 -> ciflow/inductor/169343 2025-12-04T09:38:17.9907508Z * [new tag] ciflow/inductor/169346 -> ciflow/inductor/169346 2025-12-04T09:38:17.9908589Z * [new tag] ciflow/inductor/169348 -> ciflow/inductor/169348 2025-12-04T09:38:17.9909629Z * [new tag] ciflow/inductor/169350 -> ciflow/inductor/169350 2025-12-04T09:38:17.9910537Z * [new tag] ciflow/inductor/169355 -> ciflow/inductor/169355 2025-12-04T09:38:17.9911308Z * [new tag] ciflow/inductor/169370 -> ciflow/inductor/169370 2025-12-04T09:38:17.9912643Z * [new tag] ciflow/inductor/169375 -> ciflow/inductor/169375 2025-12-04T09:38:17.9913370Z * [new tag] ciflow/inductor/169389 -> ciflow/inductor/169389 2025-12-04T09:38:17.9914251Z * [new tag] ciflow/inductor/169391 -> ciflow/inductor/169391 2025-12-04T09:38:17.9915122Z * [new tag] ciflow/inductor/169393 -> ciflow/inductor/169393 2025-12-04T09:38:17.9916024Z * [new tag] ciflow/inductor/169399 -> ciflow/inductor/169399 2025-12-04T09:38:17.9917245Z * [new tag] ciflow/inductor/169400 -> ciflow/inductor/169400 2025-12-04T09:38:17.9917855Z * [new tag] ciflow/inductor/169415 -> ciflow/inductor/169415 2025-12-04T09:38:17.9918983Z * [new tag] ciflow/inductor/169417 -> ciflow/inductor/169417 2025-12-04T09:38:17.9919652Z * [new tag] ciflow/inductor/169418 -> ciflow/inductor/169418 2025-12-04T09:38:17.9920870Z * [new tag] ciflow/inductor/169430 -> ciflow/inductor/169430 2025-12-04T09:38:17.9921618Z * [new tag] ciflow/inductor/169432 -> ciflow/inductor/169432 2025-12-04T09:38:17.9922669Z * [new tag] ciflow/inductor/169436 -> ciflow/inductor/169436 2025-12-04T09:38:17.9923496Z * [new tag] ciflow/inductor/169437 -> ciflow/inductor/169437 2025-12-04T09:38:17.9924367Z * [new tag] ciflow/inductor/169438 -> ciflow/inductor/169438 2025-12-04T09:38:17.9925256Z * [new tag] ciflow/inductor/169441 -> ciflow/inductor/169441 2025-12-04T09:38:17.9926075Z * [new tag] ciflow/inductor/169446 -> ciflow/inductor/169446 2025-12-04T09:38:17.9927386Z * [new tag] ciflow/inductor/169447 -> ciflow/inductor/169447 2025-12-04T09:38:17.9928274Z * [new tag] ciflow/inductor/169452 -> ciflow/inductor/169452 2025-12-04T09:38:17.9929466Z * [new tag] ciflow/inductor/169455 -> ciflow/inductor/169455 2025-12-04T09:38:17.9930246Z * [new tag] ciflow/inductor/169459 -> ciflow/inductor/169459 2025-12-04T09:38:17.9931453Z * [new tag] ciflow/inductor/169463 -> ciflow/inductor/169463 2025-12-04T09:38:17.9932503Z * [new tag] ciflow/inductor/169476 -> ciflow/inductor/169476 2025-12-04T09:38:17.9933281Z * [new tag] ciflow/inductor/169485 -> ciflow/inductor/169485 2025-12-04T09:38:17.9934142Z * [new tag] ciflow/inductor/169493 -> ciflow/inductor/169493 2025-12-04T09:38:17.9935001Z * [new tag] ciflow/inductor/169496 -> ciflow/inductor/169496 2025-12-04T09:38:17.9936003Z * [new tag] ciflow/inductor/169497 -> ciflow/inductor/169497 2025-12-04T09:38:17.9936799Z * [new tag] ciflow/inductor/169503 -> ciflow/inductor/169503 2025-12-04T09:38:17.9938245Z * [new tag] ciflow/inductor/169504 -> ciflow/inductor/169504 2025-12-04T09:38:17.9939426Z * [new tag] ciflow/inductor/169505 -> ciflow/inductor/169505 2025-12-04T09:38:17.9940784Z * [new tag] ciflow/inductor/169508 -> ciflow/inductor/169508 2025-12-04T09:38:17.9941617Z * [new tag] ciflow/inductor/169509 -> ciflow/inductor/169509 2025-12-04T09:38:17.9942643Z * [new tag] ciflow/inductor/169513 -> ciflow/inductor/169513 2025-12-04T09:38:17.9943398Z * [new tag] ciflow/inductor/169514 -> ciflow/inductor/169514 2025-12-04T09:38:17.9944279Z * [new tag] ciflow/inductor/169515 -> ciflow/inductor/169515 2025-12-04T09:38:17.9945165Z * [new tag] ciflow/inductor/169517 -> ciflow/inductor/169517 2025-12-04T09:38:17.9946016Z * [new tag] ciflow/inductor/169519 -> ciflow/inductor/169519 2025-12-04T09:38:17.9946879Z * [new tag] ciflow/inductor/169520 -> ciflow/inductor/169520 2025-12-04T09:38:17.9947762Z * [new tag] ciflow/inductor/169521 -> ciflow/inductor/169521 2025-12-04T09:38:17.9948631Z * [new tag] ciflow/inductor/169524 -> ciflow/inductor/169524 2025-12-04T09:38:17.9949512Z * [new tag] ciflow/inductor/169527 -> ciflow/inductor/169527 2025-12-04T09:38:17.9950406Z * [new tag] ciflow/inductor/169528 -> ciflow/inductor/169528 2025-12-04T09:38:17.9951513Z * [new tag] ciflow/inductor/169532 -> ciflow/inductor/169532 2025-12-04T09:38:17.9952294Z * [new tag] ciflow/inductor/169535 -> ciflow/inductor/169535 2025-12-04T09:38:17.9953151Z * [new tag] ciflow/inductor/169536 -> ciflow/inductor/169536 2025-12-04T09:38:17.9954120Z * [new tag] ciflow/inductor/169547 -> ciflow/inductor/169547 2025-12-04T09:38:17.9954907Z * [new tag] ciflow/inductor/169548 -> ciflow/inductor/169548 2025-12-04T09:38:17.9955894Z * [new tag] ciflow/inductor/169549 -> ciflow/inductor/169549 2025-12-04T09:38:17.9956677Z * [new tag] ciflow/inductor/169551 -> ciflow/inductor/169551 2025-12-04T09:38:17.9957535Z * [new tag] ciflow/inductor/169552 -> ciflow/inductor/169552 2025-12-04T09:38:17.9958643Z * [new tag] ciflow/inductor/169553 -> ciflow/inductor/169553 2025-12-04T09:38:17.9959423Z * [new tag] ciflow/inductor/169557 -> ciflow/inductor/169557 2025-12-04T09:38:17.9960729Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-12-04T09:38:17.9961817Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-12-04T09:38:17.9962828Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-12-04T09:38:17.9963918Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-12-04T09:38:17.9964617Z * [new tag] ciflow/linux-aarch64/166075 -> ciflow/linux-aarch64/166075 2025-12-04T09:38:17.9965459Z * [new tag] ciflow/linux-aarch64/166876 -> ciflow/linux-aarch64/166876 2025-12-04T09:38:17.9966263Z * [new tag] ciflow/linux-aarch64/167981 -> ciflow/linux-aarch64/167981 2025-12-04T09:38:17.9967311Z * [new tag] ciflow/mps/166254 -> ciflow/mps/166254 2025-12-04T09:38:17.9968053Z * [new tag] ciflow/mps/169017 -> ciflow/mps/169017 2025-12-04T09:38:17.9969086Z * [new tag] ciflow/mps/169372 -> ciflow/mps/169372 2025-12-04T09:38:17.9969852Z * [new tag] ciflow/mps/169478 -> ciflow/mps/169478 2025-12-04T09:38:17.9971090Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-12-04T09:38:17.9971857Z * [new tag] ciflow/op-benchmark/166075 -> ciflow/op-benchmark/166075 2025-12-04T09:38:17.9972672Z * [new tag] ciflow/op-benchmark/169544 -> ciflow/op-benchmark/169544 2025-12-04T09:38:17.9973911Z * [new tag] ciflow/periodic-rocm-mi200/165997 -> ciflow/periodic-rocm-mi200/165997 2025-12-04T09:38:17.9975303Z * [new tag] ciflow/periodic-rocm-mi200/166517 -> ciflow/periodic-rocm-mi200/166517 2025-12-04T09:38:17.9976002Z * [new tag] ciflow/periodic-rocm-mi200/169063 -> ciflow/periodic-rocm-mi200/169063 2025-12-04T09:38:17.9976864Z * [new tag] ciflow/periodic-rocm-mi200/169425 -> ciflow/periodic-rocm-mi200/169425 2025-12-04T09:38:17.9978053Z * [new tag] ciflow/periodic-rocm-mi300/166517 -> ciflow/periodic-rocm-mi300/166517 2025-12-04T09:38:17.9978896Z * [new tag] ciflow/periodic-rocm-mi300/169063 -> ciflow/periodic-rocm-mi300/169063 2025-12-04T09:38:17.9979574Z * [new tag] ciflow/periodic-rocm-mi300/169425 -> ciflow/periodic-rocm-mi300/169425 2025-12-04T09:38:17.9980917Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-12-04T09:38:17.9981658Z * [new tag] ciflow/periodic/167207 -> ciflow/periodic/167207 2025-12-04T09:38:17.9982718Z * [new tag] ciflow/periodic/167978 -> ciflow/periodic/167978 2025-12-04T09:38:17.9983555Z * [new tag] ciflow/periodic/168096 -> ciflow/periodic/168096 2025-12-04T09:38:17.9984365Z * [new tag] ciflow/periodic/169286 -> ciflow/periodic/169286 2025-12-04T09:38:17.9985537Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-12-04T09:38:17.9986609Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-12-04T09:38:17.9987508Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-12-04T09:38:17.9988614Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-12-04T09:38:17.9990282Z * [new tag] ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> ciflow/periodic/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:38:17.9991222Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-12-04T09:38:17.9992672Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-12-04T09:38:17.9993739Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-12-04T09:38:17.9994673Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-12-04T09:38:17.9995900Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-12-04T09:38:17.9997146Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-12-04T09:38:17.9998678Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-12-04T09:38:18.0000152Z * [new tag] ciflow/pull/167207 -> ciflow/pull/167207 2025-12-04T09:38:18.0001462Z * [new tag] ciflow/quantization-periodic/169207 -> ciflow/quantization-periodic/169207 2025-12-04T09:38:18.0002244Z * [new tag] ciflow/rocm-mi200/165545 -> ciflow/rocm-mi200/165545 2025-12-04T09:38:18.0003081Z * [new tag] ciflow/rocm-mi200/165997 -> ciflow/rocm-mi200/165997 2025-12-04T09:38:18.0003900Z * [new tag] ciflow/rocm-mi200/168096 -> ciflow/rocm-mi200/168096 2025-12-04T09:38:18.0005193Z * [new tag] ciflow/rocm-mi200/168275 -> ciflow/rocm-mi200/168275 2025-12-04T09:38:18.0008869Z * [new tag] ciflow/rocm-mi200/169063 -> ciflow/rocm-mi200/169063 2025-12-04T09:38:18.0009931Z * [new tag] ciflow/rocm-mi200/169356 -> ciflow/rocm-mi200/169356 2025-12-04T09:38:18.0010632Z * [new tag] ciflow/rocm-mi200/169425 -> ciflow/rocm-mi200/169425 2025-12-04T09:38:18.0011924Z * [new tag] ciflow/rocm-mi300/165545 -> ciflow/rocm-mi300/165545 2025-12-04T09:38:18.0012805Z * [new tag] ciflow/rocm-mi300/167157 -> ciflow/rocm-mi300/167157 2025-12-04T09:38:18.0013798Z * [new tag] ciflow/rocm-mi300/168096 -> ciflow/rocm-mi300/168096 2025-12-04T09:38:18.0014458Z * [new tag] ciflow/rocm-mi300/169063 -> ciflow/rocm-mi300/169063 2025-12-04T09:38:18.0015499Z * [new tag] ciflow/rocm-mi300/169425 -> ciflow/rocm-mi300/169425 2025-12-04T09:38:18.0016506Z * [new tag] ciflow/rocm-mi355/167157 -> ciflow/rocm-mi355/167157 2025-12-04T09:38:18.0017291Z * [new tag] ciflow/rocm-mi355/168275 -> ciflow/rocm-mi355/168275 2025-12-04T09:38:18.0018110Z * [new tag] ciflow/rocm-mi355/169425 -> ciflow/rocm-mi355/169425 2025-12-04T09:38:18.0019230Z * [new tag] ciflow/rocm-navi31/168275 -> ciflow/rocm-navi31/168275 2025-12-04T09:38:18.0019965Z * [new tag] ciflow/rocm-navi31/169425 -> ciflow/rocm-navi31/169425 2025-12-04T09:38:18.0021086Z * [new tag] ciflow/rocm/115316 -> ciflow/rocm/115316 2025-12-04T09:38:18.0021800Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-12-04T09:38:18.0022634Z * [new tag] ciflow/rocm/160685 -> ciflow/rocm/160685 2025-12-04T09:38:18.0023472Z * [new tag] ciflow/rocm/161607 -> ciflow/rocm/161607 2025-12-04T09:38:18.0024542Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-12-04T09:38:18.0025046Z * [new tag] ciflow/rocm/165997 -> ciflow/rocm/165997 2025-12-04T09:38:18.0026039Z * [new tag] ciflow/rocm/166165 -> ciflow/rocm/166165 2025-12-04T09:38:18.0026747Z * [new tag] ciflow/rocm/166517 -> ciflow/rocm/166517 2025-12-04T09:38:18.0027645Z * [new tag] ciflow/rocm/167207 -> ciflow/rocm/167207 2025-12-04T09:38:18.0028372Z * [new tag] ciflow/rocm/167536 -> ciflow/rocm/167536 2025-12-04T09:38:18.0029185Z * [new tag] ciflow/rocm/167781 -> ciflow/rocm/167781 2025-12-04T09:38:18.0030419Z * [new tag] ciflow/rocm/167989 -> ciflow/rocm/167989 2025-12-04T09:38:18.0031536Z * [new tag] ciflow/rocm/168073 -> ciflow/rocm/168073 2025-12-04T09:38:18.0032513Z * [new tag] ciflow/rocm/168195 -> ciflow/rocm/168195 2025-12-04T09:38:18.0033312Z * [new tag] ciflow/rocm/168939 -> ciflow/rocm/168939 2025-12-04T09:38:18.0034173Z * [new tag] ciflow/rocm/168971 -> ciflow/rocm/168971 2025-12-04T09:38:18.0035170Z * [new tag] ciflow/rocm/169024 -> ciflow/rocm/169024 2025-12-04T09:38:18.0035882Z * [new tag] ciflow/rocm/169200 -> ciflow/rocm/169200 2025-12-04T09:38:18.0036721Z * [new tag] ciflow/rocm/169216 -> ciflow/rocm/169216 2025-12-04T09:38:18.0037609Z * [new tag] ciflow/rocm/169312 -> ciflow/rocm/169312 2025-12-04T09:38:18.0038453Z * [new tag] ciflow/rocm/169380 -> ciflow/rocm/169380 2025-12-04T09:38:18.0039314Z * [new tag] ciflow/rocm/169427 -> ciflow/rocm/169427 2025-12-04T09:38:18.0040148Z * [new tag] ciflow/rocm/169455 -> ciflow/rocm/169455 2025-12-04T09:38:18.0041247Z * [new tag] ciflow/rocm/169470 -> ciflow/rocm/169470 2025-12-04T09:38:18.0041995Z * [new tag] ciflow/rocm/169471 -> ciflow/rocm/169471 2025-12-04T09:38:18.0042826Z * [new tag] ciflow/rocm/169472 -> ciflow/rocm/169472 2025-12-04T09:38:18.0043678Z * [new tag] ciflow/rocm/169514 -> ciflow/rocm/169514 2025-12-04T09:38:18.0045027Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-12-04T09:38:18.0046022Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-12-04T09:38:18.0047524Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-12-04T09:38:18.0048011Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-12-04T09:38:18.0048838Z * [new tag] ciflow/slow/167207 -> ciflow/slow/167207 2025-12-04T09:38:18.0049691Z * [new tag] ciflow/slow/168050 -> ciflow/slow/168050 2025-12-04T09:38:18.0050814Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-12-04T09:38:18.0052122Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-12-04T09:38:18.0053385Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-12-04T09:38:18.0054688Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-12-04T09:38:18.0055864Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-12-04T09:38:18.0056951Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-12-04T09:38:18.0058529Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-12-04T09:38:18.0059581Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-12-04T09:38:18.0061591Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-12-04T09:38:18.0061843Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-12-04T09:38:18.0062980Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-12-04T09:38:18.0063775Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-12-04T09:38:18.0064965Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-12-04T09:38:18.0066034Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-12-04T09:38:18.0067719Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-12-04T09:38:18.0068293Z * [new tag] ciflow/torchbench/168175 -> ciflow/torchbench/168175 2025-12-04T09:38:18.0069393Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-12-04T09:38:18.0070107Z * [new tag] ciflow/trunk/157149 -> ciflow/trunk/157149 2025-12-04T09:38:18.0070935Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-12-04T09:38:18.0072021Z * [new tag] ciflow/trunk/159718 -> ciflow/trunk/159718 2025-12-04T09:38:18.0072697Z * [new tag] ciflow/trunk/160685 -> ciflow/trunk/160685 2025-12-04T09:38:18.0073534Z * [new tag] ciflow/trunk/160729 -> ciflow/trunk/160729 2025-12-04T09:38:18.0074359Z * [new tag] ciflow/trunk/162275 -> ciflow/trunk/162275 2025-12-04T09:38:18.0075188Z * [new tag] ciflow/trunk/162795 -> ciflow/trunk/162795 2025-12-04T09:38:18.0076211Z * [new tag] ciflow/trunk/163245 -> ciflow/trunk/163245 2025-12-04T09:38:18.0077019Z * [new tag] ciflow/trunk/163942 -> ciflow/trunk/163942 2025-12-04T09:38:18.0077735Z * [new tag] ciflow/trunk/165274 -> ciflow/trunk/165274 2025-12-04T09:38:18.0079122Z * [new tag] ciflow/trunk/165483 -> ciflow/trunk/165483 2025-12-04T09:38:18.0080298Z * [new tag] ciflow/trunk/165728 -> ciflow/trunk/165728 2025-12-04T09:38:18.0081276Z * [new tag] ciflow/trunk/165922 -> ciflow/trunk/165922 2025-12-04T09:38:18.0082078Z * [new tag] ciflow/trunk/166075 -> ciflow/trunk/166075 2025-12-04T09:38:18.0082940Z * [new tag] ciflow/trunk/166165 -> ciflow/trunk/166165 2025-12-04T09:38:18.0083804Z * [new tag] ciflow/trunk/166829 -> ciflow/trunk/166829 2025-12-04T09:38:18.0084915Z * [new tag] ciflow/trunk/166843 -> ciflow/trunk/166843 2025-12-04T09:38:18.0085680Z * [new tag] ciflow/trunk/166876 -> ciflow/trunk/166876 2025-12-04T09:38:18.0086564Z * [new tag] ciflow/trunk/167207 -> ciflow/trunk/167207 2025-12-04T09:38:18.0087402Z * [new tag] ciflow/trunk/167536 -> ciflow/trunk/167536 2025-12-04T09:38:18.0088393Z * [new tag] ciflow/trunk/167552 -> ciflow/trunk/167552 2025-12-04T09:38:18.0089152Z * [new tag] ciflow/trunk/167555 -> ciflow/trunk/167555 2025-12-04T09:38:18.0090163Z * [new tag] ciflow/trunk/167599 -> ciflow/trunk/167599 2025-12-04T09:38:18.0090983Z * [new tag] ciflow/trunk/167659 -> ciflow/trunk/167659 2025-12-04T09:38:18.0092186Z * [new tag] ciflow/trunk/167672 -> ciflow/trunk/167672 2025-12-04T09:38:18.0092969Z * [new tag] ciflow/trunk/167742 -> ciflow/trunk/167742 2025-12-04T09:38:18.0093798Z * [new tag] ciflow/trunk/167781 -> ciflow/trunk/167781 2025-12-04T09:38:18.0094978Z * [new tag] ciflow/trunk/167837 -> ciflow/trunk/167837 2025-12-04T09:38:18.0095753Z * [new tag] ciflow/trunk/167887 -> ciflow/trunk/167887 2025-12-04T09:38:18.0096606Z * [new tag] ciflow/trunk/167978 -> ciflow/trunk/167978 2025-12-04T09:38:18.0097575Z * [new tag] ciflow/trunk/168050 -> ciflow/trunk/168050 2025-12-04T09:38:18.0098323Z * [new tag] ciflow/trunk/168051 -> ciflow/trunk/168051 2025-12-04T09:38:18.0099186Z * [new tag] ciflow/trunk/168096 -> ciflow/trunk/168096 2025-12-04T09:38:18.0100042Z * [new tag] ciflow/trunk/168127 -> ciflow/trunk/168127 2025-12-04T09:38:18.0101128Z * [new tag] ciflow/trunk/168157 -> ciflow/trunk/168157 2025-12-04T09:38:18.0101842Z * [new tag] ciflow/trunk/168175 -> ciflow/trunk/168175 2025-12-04T09:38:18.0102690Z * [new tag] ciflow/trunk/168209 -> ciflow/trunk/168209 2025-12-04T09:38:18.0103831Z * [new tag] ciflow/trunk/168213 -> ciflow/trunk/168213 2025-12-04T09:38:18.0104960Z * [new tag] ciflow/trunk/168226 -> ciflow/trunk/168226 2025-12-04T09:38:18.0105847Z * [new tag] ciflow/trunk/168262 -> ciflow/trunk/168262 2025-12-04T09:38:18.0106684Z * [new tag] ciflow/trunk/168275 -> ciflow/trunk/168275 2025-12-04T09:38:18.0107796Z * [new tag] ciflow/trunk/168328 -> ciflow/trunk/168328 2025-12-04T09:38:18.0108598Z * [new tag] ciflow/trunk/168368 -> ciflow/trunk/168368 2025-12-04T09:38:18.0109548Z * [new tag] ciflow/trunk/168917 -> ciflow/trunk/168917 2025-12-04T09:38:18.0110346Z * [new tag] ciflow/trunk/168933 -> ciflow/trunk/168933 2025-12-04T09:38:18.0111413Z * [new tag] ciflow/trunk/168941 -> ciflow/trunk/168941 2025-12-04T09:38:18.0112237Z * [new tag] ciflow/trunk/168955 -> ciflow/trunk/168955 2025-12-04T09:38:18.0113087Z * [new tag] ciflow/trunk/168980 -> ciflow/trunk/168980 2025-12-04T09:38:18.0114203Z * [new tag] ciflow/trunk/169004 -> ciflow/trunk/169004 2025-12-04T09:38:18.0114999Z * [new tag] ciflow/trunk/169006 -> ciflow/trunk/169006 2025-12-04T09:38:18.0116388Z * [new tag] ciflow/trunk/169023 -> ciflow/trunk/169023 2025-12-04T09:38:18.0117206Z * [new tag] ciflow/trunk/169025 -> ciflow/trunk/169025 2025-12-04T09:38:18.0118043Z * [new tag] ciflow/trunk/169048 -> ciflow/trunk/169048 2025-12-04T09:38:18.0119043Z * [new tag] ciflow/trunk/169066 -> ciflow/trunk/169066 2025-12-04T09:38:18.0119787Z * [new tag] ciflow/trunk/169091 -> ciflow/trunk/169091 2025-12-04T09:38:18.0120757Z * [new tag] ciflow/trunk/169102 -> ciflow/trunk/169102 2025-12-04T09:38:18.0121544Z * [new tag] ciflow/trunk/169103 -> ciflow/trunk/169103 2025-12-04T09:38:18.0122622Z * [new tag] ciflow/trunk/169125 -> ciflow/trunk/169125 2025-12-04T09:38:18.0123611Z * [new tag] ciflow/trunk/169139 -> ciflow/trunk/169139 2025-12-04T09:38:18.0124607Z * [new tag] ciflow/trunk/169148 -> ciflow/trunk/169148 2025-12-04T09:38:18.0125380Z * [new tag] ciflow/trunk/169151 -> ciflow/trunk/169151 2025-12-04T09:38:18.0126411Z * [new tag] ciflow/trunk/169156 -> ciflow/trunk/169156 2025-12-04T09:38:18.0127386Z * [new tag] ciflow/trunk/169176 -> ciflow/trunk/169176 2025-12-04T09:38:18.0128199Z * [new tag] ciflow/trunk/169204 -> ciflow/trunk/169204 2025-12-04T09:38:18.0129194Z * [new tag] ciflow/trunk/169207 -> ciflow/trunk/169207 2025-12-04T09:38:18.0129980Z * [new tag] ciflow/trunk/169211 -> ciflow/trunk/169211 2025-12-04T09:38:18.0131428Z * [new tag] ciflow/trunk/169231 -> ciflow/trunk/169231 2025-12-04T09:38:18.0132341Z * [new tag] ciflow/trunk/169260 -> ciflow/trunk/169260 2025-12-04T09:38:18.0133535Z * [new tag] ciflow/trunk/169271 -> ciflow/trunk/169271 2025-12-04T09:38:18.0134336Z * [new tag] ciflow/trunk/169280 -> ciflow/trunk/169280 2025-12-04T09:38:18.0135195Z * [new tag] ciflow/trunk/169281 -> ciflow/trunk/169281 2025-12-04T09:38:18.0136029Z * [new tag] ciflow/trunk/169286 -> ciflow/trunk/169286 2025-12-04T09:38:18.0137149Z * [new tag] ciflow/trunk/169293 -> ciflow/trunk/169293 2025-12-04T09:38:18.0137946Z * [new tag] ciflow/trunk/169296 -> ciflow/trunk/169296 2025-12-04T09:38:18.0138888Z * [new tag] ciflow/trunk/169304 -> ciflow/trunk/169304 2025-12-04T09:38:18.0139676Z * [new tag] ciflow/trunk/169305 -> ciflow/trunk/169305 2025-12-04T09:38:18.0140628Z * [new tag] ciflow/trunk/169312 -> ciflow/trunk/169312 2025-12-04T09:38:18.0141823Z * [new tag] ciflow/trunk/169328 -> ciflow/trunk/169328 2025-12-04T09:38:18.0142588Z * [new tag] ciflow/trunk/169343 -> ciflow/trunk/169343 2025-12-04T09:38:18.0143548Z * [new tag] ciflow/trunk/169355 -> ciflow/trunk/169355 2025-12-04T09:38:18.0144321Z * [new tag] ciflow/trunk/169370 -> ciflow/trunk/169370 2025-12-04T09:38:18.0145504Z * [new tag] ciflow/trunk/169379 -> ciflow/trunk/169379 2025-12-04T09:38:18.0146289Z * [new tag] ciflow/trunk/169380 -> ciflow/trunk/169380 2025-12-04T09:38:18.0147132Z * [new tag] ciflow/trunk/169385 -> ciflow/trunk/169385 2025-12-04T09:38:18.0148090Z * [new tag] ciflow/trunk/169387 -> ciflow/trunk/169387 2025-12-04T09:38:18.0149119Z * [new tag] ciflow/trunk/169410 -> ciflow/trunk/169410 2025-12-04T09:38:18.0149892Z * [new tag] ciflow/trunk/169412 -> ciflow/trunk/169412 2025-12-04T09:38:18.0150861Z * [new tag] ciflow/trunk/169418 -> ciflow/trunk/169418 2025-12-04T09:38:18.0151621Z * [new tag] ciflow/trunk/169423 -> ciflow/trunk/169423 2025-12-04T09:38:18.0152621Z * [new tag] ciflow/trunk/169427 -> ciflow/trunk/169427 2025-12-04T09:38:18.0153364Z * [new tag] ciflow/trunk/169430 -> ciflow/trunk/169430 2025-12-04T09:38:18.0154349Z * [new tag] ciflow/trunk/169437 -> ciflow/trunk/169437 2025-12-04T09:38:18.0155111Z * [new tag] ciflow/trunk/169442 -> ciflow/trunk/169442 2025-12-04T09:38:18.0156072Z * [new tag] ciflow/trunk/169452 -> ciflow/trunk/169452 2025-12-04T09:38:18.0156836Z * [new tag] ciflow/trunk/169454 -> ciflow/trunk/169454 2025-12-04T09:38:18.0157789Z * [new tag] ciflow/trunk/169459 -> ciflow/trunk/169459 2025-12-04T09:38:18.0158792Z * [new tag] ciflow/trunk/169474 -> ciflow/trunk/169474 2025-12-04T09:38:18.0159593Z * [new tag] ciflow/trunk/169475 -> ciflow/trunk/169475 2025-12-04T09:38:18.0160632Z * [new tag] ciflow/trunk/169476 -> ciflow/trunk/169476 2025-12-04T09:38:18.0161657Z * [new tag] ciflow/trunk/169487 -> ciflow/trunk/169487 2025-12-04T09:38:18.0162440Z * [new tag] ciflow/trunk/169497 -> ciflow/trunk/169497 2025-12-04T09:38:18.0163415Z * [new tag] ciflow/trunk/169503 -> ciflow/trunk/169503 2025-12-04T09:38:18.0164168Z * [new tag] ciflow/trunk/169505 -> ciflow/trunk/169505 2025-12-04T09:38:18.0165121Z * [new tag] ciflow/trunk/169507 -> ciflow/trunk/169507 2025-12-04T09:38:18.0165899Z * [new tag] ciflow/trunk/169514 -> ciflow/trunk/169514 2025-12-04T09:38:18.0166915Z * [new tag] ciflow/trunk/169517 -> ciflow/trunk/169517 2025-12-04T09:38:18.0167612Z * [new tag] ciflow/trunk/169519 -> ciflow/trunk/169519 2025-12-04T09:38:18.0168547Z * [new tag] ciflow/trunk/169528 -> ciflow/trunk/169528 2025-12-04T09:38:18.0169359Z * [new tag] ciflow/trunk/169541 -> ciflow/trunk/169541 2025-12-04T09:38:18.0170431Z * [new tag] ciflow/trunk/169555 -> ciflow/trunk/169555 2025-12-04T09:38:18.0171866Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-12-04T09:38:18.0172899Z * [new tag] ciflow/vllm/165270 -> ciflow/vllm/165270 2025-12-04T09:38:18.0173658Z * [new tag] ciflow/vllm/165274 -> ciflow/vllm/165274 2025-12-04T09:38:18.0174482Z * [new tag] ciflow/vllm/166494 -> ciflow/vllm/166494 2025-12-04T09:38:18.0175283Z * [new tag] ciflow/vllm/169219 -> ciflow/vllm/169219 2025-12-04T09:38:18.0176113Z * [new tag] ciflow/vllm/169220 -> ciflow/vllm/169220 2025-12-04T09:38:18.0177192Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-12-04T09:38:18.0177973Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-12-04T09:38:18.0178767Z * [new tag] ciflow/xpu/161940 -> ciflow/xpu/161940 2025-12-04T09:38:18.0179839Z * [new tag] ciflow/xpu/163251 -> ciflow/xpu/163251 2025-12-04T09:38:18.0181121Z * [new tag] ciflow/xpu/166829 -> ciflow/xpu/166829 2025-12-04T09:38:18.0181855Z * [new tag] ciflow/xpu/166843 -> ciflow/xpu/166843 2025-12-04T09:38:18.0182673Z * [new tag] ciflow/xpu/167972 -> ciflow/xpu/167972 2025-12-04T09:38:18.0183473Z * [new tag] ciflow/xpu/167981 -> ciflow/xpu/167981 2025-12-04T09:38:18.0184320Z * [new tag] ciflow/xpu/168213 -> ciflow/xpu/168213 2025-12-04T09:38:18.0185133Z * [new tag] ciflow/xpu/168262 -> ciflow/xpu/168262 2025-12-04T09:38:18.0186106Z * [new tag] ciflow/xpu/168328 -> ciflow/xpu/168328 2025-12-04T09:38:18.0187283Z * [new tag] ciflow/xpu/168950 -> ciflow/xpu/168950 2025-12-04T09:38:18.0188523Z * [new tag] ciflow/xpu/169039 -> ciflow/xpu/169039 2025-12-04T09:38:18.0189587Z * [new tag] ciflow/xpu/169200 -> ciflow/xpu/169200 2025-12-04T09:38:18.0190381Z * [new tag] ciflow/xpu/169203 -> ciflow/xpu/169203 2025-12-04T09:38:18.0191246Z * [new tag] ciflow/xpu/169230 -> ciflow/xpu/169230 2025-12-04T09:38:18.0192118Z * [new tag] ciflow/xpu/169231 -> ciflow/xpu/169231 2025-12-04T09:38:18.0193189Z * [new tag] ciflow/xpu/169241 -> ciflow/xpu/169241 2025-12-04T09:38:18.0193992Z * [new tag] ciflow/xpu/169280 -> ciflow/xpu/169280 2025-12-04T09:38:18.0194837Z * [new tag] ciflow/xpu/169296 -> ciflow/xpu/169296 2025-12-04T09:38:18.0195952Z * [new tag] ciflow/xpu/169353 -> ciflow/xpu/169353 2025-12-04T09:38:18.0196707Z * [new tag] ciflow/xpu/169410 -> ciflow/xpu/169410 2025-12-04T09:38:18.0197668Z * [new tag] ciflow/xpu/169442 -> ciflow/xpu/169442 2025-12-04T09:38:18.0198495Z * [new tag] ciflow/xpu/169555 -> ciflow/xpu/169555 2025-12-04T09:38:18.0199579Z * [new tag] cslpull75 -> cslpull75 2025-12-04T09:38:18.0200571Z * [new tag] cslpull76 -> cslpull76 2025-12-04T09:38:18.0201403Z * [new tag] cslpull77 -> cslpull77 2025-12-04T09:38:18.0202519Z * [new tag] cslpull78 -> cslpull78 2025-12-04T09:38:18.0204104Z * [new tag] cslpull79 -> cslpull79 2025-12-04T09:38:18.0205608Z * [new tag] cslpull80 -> cslpull80 2025-12-04T09:38:18.0206437Z * [new tag] cslpull81 -> cslpull81 2025-12-04T09:38:18.0207585Z * [new tag] cslpull82 -> cslpull82 2025-12-04T09:38:18.0208613Z * [new tag] cslpull83 -> cslpull83 2025-12-04T09:38:18.0209553Z * [new tag] cslpull84 -> cslpull84 2025-12-04T09:38:18.0210512Z * [new tag] cslpull85 -> cslpull85 2025-12-04T09:38:18.0211673Z * [new tag] cslpull86 -> cslpull86 2025-12-04T09:38:18.0212716Z * [new tag] cslpull87 -> cslpull87 2025-12-04T09:38:18.0213712Z * [new tag] cslpull88 -> cslpull88 2025-12-04T09:38:18.0214542Z * [new tag] cslpull89 -> cslpull89 2025-12-04T09:38:18.0215360Z * [new tag] cslpull90 -> cslpull90 2025-12-04T09:38:18.0216893Z * [new tag] cslpull91 -> cslpull91 2025-12-04T09:38:18.0217778Z * [new tag] cslpull92 -> cslpull92 2025-12-04T09:38:18.0218942Z * [new tag] flight_5 -> flight_5 2025-12-04T09:38:18.0220208Z * [new tag] flight_5.1 -> flight_5.1 2025-12-04T09:38:18.0221226Z * [new tag] flight_5.2 -> flight_5.2 2025-12-04T09:38:18.0222263Z * [new tag] flight_5.3 -> flight_5.3 2025-12-04T09:38:18.0223272Z * [new tag] forpull1 -> forpull1 2025-12-04T09:38:18.0224499Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-12-04T09:38:18.0225510Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-12-04T09:38:18.0226384Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-12-04T09:38:18.0227670Z * [new tag] nightly-binary -> nightly-binary 2025-12-04T09:38:18.0228704Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-12-04T09:38:18.0229832Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-12-04T09:38:18.0231182Z * [new tag] trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 -> trunk/02d8bd6974cf84b721680d773dbdb1b6f40ce272 2025-12-04T09:38:18.0232112Z * [new tag] trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e -> trunk/066997fb38ade71e00d78e9d572e380b5f02bd3e 2025-12-04T09:38:18.0233559Z * [new tag] trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 -> trunk/076e7b19fa1d481ad778d06d2b49ba57d3ce8c88 2025-12-04T09:38:18.0234694Z * [new tag] trunk/07dcc0b83db3211653a38565a24e15acdba75654 -> trunk/07dcc0b83db3211653a38565a24e15acdba75654 2025-12-04T09:38:18.0235710Z * [new tag] trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb -> trunk/082e96b68dfcd16cab7cfafc4d3d055767dab3eb 2025-12-04T09:38:18.0236738Z * [new tag] trunk/088048f2fea28ff7d450f65c72419ca45780d30b -> trunk/088048f2fea28ff7d450f65c72419ca45780d30b 2025-12-04T09:38:18.0237748Z * [new tag] trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 -> trunk/09076941a95c76f4d9ad189d064dfd8baa39e672 2025-12-04T09:38:18.0238807Z * [new tag] trunk/0b80a4c62b94402844bf221791c096b0035c6d75 -> trunk/0b80a4c62b94402844bf221791c096b0035c6d75 2025-12-04T09:38:18.0240166Z * [new tag] trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 -> trunk/0bbbdf1750567a980634ad907a325357ba8ba8f2 2025-12-04T09:38:18.0241199Z * [new tag] trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 -> trunk/0c281dd78773b2bc17c58ead0e4cd4ac46e775c5 2025-12-04T09:38:18.0242169Z * [new tag] trunk/135f3753c418a6879b1954904184937b67e61688 -> trunk/135f3753c418a6879b1954904184937b67e61688 2025-12-04T09:38:18.0243239Z * [new tag] trunk/15da21026cb13cd20257dc9e96830db108743c10 -> trunk/15da21026cb13cd20257dc9e96830db108743c10 2025-12-04T09:38:18.0244316Z * [new tag] trunk/166efdad2ac827f30fb02504c6017520257f88ec -> trunk/166efdad2ac827f30fb02504c6017520257f88ec 2025-12-04T09:38:18.0245281Z * [new tag] trunk/174272c15fae553d8488140af931f7d8050a313f -> trunk/174272c15fae553d8488140af931f7d8050a313f 2025-12-04T09:38:18.0246679Z * [new tag] trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 -> trunk/18f3ca08f13b8de61307f5e8cd7d4cccb67e9d11 2025-12-04T09:38:18.0247587Z * [new tag] trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 -> trunk/1902eddfe655a15ebcf2c72bd81ade110fdeef63 2025-12-04T09:38:18.0248585Z * [new tag] trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 -> trunk/195f92e98d3d66738577f11f22c4b5c8a1c76dd5 2025-12-04T09:38:18.0249558Z * [new tag] trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 -> trunk/1aa13e17de39e3c768ea7aebaad166ce72a06676 2025-12-04T09:38:18.0250564Z * [new tag] trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e -> trunk/1afe2832f58e24e54a5bfda5a5afa9b96fdea40e 2025-12-04T09:38:18.0251652Z * [new tag] trunk/1c87554d74140eaee964ca8b1832cede67f5f520 -> trunk/1c87554d74140eaee964ca8b1832cede67f5f520 2025-12-04T09:38:18.0252937Z * [new tag] trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 -> trunk/1ccb743b7b5be955f49736c162c4f5004b8a0dd8 2025-12-04T09:38:18.0253960Z * [new tag] trunk/1cee47d6ce0a02227185b566593f002dd639ca0c -> trunk/1cee47d6ce0a02227185b566593f002dd639ca0c 2025-12-04T09:38:18.0254816Z * [new tag] trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d -> trunk/1d21b4df2babe322e5d085ceb6de884eb260a62d 2025-12-04T09:38:18.0257981Z * [new tag] trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 -> trunk/1e34fb2550e4aa650314f7a6d9f6daf4da7478a8 2025-12-04T09:38:18.0258457Z * [new tag] trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de -> trunk/1e526fb5b1d93bfc70691c5c3955fdffc1b7b7de 2025-12-04T09:38:18.0258919Z * [new tag] trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 -> trunk/1ee32a8b1f554a312d79bad01ded24f38cd95543 2025-12-04T09:38:18.0259397Z * [new tag] trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 -> trunk/201e2c4117eb9744594dad6a5c18213d7b4705d7 2025-12-04T09:38:18.0259992Z * [new tag] trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f -> trunk/2353a0f60eb4b4cb6675907a7fa9fbedc1c02e7f 2025-12-04T09:38:18.0261319Z * [new tag] trunk/285779b1621cf9f073a062b0889a642d200308d9 -> trunk/285779b1621cf9f073a062b0889a642d200308d9 2025-12-04T09:38:18.0262115Z * [new tag] trunk/2887faaec6295d081580d09fce161201826c6d87 -> trunk/2887faaec6295d081580d09fce161201826c6d87 2025-12-04T09:38:18.0263149Z * [new tag] trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc -> trunk/296e67c92635443c67b11c0ae1bd045f03ebb7bc 2025-12-04T09:38:18.0264141Z * [new tag] trunk/29856679769b3dede478767e2fe6cfb51197cb25 -> trunk/29856679769b3dede478767e2fe6cfb51197cb25 2025-12-04T09:38:18.0265208Z * [new tag] trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 -> trunk/29e5455a4740c326ab187c7aa7b5ef98034ea563 2025-12-04T09:38:18.0266344Z * [new tag] trunk/2ac3ef882afb23136adc188975f0a8802fc68adf -> trunk/2ac3ef882afb23136adc188975f0a8802fc68adf 2025-12-04T09:38:18.0267684Z * [new tag] trunk/2bec68e73b64715354af076ad309335f943e36cd -> trunk/2bec68e73b64715354af076ad309335f943e36cd 2025-12-04T09:38:18.0268641Z * [new tag] trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 -> trunk/2c87367e6f88662cd5cedbd1537748b7948c38e1 2025-12-04T09:38:18.0269738Z * [new tag] trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 -> trunk/2d1f78fe3ec13820f136a2e0336da12a25f41708 2025-12-04T09:38:18.0270793Z * [new tag] trunk/2df6058f116a65722a0e03073402feb242572d35 -> trunk/2df6058f116a65722a0e03073402feb242572d35 2025-12-04T09:38:18.0271839Z * [new tag] trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec -> trunk/2e0c2e170fe658c440775c8e5c44228aafcc47ec 2025-12-04T09:38:18.0272982Z * [new tag] trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 -> trunk/2f9b7dad7b5419b063bd0f2e204de192720ebb94 2025-12-04T09:38:18.0274021Z * [new tag] trunk/305168768a95d69c444df5cd334bb774edfe06f1 -> trunk/305168768a95d69c444df5cd334bb774edfe06f1 2025-12-04T09:38:18.0275033Z * [new tag] trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 -> trunk/31fc12773026e8e00f054dd79ad9b2491e693b48 2025-12-04T09:38:18.0276080Z * [new tag] trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 -> trunk/320de0c6b0a3e7c6d2693ea5c28d5d0156ba7991 2025-12-04T09:38:18.0277114Z * [new tag] trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 -> trunk/3418bd29475dff06695045fcdf93e7d0dac67da8 2025-12-04T09:38:18.0278075Z * [new tag] trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf -> trunk/34a98608afa0cb5b48f0d6d30432fdd0a2614ddf 2025-12-04T09:38:18.0279023Z * [new tag] trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee -> trunk/35b7a9a26c5923d98aebaa41a031dae21788a9ee 2025-12-04T09:38:18.0280315Z * [new tag] trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 -> trunk/39d07dbf03a911bdd45d1af78d8638dc92074938 2025-12-04T09:38:18.0281041Z * [new tag] trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 -> trunk/3cd98b4205ada151042cc7ff097a82d4a4b18725 2025-12-04T09:38:18.0282071Z * [new tag] trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae -> trunk/3d35fd20a78ff4d016fa80f4e5fad37191d7bcae 2025-12-04T09:38:18.0283090Z * [new tag] trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f -> trunk/409a5fee945c46a3edaf5df162812f201bfd7b2f 2025-12-04T09:38:18.0284143Z * [new tag] trunk/42e9005cda22da3f1c559c3649218cebd671027c -> trunk/42e9005cda22da3f1c559c3649218cebd671027c 2025-12-04T09:38:18.0285216Z * [new tag] trunk/43b94713bbf340d3c124fde02d0f73add4021247 -> trunk/43b94713bbf340d3c124fde02d0f73add4021247 2025-12-04T09:38:18.0286458Z * [new tag] trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c -> trunk/44ac69388a4a5eb463dbd2a13f00d1e3b924566c 2025-12-04T09:38:18.0287385Z * [new tag] trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a -> trunk/45d14e2497292be06ad36eaa1aaaf7c630a2586a 2025-12-04T09:38:18.0288296Z * [new tag] trunk/45d310ad84854dff730c0b12e577d7998d978686 -> trunk/45d310ad84854dff730c0b12e577d7998d978686 2025-12-04T09:38:18.0289752Z * [new tag] trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 -> trunk/47b28ddf7bd74b50fa93b307a7d3b183a6d77f54 2025-12-04T09:38:18.0290585Z * [new tag] trunk/481e5ab336275bd3acd5fa8a611b05b4469012af -> trunk/481e5ab336275bd3acd5fa8a611b05b4469012af 2025-12-04T09:38:18.0291918Z * [new tag] trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 -> trunk/491731647f6b8a9345dcfb3bc9416aea254a7d96 2025-12-04T09:38:18.0292768Z * [new tag] trunk/49a04d26088acc17d948ddd66920f3e16371e873 -> trunk/49a04d26088acc17d948ddd66920f3e16371e873 2025-12-04T09:38:18.0293792Z * [new tag] trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 -> trunk/4bebc827c47d2f1f0fa1a417a5201a97aef3d985 2025-12-04T09:38:18.0294618Z * [new tag] trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f -> trunk/4c246677784c6a14bc2dbb9ff8773ef0a3a3222f 2025-12-04T09:38:18.0295990Z * [new tag] trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa -> trunk/4cfb47ff548b6d996641058cf04a70e311a4c3aa 2025-12-04T09:38:18.0296974Z * [new tag] trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c -> trunk/4e0061c1aa52f606dda8cfab0bd7591e588faf2c 2025-12-04T09:38:18.0299028Z * [new tag] trunk/4fefb8e7e942386ffac764a41b232241f82bea3a -> trunk/4fefb8e7e942386ffac764a41b232241f82bea3a 2025-12-04T09:38:18.0299998Z * [new tag] trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d -> trunk/503b2640023521f5a35cd9a52fc8033d73a95d0d 2025-12-04T09:38:18.0301043Z * [new tag] trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 -> trunk/518c2b1b3dab9a2ef2849e04b3bc2f20c1c41db9 2025-12-04T09:38:18.0302088Z * [new tag] trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 -> trunk/5191b2fa68ba19960912bfd7fd721c79d76bb1f3 2025-12-04T09:38:18.0303196Z * [new tag] trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a -> trunk/52ac0f0dc4acacd219f1317fbc28ec631c01e07a 2025-12-04T09:38:18.0304311Z * [new tag] trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 -> trunk/539ba711b029de9f191070f4f0d12f18f5b7f292 2025-12-04T09:38:18.0309025Z * [new tag] trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 -> trunk/556375b55deebebbc56cb7aef81f4d52f031ba28 2025-12-04T09:38:18.0310237Z * [new tag] trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 -> trunk/55c4ab554845481d0a69a3811937575fe8bb1a66 2025-12-04T09:38:18.0311136Z * [new tag] trunk/5634469fda9e5d98869c82c7d03bb08914245f96 -> trunk/5634469fda9e5d98869c82c7d03bb08914245f96 2025-12-04T09:38:18.0312001Z * [new tag] trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc -> trunk/5778f6ff894686a975a9a23645178ae4c87ad5dc 2025-12-04T09:38:18.0313255Z * [new tag] trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 -> trunk/587d63a3e07de5dc91065f9ef70bcacda9989068 2025-12-04T09:38:18.0314172Z * [new tag] trunk/597930f6b568852356ca9795dac76f9e4653adbd -> trunk/597930f6b568852356ca9795dac76f9e4653adbd 2025-12-04T09:38:18.0315082Z * [new tag] trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 -> trunk/597df3a4e2a67b9fdbe1a89b2f4d74f822274db6 2025-12-04T09:38:18.0316368Z * [new tag] trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 -> trunk/59abd50e931f4efb21b053f7a2911f5d8a49d883 2025-12-04T09:38:18.0317287Z * [new tag] trunk/5a607febc04c3a2b5824c75f3f60307867439a2c -> trunk/5a607febc04c3a2b5824c75f3f60307867439a2c 2025-12-04T09:38:18.0318374Z * [new tag] trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b -> trunk/5bf1cdf4755c54ef462b44cb8041b0a57311556b 2025-12-04T09:38:18.0319267Z * [new tag] trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c -> trunk/5f0030ba63d334d7e8c93a09e41403b89e4c573c 2025-12-04T09:38:18.0320276Z * [new tag] trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 -> trunk/5f21d27e71268464d362a96c9ac09ea475f7f202 2025-12-04T09:38:18.0321342Z * [new tag] trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 -> trunk/5fafc13038c9988d9ac21fa793fbd5890604b447 2025-12-04T09:38:18.0322461Z * [new tag] trunk/61be54a31dc09b59d99b62176fb935aee0b924ef -> trunk/61be54a31dc09b59d99b62176fb935aee0b924ef 2025-12-04T09:38:18.0323480Z * [new tag] trunk/62d3ccd71484ed6a760d909b41487101bbc65719 -> trunk/62d3ccd71484ed6a760d909b41487101bbc65719 2025-12-04T09:38:18.0324755Z * [new tag] trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b -> trunk/641cdb68ae27668eb441d0e49c87a0602c120c2b 2025-12-04T09:38:18.0325727Z * [new tag] trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a -> trunk/65c4620d6bb0c6029f69762c22b91dda2294da9a 2025-12-04T09:38:18.0326808Z * [new tag] trunk/66004b993744b4106bf8afaba71f3c228a804206 -> trunk/66004b993744b4106bf8afaba71f3c228a804206 2025-12-04T09:38:18.0327829Z * [new tag] trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 -> trunk/6658a04c7ca67acb64512341342e7b3ee13ee386 2025-12-04T09:38:18.0328854Z * [new tag] trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 -> trunk/6864e309092a71f8ab0ca6a4dc7f8a4073fd31c4 2025-12-04T09:38:18.0330021Z * [new tag] trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d -> trunk/6c261c6cb07892c90ca19ed51c9705b1659a3f7d 2025-12-04T09:38:18.0331051Z * [new tag] trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b -> trunk/6c8b6a043f1628188b6396b3a2a6e000ca68362b 2025-12-04T09:38:18.0332149Z * [new tag] trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 -> trunk/6ceb4a32f92ae67ce5d7d97931d17401ebf5ffa5 2025-12-04T09:38:18.0333143Z * [new tag] trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 -> trunk/6e404e9b7d6f5fb0de86aa73888c3038248c17f8 2025-12-04T09:38:18.0334241Z * [new tag] trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec -> trunk/6ec30b490aee1db6bcdc7340abddef25784f08ec 2025-12-04T09:38:18.0335265Z * [new tag] trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 -> trunk/6f2783a6c08e1db34275ff25176ffe9aebc30a71 2025-12-04T09:38:18.0336383Z * [new tag] trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d -> trunk/6f53fefeb90ad3281119b5cfc4aa9ffd8a066e3d 2025-12-04T09:38:18.0337408Z * [new tag] trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a -> trunk/6f7dcf51e46d0c880db1a2f5c70de57adb576f4a 2025-12-04T09:38:18.0338495Z * [new tag] trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e -> trunk/6ff831180d2fa436c7f1c1af3adac641fce9d60e 2025-12-04T09:38:18.0340053Z * [new tag] trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 -> trunk/70076464a63ab218a7ceefb0e76ccd7131deb8f8 2025-12-04T09:38:18.0340992Z * [new tag] trunk/70d797a5fc109b20a517646fcaa819477cd0d485 -> trunk/70d797a5fc109b20a517646fcaa819477cd0d485 2025-12-04T09:38:18.0341985Z * [new tag] trunk/7348cb355ff0a6f79cd4871215aea72185748734 -> trunk/7348cb355ff0a6f79cd4871215aea72185748734 2025-12-04T09:38:18.0343008Z * [new tag] trunk/74fe26a1ebe32931783569f2e762e3c2c974901f -> trunk/74fe26a1ebe32931783569f2e762e3c2c974901f 2025-12-04T09:38:18.0344123Z * [new tag] trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 -> trunk/76aeb8c7e0f795b3fddca134cbea9a69da3ee696 2025-12-04T09:38:18.0362432Z * [new tag] trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f -> trunk/7716da9fb23f27a65b41f9f016a2afadf281c18f 2025-12-04T09:38:18.0363036Z * [new tag] trunk/7741edd4ed665f3988052e260863efb508d61a03 -> trunk/7741edd4ed665f3988052e260863efb508d61a03 2025-12-04T09:38:18.0363516Z * [new tag] trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 -> trunk/78adb3b3df41b45d2368b67226d2f864b78939a6 2025-12-04T09:38:18.0363987Z * [new tag] trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 -> trunk/79d7b178225e5ed24d4e1db74e5abbff848f5fb7 2025-12-04T09:38:18.0364433Z * [new tag] trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 -> trunk/7a1e316115fc6996b3f2336822ba5d5f6179f0c3 2025-12-04T09:38:18.0364899Z * [new tag] trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca -> trunk/7a41b66367c38d0af3e8a90f7be48d6b281e7bca 2025-12-04T09:38:18.0365355Z * [new tag] trunk/7b7af390ea8541c611d1ce2018a6934188fc197b -> trunk/7b7af390ea8541c611d1ce2018a6934188fc197b 2025-12-04T09:38:18.0365797Z * [new tag] trunk/7ba4680f3755a560af81aa0f688791e367aa3609 -> trunk/7ba4680f3755a560af81aa0f688791e367aa3609 2025-12-04T09:38:18.0366282Z * [new tag] trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b -> trunk/7bc2a66ded06a0b2549aa51d807edc5dc3e73d1b 2025-12-04T09:38:18.0366730Z * [new tag] trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 -> trunk/7c648509a7470ace9fb2bae960dd4790f7e943e9 2025-12-04T09:38:18.0367210Z * [new tag] trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 -> trunk/7cbc2d034cecd21ab5c9707d0a9c525c17143fb8 2025-12-04T09:38:18.0367679Z * [new tag] trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed -> trunk/7d1bbaf4ba301ea3fba6f3c7bc02d58f6417aaed 2025-12-04T09:38:18.0368284Z * [new tag] trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 -> trunk/7d2a33e4ebf60b217a3cd77feae19231eb996fc8 2025-12-04T09:38:18.0368727Z * [new tag] trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e -> trunk/7eb625920054b1126a7d2d99818aaa188c6ba95e 2025-12-04T09:38:18.0369188Z * [new tag] trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead -> trunk/7f55ba19c456a3d6cc443dd9edb6bb7cca677ead 2025-12-04T09:38:18.0369649Z * [new tag] trunk/81af382128efa094d8702e18f2c133760904c718 -> trunk/81af382128efa094d8702e18f2c133760904c718 2025-12-04T09:38:18.0370092Z * [new tag] trunk/84149583d483e9c973c9a0feda70e4f3964947b0 -> trunk/84149583d483e9c973c9a0feda70e4f3964947b0 2025-12-04T09:38:18.0370547Z * [new tag] trunk/85a315917efe82c24306be805c584ec044951c75 -> trunk/85a315917efe82c24306be805c584ec044951c75 2025-12-04T09:38:18.0371089Z * [new tag] trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece -> trunk/87329491c82a5f8c1cc4ec11d8f55a5de2551ece 2025-12-04T09:38:18.0371540Z * [new tag] trunk/892640e25aeefa8007c5af837214b4502b6b62a6 -> trunk/892640e25aeefa8007c5af837214b4502b6b62a6 2025-12-04T09:38:18.0372011Z * [new tag] trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 -> trunk/89e3bbcb5b5321dc8b9520b4d5a8ee60cea1d0b4 2025-12-04T09:38:18.0372535Z * [new tag] trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c -> trunk/8c73bbbb02159223c0c97d268a0a74cb78158a1c 2025-12-04T09:38:18.0373009Z * [new tag] trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 -> trunk/8d56e98c8db988a22cb2dfaeefb30bc7d2a3cc43 2025-12-04T09:38:18.0373462Z * [new tag] trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 -> trunk/8d9dd9603e5ee26c01007f0cd4f018e584840922 2025-12-04T09:38:18.0373926Z * [new tag] trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca -> trunk/8ef0c0b02b062d75e7c9be2594914a3e784d23ca 2025-12-04T09:38:18.0374378Z * [new tag] trunk/90b27e7e8352cde97d32ddad24740ef819633f38 -> trunk/90b27e7e8352cde97d32ddad24740ef819633f38 2025-12-04T09:38:18.0374822Z * [new tag] trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 -> trunk/90f0139e64b2951815d524b6a373bed20c4fbf90 2025-12-04T09:38:18.0375287Z * [new tag] trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c -> trunk/93d0d6838c56af59b0dba794e6aa08f0c1c7799c 2025-12-04T09:38:18.0375740Z * [new tag] trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 -> trunk/94ca8d5f1e81fea3ae488650a0fb6795049a9f87 2025-12-04T09:38:18.0376212Z * [new tag] trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 -> trunk/9844fbeadd5cebdf1281d6fbf79164139c352693 2025-12-04T09:38:18.0376724Z * [new tag] trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa -> trunk/99024dec888ec1e50b546822a32b6fb2f35e5eaa 2025-12-04T09:38:18.0377717Z * [new tag] trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d -> trunk/9a296e640fc88aa44d275b48cd9cc30c573b169d 2025-12-04T09:38:18.0378728Z * [new tag] trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 -> trunk/9b3e34d8589b29f7b4e7fab6f78711b7ca6e4639 2025-12-04T09:38:18.0379756Z * [new tag] trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 -> trunk/9cd055e547e9b67a5f9827f8999c38d7eda1bcb8 2025-12-04T09:38:18.0380962Z * [new tag] trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d -> trunk/9f0df5686cb4ada94f94620acba2e3c3f363b11d 2025-12-04T09:38:18.0381871Z * [new tag] trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a -> trunk/9f7fceb887d0cfa0326a59b887821c63ff11340a 2025-12-04T09:38:18.0382957Z * [new tag] trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 -> trunk/9f8ef8855d3078d70f7b782540ff2aaf158d6742 2025-12-04T09:38:18.0384179Z * [new tag] trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 -> trunk/9fb52efc797b47a1f425a03aa5e47b866d8b1098 2025-12-04T09:38:18.0385127Z * [new tag] trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa -> trunk/9ff4a2ebc5762d46c73e46b1b523d7ff349fedfa 2025-12-04T09:38:18.0386509Z * [new tag] trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d -> trunk/a0f3937b94422354538ebbd47202d5b0e8a3fd0d 2025-12-04T09:38:18.0387318Z * [new tag] trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c -> trunk/a15066c28b3145e6edbfc88359d0411d14cfc70c 2025-12-04T09:38:18.0388358Z * [new tag] trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 -> trunk/a20f775e82564d2a9979221ed7f3b8d7cf54ce90 2025-12-04T09:38:18.0389385Z * [new tag] trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c -> trunk/a2973fb00ec002dd4b6bbf07385f066efb259b8c 2025-12-04T09:38:18.0390291Z * [new tag] trunk/a7dc6dab9ad911259d4801c502907e531594db45 -> trunk/a7dc6dab9ad911259d4801c502907e531594db45 2025-12-04T09:38:18.0391372Z * [new tag] trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 -> trunk/a951a9cee65c01660bbc6e6fded90ecb10fa6109 2025-12-04T09:38:18.0392605Z * [new tag] trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e -> trunk/abfa1a6d65c7c159e35c72c25979b9da4971689e 2025-12-04T09:38:18.0393678Z * [new tag] trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e -> trunk/ae3a2395bf66151078e2d201716f7d63ce1c6f3e 2025-12-04T09:38:18.0394597Z * [new tag] trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e -> trunk/afdff7f0325080dedac44d080cb5a3b0e65e6c5e 2025-12-04T09:38:18.0395531Z * [new tag] trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 -> trunk/b1aed4e7a72c03a38f44543aaea0dae2e9b76d48 2025-12-04T09:38:18.0396599Z * [new tag] trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 -> trunk/b1decff555cd50e2123c8c6e25cc0d447c411f62 2025-12-04T09:38:18.0397690Z * [new tag] trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 -> trunk/b2b6b034c9fd08672c40e63ef243556ad4c49bd2 2025-12-04T09:38:18.0398729Z * [new tag] trunk/b39813b4a04931682b0491adba2138d01d716d99 -> trunk/b39813b4a04931682b0491adba2138d01d716d99 2025-12-04T09:38:18.0399833Z * [new tag] trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 -> trunk/b3a7edb2311367974cc7cd764cfb11a5d6758b24 2025-12-04T09:38:18.0400947Z * [new tag] trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 -> trunk/b4cc1329c86acaef6d42c1fac7169b8d870ab0d7 2025-12-04T09:38:18.0402201Z * [new tag] trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a -> trunk/b555c39217f765759954a4f9f9bd1e9b87bed11a 2025-12-04T09:38:18.0403207Z * [new tag] trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 -> trunk/b6b6c80379388b7f9932c3e6a0f9907bf430e417 2025-12-04T09:38:18.0404277Z * [new tag] trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 -> trunk/b6b6d912df0b6f4082f8e50b18bd1de1dd7325f4 2025-12-04T09:38:18.0405793Z * [new tag] trunk/b7d60685f8cbc939b68a20871e90db67e729329b -> trunk/b7d60685f8cbc939b68a20871e90db67e729329b 2025-12-04T09:38:18.0406805Z * [new tag] trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e -> trunk/b7f6b9a4fc6259f7af068f31868b3119bb1bac3e 2025-12-04T09:38:18.0408489Z * [new tag] trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf -> trunk/b8c4ba3593761e7b2a3ebd86f040fb07b47c02cf 2025-12-04T09:38:18.0409358Z * [new tag] trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 -> trunk/b9c8f3a4884befb965ff42620ce44a71b04887f5 2025-12-04T09:38:18.0410599Z * [new tag] trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f -> trunk/ba1412546f3082c0958c077acc2025e4dbc33f1f 2025-12-04T09:38:18.0411737Z * [new tag] trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f -> trunk/bac403c0b38c63bdbcc0c31f1c2b0bc0260f610f 2025-12-04T09:38:18.0412806Z * [new tag] trunk/bb3034198b459401fabeab254e1b99f0115046e2 -> trunk/bb3034198b459401fabeab254e1b99f0115046e2 2025-12-04T09:38:18.0413910Z * [new tag] trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 -> trunk/bc39b2b3bc7a6e19a42e62bd576974035086fe55 2025-12-04T09:38:18.0415241Z * [new tag] trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 -> trunk/bc43d5b297f207a11d83d77ddf0152bdaabe15a8 2025-12-04T09:38:18.0416172Z * [new tag] trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 -> trunk/bc6a4863c7246a6493d16d4ea6eee71ec07c6a09 2025-12-04T09:38:18.0417629Z * [new tag] trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 -> trunk/bea4912944defdbcb8b061800caab6cbbbd01df5 2025-12-04T09:38:18.0418724Z * [new tag] trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 -> trunk/c04e2c656f48d82d1521b867bbbf03967b9b7564 2025-12-04T09:38:18.0419844Z * [new tag] trunk/c0660bcee27e7d7731634e274576a7081882bede -> trunk/c0660bcee27e7d7731634e274576a7081882bede 2025-12-04T09:38:18.0420946Z * [new tag] trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac -> trunk/c178ed43d3d99cbefe84fbfb21d6f282b20d62ac 2025-12-04T09:38:18.0422043Z * [new tag] trunk/c55b1e8f61d041ee436d697449eb028931d574fb -> trunk/c55b1e8f61d041ee436d697449eb028931d574fb 2025-12-04T09:38:18.0422940Z * [new tag] trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 -> trunk/c6ae7579fe12fe75f1a8f7043a494c90567273f1 2025-12-04T09:38:18.0424377Z * [new tag] trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 -> trunk/c8210e7d94bad5ae21ac389fa4ba8a463c76c4d0 2025-12-04T09:38:18.0425403Z * [new tag] trunk/cc0853af42122f8185321f542616f4474e717f09 -> trunk/cc0853af42122f8185321f542616f4474e717f09 2025-12-04T09:38:18.0426334Z * [new tag] trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 -> trunk/cddec6562eabfa390d014fa3741a5659cf9c94c9 2025-12-04T09:38:18.0427418Z * [new tag] trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a -> trunk/ce5e7e3bf1f4b69a4f4f93d288ba75b906df492a 2025-12-04T09:38:18.0428775Z * [new tag] trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace -> trunk/d038b0130ec7c20ebcac219301292fd8e98a1ace 2025-12-04T09:38:18.0429691Z * [new tag] trunk/d16447dacaf2420ea175f0c275c75da951f57d39 -> trunk/d16447dacaf2420ea175f0c275c75da951f57d39 2025-12-04T09:38:18.0430740Z * [new tag] trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 -> trunk/d19f1e8cab6810bb2e99141f9976665954c67a50 2025-12-04T09:38:18.0431808Z * [new tag] trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 -> trunk/d1c9f03b2a5af4104721712f8cdffe9b4f340c01 2025-12-04T09:38:18.0433049Z * [new tag] trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf -> trunk/d40f4950f2b7f7aa380a22fe0f6166e71680fbcf 2025-12-04T09:38:18.0434043Z * [new tag] trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 -> trunk/d5038950bacfe36bbf24a47a455fe76901deb8e8 2025-12-04T09:38:18.0435004Z * [new tag] trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d -> trunk/d54ff42903c2ae0533931ff11d23b35f875bdb3d 2025-12-04T09:38:18.0436060Z * [new tag] trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 -> trunk/d76697633a2d2b9cced1ae21161849b33bfe7e47 2025-12-04T09:38:18.0437104Z * [new tag] trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 -> trunk/d78f52b199c547106d4cd9d2856dd0805c118bf1 2025-12-04T09:38:18.0438146Z * [new tag] trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e -> trunk/d8fd5c6eed28e5004150691d048a3f6785e19a8e 2025-12-04T09:38:18.0439232Z * [new tag] trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a -> trunk/d900f5e86745dec76713f4b0ef07005ef36b2f5a 2025-12-04T09:38:18.0440247Z * [new tag] trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b -> trunk/d973dc6b87d763859fe1c5bd1287e3b6b1c49d1b 2025-12-04T09:38:18.0441372Z * [new tag] trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec -> trunk/d998c03304cb6ede76e1ed535b4ddeb6c2bf40ec 2025-12-04T09:38:18.0442469Z * [new tag] trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf -> trunk/d9cb8a70833101dbbe16b99520cfbdd70d0a87bf 2025-12-04T09:38:18.0443528Z * [new tag] trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd -> trunk/d9d5e91b43f70eb8637af55db6856d49be391ffd 2025-12-04T09:38:18.0444517Z * [new tag] trunk/dd18a75336a4fbd7497955cc5665904724fce889 -> trunk/dd18a75336a4fbd7497955cc5665904724fce889 2025-12-04T09:38:18.0445568Z * [new tag] trunk/ded9bcd61a059bf723e6e84689552962b480ea77 -> trunk/ded9bcd61a059bf723e6e84689552962b480ea77 2025-12-04T09:38:18.0447138Z * [new tag] trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c -> trunk/dfbd3714d15c37a7b83b322a6b60f997fc00f50c 2025-12-04T09:38:18.0448351Z * [new tag] trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b -> trunk/e115f9f4e4b039f8e9a642aaa2bd8254a920541b 2025-12-04T09:38:18.0449173Z * [new tag] trunk/e3f24fd73ad74c6e7176687986436956c7c18235 -> trunk/e3f24fd73ad74c6e7176687986436956c7c18235 2025-12-04T09:38:18.0450254Z * [new tag] trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e -> trunk/e7d24d3ff93d1503ba63860b7057438ad93f918e 2025-12-04T09:38:18.0451608Z * [new tag] trunk/ea7035f462a0d2830865ee86c832bd101e1427fc -> trunk/ea7035f462a0d2830865ee86c832bd101e1427fc 2025-12-04T09:38:18.0452648Z * [new tag] trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 -> trunk/eabb7ad2128580ef674446027b95bcf4e21e8df3 2025-12-04T09:38:18.0453767Z * [new tag] trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf -> trunk/eb5c63652a33da42e7018c23df5f20a3eb4c6ccf 2025-12-04T09:38:18.0454828Z * [new tag] trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e -> trunk/ec2c71f5c85021b8938cdafadce24c15a36fd93e 2025-12-04T09:38:18.0455907Z * [new tag] trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e -> trunk/ecbcc3f6bf327856b435b259ac63cc2f328c4b4e 2025-12-04T09:38:18.0457602Z * [new tag] trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 -> trunk/ee87bbe876c42575e961b32a0827d76bc9782ca2 2025-12-04T09:38:18.0458545Z * [new tag] trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 -> trunk/ef019d1d431c4c5a95b594cb90d40a50cd00f5e4 2025-12-04T09:38:18.0459664Z * [new tag] trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 -> trunk/ef8ecc13830a86c4b231f1aad9aba7851db61b53 2025-12-04T09:38:18.0460722Z * [new tag] trunk/f1076f5510920044912247b1abb8760cb820f598 -> trunk/f1076f5510920044912247b1abb8760cb820f598 2025-12-04T09:38:18.0461805Z * [new tag] trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 -> trunk/f2d6a75a00a1d648ca9a0abc6a33e14c3dea6c40 2025-12-04T09:38:18.0462845Z * [new tag] trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 -> trunk/f47dd0ddef1359e5b43e4b962412f67b30ecde56 2025-12-04T09:38:18.0464168Z * [new tag] trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 -> trunk/f49d32dfa4730dcfb1b60eeeb369b5889da983c8 2025-12-04T09:38:18.0465014Z * [new tag] trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 -> trunk/f4dedf78fc30fd4b93975787ca6074ee89db9467 2025-12-04T09:38:18.0466071Z * [new tag] trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 -> trunk/f7c0d03819ebed05c4038f095d66d1b8c54aca17 2025-12-04T09:38:18.0467157Z * [new tag] trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 -> trunk/f7e1bd80a063e17453c361837ba6ea2570920a73 2025-12-04T09:38:18.0468095Z * [new tag] trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 -> trunk/f9bd6c53624c7c0ea3772de78498326e84c2f0e7 2025-12-04T09:38:18.0469237Z * [new tag] trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b -> trunk/fb5be221a46b51bfc9509013b0d85bc5a9d4f15b 2025-12-04T09:38:18.0470290Z * [new tag] trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 -> trunk/fdf863d5e1de3b2688c9511e96876e34581dbfd7 2025-12-04T09:38:18.0472017Z * [new tag] trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 -> trunk/fe0e65adfc0e7ca6e5f57e6ea8b16bd5cc967307 2025-12-04T09:38:18.0472966Z * [new tag] trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 -> trunk/fec710bf89173f5355468a7ce1afe9157c3d9009 2025-12-04T09:38:18.0474174Z * [new tag] trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 -> trunk/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:38:18.0474841Z * [new tag] v0.1.1 -> v0.1.1 2025-12-04T09:38:18.0475944Z * [new tag] v0.1.10 -> v0.1.10 2025-12-04T09:38:18.0476904Z * [new tag] v0.1.11 -> v0.1.11 2025-12-04T09:38:18.0477920Z * [new tag] v0.1.12 -> v0.1.12 2025-12-04T09:38:18.0478885Z * [new tag] v0.1.2 -> v0.1.2 2025-12-04T09:38:18.0479684Z * [new tag] v0.1.3 -> v0.1.3 2025-12-04T09:38:18.0480835Z * [new tag] v0.1.4 -> v0.1.4 2025-12-04T09:38:18.0481780Z * [new tag] v0.1.5 -> v0.1.5 2025-12-04T09:38:18.0482752Z * [new tag] v0.1.6 -> v0.1.6 2025-12-04T09:38:18.0483589Z * [new tag] v0.1.7 -> v0.1.7 2025-12-04T09:38:18.0484661Z * [new tag] v0.1.8 -> v0.1.8 2025-12-04T09:38:18.0485640Z * [new tag] v0.1.9 -> v0.1.9 2025-12-04T09:38:18.0486655Z * [new tag] v0.2.0 -> v0.2.0 2025-12-04T09:38:18.0487645Z * [new tag] v0.3.0 -> v0.3.0 2025-12-04T09:38:18.0488790Z * [new tag] v0.3.1 -> v0.3.1 2025-12-04T09:38:18.0489735Z * [new tag] v0.4.0 -> v0.4.0 2025-12-04T09:38:18.0490716Z * [new tag] v0.4.1 -> v0.4.1 2025-12-04T09:38:18.0491821Z * [new tag] v1.0.0 -> v1.0.0 2025-12-04T09:38:18.0492899Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-12-04T09:38:18.0493718Z * [new tag] v1.0.1 -> v1.0.1 2025-12-04T09:38:18.0494847Z * [new tag] v1.0rc0 -> v1.0rc0 2025-12-04T09:38:18.0495549Z * [new tag] v1.0rc1 -> v1.0rc1 2025-12-04T09:38:18.0496757Z * [new tag] v1.1.0 -> v1.1.0 2025-12-04T09:38:18.0497759Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-12-04T09:38:18.0499078Z * [new tag] v1.10.0 -> v1.10.0 2025-12-04T09:38:18.0500153Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-12-04T09:38:18.0501226Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-12-04T09:38:18.0501966Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-12-04T09:38:18.0503032Z * [new tag] v1.10.1 -> v1.10.1 2025-12-04T09:38:18.0503729Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-12-04T09:38:18.0504817Z * [new tag] v1.10.2 -> v1.10.2 2025-12-04T09:38:18.0505540Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-12-04T09:38:18.0506674Z * [new tag] v1.11.0 -> v1.11.0 2025-12-04T09:38:18.0507820Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-12-04T09:38:18.0508946Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-12-04T09:38:18.0510029Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-12-04T09:38:18.0511073Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-12-04T09:38:18.0512118Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-12-04T09:38:18.0512871Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-12-04T09:38:18.0513633Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-12-04T09:38:18.0514980Z * [new tag] v1.12.0 -> v1.12.0 2025-12-04T09:38:18.0515731Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-12-04T09:38:18.0517325Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-12-04T09:38:18.0518328Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-12-04T09:38:18.0519396Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-12-04T09:38:18.0520418Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-12-04T09:38:18.0521564Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-12-04T09:38:18.0522292Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-12-04T09:38:18.0523200Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-12-04T09:38:18.0523898Z * [new tag] v1.12.1 -> v1.12.1 2025-12-04T09:38:18.0525203Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-12-04T09:38:18.0526204Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-12-04T09:38:18.0527309Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-12-04T09:38:18.0528481Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-12-04T09:38:18.0529257Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-12-04T09:38:18.0530395Z * [new tag] v1.13.0 -> v1.13.0 2025-12-04T09:38:18.0531503Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-12-04T09:38:18.0532497Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-12-04T09:38:18.0533445Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-12-04T09:38:18.0534664Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-12-04T09:38:18.0535372Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-12-04T09:38:18.0536183Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-12-04T09:38:18.0537368Z * [new tag] v1.13.1 -> v1.13.1 2025-12-04T09:38:18.0538098Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-12-04T09:38:18.0539228Z * [new tag] v1.2.0 -> v1.2.0 2025-12-04T09:38:18.0540196Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-12-04T09:38:18.0541207Z * [new tag] v1.3.0 -> v1.3.0 2025-12-04T09:38:18.0542191Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-12-04T09:38:18.0542945Z * [new tag] v1.3.1 -> v1.3.1 2025-12-04T09:38:18.0544040Z * [new tag] v1.4.0 -> v1.4.0 2025-12-04T09:38:18.0545050Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-12-04T09:38:18.0545768Z * [new tag] v1.4.1 -> v1.4.1 2025-12-04T09:38:18.0546912Z * [new tag] v1.5.0 -> v1.5.0 2025-12-04T09:38:18.0548009Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-12-04T09:38:18.0549178Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-12-04T09:38:18.0550219Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-12-04T09:38:18.0551046Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-12-04T09:38:18.0551847Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-12-04T09:38:18.0553063Z * [new tag] v1.5.1 -> v1.5.1 2025-12-04T09:38:18.0553761Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-12-04T09:38:18.0554659Z * [new tag] v1.6.0 -> v1.6.0 2025-12-04T09:38:18.0555736Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-12-04T09:38:18.0556892Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-12-04T09:38:18.0557941Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-12-04T09:38:18.0558968Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-12-04T09:38:18.0560010Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-12-04T09:38:18.0561110Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-12-04T09:38:18.0561827Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-12-04T09:38:18.0563002Z * [new tag] v1.7.0 -> v1.7.0 2025-12-04T09:38:18.0564044Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-12-04T09:38:18.0565171Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-12-04T09:38:18.0566190Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-12-04T09:38:18.0566937Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-12-04T09:38:18.0568066Z * [new tag] v1.7.1 -> v1.7.1 2025-12-04T09:38:18.0569209Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-12-04T09:38:18.0570299Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-12-04T09:38:18.0571127Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-12-04T09:38:18.0572289Z * [new tag] v1.8.0 -> v1.8.0 2025-12-04T09:38:18.0573000Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-12-04T09:38:18.0574123Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-12-04T09:38:18.0575181Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-12-04T09:38:18.0576157Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-12-04T09:38:18.0576929Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-12-04T09:38:18.0577733Z * [new tag] v1.8.1 -> v1.8.1 2025-12-04T09:38:18.0578880Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-12-04T09:38:18.0579630Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-12-04T09:38:18.0581235Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-12-04T09:38:18.0582836Z * [new tag] v1.8.2 -> v1.8.2 2025-12-04T09:38:18.0583591Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-12-04T09:38:18.0584716Z * [new tag] v1.9.0 -> v1.9.0 2025-12-04T09:38:18.0585768Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-12-04T09:38:18.0586884Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-12-04T09:38:18.0587955Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-12-04T09:38:18.0588699Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-12-04T09:38:18.0589857Z * [new tag] v1.9.1 -> v1.9.1 2025-12-04T09:38:18.0591091Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-12-04T09:38:18.0591804Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-12-04T09:38:18.0593007Z * [new tag] v2.0.0 -> v2.0.0 2025-12-04T09:38:18.0594122Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-12-04T09:38:18.0595179Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-12-04T09:38:18.0596239Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-12-04T09:38:18.0597279Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-12-04T09:38:18.0598350Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-12-04T09:38:18.0599166Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-12-04T09:38:18.0600291Z * [new tag] v2.0.1 -> v2.0.1 2025-12-04T09:38:18.0601355Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-12-04T09:38:18.0602176Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-12-04T09:38:18.0603219Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-12-04T09:38:18.0603961Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-12-04T09:38:18.0605841Z * [new tag] v2.1.0 -> v2.1.0 2025-12-04T09:38:18.0606853Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-12-04T09:38:18.0607972Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-12-04T09:38:18.0609057Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-12-04T09:38:18.0610245Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-12-04T09:38:18.0611385Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-12-04T09:38:18.0612169Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-12-04T09:38:18.0613431Z * [new tag] v2.1.1 -> v2.1.1 2025-12-04T09:38:18.0614581Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-12-04T09:38:18.0615647Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-12-04T09:38:18.0616785Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-12-04T09:38:18.0617845Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-12-04T09:38:18.0618847Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-12-04T09:38:18.0620033Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-12-04T09:38:18.0621098Z * [new tag] v2.1.2 -> v2.1.2 2025-12-04T09:38:18.0622175Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-12-04T09:38:18.0623247Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-12-04T09:38:18.0624009Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-12-04T09:38:18.0625245Z * [new tag] v2.2.0 -> v2.2.0 2025-12-04T09:38:18.0626246Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-12-04T09:38:18.0627213Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-12-04T09:38:18.0628298Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-12-04T09:38:18.0629316Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-12-04T09:38:18.0630352Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-12-04T09:38:18.0631380Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-12-04T09:38:18.0632111Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-12-04T09:38:18.0632935Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-12-04T09:38:18.0634088Z * [new tag] v2.2.1 -> v2.2.1 2025-12-04T09:38:18.0635171Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-12-04T09:38:18.0635871Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-12-04T09:38:18.0636786Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-12-04T09:38:18.0637493Z * [new tag] v2.2.2 -> v2.2.2 2025-12-04T09:38:18.0638795Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-12-04T09:38:18.0639535Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-12-04T09:38:18.0640328Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-12-04T09:38:18.0641571Z * [new tag] v2.3.0 -> v2.3.0 2025-12-04T09:38:18.0642543Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-12-04T09:38:18.0643635Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-12-04T09:38:18.0644775Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-12-04T09:38:18.0645505Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-12-04T09:38:18.0646689Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-12-04T09:38:18.0648188Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-12-04T09:38:18.0649287Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-12-04T09:38:18.0650344Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-12-04T09:38:18.0651162Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-12-04T09:38:18.0652380Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-12-04T09:38:18.0653399Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-12-04T09:38:18.0654146Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-12-04T09:38:18.0654961Z * [new tag] v2.3.1 -> v2.3.1 2025-12-04T09:38:18.0656169Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-12-04T09:38:18.0657215Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-12-04T09:38:18.0658315Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-12-04T09:38:18.0659494Z * [new tag] v2.4.0 -> v2.4.0 2025-12-04T09:38:18.0660641Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-12-04T09:38:18.0661658Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-12-04T09:38:18.0662688Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-12-04T09:38:18.0663733Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-12-04T09:38:18.0664846Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-12-04T09:38:18.0665910Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-12-04T09:38:18.0666992Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-12-04T09:38:18.0668015Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-12-04T09:38:18.0669121Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-12-04T09:38:18.0669873Z * [new tag] v2.4.1 -> v2.4.1 2025-12-04T09:38:18.0671065Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-12-04T09:38:18.0672197Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-12-04T09:38:18.0673283Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-12-04T09:38:18.0674338Z * [new tag] v2.5.0 -> v2.5.0 2025-12-04T09:38:18.0675370Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-12-04T09:38:18.0676093Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-12-04T09:38:18.0677213Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-12-04T09:38:18.0678224Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-12-04T09:38:18.0679297Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-12-04T09:38:18.0680341Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-12-04T09:38:18.0681504Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-12-04T09:38:18.0682527Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-12-04T09:38:18.0683651Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-12-04T09:38:18.0684770Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-12-04T09:38:18.0685442Z * [new tag] v2.5.1 -> v2.5.1 2025-12-04T09:38:18.0686221Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-12-04T09:38:18.0687025Z * [new tag] v2.6.0 -> v2.6.0 2025-12-04T09:38:18.0688288Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-12-04T09:38:18.0689417Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-12-04T09:38:18.0690502Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-12-04T09:38:18.0691660Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-12-04T09:38:18.0692989Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-12-04T09:38:18.0694287Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-12-04T09:38:18.0695408Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-12-04T09:38:18.0696652Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-12-04T09:38:18.0697704Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-12-04T09:38:18.0698988Z * [new tag] v2.7.0 -> v2.7.0 2025-12-04T09:38:18.0700017Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-12-04T09:38:18.0700809Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-12-04T09:38:18.0702072Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-12-04T09:38:18.0703125Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-12-04T09:38:18.0704219Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-12-04T09:38:18.0705394Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-12-04T09:38:18.0706422Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-12-04T09:38:18.0707610Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-12-04T09:38:18.0708687Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-12-04T09:38:18.0709852Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-12-04T09:38:18.0710579Z * [new tag] v2.7.1 -> v2.7.1 2025-12-04T09:38:18.0711833Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-12-04T09:38:18.0712935Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-12-04T09:38:18.0714128Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-12-04T09:38:18.0715261Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-12-04T09:38:18.0716715Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-12-04T09:38:18.0717505Z * [new tag] v2.8.0 -> v2.8.0 2025-12-04T09:38:18.0718726Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-12-04T09:38:18.0719759Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-12-04T09:38:18.0721030Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-12-04T09:38:18.0722151Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-12-04T09:38:18.0723231Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-12-04T09:38:18.0724351Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-12-04T09:38:18.0725481Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-12-04T09:38:18.0726502Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-12-04T09:38:18.0727648Z * [new tag] v2.9.0 -> v2.9.0 2025-12-04T09:38:18.0728718Z * [new tag] v2.9.0-rc1 -> v2.9.0-rc1 2025-12-04T09:38:18.0730047Z * [new tag] v2.9.0-rc10 -> v2.9.0-rc10 2025-12-04T09:38:18.0731151Z * [new tag] v2.9.0-rc11 -> v2.9.0-rc11 2025-12-04T09:38:18.0732543Z * [new tag] v2.9.0-rc2 -> v2.9.0-rc2 2025-12-04T09:38:18.0733648Z * [new tag] v2.9.0-rc3 -> v2.9.0-rc3 2025-12-04T09:38:18.0734749Z * [new tag] v2.9.0-rc4 -> v2.9.0-rc4 2025-12-04T09:38:18.0735886Z * [new tag] v2.9.0-rc5 -> v2.9.0-rc5 2025-12-04T09:38:18.0737253Z * [new tag] v2.9.0-rc6 -> v2.9.0-rc6 2025-12-04T09:38:18.0738318Z * [new tag] v2.9.0-rc7 -> v2.9.0-rc7 2025-12-04T09:38:18.0739624Z * [new tag] v2.9.0-rc8 -> v2.9.0-rc8 2025-12-04T09:38:18.0740391Z * [new tag] v2.9.0-rc9 -> v2.9.0-rc9 2025-12-04T09:38:18.0741305Z * [new tag] v2.9.1 -> v2.9.1 2025-12-04T09:38:18.0742460Z * [new tag] v2.9.1-rc1 -> v2.9.1-rc1 2025-12-04T09:38:18.0743622Z * [new tag] v2.9.1-rc2 -> v2.9.1-rc2 2025-12-04T09:38:18.0745150Z * [new tag] viable/strict/1759343184 -> viable/strict/1759343184 2025-12-04T09:38:18.0746095Z * [new tag] viable/strict/1759346540 -> viable/strict/1759346540 2025-12-04T09:38:18.0747151Z * [new tag] viable/strict/1759348181 -> viable/strict/1759348181 2025-12-04T09:38:18.0748169Z * [new tag] viable/strict/1759350324 -> viable/strict/1759350324 2025-12-04T09:38:18.0749149Z * [new tag] viable/strict/1759351793 -> viable/strict/1759351793 2025-12-04T09:38:18.0750150Z * [new tag] viable/strict/1759353844 -> viable/strict/1759353844 2025-12-04T09:38:18.0751114Z * [new tag] viable/strict/1759355374 -> viable/strict/1759355374 2025-12-04T09:38:18.0752102Z * [new tag] viable/strict/1759357472 -> viable/strict/1759357472 2025-12-04T09:38:18.0753081Z * [new tag] viable/strict/1759361002 -> viable/strict/1759361002 2025-12-04T09:38:18.0754358Z * [new tag] viable/strict/1759362585 -> viable/strict/1759362585 2025-12-04T09:38:18.0755602Z * [new tag] viable/strict/1759365359 -> viable/strict/1759365359 2025-12-04T09:38:18.0756675Z * [new tag] viable/strict/1759370089 -> viable/strict/1759370089 2025-12-04T09:38:18.0757873Z * [new tag] viable/strict/1759377554 -> viable/strict/1759377554 2025-12-04T09:38:18.0758894Z * [new tag] viable/strict/1759379133 -> viable/strict/1759379133 2025-12-04T09:38:18.0759922Z * [new tag] viable/strict/1759389871 -> viable/strict/1759389871 2025-12-04T09:38:18.0760999Z * [new tag] viable/strict/1759393562 -> viable/strict/1759393562 2025-12-04T09:38:18.0762117Z * [new tag] viable/strict/1759395076 -> viable/strict/1759395076 2025-12-04T09:38:18.0763304Z * [new tag] viable/strict/1759398579 -> viable/strict/1759398579 2025-12-04T09:38:18.0764366Z * [new tag] viable/strict/1759404142 -> viable/strict/1759404142 2025-12-04T09:38:18.0765409Z * [new tag] viable/strict/1759405773 -> viable/strict/1759405773 2025-12-04T09:38:18.0766418Z * [new tag] viable/strict/1759408041 -> viable/strict/1759408041 2025-12-04T09:38:18.0767438Z * [new tag] viable/strict/1759411593 -> viable/strict/1759411593 2025-12-04T09:38:18.0768423Z * [new tag] viable/strict/1759427395 -> viable/strict/1759427395 2025-12-04T09:38:18.0769438Z * [new tag] viable/strict/1759434582 -> viable/strict/1759434582 2025-12-04T09:38:18.0770479Z * [new tag] viable/strict/1759436720 -> viable/strict/1759436720 2025-12-04T09:38:18.0771751Z * [new tag] viable/strict/1759440219 -> viable/strict/1759440219 2025-12-04T09:38:18.0773210Z * [new tag] viable/strict/1759441948 -> viable/strict/1759441948 2025-12-04T09:38:18.0774215Z * [new tag] viable/strict/1759443860 -> viable/strict/1759443860 2025-12-04T09:38:18.0775238Z * [new tag] viable/strict/1759445377 -> viable/strict/1759445377 2025-12-04T09:38:18.0776324Z * [new tag] viable/strict/1759447415 -> viable/strict/1759447415 2025-12-04T09:38:18.0777347Z * [new tag] viable/strict/1759451750 -> viable/strict/1759451750 2025-12-04T09:38:18.0778451Z * [new tag] viable/strict/1759453910 -> viable/strict/1759453910 2025-12-04T09:38:18.0779502Z * [new tag] viable/strict/1759456483 -> viable/strict/1759456483 2025-12-04T09:38:18.0780618Z * [new tag] viable/strict/1759459279 -> viable/strict/1759459279 2025-12-04T09:38:18.0781648Z * [new tag] viable/strict/1759460742 -> viable/strict/1759460742 2025-12-04T09:38:18.0782669Z * [new tag] viable/strict/1759462025 -> viable/strict/1759462025 2025-12-04T09:38:18.0783799Z * [new tag] viable/strict/1759469086 -> viable/strict/1759469086 2025-12-04T09:38:18.0784878Z * [new tag] viable/strict/1759470581 -> viable/strict/1759470581 2025-12-04T09:38:18.0785904Z * [new tag] viable/strict/1759472786 -> viable/strict/1759472786 2025-12-04T09:38:18.0786896Z * [new tag] viable/strict/1759476294 -> viable/strict/1759476294 2025-12-04T09:38:18.0787920Z * [new tag] viable/strict/1759479963 -> viable/strict/1759479963 2025-12-04T09:38:18.0788911Z * [new tag] viable/strict/1759492177 -> viable/strict/1759492177 2025-12-04T09:38:18.0789936Z * [new tag] viable/strict/1759519278 -> viable/strict/1759519278 2025-12-04T09:38:18.0790996Z * [new tag] viable/strict/1759524580 -> viable/strict/1759524580 2025-12-04T09:38:18.0791884Z * [new tag] viable/strict/1759528193 -> viable/strict/1759528193 2025-12-04T09:38:18.0793276Z * [new tag] viable/strict/1759533797 -> viable/strict/1759533797 2025-12-04T09:38:18.0794306Z * [new tag] viable/strict/1759542780 -> viable/strict/1759542780 2025-12-04T09:38:18.0795391Z * [new tag] viable/strict/1759549779 -> viable/strict/1759549779 2025-12-04T09:38:18.0796501Z * [new tag] viable/strict/1759555455 -> viable/strict/1759555455 2025-12-04T09:38:18.0797652Z * [new tag] viable/strict/1759559176 -> viable/strict/1759559176 2025-12-04T09:38:18.0798717Z * [new tag] viable/strict/1759560629 -> viable/strict/1759560629 2025-12-04T09:38:18.0799726Z * [new tag] viable/strict/1759569848 -> viable/strict/1759569848 2025-12-04T09:38:18.0801004Z * [new tag] viable/strict/1759571382 -> viable/strict/1759571382 2025-12-04T09:38:18.0801994Z * [new tag] viable/strict/1759573474 -> viable/strict/1759573474 2025-12-04T09:38:18.0803025Z * [new tag] viable/strict/1759618187 -> viable/strict/1759618187 2025-12-04T09:38:18.0804052Z * [new tag] viable/strict/1759626742 -> viable/strict/1759626742 2025-12-04T09:38:18.0809170Z * [new tag] viable/strict/1759632427 -> viable/strict/1759632427 2025-12-04T09:38:18.0810424Z * [new tag] viable/strict/1759634971 -> viable/strict/1759634971 2025-12-04T09:38:18.0811684Z * [new tag] viable/strict/1759661382 -> viable/strict/1759661382 2025-12-04T09:38:18.0812766Z * [new tag] viable/strict/1759663294 -> viable/strict/1759663294 2025-12-04T09:38:18.0813554Z * [new tag] viable/strict/1759708178 -> viable/strict/1759708178 2025-12-04T09:38:18.0814834Z * [new tag] viable/strict/1759715695 -> viable/strict/1759715695 2025-12-04T09:38:18.0815875Z * [new tag] viable/strict/1759728293 -> viable/strict/1759728293 2025-12-04T09:38:18.0816962Z * [new tag] viable/strict/1759735513 -> viable/strict/1759735513 2025-12-04T09:38:18.0818044Z * [new tag] viable/strict/1759739177 -> viable/strict/1759739177 2025-12-04T09:38:18.0819063Z * [new tag] viable/strict/1759758635 -> viable/strict/1759758635 2025-12-04T09:38:18.0820123Z * [new tag] viable/strict/1759765784 -> viable/strict/1759765784 2025-12-04T09:38:18.0821163Z * [new tag] viable/strict/1759767948 -> viable/strict/1759767948 2025-12-04T09:38:18.0822233Z * [new tag] viable/strict/1759771461 -> viable/strict/1759771461 2025-12-04T09:38:18.0823046Z * [new tag] viable/strict/1759776706 -> viable/strict/1759776706 2025-12-04T09:38:18.0824177Z * [new tag] viable/strict/1759782317 -> viable/strict/1759782317 2025-12-04T09:38:18.0825332Z * [new tag] viable/strict/1759783777 -> viable/strict/1759783777 2025-12-04T09:38:18.0826408Z * [new tag] viable/strict/1759785815 -> viable/strict/1759785815 2025-12-04T09:38:18.0827514Z * [new tag] viable/strict/1759789459 -> viable/strict/1759789459 2025-12-04T09:38:18.0828538Z * [new tag] viable/strict/1759790974 -> viable/strict/1759790974 2025-12-04T09:38:18.0829310Z * [new tag] viable/strict/1759794583 -> viable/strict/1759794583 2025-12-04T09:38:18.0830437Z * [new tag] viable/strict/1759797408 -> viable/strict/1759797408 2025-12-04T09:38:18.0831516Z * [new tag] viable/strict/1759799518 -> viable/strict/1759799518 2025-12-04T09:38:18.0832551Z * [new tag] viable/strict/1759804909 -> viable/strict/1759804909 2025-12-04T09:38:18.0833593Z * [new tag] viable/strict/1759807643 -> viable/strict/1759807643 2025-12-04T09:38:18.0834637Z * [new tag] viable/strict/1759809089 -> viable/strict/1759809089 2025-12-04T09:38:18.0835785Z * [new tag] viable/strict/1759811145 -> viable/strict/1759811145 2025-12-04T09:38:18.0836808Z * [new tag] viable/strict/1759812581 -> viable/strict/1759812581 2025-12-04T09:38:18.0837902Z * [new tag] viable/strict/1759814683 -> viable/strict/1759814683 2025-12-04T09:38:18.0838922Z * [new tag] viable/strict/1759821889 -> viable/strict/1759821889 2025-12-04T09:38:18.0840053Z * [new tag] viable/strict/1759823376 -> viable/strict/1759823376 2025-12-04T09:38:18.0841034Z * [new tag] viable/strict/1759827107 -> viable/strict/1759827107 2025-12-04T09:38:18.0842061Z * [new tag] viable/strict/1759830577 -> viable/strict/1759830577 2025-12-04T09:38:18.0843171Z * [new tag] viable/strict/1759832720 -> viable/strict/1759832720 2025-12-04T09:38:18.0844257Z * [new tag] viable/strict/1759842063 -> viable/strict/1759842063 2025-12-04T09:38:18.0845743Z * [new tag] viable/strict/1759847121 -> viable/strict/1759847121 2025-12-04T09:38:18.0847174Z * [new tag] viable/strict/1759850721 -> viable/strict/1759850721 2025-12-04T09:38:18.0848220Z * [new tag] viable/strict/1759857870 -> viable/strict/1759857870 2025-12-04T09:38:18.0849309Z * [new tag] viable/strict/1759863143 -> viable/strict/1759863143 2025-12-04T09:38:18.0850303Z * [new tag] viable/strict/1759875874 -> viable/strict/1759875874 2025-12-04T09:38:18.0851187Z * [new tag] viable/strict/1759877385 -> viable/strict/1759877385 2025-12-04T09:38:18.0852351Z * [new tag] viable/strict/1759883801 -> viable/strict/1759883801 2025-12-04T09:38:18.0853544Z * [new tag] viable/strict/1759885922 -> viable/strict/1759885922 2025-12-04T09:38:18.0854383Z * [new tag] viable/strict/1759888488 -> viable/strict/1759888488 2025-12-04T09:38:18.0855495Z * [new tag] viable/strict/1759895471 -> viable/strict/1759895471 2025-12-04T09:38:18.0856522Z * [new tag] viable/strict/1759904803 -> viable/strict/1759904803 2025-12-04T09:38:18.0857807Z * [new tag] viable/strict/1759908300 -> viable/strict/1759908300 2025-12-04T09:38:18.0858877Z * [new tag] viable/strict/1759915520 -> viable/strict/1759915520 2025-12-04T09:38:18.0859909Z * [new tag] viable/strict/1759916978 -> viable/strict/1759916978 2025-12-04T09:38:18.0860727Z * [new tag] viable/strict/1759930024 -> viable/strict/1759930024 2025-12-04T09:38:18.0861933Z * [new tag] viable/strict/1759948122 -> viable/strict/1759948122 2025-12-04T09:38:18.0862996Z * [new tag] viable/strict/1759952983 -> viable/strict/1759952983 2025-12-04T09:38:18.0864082Z * [new tag] viable/strict/1759955121 -> viable/strict/1759955121 2025-12-04T09:38:18.0865084Z * [new tag] viable/strict/1759962298 -> viable/strict/1759962298 2025-12-04T09:38:18.0866190Z * [new tag] viable/strict/1759965837 -> viable/strict/1759965837 2025-12-04T09:38:18.0867249Z * [new tag] viable/strict/1759970213 -> viable/strict/1759970213 2025-12-04T09:38:18.0868354Z * [new tag] viable/strict/1759974894 -> viable/strict/1759974894 2025-12-04T09:38:18.0869360Z * [new tag] viable/strict/1759977763 -> viable/strict/1759977763 2025-12-04T09:38:18.0870575Z * [new tag] viable/strict/1759979241 -> viable/strict/1759979241 2025-12-04T09:38:18.0871685Z * [new tag] viable/strict/1759985417 -> viable/strict/1759985417 2025-12-04T09:38:18.0872730Z * [new tag] viable/strict/1759987490 -> viable/strict/1759987490 2025-12-04T09:38:18.0873782Z * [new tag] viable/strict/1759996180 -> viable/strict/1759996180 2025-12-04T09:38:18.0874802Z * [new tag] viable/strict/1760065682 -> viable/strict/1760065682 2025-12-04T09:38:18.0875884Z * [new tag] viable/strict/1760066894 -> viable/strict/1760066894 2025-12-04T09:38:18.0877070Z * [new tag] viable/strict/1760070345 -> viable/strict/1760070345 2025-12-04T09:38:18.0878128Z * [new tag] viable/strict/1760089782 -> viable/strict/1760089782 2025-12-04T09:38:18.0879155Z * [new tag] viable/strict/1760091921 -> viable/strict/1760091921 2025-12-04T09:38:18.0880200Z * [new tag] viable/strict/1760127924 -> viable/strict/1760127924 2025-12-04T09:38:18.0881263Z * [new tag] viable/strict/1760129489 -> viable/strict/1760129489 2025-12-04T09:38:18.0882470Z * [new tag] viable/strict/1760132980 -> viable/strict/1760132980 2025-12-04T09:38:18.0883577Z * [new tag] viable/strict/1760135060 -> viable/strict/1760135060 2025-12-04T09:38:18.0884623Z * [new tag] viable/strict/1760215782 -> viable/strict/1760215782 2025-12-04T09:38:18.0885797Z * [new tag] viable/strict/1760273849 -> viable/strict/1760273849 2025-12-04T09:38:18.0886870Z * [new tag] viable/strict/1760275517 -> viable/strict/1760275517 2025-12-04T09:38:18.0887911Z * [new tag] viable/strict/1760276979 -> viable/strict/1760276979 2025-12-04T09:38:18.0888993Z * [new tag] viable/strict/1760279007 -> viable/strict/1760279007 2025-12-04T09:38:18.0889785Z * [new tag] viable/strict/1760286328 -> viable/strict/1760286328 2025-12-04T09:38:18.0890685Z * [new tag] viable/strict/1760493304 -> viable/strict/1760493304 2025-12-04T09:38:18.0892051Z * [new tag] viable/strict/1760496298 -> viable/strict/1760496298 2025-12-04T09:38:18.0893084Z * [new tag] viable/strict/1760518396 -> viable/strict/1760518396 2025-12-04T09:38:18.0894188Z * [new tag] viable/strict/1760534864 -> viable/strict/1760534864 2025-12-04T09:38:18.0895275Z * [new tag] viable/strict/1760549062 -> viable/strict/1760549062 2025-12-04T09:38:18.0896400Z * [new tag] viable/strict/1760552799 -> viable/strict/1760552799 2025-12-04T09:38:18.0897477Z * [new tag] viable/strict/1760554355 -> viable/strict/1760554355 2025-12-04T09:38:18.0898663Z * [new tag] viable/strict/1760556275 -> viable/strict/1760556275 2025-12-04T09:38:18.0899726Z * [new tag] viable/strict/1760564979 -> viable/strict/1760564979 2025-12-04T09:38:18.0900824Z * [new tag] viable/strict/1760567049 -> viable/strict/1760567049 2025-12-04T09:38:18.0902387Z * [new tag] viable/strict/1760568585 -> viable/strict/1760568585 2025-12-04T09:38:18.0903410Z * [new tag] viable/strict/1760570630 -> viable/strict/1760570630 2025-12-04T09:38:18.0904636Z * [new tag] viable/strict/1760572180 -> viable/strict/1760572180 2025-12-04T09:38:18.0905862Z * [new tag] viable/strict/1760575094 -> viable/strict/1760575094 2025-12-04T09:38:18.0907071Z * [new tag] viable/strict/1760579709 -> viable/strict/1760579709 2025-12-04T09:38:18.0908718Z * [new tag] viable/strict/1760582614 -> viable/strict/1760582614 2025-12-04T09:38:18.0909820Z * [new tag] viable/strict/1760586815 -> viable/strict/1760586815 2025-12-04T09:38:18.0910637Z * [new tag] viable/strict/1760588829 -> viable/strict/1760588829 2025-12-04T09:38:18.0911757Z * [new tag] viable/strict/1760590200 -> viable/strict/1760590200 2025-12-04T09:38:18.0912888Z * [new tag] viable/strict/1760592311 -> viable/strict/1760592311 2025-12-04T09:38:18.0913937Z * [new tag] viable/strict/1760619733 -> viable/strict/1760619733 2025-12-04T09:38:18.0914720Z * [new tag] viable/strict/1760628335 -> viable/strict/1760628335 2025-12-04T09:38:18.0916330Z * [new tag] viable/strict/1760635490 -> viable/strict/1760635490 2025-12-04T09:38:18.0917415Z * [new tag] viable/strict/1760640743 -> viable/strict/1760640743 2025-12-04T09:38:18.0918486Z * [new tag] viable/strict/1760642528 -> viable/strict/1760642528 2025-12-04T09:38:18.0919490Z * [new tag] viable/strict/1760646330 -> viable/strict/1760646330 2025-12-04T09:38:18.0920563Z * [new tag] viable/strict/1760666101 -> viable/strict/1760666101 2025-12-04T09:38:18.0921557Z * [new tag] viable/strict/1760668990 -> viable/strict/1760668990 2025-12-04T09:38:18.0922691Z * [new tag] viable/strict/1760670600 -> viable/strict/1760670600 2025-12-04T09:38:18.0923724Z * [new tag] viable/strict/1760671704 -> viable/strict/1760671704 2025-12-04T09:38:18.0924785Z * [new tag] viable/strict/1760673121 -> viable/strict/1760673121 2025-12-04T09:38:18.0925819Z * [new tag] viable/strict/1760675352 -> viable/strict/1760675352 2025-12-04T09:38:18.0926887Z * [new tag] viable/strict/1760696731 -> viable/strict/1760696731 2025-12-04T09:38:18.0929538Z * [new tag] viable/strict/1760723515 -> viable/strict/1760723515 2025-12-04T09:38:18.0930559Z * [new tag] viable/strict/1760727234 -> viable/strict/1760727234 2025-12-04T09:38:18.0931801Z * [new tag] viable/strict/1760730578 -> viable/strict/1760730578 2025-12-04T09:38:18.0932916Z * [new tag] viable/strict/1760732726 -> viable/strict/1760732726 2025-12-04T09:38:18.0934088Z * [new tag] viable/strict/1760734180 -> viable/strict/1760734180 2025-12-04T09:38:18.0934964Z * [new tag] viable/strict/1760736251 -> viable/strict/1760736251 2025-12-04T09:38:18.0936114Z * [new tag] viable/strict/1760737772 -> viable/strict/1760737772 2025-12-04T09:38:18.0937186Z * [new tag] viable/strict/1760758005 -> viable/strict/1760758005 2025-12-04T09:38:18.0938198Z * [new tag] viable/strict/1760761532 -> viable/strict/1760761532 2025-12-04T09:38:18.0939350Z * [new tag] viable/strict/1760802581 -> viable/strict/1760802581 2025-12-04T09:38:18.0940402Z * [new tag] viable/strict/1760827772 -> viable/strict/1760827772 2025-12-04T09:38:18.0941419Z * [new tag] viable/strict/1760834524 -> viable/strict/1760834524 2025-12-04T09:38:18.0942645Z * [new tag] viable/strict/1760845009 -> viable/strict/1760845009 2025-12-04T09:38:18.0943712Z * [new tag] viable/strict/1760876836 -> viable/strict/1760876836 2025-12-04T09:38:18.0944765Z * [new tag] viable/strict/1760880329 -> viable/strict/1760880329 2025-12-04T09:38:18.0945859Z * [new tag] viable/strict/1760888987 -> viable/strict/1760888987 2025-12-04T09:38:18.0946798Z * [new tag] viable/strict/1760912664 -> viable/strict/1760912664 2025-12-04T09:38:18.0947908Z * [new tag] viable/strict/1760925321 -> viable/strict/1760925321 2025-12-04T09:38:18.0948905Z * [new tag] viable/strict/1760931488 -> viable/strict/1760931488 2025-12-04T09:38:18.0949997Z * [new tag] viable/strict/1760932693 -> viable/strict/1760932693 2025-12-04T09:38:18.0951378Z * [new tag] viable/strict/1761004184 -> viable/strict/1761004184 2025-12-04T09:38:18.0952508Z * [new tag] viable/strict/1761014748 -> viable/strict/1761014748 2025-12-04T09:38:18.0953577Z * [new tag] viable/strict/1761017491 -> viable/strict/1761017491 2025-12-04T09:38:18.0954604Z * [new tag] viable/strict/1761018806 -> viable/strict/1761018806 2025-12-04T09:38:18.0955742Z * [new tag] viable/strict/1761020754 -> viable/strict/1761020754 2025-12-04T09:38:18.0956804Z * [new tag] viable/strict/1761024303 -> viable/strict/1761024303 2025-12-04T09:38:18.0957845Z * [new tag] viable/strict/1761029582 -> viable/strict/1761029582 2025-12-04T09:38:18.0958943Z * [new tag] viable/strict/1761031535 -> viable/strict/1761031535 2025-12-04T09:38:18.0959936Z * [new tag] viable/strict/1761035196 -> viable/strict/1761035196 2025-12-04T09:38:18.0961061Z * [new tag] viable/strict/1761045825 -> viable/strict/1761045825 2025-12-04T09:38:18.0962156Z * [new tag] viable/strict/1761054796 -> viable/strict/1761054796 2025-12-04T09:38:18.0963243Z * [new tag] viable/strict/1761060314 -> viable/strict/1761060314 2025-12-04T09:38:18.0964280Z * [new tag] viable/strict/1761071198 -> viable/strict/1761071198 2025-12-04T09:38:18.0965404Z * [new tag] viable/strict/1761074628 -> viable/strict/1761074628 2025-12-04T09:38:18.0966429Z * [new tag] viable/strict/1761078351 -> viable/strict/1761078351 2025-12-04T09:38:18.0967501Z * [new tag] viable/strict/1761079822 -> viable/strict/1761079822 2025-12-04T09:38:18.0968535Z * [new tag] viable/strict/1761081873 -> viable/strict/1761081873 2025-12-04T09:38:18.0969583Z * [new tag] viable/strict/1761083392 -> viable/strict/1761083392 2025-12-04T09:38:18.0970665Z * [new tag] viable/strict/1761085465 -> viable/strict/1761085465 2025-12-04T09:38:18.0971966Z * [new tag] viable/strict/1761089099 -> viable/strict/1761089099 2025-12-04T09:38:18.0973083Z * [new tag] viable/strict/1761095535 -> viable/strict/1761095535 2025-12-04T09:38:18.0974098Z * [new tag] viable/strict/1761098119 -> viable/strict/1761098119 2025-12-04T09:38:18.0975725Z * [new tag] viable/strict/1761101330 -> viable/strict/1761101330 2025-12-04T09:38:18.0976810Z * [new tag] viable/strict/1761114425 -> viable/strict/1761114425 2025-12-04T09:38:18.0977971Z * [new tag] viable/strict/1761116036 -> viable/strict/1761116036 2025-12-04T09:38:18.0979033Z * [new tag] viable/strict/1761119379 -> viable/strict/1761119379 2025-12-04T09:38:18.0980114Z * [new tag] viable/strict/1761121601 -> viable/strict/1761121601 2025-12-04T09:38:18.0981182Z * [new tag] viable/strict/1761123234 -> viable/strict/1761123234 2025-12-04T09:38:18.0982218Z * [new tag] viable/strict/1761126621 -> viable/strict/1761126621 2025-12-04T09:38:18.0983239Z * [new tag] viable/strict/1761132259 -> viable/strict/1761132259 2025-12-04T09:38:18.0984395Z * [new tag] viable/strict/1761146746 -> viable/strict/1761146746 2025-12-04T09:38:18.0985407Z * [new tag] viable/strict/1761164752 -> viable/strict/1761164752 2025-12-04T09:38:18.0986372Z * [new tag] viable/strict/1761166198 -> viable/strict/1761166198 2025-12-04T09:38:18.0988010Z * [new tag] viable/strict/1761175424 -> viable/strict/1761175424 2025-12-04T09:38:18.0989077Z * [new tag] viable/strict/1761176983 -> viable/strict/1761176983 2025-12-04T09:38:18.0990264Z * [new tag] viable/strict/1761179891 -> viable/strict/1761179891 2025-12-04T09:38:18.0991338Z * [new tag] viable/strict/1761181930 -> viable/strict/1761181930 2025-12-04T09:38:18.0992416Z * [new tag] viable/strict/1761184516 -> viable/strict/1761184516 2025-12-04T09:38:18.0993585Z * [new tag] viable/strict/1761190179 -> viable/strict/1761190179 2025-12-04T09:38:18.0994605Z * [new tag] viable/strict/1761193558 -> viable/strict/1761193558 2025-12-04T09:38:18.0995614Z * [new tag] viable/strict/1761207990 -> viable/strict/1761207990 2025-12-04T09:38:18.0996671Z * [new tag] viable/strict/1761229539 -> viable/strict/1761229539 2025-12-04T09:38:18.0998007Z * [new tag] viable/strict/1761244031 -> viable/strict/1761244031 2025-12-04T09:38:18.0999019Z * [new tag] viable/strict/1761248986 -> viable/strict/1761248986 2025-12-04T09:38:18.1000150Z * [new tag] viable/strict/1761259791 -> viable/strict/1761259791 2025-12-04T09:38:18.1001135Z * [new tag] viable/strict/1761266139 -> viable/strict/1761266139 2025-12-04T09:38:18.1002275Z * [new tag] viable/strict/1761268316 -> viable/strict/1761268316 2025-12-04T09:38:18.1003307Z * [new tag] viable/strict/1761273805 -> viable/strict/1761273805 2025-12-04T09:38:18.1004328Z * [new tag] viable/strict/1761275261 -> viable/strict/1761275261 2025-12-04T09:38:18.1005612Z * [new tag] viable/strict/1761277913 -> viable/strict/1761277913 2025-12-04T09:38:18.1006806Z * [new tag] viable/strict/1761290701 -> viable/strict/1761290701 2025-12-04T09:38:18.1007914Z * [new tag] viable/strict/1761294396 -> viable/strict/1761294396 2025-12-04T09:38:18.1008938Z * [new tag] viable/strict/1761303047 -> viable/strict/1761303047 2025-12-04T09:38:18.1010012Z * [new tag] viable/strict/1761335388 -> viable/strict/1761335388 2025-12-04T09:38:18.1011297Z * [new tag] viable/strict/1761337551 -> viable/strict/1761337551 2025-12-04T09:38:18.1012491Z * [new tag] viable/strict/1761339007 -> viable/strict/1761339007 2025-12-04T09:38:18.1013542Z * [new tag] viable/strict/1761341050 -> viable/strict/1761341050 2025-12-04T09:38:18.1014615Z * [new tag] viable/strict/1761346188 -> viable/strict/1761346188 2025-12-04T09:38:18.1015825Z * [new tag] viable/strict/1761349792 -> viable/strict/1761349792 2025-12-04T09:38:18.1016862Z * [new tag] viable/strict/1761352620 -> viable/strict/1761352620 2025-12-04T09:38:18.1017924Z * [new tag] viable/strict/1761354730 -> viable/strict/1761354730 2025-12-04T09:38:18.1019020Z * [new tag] viable/strict/1761357298 -> viable/strict/1761357298 2025-12-04T09:38:18.1020363Z * [new tag] viable/strict/1761360201 -> viable/strict/1761360201 2025-12-04T09:38:18.1021097Z * [new tag] viable/strict/1761361753 -> viable/strict/1761361753 2025-12-04T09:38:18.1022313Z * [new tag] viable/strict/1761364351 -> viable/strict/1761364351 2025-12-04T09:38:18.1023358Z * [new tag] viable/strict/1761366338 -> viable/strict/1761366338 2025-12-04T09:38:18.1024540Z * [new tag] viable/strict/1761367802 -> viable/strict/1761367802 2025-12-04T09:38:18.1025609Z * [new tag] viable/strict/1761369889 -> viable/strict/1761369889 2025-12-04T09:38:18.1026610Z * [new tag] viable/strict/1761371385 -> viable/strict/1761371385 2025-12-04T09:38:18.1027900Z * [new tag] viable/strict/1761373581 -> viable/strict/1761373581 2025-12-04T09:38:18.1029126Z * [new tag] viable/strict/1761375054 -> viable/strict/1761375054 2025-12-04T09:38:18.1030176Z * [new tag] viable/strict/1761421785 -> viable/strict/1761421785 2025-12-04T09:38:18.1031395Z * [new tag] viable/strict/1761434614 -> viable/strict/1761434614 2025-12-04T09:38:18.1032803Z * [new tag] viable/strict/1761439254 -> viable/strict/1761439254 2025-12-04T09:38:18.1033884Z * [new tag] viable/strict/1761454187 -> viable/strict/1761454187 2025-12-04T09:38:18.1035087Z * [new tag] viable/strict/1761459991 -> viable/strict/1761459991 2025-12-04T09:38:18.1036319Z * [new tag] viable/strict/1761470668 -> viable/strict/1761470668 2025-12-04T09:38:18.1037822Z * [new tag] viable/strict/1761472188 -> viable/strict/1761472188 2025-12-04T09:38:18.1038907Z * [new tag] viable/strict/1761503178 -> viable/strict/1761503178 2025-12-04T09:38:18.1039984Z * [new tag] viable/strict/1761517492 -> viable/strict/1761517492 2025-12-04T09:38:18.1041021Z * [new tag] viable/strict/1761518981 -> viable/strict/1761518981 2025-12-04T09:38:18.1042222Z * [new tag] viable/strict/1761533609 -> viable/strict/1761533609 2025-12-04T09:38:18.1043017Z * [new tag] viable/strict/1761546438 -> viable/strict/1761546438 2025-12-04T09:38:18.1044282Z * [new tag] viable/strict/1761548133 -> viable/strict/1761548133 2025-12-04T09:38:18.1045657Z * [new tag] viable/strict/1761555186 -> viable/strict/1761555186 2025-12-04T09:38:18.1046795Z * [new tag] viable/strict/1761557178 -> viable/strict/1761557178 2025-12-04T09:38:18.1047852Z * [new tag] viable/strict/1761560772 -> viable/strict/1761560772 2025-12-04T09:38:18.1048969Z * [new tag] viable/strict/1761562266 -> viable/strict/1761562266 2025-12-04T09:38:18.1050184Z * [new tag] viable/strict/1761564260 -> viable/strict/1761564260 2025-12-04T09:38:18.1051356Z * [new tag] viable/strict/1761568072 -> viable/strict/1761568072 2025-12-04T09:38:18.1052423Z * [new tag] viable/strict/1761571683 -> viable/strict/1761571683 2025-12-04T09:38:18.1053333Z * [new tag] viable/strict/1761580199 -> viable/strict/1761580199 2025-12-04T09:38:18.1054441Z * [new tag] viable/strict/1761587383 -> viable/strict/1761587383 2025-12-04T09:38:18.1055661Z * [new tag] viable/strict/1761591165 -> viable/strict/1761591165 2025-12-04T09:38:18.1056551Z * [new tag] viable/strict/1761594575 -> viable/strict/1761594575 2025-12-04T09:38:18.1057705Z * [new tag] viable/strict/1761596710 -> viable/strict/1761596710 2025-12-04T09:38:18.1058770Z * [new tag] viable/strict/1761598189 -> viable/strict/1761598189 2025-12-04T09:38:18.1060332Z * [new tag] viable/strict/1761600254 -> viable/strict/1761600254 2025-12-04T09:38:18.1061243Z * [new tag] viable/strict/1761603879 -> viable/strict/1761603879 2025-12-04T09:38:18.1062420Z * [new tag] viable/strict/1761605429 -> viable/strict/1761605429 2025-12-04T09:38:18.1063717Z * [new tag] viable/strict/1761607468 -> viable/strict/1761607468 2025-12-04T09:38:18.1064746Z * [new tag] viable/strict/1761608983 -> viable/strict/1761608983 2025-12-04T09:38:18.1065866Z * [new tag] viable/strict/1761611846 -> viable/strict/1761611846 2025-12-04T09:38:18.1067041Z * [new tag] viable/strict/1761613922 -> viable/strict/1761613922 2025-12-04T09:38:18.1067867Z * [new tag] viable/strict/1761616504 -> viable/strict/1761616504 2025-12-04T09:38:18.1068878Z * [new tag] viable/strict/1761619599 -> viable/strict/1761619599 2025-12-04T09:38:18.1069974Z * [new tag] viable/strict/1761686693 -> viable/strict/1761686693 2025-12-04T09:38:18.1071029Z * [new tag] viable/strict/1761688179 -> viable/strict/1761688179 2025-12-04T09:38:18.1072027Z * [new tag] viable/strict/1761691973 -> viable/strict/1761691973 2025-12-04T09:38:18.1073243Z * [new tag] viable/strict/1761693884 -> viable/strict/1761693884 2025-12-04T09:38:18.1074363Z * [new tag] viable/strict/1761695389 -> viable/strict/1761695389 2025-12-04T09:38:18.1075470Z * [new tag] viable/strict/1761698408 -> viable/strict/1761698408 2025-12-04T09:38:18.1076543Z * [new tag] viable/strict/1761702931 -> viable/strict/1761702931 2025-12-04T09:38:18.1077615Z * [new tag] viable/strict/1761706307 -> viable/strict/1761706307 2025-12-04T09:38:18.1078721Z * [new tag] viable/strict/1761709065 -> viable/strict/1761709065 2025-12-04T09:38:18.1079872Z * [new tag] viable/strict/1761710285 -> viable/strict/1761710285 2025-12-04T09:38:18.1080980Z * [new tag] viable/strict/1761711983 -> viable/strict/1761711983 2025-12-04T09:38:18.1082212Z * [new tag] viable/strict/1761713514 -> viable/strict/1761713514 2025-12-04T09:38:18.1083430Z * [new tag] viable/strict/1761715523 -> viable/strict/1761715523 2025-12-04T09:38:18.1084581Z * [new tag] viable/strict/1761727973 -> viable/strict/1761727973 2025-12-04T09:38:18.1085786Z * [new tag] viable/strict/1761751558 -> viable/strict/1761751558 2025-12-04T09:38:18.1086943Z * [new tag] viable/strict/1761755187 -> viable/strict/1761755187 2025-12-04T09:38:18.1088108Z * [new tag] viable/strict/1761756826 -> viable/strict/1761756826 2025-12-04T09:38:18.1089237Z * [new tag] viable/strict/1761769551 -> viable/strict/1761769551 2025-12-04T09:38:18.1090433Z * [new tag] viable/strict/1761771032 -> viable/strict/1761771032 2025-12-04T09:38:18.1091403Z * [new tag] viable/strict/1761773101 -> viable/strict/1761773101 2025-12-04T09:38:18.1092655Z * [new tag] viable/strict/1761781792 -> viable/strict/1761781792 2025-12-04T09:38:18.1093891Z * [new tag] viable/strict/1761784788 -> viable/strict/1761784788 2025-12-04T09:38:18.1094974Z * [new tag] viable/strict/1761786740 -> viable/strict/1761786740 2025-12-04T09:38:18.1096060Z * [new tag] viable/strict/1761789332 -> viable/strict/1761789332 2025-12-04T09:38:18.1097700Z * [new tag] viable/strict/1761792569 -> viable/strict/1761792569 2025-12-04T09:38:18.1098806Z * [new tag] viable/strict/1761795289 -> viable/strict/1761795289 2025-12-04T09:38:18.1099923Z * [new tag] viable/strict/1761798345 -> viable/strict/1761798345 2025-12-04T09:38:18.1101026Z * [new tag] viable/strict/1761799827 -> viable/strict/1761799827 2025-12-04T09:38:18.1102173Z * [new tag] viable/strict/1761805604 -> viable/strict/1761805604 2025-12-04T09:38:18.1103292Z * [new tag] viable/strict/1761807202 -> viable/strict/1761807202 2025-12-04T09:38:18.1104434Z * [new tag] viable/strict/1761809094 -> viable/strict/1761809094 2025-12-04T09:38:18.1105711Z * [new tag] viable/strict/1761810576 -> viable/strict/1761810576 2025-12-04T09:38:18.1106829Z * [new tag] viable/strict/1761812771 -> viable/strict/1761812771 2025-12-04T09:38:18.1107813Z * [new tag] viable/strict/1761814363 -> viable/strict/1761814363 2025-12-04T09:38:18.1109058Z * [new tag] viable/strict/1761857410 -> viable/strict/1761857410 2025-12-04T09:38:18.1110174Z * [new tag] viable/strict/1761860985 -> viable/strict/1761860985 2025-12-04T09:38:18.1111385Z * [new tag] viable/strict/1761863094 -> viable/strict/1761863094 2025-12-04T09:38:18.1112490Z * [new tag] viable/strict/1761864590 -> viable/strict/1761864590 2025-12-04T09:38:18.1113605Z * [new tag] viable/strict/1761866675 -> viable/strict/1761866675 2025-12-04T09:38:18.1114944Z * [new tag] viable/strict/1761868178 -> viable/strict/1761868178 2025-12-04T09:38:18.1116093Z * [new tag] viable/strict/1761871111 -> viable/strict/1761871111 2025-12-04T09:38:18.1117223Z * [new tag] viable/strict/1761873126 -> viable/strict/1761873126 2025-12-04T09:38:18.1118348Z * [new tag] viable/strict/1761875714 -> viable/strict/1761875714 2025-12-04T09:38:18.1119461Z * [new tag] viable/strict/1761878924 -> viable/strict/1761878924 2025-12-04T09:38:18.1120640Z * [new tag] viable/strict/1761881727 -> viable/strict/1761881727 2025-12-04T09:38:18.1121722Z * [new tag] viable/strict/1761882959 -> viable/strict/1761882959 2025-12-04T09:38:18.1122949Z * [new tag] viable/strict/1761886268 -> viable/strict/1761886268 2025-12-04T09:38:18.1124016Z * [new tag] viable/strict/1761893641 -> viable/strict/1761893641 2025-12-04T09:38:18.1125151Z * [new tag] viable/strict/1761931517 -> viable/strict/1761931517 2025-12-04T09:38:18.1126245Z * [new tag] viable/strict/1761933080 -> viable/strict/1761933080 2025-12-04T09:38:18.1127354Z * [new tag] viable/strict/1761935217 -> viable/strict/1761935217 2025-12-04T09:38:18.1128526Z * [new tag] viable/strict/1761938533 -> viable/strict/1761938533 2025-12-04T09:38:18.1129730Z * [new tag] viable/strict/1761940184 -> viable/strict/1761940184 2025-12-04T09:38:18.1130913Z * [new tag] viable/strict/1761942338 -> viable/strict/1761942338 2025-12-04T09:38:18.1132056Z * [new tag] viable/strict/1761946100 -> viable/strict/1761946100 2025-12-04T09:38:18.1134743Z * [new tag] viable/strict/1761947374 -> viable/strict/1761947374 2025-12-04T09:38:18.1135073Z * [new tag] viable/strict/1761950978 -> viable/strict/1761950978 2025-12-04T09:38:18.1136048Z * [new tag] viable/strict/1761957727 -> viable/strict/1761957727 2025-12-04T09:38:18.1136887Z * [new tag] viable/strict/1761959532 -> viable/strict/1761959532 2025-12-04T09:38:18.1137960Z * [new tag] viable/strict/1761965366 -> viable/strict/1761965366 2025-12-04T09:38:18.1139223Z * [new tag] viable/strict/1761968066 -> viable/strict/1761968066 2025-12-04T09:38:18.1140414Z * [new tag] viable/strict/1761969322 -> viable/strict/1761969322 2025-12-04T09:38:18.1141570Z * [new tag] viable/strict/1761974723 -> viable/strict/1761974723 2025-12-04T09:38:18.1142727Z * [new tag] viable/strict/1761981837 -> viable/strict/1761981837 2025-12-04T09:38:18.1143874Z * [new tag] viable/strict/1761985546 -> viable/strict/1761985546 2025-12-04T09:38:18.1145047Z * [new tag] viable/strict/1761987030 -> viable/strict/1761987030 2025-12-04T09:38:18.1146199Z * [new tag] viable/strict/1762003554 -> viable/strict/1762003554 2025-12-04T09:38:18.1147286Z * [new tag] viable/strict/1762021560 -> viable/strict/1762021560 2025-12-04T09:38:18.1148362Z * [new tag] viable/strict/1762032190 -> viable/strict/1762032190 2025-12-04T09:38:18.1149494Z * [new tag] viable/strict/1762040981 -> viable/strict/1762040981 2025-12-04T09:38:18.1150689Z * [new tag] viable/strict/1762048525 -> viable/strict/1762048525 2025-12-04T09:38:18.1151767Z * [new tag] viable/strict/1762104223 -> viable/strict/1762104223 2025-12-04T09:38:18.1152875Z * [new tag] viable/strict/1762105778 -> viable/strict/1762105778 2025-12-04T09:38:18.1153950Z * [new tag] viable/strict/1762115109 -> viable/strict/1762115109 2025-12-04T09:38:18.1155067Z * [new tag] viable/strict/1762125840 -> viable/strict/1762125840 2025-12-04T09:38:18.1155887Z * [new tag] viable/strict/1762127377 -> viable/strict/1762127377 2025-12-04T09:38:18.1157545Z * [new tag] viable/strict/1762134925 -> viable/strict/1762134925 2025-12-04T09:38:18.1158535Z * [new tag] viable/strict/1762138338 -> viable/strict/1762138338 2025-12-04T09:38:18.1159875Z * [new tag] viable/strict/1762148993 -> viable/strict/1762148993 2025-12-04T09:38:18.1161004Z * [new tag] viable/strict/1762152871 -> viable/strict/1762152871 2025-12-04T09:38:18.1162095Z * [new tag] viable/strict/1762156183 -> viable/strict/1762156183 2025-12-04T09:38:18.1163212Z * [new tag] viable/strict/1762163457 -> viable/strict/1762163457 2025-12-04T09:38:18.1164297Z * [new tag] viable/strict/1762165569 -> viable/strict/1762165569 2025-12-04T09:38:18.1165392Z * [new tag] viable/strict/1762169035 -> viable/strict/1762169035 2025-12-04T09:38:18.1166540Z * [new tag] viable/strict/1762174936 -> viable/strict/1762174936 2025-12-04T09:38:18.1167639Z * [new tag] viable/strict/1762194412 -> viable/strict/1762194412 2025-12-04T09:38:18.1168743Z * [new tag] viable/strict/1762195876 -> viable/strict/1762195876 2025-12-04T09:38:18.1169857Z * [new tag] viable/strict/1762197788 -> viable/strict/1762197788 2025-12-04T09:38:18.1171072Z * [new tag] viable/strict/1762199389 -> viable/strict/1762199389 2025-12-04T09:38:18.1172543Z * [new tag] viable/strict/1762206585 -> viable/strict/1762206585 2025-12-04T09:38:18.1173746Z * [new tag] viable/strict/1762210184 -> viable/strict/1762210184 2025-12-04T09:38:18.1174599Z * [new tag] viable/strict/1762218736 -> viable/strict/1762218736 2025-12-04T09:38:18.1175861Z * [new tag] viable/strict/1762224529 -> viable/strict/1762224529 2025-12-04T09:38:18.1177175Z * [new tag] viable/strict/1762227253 -> viable/strict/1762227253 2025-12-04T09:38:18.1177889Z * [new tag] viable/strict/1762228515 -> viable/strict/1762228515 2025-12-04T09:38:18.1179238Z * [new tag] viable/strict/1762230349 -> viable/strict/1762230349 2025-12-04T09:38:18.1180329Z * [new tag] viable/strict/1762231859 -> viable/strict/1762231859 2025-12-04T09:38:18.1181603Z * [new tag] viable/strict/1762233925 -> viable/strict/1762233925 2025-12-04T09:38:18.1182863Z * [new tag] viable/strict/1762237630 -> viable/strict/1762237630 2025-12-04T09:38:18.1183733Z * [new tag] viable/strict/1762253522 -> viable/strict/1762253522 2025-12-04T09:38:18.1185100Z * [new tag] viable/strict/1762278588 -> viable/strict/1762278588 2025-12-04T09:38:18.1186200Z * [new tag] viable/strict/1762284203 -> viable/strict/1762284203 2025-12-04T09:38:18.1187384Z * [new tag] viable/strict/1762289446 -> viable/strict/1762289446 2025-12-04T09:38:18.1188538Z * [new tag] viable/strict/1762291515 -> viable/strict/1762291515 2025-12-04T09:38:18.1189668Z * [new tag] viable/strict/1762295100 -> viable/strict/1762295100 2025-12-04T09:38:18.1190542Z * [new tag] viable/strict/1762296590 -> viable/strict/1762296590 2025-12-04T09:38:18.1191603Z * [new tag] viable/strict/1762300179 -> viable/strict/1762300179 2025-12-04T09:38:18.1192442Z * [new tag] viable/strict/1762303207 -> viable/strict/1762303207 2025-12-04T09:38:18.1193679Z * [new tag] viable/strict/1762386584 -> viable/strict/1762386584 2025-12-04T09:38:18.1194783Z * [new tag] viable/strict/1762391537 -> viable/strict/1762391537 2025-12-04T09:38:18.1195853Z * [new tag] viable/strict/1762394119 -> viable/strict/1762394119 2025-12-04T09:38:18.1197441Z * [new tag] viable/strict/1762397437 -> viable/strict/1762397437 2025-12-04T09:38:18.1198571Z * [new tag] viable/strict/1762400256 -> viable/strict/1762400256 2025-12-04T09:38:18.1199667Z * [new tag] viable/strict/1762401469 -> viable/strict/1762401469 2025-12-04T09:38:18.1200901Z * [new tag] viable/strict/1762408195 -> viable/strict/1762408195 2025-12-04T09:38:18.1202055Z * [new tag] viable/strict/1762410411 -> viable/strict/1762410411 2025-12-04T09:38:18.1203156Z * [new tag] viable/strict/1762417613 -> viable/strict/1762417613 2025-12-04T09:38:18.1204354Z * [new tag] viable/strict/1762419198 -> viable/strict/1762419198 2025-12-04T09:38:18.1208683Z * [new tag] viable/strict/1762422656 -> viable/strict/1762422656 2025-12-04T09:38:18.1210794Z * [new tag] viable/strict/1762424746 -> viable/strict/1762424746 2025-12-04T09:38:18.1212152Z * [new tag] viable/strict/1762446386 -> viable/strict/1762446386 2025-12-04T09:38:18.1213310Z * [new tag] viable/strict/1762449912 -> viable/strict/1762449912 2025-12-04T09:38:18.1214466Z * [new tag] viable/strict/1762457031 -> viable/strict/1762457031 2025-12-04T09:38:18.1215647Z * [new tag] viable/strict/1762462441 -> viable/strict/1762462441 2025-12-04T09:38:18.1216815Z * [new tag] viable/strict/1762467909 -> viable/strict/1762467909 2025-12-04T09:38:18.1217966Z * [new tag] viable/strict/1762471493 -> viable/strict/1762471493 2025-12-04T09:38:18.1219092Z * [new tag] viable/strict/1762475990 -> viable/strict/1762475990 2025-12-04T09:38:18.1220349Z * [new tag] viable/strict/1762477933 -> viable/strict/1762477933 2025-12-04T09:38:18.1221492Z * [new tag] viable/strict/1762491053 -> viable/strict/1762491053 2025-12-04T09:38:18.1222788Z * [new tag] viable/strict/1762493118 -> viable/strict/1762493118 2025-12-04T09:38:18.1223628Z * [new tag] viable/strict/1762498442 -> viable/strict/1762498442 2025-12-04T09:38:18.1224878Z * [new tag] viable/strict/1762501778 -> viable/strict/1762501778 2025-12-04T09:38:18.1226004Z * [new tag] viable/strict/1762504001 -> viable/strict/1762504001 2025-12-04T09:38:18.1227342Z * [new tag] viable/strict/1762505583 -> viable/strict/1762505583 2025-12-04T09:38:18.1228569Z * [new tag] viable/strict/1762507523 -> viable/strict/1762507523 2025-12-04T09:38:18.1229760Z * [new tag] viable/strict/1762511140 -> viable/strict/1762511140 2025-12-04T09:38:18.1231009Z * [new tag] viable/strict/1762512632 -> viable/strict/1762512632 2025-12-04T09:38:18.1232210Z * [new tag] viable/strict/1762520467 -> viable/strict/1762520467 2025-12-04T09:38:18.1233347Z * [new tag] viable/strict/1762522016 -> viable/strict/1762522016 2025-12-04T09:38:18.1234420Z * [new tag] viable/strict/1762530591 -> viable/strict/1762530591 2025-12-04T09:38:18.1235535Z * [new tag] viable/strict/1762543405 -> viable/strict/1762543405 2025-12-04T09:38:18.1236447Z * [new tag] viable/strict/1762544998 -> viable/strict/1762544998 2025-12-04T09:38:18.1237733Z * [new tag] viable/strict/1762552182 -> viable/strict/1762552182 2025-12-04T09:38:18.1238875Z * [new tag] viable/strict/1762554297 -> viable/strict/1762554297 2025-12-04T09:38:18.1239722Z * [new tag] viable/strict/1762559381 -> viable/strict/1762559381 2025-12-04T09:38:18.1240996Z * [new tag] viable/strict/1762562222 -> viable/strict/1762562222 2025-12-04T09:38:18.1242144Z * [new tag] viable/strict/1762564319 -> viable/strict/1762564319 2025-12-04T09:38:18.1243006Z * [new tag] viable/strict/1762566904 -> viable/strict/1762566904 2025-12-04T09:38:18.1244306Z * [new tag] viable/strict/1762569781 -> viable/strict/1762569781 2025-12-04T09:38:18.1245413Z * [new tag] viable/strict/1762575940 -> viable/strict/1762575940 2025-12-04T09:38:18.1246573Z * [new tag] viable/strict/1762580974 -> viable/strict/1762580974 2025-12-04T09:38:18.1247743Z * [new tag] viable/strict/1762583185 -> viable/strict/1762583185 2025-12-04T09:38:18.1248854Z * [new tag] viable/strict/1762586647 -> viable/strict/1762586647 2025-12-04T09:38:18.1249952Z * [new tag] viable/strict/1762588183 -> viable/strict/1762588183 2025-12-04T09:38:18.1251146Z * [new tag] viable/strict/1762593886 -> viable/strict/1762593886 2025-12-04T09:38:18.1252442Z * [new tag] viable/strict/1762650743 -> viable/strict/1762650743 2025-12-04T09:38:18.1253627Z * [new tag] viable/strict/1762653328 -> viable/strict/1762653328 2025-12-04T09:38:18.1254762Z * [new tag] viable/strict/1762659342 -> viable/strict/1762659342 2025-12-04T09:38:18.1255890Z * [new tag] viable/strict/1762662360 -> viable/strict/1762662360 2025-12-04T09:38:18.1257009Z * [new tag] viable/strict/1762667377 -> viable/strict/1762667377 2025-12-04T09:38:18.1258155Z * [new tag] viable/strict/1762671090 -> viable/strict/1762671090 2025-12-04T09:38:18.1259298Z * [new tag] viable/strict/1762680284 -> viable/strict/1762680284 2025-12-04T09:38:18.1260480Z * [new tag] viable/strict/1762683900 -> viable/strict/1762683900 2025-12-04T09:38:18.1261610Z * [new tag] viable/strict/1762705541 -> viable/strict/1762705541 2025-12-04T09:38:18.1262749Z * [new tag] viable/strict/1762709004 -> viable/strict/1762709004 2025-12-04T09:38:18.1263948Z * [new tag] viable/strict/1762746004 -> viable/strict/1762746004 2025-12-04T09:38:18.1265085Z * [new tag] viable/strict/1762748799 -> viable/strict/1762748799 2025-12-04T09:38:18.1266252Z * [new tag] viable/strict/1762759504 -> viable/strict/1762759504 2025-12-04T09:38:18.1267482Z * [new tag] viable/strict/1762760973 -> viable/strict/1762760973 2025-12-04T09:38:18.1268597Z * [new tag] viable/strict/1762775374 -> viable/strict/1762775374 2025-12-04T09:38:18.1269732Z * [new tag] viable/strict/1762777661 -> viable/strict/1762777661 2025-12-04T09:38:18.1270850Z * [new tag] viable/strict/1762779774 -> viable/strict/1762779774 2025-12-04T09:38:18.1272167Z * [new tag] viable/strict/1762781259 -> viable/strict/1762781259 2025-12-04T09:38:18.1273415Z * [new tag] viable/strict/1762793628 -> viable/strict/1762793628 2025-12-04T09:38:18.1274878Z * [new tag] viable/strict/1762800711 -> viable/strict/1762800711 2025-12-04T09:38:18.1275990Z * [new tag] viable/strict/1762809894 -> viable/strict/1762809894 2025-12-04T09:38:18.1277102Z * [new tag] viable/strict/1762811384 -> viable/strict/1762811384 2025-12-04T09:38:18.1278305Z * [new tag] viable/strict/1762813841 -> viable/strict/1762813841 2025-12-04T09:38:18.1279496Z * [new tag] viable/strict/1762815047 -> viable/strict/1762815047 2025-12-04T09:38:18.1280776Z * [new tag] viable/strict/1762817094 -> viable/strict/1762817094 2025-12-04T09:38:18.1281899Z * [new tag] viable/strict/1762818582 -> viable/strict/1762818582 2025-12-04T09:38:18.1283061Z * [new tag] viable/strict/1762821623 -> viable/strict/1762821623 2025-12-04T09:38:18.1283916Z * [new tag] viable/strict/1762823531 -> viable/strict/1762823531 2025-12-04T09:38:18.1286050Z * [new tag] viable/strict/1762849583 -> viable/strict/1762849583 2025-12-04T09:38:18.1287207Z * [new tag] viable/strict/1762851200 -> viable/strict/1762851200 2025-12-04T09:38:18.1288327Z * [new tag] viable/strict/1762854603 -> viable/strict/1762854603 2025-12-04T09:38:18.1289491Z * [new tag] viable/strict/1762858276 -> viable/strict/1762858276 2025-12-04T09:38:18.1290651Z * [new tag] viable/strict/1762860891 -> viable/strict/1762860891 2025-12-04T09:38:18.1292704Z * [new tag] viable/strict/1762866174 -> viable/strict/1762866174 2025-12-04T09:38:18.1293768Z * [new tag] viable/strict/1762867653 -> viable/strict/1762867653 2025-12-04T09:38:18.1294899Z * [new tag] viable/strict/1762872669 -> viable/strict/1762872669 2025-12-04T09:38:18.1295743Z * [new tag] viable/strict/1762878380 -> viable/strict/1762878380 2025-12-04T09:38:18.1297026Z * [new tag] viable/strict/1762889003 -> viable/strict/1762889003 2025-12-04T09:38:18.1298167Z * [new tag] viable/strict/1762890589 -> viable/strict/1762890589 2025-12-04T09:38:18.1299304Z * [new tag] viable/strict/1762892743 -> viable/strict/1762892743 2025-12-04T09:38:18.1300455Z * [new tag] viable/strict/1762894271 -> viable/strict/1762894271 2025-12-04T09:38:18.1301798Z * [new tag] viable/strict/1762896287 -> viable/strict/1762896287 2025-12-04T09:38:18.1303003Z * [new tag] viable/strict/1762915871 -> viable/strict/1762915871 2025-12-04T09:38:18.1304205Z * [new tag] viable/strict/1762918569 -> viable/strict/1762918569 2025-12-04T09:38:18.1305296Z * [new tag] viable/strict/1762919776 -> viable/strict/1762919776 2025-12-04T09:38:18.1306471Z * [new tag] viable/strict/1762923072 -> viable/strict/1762923072 2025-12-04T09:38:18.1307987Z * [new tag] viable/strict/1762928826 -> viable/strict/1762928826 2025-12-04T09:38:18.1308827Z * [new tag] viable/strict/1762930451 -> viable/strict/1762930451 2025-12-04T09:38:18.1309943Z * [new tag] viable/strict/1762933780 -> viable/strict/1762933780 2025-12-04T09:38:18.1311119Z * [new tag] viable/strict/1762937638 -> viable/strict/1762937638 2025-12-04T09:38:18.1312602Z * [new tag] viable/strict/1762939545 -> viable/strict/1762939545 2025-12-04T09:38:18.1313757Z * [new tag] viable/strict/1762962692 -> viable/strict/1762962692 2025-12-04T09:38:18.1314874Z * [new tag] viable/strict/1762979143 -> viable/strict/1762979143 2025-12-04T09:38:18.1316033Z * [new tag] viable/strict/1762984188 -> viable/strict/1762984188 2025-12-04T09:38:18.1317110Z * [new tag] viable/strict/1762986306 -> viable/strict/1762986306 2025-12-04T09:38:18.1318339Z * [new tag] viable/strict/1762989903 -> viable/strict/1762989903 2025-12-04T09:38:18.1319382Z * [new tag] viable/strict/1762991377 -> viable/strict/1762991377 2025-12-04T09:38:18.1320498Z * [new tag] viable/strict/1762998921 -> viable/strict/1762998921 2025-12-04T09:38:18.1321733Z * [new tag] viable/strict/1763002287 -> viable/strict/1763002287 2025-12-04T09:38:18.1322915Z * [new tag] viable/strict/1763016840 -> viable/strict/1763016840 2025-12-04T09:38:18.1324061Z * [new tag] viable/strict/1763020180 -> viable/strict/1763020180 2025-12-04T09:38:18.1325238Z * [new tag] viable/strict/1763027421 -> viable/strict/1763027421 2025-12-04T09:38:18.1326418Z * [new tag] viable/strict/1763031120 -> viable/strict/1763031120 2025-12-04T09:38:18.1327552Z * [new tag] viable/strict/1763036861 -> viable/strict/1763036861 2025-12-04T09:38:18.1328790Z * [new tag] viable/strict/1763038993 -> viable/strict/1763038993 2025-12-04T09:38:18.1330000Z * [new tag] viable/strict/1763054703 -> viable/strict/1763054703 2025-12-04T09:38:18.1331067Z * [new tag] viable/strict/1763067061 -> viable/strict/1763067061 2025-12-04T09:38:18.1332269Z * [new tag] viable/strict/1763070847 -> viable/strict/1763070847 2025-12-04T09:38:18.1333414Z * [new tag] viable/strict/1763072706 -> viable/strict/1763072706 2025-12-04T09:38:18.1334675Z * [new tag] viable/strict/1763076302 -> viable/strict/1763076302 2025-12-04T09:38:18.1335831Z * [new tag] viable/strict/1763080816 -> viable/strict/1763080816 2025-12-04T09:38:18.1336930Z * [new tag] viable/strict/1763082732 -> viable/strict/1763082732 2025-12-04T09:38:18.1338040Z * [new tag] viable/strict/1763085329 -> viable/strict/1763085329 2025-12-04T09:38:18.1339218Z * [new tag] viable/strict/1763088623 -> viable/strict/1763088623 2025-12-04T09:38:18.1340446Z * [new tag] viable/strict/1763091402 -> viable/strict/1763091402 2025-12-04T09:38:18.1341594Z * [new tag] viable/strict/1763092602 -> viable/strict/1763092602 2025-12-04T09:38:18.1342750Z * [new tag] viable/strict/1763094355 -> viable/strict/1763094355 2025-12-04T09:38:18.1343887Z * [new tag] viable/strict/1763099390 -> viable/strict/1763099390 2025-12-04T09:38:18.1345004Z * [new tag] viable/strict/1763101608 -> viable/strict/1763101608 2025-12-04T09:38:18.1346169Z * [new tag] viable/strict/1763105102 -> viable/strict/1763105102 2025-12-04T09:38:18.1347586Z * [new tag] viable/strict/1763112347 -> viable/strict/1763112347 2025-12-04T09:38:18.1348596Z * [new tag] viable/strict/1763119471 -> viable/strict/1763119471 2025-12-04T09:38:18.1349662Z * [new tag] viable/strict/1763126835 -> viable/strict/1763126835 2025-12-04T09:38:18.1350638Z * [new tag] viable/strict/1763149779 -> viable/strict/1763149779 2025-12-04T09:38:18.1351787Z * [new tag] viable/strict/1763164178 -> viable/strict/1763164178 2025-12-04T09:38:18.1352897Z * [new tag] viable/strict/1763167104 -> viable/strict/1763167104 2025-12-04T09:38:18.1354002Z * [new tag] viable/strict/1763169132 -> viable/strict/1763169132 2025-12-04T09:38:18.1355137Z * [new tag] viable/strict/1763171708 -> viable/strict/1763171708 2025-12-04T09:38:18.1356303Z * [new tag] viable/strict/1763174759 -> viable/strict/1763174759 2025-12-04T09:38:18.1357483Z * [new tag] viable/strict/1763180744 -> viable/strict/1763180744 2025-12-04T09:38:18.1358586Z * [new tag] viable/strict/1763182227 -> viable/strict/1763182227 2025-12-04T09:38:18.1359724Z * [new tag] viable/strict/1763184309 -> viable/strict/1763184309 2025-12-04T09:38:18.1362149Z * [new tag] viable/strict/1763187991 -> viable/strict/1763187991 2025-12-04T09:38:18.1363223Z * [new tag] viable/strict/1763191445 -> viable/strict/1763191445 2025-12-04T09:38:18.1364428Z * [new tag] viable/strict/1763195152 -> viable/strict/1763195152 2025-12-04T09:38:18.1365413Z * [new tag] viable/strict/1763205769 -> viable/strict/1763205769 2025-12-04T09:38:18.1366586Z * [new tag] viable/strict/1763246990 -> viable/strict/1763246990 2025-12-04T09:38:18.1367843Z * [new tag] viable/strict/1763261578 -> viable/strict/1763261578 2025-12-04T09:38:18.1368878Z * [new tag] viable/strict/1763286573 -> viable/strict/1763286573 2025-12-04T09:38:18.1369848Z * [new tag] viable/strict/1763292167 -> viable/strict/1763292167 2025-12-04T09:38:18.1371139Z * [new tag] viable/strict/1763333386 -> viable/strict/1763333386 2025-12-04T09:38:18.1372301Z * [new tag] viable/strict/1763340082 -> viable/strict/1763340082 2025-12-04T09:38:18.1374458Z * [new tag] viable/strict/1763364324 -> viable/strict/1763364324 2025-12-04T09:38:18.1375466Z * [new tag] viable/strict/1763371569 -> viable/strict/1763371569 2025-12-04T09:38:18.1376614Z * [new tag] viable/strict/1763373067 -> viable/strict/1763373067 2025-12-04T09:38:18.1377718Z * [new tag] viable/strict/1763375157 -> viable/strict/1763375157 2025-12-04T09:38:18.1378874Z * [new tag] viable/strict/1763382462 -> viable/strict/1763382462 2025-12-04T09:38:18.1380232Z * [new tag] viable/strict/1763394661 -> viable/strict/1763394661 2025-12-04T09:38:18.1381606Z * [new tag] viable/strict/1763396797 -> viable/strict/1763396797 2025-12-04T09:38:18.1382690Z * [new tag] viable/strict/1763398542 -> viable/strict/1763398542 2025-12-04T09:38:18.1383841Z * [new tag] viable/strict/1763401807 -> viable/strict/1763401807 2025-12-04T09:38:18.1384802Z * [new tag] viable/strict/1763414698 -> viable/strict/1763414698 2025-12-04T09:38:18.1386063Z * [new tag] viable/strict/1763419807 -> viable/strict/1763419807 2025-12-04T09:38:18.1387186Z * [new tag] viable/strict/1763426369 -> viable/strict/1763426369 2025-12-04T09:38:18.1388366Z * [new tag] viable/strict/1763428331 -> viable/strict/1763428331 2025-12-04T09:38:18.1389743Z * [new tag] viable/strict/1763430922 -> viable/strict/1763430922 2025-12-04T09:38:18.1390659Z * [new tag] viable/strict/1763434184 -> viable/strict/1763434184 2025-12-04T09:38:18.1391739Z * [new tag] viable/strict/1763439973 -> viable/strict/1763439973 2025-12-04T09:38:18.1393087Z * [new tag] viable/strict/1763444995 -> viable/strict/1763444995 2025-12-04T09:38:18.1394127Z * [new tag] viable/strict/1763447206 -> viable/strict/1763447206 2025-12-04T09:38:18.1395311Z * [new tag] viable/strict/1763448826 -> viable/strict/1763448826 2025-12-04T09:38:18.1396494Z * [new tag] viable/strict/1763450717 -> viable/strict/1763450717 2025-12-04T09:38:18.1397636Z * [new tag] viable/strict/1763452183 -> viable/strict/1763452183 2025-12-04T09:38:18.1398874Z * [new tag] viable/strict/1763457945 -> viable/strict/1763457945 2025-12-04T09:38:18.1400009Z * [new tag] viable/strict/1763459439 -> viable/strict/1763459439 2025-12-04T09:38:18.1400995Z * [new tag] viable/strict/1763461556 -> viable/strict/1763461556 2025-12-04T09:38:18.1402136Z * [new tag] viable/strict/1763463103 -> viable/strict/1763463103 2025-12-04T09:38:18.1403366Z * [new tag] viable/strict/1763465100 -> viable/strict/1763465100 2025-12-04T09:38:18.1404348Z * [new tag] viable/strict/1763468866 -> viable/strict/1763468866 2025-12-04T09:38:18.1405590Z * [new tag] viable/strict/1763493823 -> viable/strict/1763493823 2025-12-04T09:38:18.1406567Z * [new tag] viable/strict/1763496249 -> viable/strict/1763496249 2025-12-04T09:38:18.1407744Z * [new tag] viable/strict/1763502620 -> viable/strict/1763502620 2025-12-04T09:38:18.1408950Z * [new tag] viable/strict/1763504715 -> viable/strict/1763504715 2025-12-04T09:38:18.1410060Z * [new tag] viable/strict/1763506208 -> viable/strict/1763506208 2025-12-04T09:38:18.1411319Z * [new tag] viable/strict/1763520590 -> viable/strict/1763520590 2025-12-04T09:38:18.1412554Z * [new tag] viable/strict/1763523357 -> viable/strict/1763523357 2025-12-04T09:38:18.1413808Z * [new tag] viable/strict/1763529922 -> viable/strict/1763529922 2025-12-04T09:38:18.1414980Z * [new tag] viable/strict/1763531408 -> viable/strict/1763531408 2025-12-04T09:38:18.1416097Z * [new tag] viable/strict/1763533622 -> viable/strict/1763533622 2025-12-04T09:38:18.1417242Z * [new tag] viable/strict/1763538576 -> viable/strict/1763538576 2025-12-04T09:38:18.1418644Z * [new tag] viable/strict/1763545823 -> viable/strict/1763545823 2025-12-04T09:38:18.1419469Z * [new tag] viable/strict/1763547951 -> viable/strict/1763547951 2025-12-04T09:38:18.1420688Z * [new tag] viable/strict/1763551477 -> viable/strict/1763551477 2025-12-04T09:38:18.1421872Z * [new tag] viable/strict/1763552982 -> viable/strict/1763552982 2025-12-04T09:38:18.1423061Z * [new tag] viable/strict/1763594698 -> viable/strict/1763594698 2025-12-04T09:38:18.1424176Z * [new tag] viable/strict/1763596178 -> viable/strict/1763596178 2025-12-04T09:38:18.1425317Z * [new tag] viable/strict/1763599155 -> viable/strict/1763599155 2025-12-04T09:38:18.1426556Z * [new tag] viable/strict/1763603717 -> viable/strict/1763603717 2025-12-04T09:38:18.1427732Z * [new tag] viable/strict/1763606923 -> viable/strict/1763606923 2025-12-04T09:38:18.1428944Z * [new tag] viable/strict/1763609715 -> viable/strict/1763609715 2025-12-04T09:38:18.1430059Z * [new tag] viable/strict/1763612757 -> viable/strict/1763612757 2025-12-04T09:38:18.1431221Z * [new tag] viable/strict/1763616325 -> viable/strict/1763616325 2025-12-04T09:38:18.1432401Z * [new tag] viable/strict/1763623509 -> viable/strict/1763623509 2025-12-04T09:38:18.1433831Z * [new tag] viable/strict/1763624984 -> viable/strict/1763624984 2025-12-04T09:38:18.1434952Z * [new tag] viable/strict/1763628796 -> viable/strict/1763628796 2025-12-04T09:38:18.1436048Z * [new tag] viable/strict/1763634343 -> viable/strict/1763634343 2025-12-04T09:38:18.1437621Z * [new tag] viable/strict/1763635867 -> viable/strict/1763635867 2025-12-04T09:38:18.1438794Z * [new tag] viable/strict/1763639382 -> viable/strict/1763639382 2025-12-04T09:38:18.1439930Z * [new tag] viable/strict/1763646626 -> viable/strict/1763646626 2025-12-04T09:38:18.1441308Z * [new tag] viable/strict/1763655997 -> viable/strict/1763655997 2025-12-04T09:38:18.1442389Z * [new tag] viable/strict/1763659444 -> viable/strict/1763659444 2025-12-04T09:38:18.1443540Z * [new tag] viable/strict/1763660992 -> viable/strict/1763660992 2025-12-04T09:38:18.1444615Z * [new tag] viable/strict/1763663201 -> viable/strict/1763663201 2025-12-04T09:38:18.1445849Z * [new tag] viable/strict/1763670362 -> viable/strict/1763670362 2025-12-04T09:38:18.1446806Z * [new tag] viable/strict/1763675378 -> viable/strict/1763675378 2025-12-04T09:38:18.1447959Z * [new tag] viable/strict/1763693343 -> viable/strict/1763693343 2025-12-04T09:38:18.1449057Z * [new tag] viable/strict/1763696088 -> viable/strict/1763696088 2025-12-04T09:38:18.1450508Z * [new tag] viable/strict/1763697343 -> viable/strict/1763697343 2025-12-04T09:38:18.1451646Z * [new tag] viable/strict/1763699165 -> viable/strict/1763699165 2025-12-04T09:38:18.1452794Z * [new tag] viable/strict/1763700660 -> viable/strict/1763700660 2025-12-04T09:38:18.1453909Z * [new tag] viable/strict/1763704209 -> viable/strict/1763704209 2025-12-04T09:38:18.1455081Z * [new tag] viable/strict/1763706411 -> viable/strict/1763706411 2025-12-04T09:38:18.1456202Z * [new tag] viable/strict/1763708082 -> viable/strict/1763708082 2025-12-04T09:38:18.1457247Z * [new tag] viable/strict/1763711381 -> viable/strict/1763711381 2025-12-04T09:38:18.1458279Z * [new tag] viable/strict/1763713593 -> viable/strict/1763713593 2025-12-04T09:38:18.1459431Z * [new tag] viable/strict/1763715201 -> viable/strict/1763715201 2025-12-04T09:38:18.1460537Z * [new tag] viable/strict/1763733017 -> viable/strict/1763733017 2025-12-04T09:38:18.1461667Z * [new tag] viable/strict/1763735108 -> viable/strict/1763735108 2025-12-04T09:38:18.1462819Z * [new tag] viable/strict/1763749579 -> viable/strict/1763749579 2025-12-04T09:38:18.1464031Z * [new tag] viable/strict/1763751113 -> viable/strict/1763751113 2025-12-04T09:38:18.1465209Z * [new tag] viable/strict/1763753035 -> viable/strict/1763753035 2025-12-04T09:38:18.1466388Z * [new tag] viable/strict/1763754578 -> viable/strict/1763754578 2025-12-04T09:38:18.1467517Z * [new tag] viable/strict/1763756748 -> viable/strict/1763756748 2025-12-04T09:38:18.1468623Z * [new tag] viable/strict/1763758205 -> viable/strict/1763758205 2025-12-04T09:38:18.1469550Z * [new tag] viable/strict/1763764050 -> viable/strict/1763764050 2025-12-04T09:38:18.1470655Z * [new tag] viable/strict/1763771887 -> viable/strict/1763771887 2025-12-04T09:38:18.1472162Z * [new tag] viable/strict/1763773920 -> viable/strict/1763773920 2025-12-04T09:38:18.1473121Z * [new tag] viable/strict/1763776501 -> viable/strict/1763776501 2025-12-04T09:38:18.1474183Z * [new tag] viable/strict/1763779437 -> viable/strict/1763779437 2025-12-04T09:38:18.1475726Z * [new tag] viable/strict/1763781038 -> viable/strict/1763781038 2025-12-04T09:38:18.1476680Z * [new tag] viable/strict/1763782245 -> viable/strict/1763782245 2025-12-04T09:38:18.1477769Z * [new tag] viable/strict/1763785568 -> viable/strict/1763785568 2025-12-04T09:38:18.1478934Z * [new tag] viable/strict/1763787006 -> viable/strict/1763787006 2025-12-04T09:38:18.1480145Z * [new tag] viable/strict/1763789103 -> viable/strict/1763789103 2025-12-04T09:38:18.1481235Z * [new tag] viable/strict/1763790578 -> viable/strict/1763790578 2025-12-04T09:38:18.1482371Z * [new tag] viable/strict/1763796275 -> viable/strict/1763796275 2025-12-04T09:38:18.1483904Z * [new tag] viable/strict/1763801465 -> viable/strict/1763801465 2025-12-04T09:38:18.1484874Z * [new tag] viable/strict/1763803522 -> viable/strict/1763803522 2025-12-04T09:38:18.1485951Z * [new tag] viable/strict/1763808581 -> viable/strict/1763808581 2025-12-04T09:38:18.1487080Z * [new tag] viable/strict/1763840977 -> viable/strict/1763840977 2025-12-04T09:38:18.1488169Z * [new tag] viable/strict/1763846659 -> viable/strict/1763846659 2025-12-04T09:38:18.1489339Z * [new tag] viable/strict/1763872065 -> viable/strict/1763872065 2025-12-04T09:38:18.1490621Z * [new tag] viable/strict/1763873648 -> viable/strict/1763873648 2025-12-04T09:38:18.1491882Z * [new tag] viable/strict/1763875506 -> viable/strict/1763875506 2025-12-04T09:38:18.1492855Z * [new tag] viable/strict/1763889904 -> viable/strict/1763889904 2025-12-04T09:38:18.1493971Z * [new tag] viable/strict/1763930999 -> viable/strict/1763930999 2025-12-04T09:38:18.1495133Z * [new tag] viable/strict/1763944964 -> viable/strict/1763944964 2025-12-04T09:38:18.1496100Z * [new tag] viable/strict/1763958474 -> viable/strict/1763958474 2025-12-04T09:38:18.1497197Z * [new tag] viable/strict/1763967263 -> viable/strict/1763967263 2025-12-04T09:38:18.1498367Z * [new tag] viable/strict/1763972803 -> viable/strict/1763972803 2025-12-04T09:38:18.1499483Z * [new tag] viable/strict/1763976376 -> viable/strict/1763976376 2025-12-04T09:38:18.1500713Z * [new tag] viable/strict/1763989404 -> viable/strict/1763989404 2025-12-04T09:38:18.1501819Z * [new tag] viable/strict/1763990887 -> viable/strict/1763990887 2025-12-04T09:38:18.1502921Z * [new tag] viable/strict/1764019919 -> viable/strict/1764019919 2025-12-04T09:38:18.1504133Z * [new tag] viable/strict/1764023134 -> viable/strict/1764023134 2025-12-04T09:38:18.1505298Z * [new tag] viable/strict/1764024593 -> viable/strict/1764024593 2025-12-04T09:38:18.1506458Z * [new tag] viable/strict/1764026706 -> viable/strict/1764026706 2025-12-04T09:38:18.1508041Z * [new tag] viable/strict/1764031139 -> viable/strict/1764031139 2025-12-04T09:38:18.1509081Z * [new tag] viable/strict/1764033131 -> viable/strict/1764033131 2025-12-04T09:38:18.1510007Z * [new tag] viable/strict/1764035725 -> viable/strict/1764035725 2025-12-04T09:38:18.1511521Z * [new tag] viable/strict/1764624265 -> viable/strict/1764624265 2025-12-04T09:38:18.1512369Z * [new tag] viable/strict/1764631514 -> viable/strict/1764631514 2025-12-04T09:38:18.1513347Z * [new tag] viable/strict/1764632987 -> viable/strict/1764632987 2025-12-04T09:38:18.1514245Z * [new tag] viable/strict/1764636063 -> viable/strict/1764636063 2025-12-04T09:38:18.1515199Z * [new tag] viable/strict/1764643975 -> viable/strict/1764643975 2025-12-04T09:38:18.1516319Z * [new tag] viable/strict/1764646859 -> viable/strict/1764646859 2025-12-04T09:38:18.1517396Z * [new tag] viable/strict/1764653120 -> viable/strict/1764653120 2025-12-04T09:38:18.1518244Z * [new tag] viable/strict/1764654632 -> viable/strict/1764654632 2025-12-04T09:38:18.1519195Z * [new tag] viable/strict/1764656821 -> viable/strict/1764656821 2025-12-04T09:38:18.1520157Z * [new tag] viable/strict/1764658557 -> viable/strict/1764658557 2025-12-04T09:38:18.1521116Z * [new tag] viable/strict/1764660333 -> viable/strict/1764660333 2025-12-04T09:38:18.1522032Z * [new tag] viable/strict/1764661812 -> viable/strict/1764661812 2025-12-04T09:38:18.1522983Z * [new tag] viable/strict/1764664023 -> viable/strict/1764664023 2025-12-04T09:38:18.1523965Z * [new tag] viable/strict/1764669150 -> viable/strict/1764669150 2025-12-04T09:38:18.1524934Z * [new tag] viable/strict/1764680709 -> viable/strict/1764680709 2025-12-04T09:38:18.1525877Z * [new tag] viable/strict/1764687619 -> viable/strict/1764687619 2025-12-04T09:38:18.1526827Z * [new tag] viable/strict/1764696355 -> viable/strict/1764696355 2025-12-04T09:38:18.1527800Z * [new tag] viable/strict/1764701767 -> viable/strict/1764701767 2025-12-04T09:38:18.1528740Z * [new tag] viable/strict/1764710768 -> viable/strict/1764710768 2025-12-04T09:38:18.1529643Z * [new tag] viable/strict/1764716202 -> viable/strict/1764716202 2025-12-04T09:38:18.1530587Z * [new tag] viable/strict/1764793566 -> viable/strict/1764793566 2025-12-04T09:38:18.1531674Z * [new tag] viable/strict/1764797093 -> viable/strict/1764797093 2025-12-04T09:38:18.1532657Z * [new tag] viable/strict/1764800729 -> viable/strict/1764800729 2025-12-04T09:38:18.1534083Z * [new tag] whc_flight_1 -> whc_flight_1 2025-12-04T09:38:18.1535083Z * [new tag] whc_flight_2 -> whc_flight_2 2025-12-04T09:38:18.1536556Z * [new tag] whc_flight_4 -> whc_flight_4 2025-12-04T09:38:18.2393268Z [command]/usr/bin/git rev-parse --verify --quiet ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32^{object} 2025-12-04T09:38:18.2422032Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:38:18.2426188Z ##[endgroup] 2025-12-04T09:38:18.2426677Z ##[group]Determining the checkout info 2025-12-04T09:38:18.2427254Z ##[endgroup] 2025-12-04T09:38:18.2431360Z [command]/usr/bin/git sparse-checkout disable 2025-12-04T09:38:18.2464600Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-12-04T09:38:18.2495011Z ##[group]Checking out the ref 2025-12-04T09:38:18.2498492Z [command]/usr/bin/git checkout --progress --force ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:38:19.2976640Z Updating files: 75% (15196/20121) 2025-12-04T09:38:19.3136106Z Updating files: 76% (15292/20121) 2025-12-04T09:38:19.3281250Z Updating files: 77% (15494/20121) 2025-12-04T09:38:19.3510646Z Updating files: 78% (15695/20121) 2025-12-04T09:38:19.3803779Z Updating files: 79% (15896/20121) 2025-12-04T09:38:19.4162738Z Updating files: 80% (16097/20121) 2025-12-04T09:38:19.4480205Z Updating files: 81% (16299/20121) 2025-12-04T09:38:19.4718596Z Updating files: 82% (16500/20121) 2025-12-04T09:38:19.4886012Z Updating files: 83% (16701/20121) 2025-12-04T09:38:19.5039988Z Updating files: 84% (16902/20121) 2025-12-04T09:38:19.5220306Z Updating files: 85% (17103/20121) 2025-12-04T09:38:19.5393088Z Updating files: 86% (17305/20121) 2025-12-04T09:38:19.5549750Z Updating files: 87% (17506/20121) 2025-12-04T09:38:19.5675252Z Updating files: 88% (17707/20121) 2025-12-04T09:38:19.5826600Z Updating files: 89% (17908/20121) 2025-12-04T09:38:19.6020090Z Updating files: 90% (18109/20121) 2025-12-04T09:38:19.6148354Z Updating files: 91% (18311/20121) 2025-12-04T09:38:19.6317974Z Updating files: 92% (18512/20121) 2025-12-04T09:38:19.6524428Z Updating files: 93% (18713/20121) 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You can look around, make experimental 2025-12-04T09:38:19.8119691Z changes and commit them, and you can discard any commits you make in this 2025-12-04T09:38:19.8120350Z state without impacting any branches by switching back to a branch. 2025-12-04T09:38:19.8120758Z 2025-12-04T09:38:19.8121001Z If you want to create a new branch to retain commits you create, you may 2025-12-04T09:38:19.8121595Z do so (now or later) by using -c with the switch command. Example: 2025-12-04T09:38:19.8121933Z 2025-12-04T09:38:19.8122074Z git switch -c 2025-12-04T09:38:19.8122515Z 2025-12-04T09:38:19.8122639Z Or undo this operation with: 2025-12-04T09:38:19.8122864Z 2025-12-04T09:38:19.8122967Z git switch - 2025-12-04T09:38:19.8123129Z 2025-12-04T09:38:19.8123403Z Turn off this advice by setting config variable advice.detachedHead to false 2025-12-04T09:38:19.8123860Z 2025-12-04T09:38:19.8124271Z HEAD is now at ffd9b0fb435 Resolve collective autotuning test failure on arm (#168919) 2025-12-04T09:38:19.8212323Z ##[endgroup] 2025-12-04T09:38:19.8212807Z ##[group]Setting up auth for fetching submodules 2025-12-04T09:38:19.8219880Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-12-04T09:38:19.8274947Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-12-04T09:38:19.8304184Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-12-04T09:38:19.8331874Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-12-04T09:38:19.8357823Z ##[endgroup] 2025-12-04T09:38:19.8358272Z ##[group]Fetching submodules 2025-12-04T09:38:19.8361436Z [command]/usr/bin/git submodule sync --recursive 2025-12-04T09:38:19.8704203Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-12-04T09:38:19.9043844Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-12-04T09:38:19.9045151Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-12-04T09:38:19.9048278Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-12-04T09:38:19.9051254Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-12-04T09:38:19.9054459Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-12-04T09:38:19.9058068Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-12-04T09:38:19.9061254Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-12-04T09:38:19.9064578Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-12-04T09:38:19.9068225Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-12-04T09:38:19.9073295Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-12-04T09:38:19.9076950Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-12-04T09:38:19.9080858Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-12-04T09:38:19.9084982Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-12-04T09:38:19.9089000Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-12-04T09:38:19.9093438Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-12-04T09:38:19.9098540Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-12-04T09:38:19.9104771Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-12-04T09:38:19.9109509Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-12-04T09:38:19.9114320Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:38:19.9118892Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-12-04T09:38:19.9123888Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-12-04T09:38:19.9128740Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-12-04T09:38:19.9134019Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-12-04T09:38:19.9139157Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-12-04T09:38:19.9144551Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-12-04T09:38:19.9149968Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-12-04T09:38:19.9155435Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-12-04T09:38:19.9160996Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-12-04T09:38:19.9168113Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-12-04T09:38:19.9174168Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-12-04T09:38:19.9180130Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-12-04T09:38:19.9186434Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-12-04T09:38:19.9193530Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-12-04T09:38:19.9202214Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-12-04T09:38:19.9209447Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-12-04T09:38:19.9215970Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-12-04T09:38:19.9222901Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-12-04T09:38:19.9258681Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-12-04T09:38:20.1982821Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-12-04T09:38:20.1984199Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-12-04T09:38:20.1985511Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-12-04T09:38:20.2016723Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-12-04T09:38:23.7735867Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-12-04T09:38:23.7737486Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-12-04T09:38:23.7739089Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-12-04T09:38:23.7740875Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-12-04T09:38:23.7742581Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-12-04T09:38:23.7744216Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-12-04T09:38:23.7746268Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-12-04T09:38:23.7747915Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-12-04T09:38:23.7749413Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-12-04T09:38:23.7751046Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-12-04T09:38:23.7752718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-12-04T09:38:23.7754452Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-12-04T09:38:23.7755962Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-12-04T09:38:23.7757540Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-12-04T09:38:23.7759225Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-12-04T09:38:23.7760895Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-12-04T09:38:23.7831015Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-12-04T09:38:24.2872718Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-12-04T09:38:24.3484650Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-12-04T09:38:24.6199549Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-12-04T09:38:24.6201448Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-12-04T09:38:24.7200488Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-12-04T09:38:27.9608002Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-12-04T09:38:27.9609757Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-12-04T09:38:27.9611504Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-12-04T09:38:27.9613112Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-12-04T09:38:28.0607575Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-12-04T09:38:49.0128793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-12-04T09:38:49.0130806Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-12-04T09:38:49.0132624Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-12-04T09:38:49.0134237Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-12-04T09:38:49.0135456Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-12-04T09:38:49.0316473Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-12-04T09:38:49.0465131Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-12-04T09:38:49.0578600Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-12-04T09:38:49.0868008Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-12-04T09:38:49.1832152Z Submodule path 'third_party/NVTX': checked out '3ebbc93ded7285963bff932c678fa367eb393ba6' 2025-12-04T09:38:49.2410904Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-12-04T09:38:50.0945488Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-12-04T09:38:50.3116224Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-12-04T09:38:50.3138804Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:38:50.3168807Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-12-04T09:38:55.5346061Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-12-04T09:38:55.5619281Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-12-04T09:38:55.9712808Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:38:56.0277193Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-12-04T09:38:56.1399412Z Submodule path 'third_party/cpuinfo': checked out 'f858c30bcb16f8effd5ff46996f0514539e17abc' 2025-12-04T09:38:56.1965518Z Submodule path 'third_party/cudnn_frontend': checked out '0b1577c8c83401237d601d0d0db5210506705396' 2025-12-04T09:38:56.9463900Z Submodule path 'third_party/cutlass': checked out 'f88806b1e31dfa579842638740216dd41fc6c588' 2025-12-04T09:38:57.1287399Z Submodule path 'third_party/fbgemm': checked out 'c0b988d39a9e47c794d699f29930ed4d7c7e13a4' 2025-12-04T09:38:57.1312761Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-12-04T09:38:57.1315973Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:38:57.1319034Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:38:57.1322241Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-12-04T09:38:57.1325609Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-12-04T09:38:57.1329112Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:38:57.1332312Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-12-04T09:38:57.1364995Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-12-04T09:38:58.5614562Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-12-04T09:38:58.5615717Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-12-04T09:38:58.5616779Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-12-04T09:38:58.6614884Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-12-04T09:39:02.2003705Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-12-04T09:39:02.3004208Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-12-04T09:39:05.4697953Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-12-04T09:39:05.8801958Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-12-04T09:39:05.9963332Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-12-04T09:39:06.7343006Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '98125ce499b0fdf7ffbe0e3052f5b8709f4840f8' 2025-12-04T09:39:06.7884800Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:39:06.8025009Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-12-04T09:39:06.9499920Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-12-04T09:39:07.0315565Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-12-04T09:39:07.0337868Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:39:07.0340412Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:39:07.0370802Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-12-04T09:39:11.8471081Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-12-04T09:39:12.1310535Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-12-04T09:39:12.7848598Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-12-04T09:39:12.9461061Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-12-04T09:39:12.9806701Z Submodule path 'third_party/fmt': checked out '407c905e45ad75fc29bf0f9bb7c5c2fd3475976f' 2025-12-04T09:39:13.0272123Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-12-04T09:39:13.0573843Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341' 2025-12-04T09:39:13.1108327Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-12-04T09:39:13.1262613Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-12-04T09:39:13.1280858Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-12-04T09:39:13.1310591Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-12-04T09:39:29.9782679Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-12-04T09:39:30.0020411Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-12-04T09:39:30.1005674Z Submodule path 'third_party/kineto': checked out '31f85df8fbd89c188f14ef10f1ec65379786b943' 2025-12-04T09:39:30.1026743Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:39:30.1029323Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:39:30.1032592Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:39:30.1066023Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-12-04T09:39:31.1855277Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-12-04T09:39:31.7897335Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-12-04T09:39:31.8951161Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1' 2025-12-04T09:39:31.8971480Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:39:31.8974440Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:39:31.8977553Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:39:31.8980832Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:39:31.8984136Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:39:31.8988787Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:39:31.8992126Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:39:31.8995565Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:39:31.8999508Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:39:31.9032102Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-12-04T09:39:34.0006648Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-12-04T09:39:34.0009444Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'... 2025-12-04T09:39:34.0012322Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-12-04T09:39:34.0014977Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-12-04T09:39:34.0017575Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-12-04T09:39:34.0020263Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-12-04T09:39:34.0023191Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-12-04T09:39:34.1008117Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-12-04T09:39:40.5276294Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-12-04T09:39:40.5491716Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-12-04T09:39:40.5922765Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-12-04T09:39:40.6081433Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-12-04T09:39:40.6099060Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 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'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:39:45.6226804Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:39:45.6230215Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:39:45.6261444Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-12-04T09:39:46.0676747Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-12-04T09:39:46.0678395Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-12-04T09:39:46.0679786Z Cloning into 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'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:40:03.1294432Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-12-04T09:40:03.1636255Z Entering 'android/libs/fbjni' 2025-12-04T09:40:03.1694802Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-12-04T09:40:03.1714949Z Entering 'third_party/FP16' 2025-12-04T09:40:03.1773767Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-12-04T09:40:03.1791980Z Entering 'third_party/FXdiv' 2025-12-04T09:40:03.1850598Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-12-04T09:40:03.1869080Z Entering 'third_party/NNPACK' 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2025-12-04T09:40:04.0848278Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:40:04.0896370Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:40:04.0941260Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:40:04.0988586Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:40:04.1034553Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:40:04.1080393Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:40:04.1128018Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:40:04.1173657Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:40:04.1218689Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:40:04.1266851Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:40:04.1319133Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:40:04.1364500Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:40:04.1412966Z Entering 'third_party/kleidiai' 2025-12-04T09:40:04.1462117Z Entering 'third_party/mimalloc' 2025-12-04T09:40:04.1512690Z Entering 'third_party/nlohmann' 2025-12-04T09:40:04.1561203Z Entering 'third_party/onnx' 2025-12-04T09:40:04.1627916Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:40:04.1678633Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:40:04.1729629Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:40:04.1776576Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:40:04.1823930Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:40:04.1869903Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:40:04.1918718Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:40:04.1963982Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:40:04.2009792Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:40:04.2054358Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:40:04.2103508Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:40:04.2151461Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:40:04.2222621Z Entering 'third_party/pocketfft' 2025-12-04T09:40:04.2271127Z Entering 'third_party/protobuf' 2025-12-04T09:40:04.2323287Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:40:04.2368197Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:40:04.2417652Z Entering 'third_party/psimd' 2025-12-04T09:40:04.2465152Z Entering 'third_party/pthreadpool' 2025-12-04T09:40:04.2512660Z Entering 'third_party/pybind11' 2025-12-04T09:40:04.2560443Z Entering 'third_party/python-peachpy' 2025-12-04T09:40:04.2609807Z Entering 'third_party/sleef' 2025-12-04T09:40:04.2659038Z Entering 'third_party/tensorpipe' 2025-12-04T09:40:04.2706699Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:40:04.2752242Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:40:04.2798263Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:40:04.2845480Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:40:04.2890588Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:40:04.2959531Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-12-04T09:40:04.3293546Z Entering 'android/libs/fbjni' 2025-12-04T09:40:04.3341532Z Entering 'third_party/FP16' 2025-12-04T09:40:04.3388740Z Entering 'third_party/FXdiv' 2025-12-04T09:40:04.3438628Z Entering 'third_party/NNPACK' 2025-12-04T09:40:04.3486463Z Entering 'third_party/NVTX' 2025-12-04T09:40:04.3535123Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:40:04.3582869Z Entering 'third_party/XNNPACK' 2025-12-04T09:40:04.3649933Z Entering 'third_party/aiter' 2025-12-04T09:40:04.3698328Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:40:04.3756513Z Entering 'third_party/benchmark' 2025-12-04T09:40:04.3804335Z Entering 'third_party/composable_kernel' 2025-12-04T09:40:04.3863487Z Entering 'third_party/cpp-httplib' 2025-12-04T09:40:04.3912253Z Entering 'third_party/cpuinfo' 2025-12-04T09:40:04.3959662Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:40:04.4007545Z Entering 'third_party/cutlass' 2025-12-04T09:40:04.4066507Z Entering 'third_party/fbgemm' 2025-12-04T09:40:04.4118304Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:40:04.4165672Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:40:04.4222739Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:40:04.4270897Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:40:04.4327459Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:40:04.4374171Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:40:04.4420009Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:40:04.4470263Z Entering 'third_party/flash-attention' 2025-12-04T09:40:04.4519938Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:40:04.4575308Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:40:04.4632903Z Entering 'third_party/flatbuffers' 2025-12-04T09:40:04.4684350Z Entering 'third_party/fmt' 2025-12-04T09:40:04.4733184Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:40:04.4783299Z Entering 'third_party/gloo' 2025-12-04T09:40:04.4832722Z Entering 'third_party/googletest' 2025-12-04T09:40:04.4880604Z Entering 'third_party/ideep' 2025-12-04T09:40:04.4926582Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:40:04.4980652Z Entering 'third_party/ittapi' 2025-12-04T09:40:04.5027704Z Entering 'third_party/kineto' 2025-12-04T09:40:04.5077278Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:40:04.5124052Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:40:04.5170704Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:40:04.5217899Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:40:04.5264159Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:40:04.5310897Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:40:04.5359798Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:40:04.5409296Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:40:04.5455990Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:40:04.5504247Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:40:04.5555594Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:40:04.5601430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:40:04.5649945Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:40:04.5700705Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:40:04.5750636Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:40:04.5797846Z Entering 'third_party/kleidiai' 2025-12-04T09:40:04.5849306Z Entering 'third_party/mimalloc' 2025-12-04T09:40:04.5898062Z Entering 'third_party/nlohmann' 2025-12-04T09:40:04.5947168Z Entering 'third_party/onnx' 2025-12-04T09:40:04.6013625Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:40:04.6061868Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:40:04.6113544Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:40:04.6159555Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:40:04.6205806Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:40:04.6250148Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:40:04.6298230Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:40:04.6344237Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:40:04.6392133Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:40:04.6455321Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:40:04.6488452Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:40:04.6543644Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:40:04.6614018Z Entering 'third_party/pocketfft' 2025-12-04T09:40:04.6661797Z Entering 'third_party/protobuf' 2025-12-04T09:40:04.6715052Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:40:04.6764527Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:40:04.6814055Z Entering 'third_party/psimd' 2025-12-04T09:40:04.6861099Z Entering 'third_party/pthreadpool' 2025-12-04T09:40:04.6908658Z Entering 'third_party/pybind11' 2025-12-04T09:40:04.6956652Z Entering 'third_party/python-peachpy' 2025-12-04T09:40:04.7004774Z Entering 'third_party/sleef' 2025-12-04T09:40:04.7052231Z Entering 'third_party/tensorpipe' 2025-12-04T09:40:04.7099329Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:40:04.7145994Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:40:04.7192265Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:40:04.7242259Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:40:04.7289260Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:40:04.7349782Z ##[endgroup] 2025-12-04T09:40:04.7389003Z [command]/usr/bin/git log -1 --format=%H 2025-12-04T09:40:04.7413131Z ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:40:04.7516437Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-12-04T09:40:04.7516860Z cd "${GITHUB_WORKSPACE}" 2025-12-04T09:40:04.7517374Z # Clean stale submodule dirs 2025-12-04T09:40:04.7517755Z if [ -z "${NO_SUDO}" ]; then 2025-12-04T09:40:04.7518216Z  sudo git submodule foreach --recursive git clean -ffdx 2025-12-04T09:40:04.7518666Z else 2025-12-04T09:40:04.7519024Z  git submodule foreach --recursive git clean -ffdx 2025-12-04T09:40:04.7519476Z fi 2025-12-04T09:40:04.7528893Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:04.7529348Z env: 2025-12-04T09:40:04.7529606Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:04.7529901Z NO_SUDO: true 2025-12-04T09:40:04.7530164Z ##[endgroup] 2025-12-04T09:40:04.7896678Z Entering 'android/libs/fbjni' 2025-12-04T09:40:04.7935643Z Entering 'third_party/FP16' 2025-12-04T09:40:04.7970249Z Entering 'third_party/FXdiv' 2025-12-04T09:40:04.8006483Z Entering 'third_party/NNPACK' 2025-12-04T09:40:04.8047885Z Entering 'third_party/NVTX' 2025-12-04T09:40:04.8092849Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T09:40:04.8128850Z Entering 'third_party/XNNPACK' 2025-12-04T09:40:04.8267347Z Entering 'third_party/aiter' 2025-12-04T09:40:04.8317712Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T09:40:04.8439513Z Entering 'third_party/benchmark' 2025-12-04T09:40:04.8477851Z Entering 'third_party/composable_kernel' 2025-12-04T09:40:04.8610554Z Entering 'third_party/cpp-httplib' 2025-12-04T09:40:04.8650877Z Entering 'third_party/cpuinfo' 2025-12-04T09:40:04.8692055Z Entering 'third_party/cudnn_frontend' 2025-12-04T09:40:04.8732720Z Entering 'third_party/cutlass' 2025-12-04T09:40:04.8857382Z Entering 'third_party/fbgemm' 2025-12-04T09:40:04.8932180Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T09:40:04.8971843Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T09:40:04.9112343Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T09:40:04.9155139Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T09:40:04.9275012Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T09:40:04.9316960Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T09:40:04.9350864Z Entering 'third_party/fbgemm/external/json' 2025-12-04T09:40:04.9403245Z Entering 'third_party/flash-attention' 2025-12-04T09:40:04.9450282Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T09:40:04.9564271Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T09:40:04.9667316Z Entering 'third_party/flatbuffers' 2025-12-04T09:40:04.9747879Z Entering 'third_party/fmt' 2025-12-04T09:40:04.9785237Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T09:40:04.9825654Z Entering 'third_party/gloo' 2025-12-04T09:40:04.9865548Z Entering 'third_party/googletest' 2025-12-04T09:40:04.9905467Z Entering 'third_party/ideep' 2025-12-04T09:40:04.9939017Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T09:40:05.0034517Z Entering 'third_party/ittapi' 2025-12-04T09:40:05.0075614Z Entering 'third_party/kineto' 2025-12-04T09:40:05.0116783Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T09:40:05.0157238Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T09:40:05.0208372Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T09:40:05.0242173Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T09:40:05.0278592Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T09:40:05.0312023Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T09:40:05.0347137Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T09:40:05.0382144Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T09:40:05.0419251Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T09:40:05.0464356Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T09:40:05.0498243Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T09:40:05.0533416Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:40:05.0586182Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:40:05.0630463Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T09:40:05.0665112Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T09:40:05.0703266Z Entering 'third_party/kleidiai' 2025-12-04T09:40:05.0749191Z Entering 'third_party/mimalloc' 2025-12-04T09:40:05.0787277Z Entering 'third_party/nlohmann' 2025-12-04T09:40:05.0837602Z Entering 'third_party/onnx' 2025-12-04T09:40:05.1203389Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T09:40:05.1242954Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T09:40:05.1304408Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T09:40:05.1339066Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T09:40:05.1374882Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T09:40:05.1408517Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T09:40:05.1453802Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T09:40:05.1492570Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T09:40:05.1526461Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T09:40:05.1561774Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T09:40:05.1615373Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T09:40:05.1654309Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T09:40:05.1947080Z Entering 'third_party/pocketfft' 2025-12-04T09:40:05.1983084Z Entering 'third_party/protobuf' 2025-12-04T09:40:05.2075385Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T09:40:05.2109587Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T09:40:05.2149606Z Entering 'third_party/psimd' 2025-12-04T09:40:05.2185131Z Entering 'third_party/pthreadpool' 2025-12-04T09:40:05.2220190Z Entering 'third_party/pybind11' 2025-12-04T09:40:05.2260810Z Entering 'third_party/python-peachpy' 2025-12-04T09:40:05.2298148Z Entering 'third_party/sleef' 2025-12-04T09:40:05.2336799Z Entering 'third_party/tensorpipe' 2025-12-04T09:40:05.2375261Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T09:40:05.2412016Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T09:40:05.2445521Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T09:40:05.2484511Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T09:40:05.2523434Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T09:40:05.2700065Z Prepare all required actions 2025-12-04T09:40:05.2700706Z Getting action download info 2025-12-04T09:40:05.4652963Z ##[group]Run ./.github/actions/setup-linux 2025-12-04T09:40:05.4653331Z env: 2025-12-04T09:40:05.4653583Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:05.4653886Z ##[endgroup] 2025-12-04T09:40:05.4697059Z ##[group]Run set -euo pipefail 2025-12-04T09:40:05.4697490Z set -euo pipefail 2025-12-04T09:40:05.4697836Z function get_ec2_metadata() { 2025-12-04T09:40:05.4698279Z  # Pulled from instance metadata endpoint for EC2 2025-12-04T09:40:05.4699015Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-12-04T09:40:05.4699683Z  category=$1 2025-12-04T09:40:05.4700103Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-12-04T09:40:05.4700603Z  runner_name_str=i-06b3a5aa3e9d3b7c1 2025-12-04T09:40:05.4701054Z  if [[ -f /.inarc ]]; then 2025-12-04T09:40:05.4701446Z  echo "ARC Runner, no info on ec2 metadata" 2025-12-04T09:40:05.4701900Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-12-04T09:40:05.4702447Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-12-04T09:40:05.4702956Z  else 2025-12-04T09:40:05.4703962Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-12-04T09:40:05.4705300Z  fi 2025-12-04T09:40:05.4705554Z } 2025-12-04T09:40:05.4705860Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-12-04T09:40:05.4706350Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-12-04T09:40:05.4706915Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-12-04T09:40:05.4707406Z echo "system info $(uname -a)" 2025-12-04T09:40:05.4714453Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:05.4714899Z env: 2025-12-04T09:40:05.4715148Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:05.4715435Z ##[endgroup] 2025-12-04T09:40:05.4881680Z ami-id: ami-08982f1c5bf93d976 2025-12-04T09:40:05.4998796Z instance-id: i-06b3a5aa3e9d3b7c1 2025-12-04T09:40:05.5111888Z instance-type: g4dn.4xlarge 2025-12-04T09:40:05.5124364Z system info Linux ip-10-0-65-196.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep 9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-12-04T09:40:05.5146946Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:40:05.5147501Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi 2025-12-04T09:40:05.5155268Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:05.5155727Z env: 2025-12-04T09:40:05.5155973Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:05.5156278Z ##[endgroup] 2025-12-04T09:40:06.8820851Z Thu Dec 4 09:40:06 2025 2025-12-04T09:40:06.8821390Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:40:06.8822018Z | NVIDIA-SMI 580.82.07 Driver Version: 580.82.07 CUDA Version: 13.0 | 2025-12-04T09:40:06.8822649Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:40:06.8823293Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:40:06.8823962Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:40:06.8824492Z | | | MIG M. | 2025-12-04T09:40:06.8824907Z |=========================================+========================+======================| 2025-12-04T09:40:06.8924717Z | 0 Tesla T4 Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:40:06.8925608Z | N/A 32C P0 27W / 70W | 0MiB / 15360MiB | 9% Default | 2025-12-04T09:40:06.8926079Z | | | N/A | 2025-12-04T09:40:06.8926581Z +-----------------------------------------+------------------------+----------------------+ 2025-12-04T09:40:06.8926964Z 2025-12-04T09:40:06.8927187Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:40:06.8927731Z | Processes: | 2025-12-04T09:40:06.8928272Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:40:06.8928798Z | ID ID Usage | 2025-12-04T09:40:06.8929225Z |=========================================================================================| 2025-12-04T09:40:06.8929758Z | No running processes found | 2025-12-04T09:40:06.8930343Z +-----------------------------------------------------------------------------------------+ 2025-12-04T09:40:07.3356228Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:40:07.3357384Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:40:07.3366994Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:07.3367455Z env: 2025-12-04T09:40:07.3367709Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:07.3368028Z ##[endgroup] 2025-12-04T09:40:07.3429719Z ##[group]Run if systemctl is-active --quiet docker; then 2025-12-04T09:40:07.3430566Z if systemctl is-active --quiet docker; then 2025-12-04T09:40:07.3431034Z  echo "Docker daemon is running..."; 2025-12-04T09:40:07.3431446Z else 2025-12-04T09:40:07.3431852Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-12-04T09:40:07.3432361Z fi 2025-12-04T09:40:07.3438665Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:07.3439109Z env: 2025-12-04T09:40:07.3439350Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:07.3439656Z ##[endgroup] 2025-12-04T09:40:07.3529620Z Docker daemon is running... 2025-12-04T09:40:07.3575505Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:40:07.3575865Z with: 2025-12-04T09:40:07.3576099Z shell: bash 2025-12-04T09:40:07.3576340Z timeout_minutes: 5 2025-12-04T09:40:07.3576619Z max_attempts: 3 2025-12-04T09:40:07.3576892Z retry_wait_seconds: 30 2025-12-04T09:40:07.3579647Z command: AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" # For LF Runners we need to make sure we also login to Meta's ECR docker registry too. META_AWS_ACCOUNT_ID=308535385114 if [ "$AWS_ACCOUNT_ID" != "$META_AWS_ACCOUNT_ID" ] ; then aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ --password-stdin "$META_AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" fi 2025-12-04T09:40:07.3582432Z polling_interval_seconds: 1 2025-12-04T09:40:07.3582766Z warning_on_retry: true 2025-12-04T09:40:07.3583056Z continue_on_error: false 2025-12-04T09:40:07.3583350Z env: 2025-12-04T09:40:07.3583587Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:07.3583883Z AWS_RETRY_MODE: standard 2025-12-04T09:40:07.3584182Z AWS_MAX_ATTEMPTS: 5 2025-12-04T09:40:07.3584479Z AWS_DEFAULT_REGION: us-east-1 2025-12-04T09:40:07.3584781Z ##[endgroup] 2025-12-04T09:40:08.6638702Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:40:08.6639722Z Configure a credential helper to remove this warning. See 2025-12-04T09:40:08.6640412Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:40:08.6640874Z 2025-12-04T09:40:08.6641010Z Login Succeeded 2025-12-04T09:40:09.4519973Z Command completed after 1 attempt(s). 2025-12-04T09:40:09.4575899Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:40:09.4576541Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:40:09.4577075Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:40:09.4585360Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:09.4585812Z env: 2025-12-04T09:40:09.4586051Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:09.4586358Z ##[endgroup] 2025-12-04T09:40:09.4672796Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:40:09.4673457Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T09:40:09.4673986Z # shellcheck disable=SC2046 2025-12-04T09:40:09.4674380Z docker stop $(docker ps -q) || true 2025-12-04T09:40:09.4674796Z # Prune all of the docker images 2025-12-04T09:40:09.4675171Z docker system prune -af 2025-12-04T09:40:09.4681586Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:09.4682033Z env: 2025-12-04T09:40:09.4682293Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:09.4682599Z ##[endgroup] 2025-12-04T09:40:09.4950659Z "docker stop" requires at least 1 argument. 2025-12-04T09:40:09.4951103Z See 'docker stop --help'. 2025-12-04T09:40:09.4951319Z 2025-12-04T09:40:09.4951521Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-12-04T09:40:09.4951838Z 2025-12-04T09:40:09.4951965Z Stop one or more running containers 2025-12-04T09:40:09.5272572Z Total reclaimed space: 0B 2025-12-04T09:40:09.5574424Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-12-04T09:40:09.5574980Z with: 2025-12-04T09:40:09.5575923Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:09.5576996Z use-custom-docker-registry: true 2025-12-04T09:40:09.5577360Z docker-build-dir: .ci/docker 2025-12-04T09:40:09.5577688Z docker-build-script: ./build.sh 2025-12-04T09:40:09.5578201Z working-directory: . 2025-12-04T09:40:09.5578603Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:09.5579058Z force-push: false 2025-12-04T09:40:09.5579321Z env: 2025-12-04T09:40:09.5579563Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:09.5579844Z ##[endgroup] 2025-12-04T09:40:09.5600888Z ##[group]Run set -ex 2025-12-04T09:40:09.5601229Z set -ex 2025-12-04T09:40:09.5601489Z  2025-12-04T09:40:09.5601993Z # If the docker build directory or the build script doesn't exist, the action will 2025-12-04T09:40:09.5602786Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-12-04T09:40:09.5603461Z # job could then download the pre-built image as usual 2025-12-04T09:40:09.5604279Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-12-04T09:40:09.5605285Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5605692Z else 2025-12-04T09:40:09.5605995Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5606522Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5606990Z  2025-12-04T09:40:09.5607647Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-12-04T09:40:09.5608414Z  exit 0 2025-12-04T09:40:09.5608655Z fi 2025-12-04T09:40:09.5608891Z  2025-12-04T09:40:09.5609281Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-12-04T09:40:09.5609992Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-12-04T09:40:09.5610611Z  # use it as it is, but first let's extract the tag 2025-12-04T09:40:09.5611285Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-12-04T09:40:09.5611890Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5612454Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5612939Z else 2025-12-04T09:40:09.5613241Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-12-04T09:40:09.5613692Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-12-04T09:40:09.5614143Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-12-04T09:40:09.5614537Z  fi 2025-12-04T09:40:09.5615068Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-12-04T09:40:09.5615781Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5616541Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5617372Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5617884Z fi 2025-12-04T09:40:09.5624745Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:09.5625190Z env: 2025-12-04T09:40:09.5625442Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:09.5625736Z REPO_NAME: pytorch 2025-12-04T09:40:09.5626869Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:09.5627924Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:40:09.5628264Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-12-04T09:40:09.5628695Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:09.5629174Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-12-04T09:40:09.5629520Z CUSTOM_TAG_PREFIX: 2025-12-04T09:40:09.5629785Z ##[endgroup] 2025-12-04T09:40:09.5657905Z + [[ -d .ci/docker ]] 2025-12-04T09:40:09.5658227Z + [[ -f .ci/docker/./build.sh ]] 2025-12-04T09:40:09.5658722Z + [[ true == \t\r\u\e ]] 2025-12-04T09:40:09.5659012Z + echo skip=false 2025-12-04T09:40:09.5660282Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a == *\3\0\8\5\3\5\3\8\5\1\1\4\.\d\k\r\.\e\c\r\.\u\s\-\e\a\s\t\-\1\.\a\m\a\z\o\n\a\w\s\.\c\o\m\/\p\y\t\o\r\c\h* ]] 2025-12-04T09:40:09.5665842Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:09.5666815Z ++ awk -F '[:,]' '{print $2}' 2025-12-04T09:40:09.5689525Z + DOCKER_TAG=pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:09.5690576Z + echo docker-tag=pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:09.5692184Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:09.5717159Z ##[group]Run set +e 2025-12-04T09:40:09.5717507Z set +e 2025-12-04T09:40:09.5717757Z set -x 2025-12-04T09:40:09.5718014Z  2025-12-04T09:40:09.5718258Z login() { 2025-12-04T09:40:09.5718802Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:40:09.5719417Z } 2025-12-04T09:40:09.5719667Z  2025-12-04T09:40:09.5719892Z retry () { 2025-12-04T09:40:09.5720203Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:40:09.5720570Z } 2025-12-04T09:40:09.5720791Z  2025-12-04T09:40:09.5721054Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:40:09.5721407Z  2025-12-04T09:40:09.5721658Z START_TIME=$(date +%s) 2025-12-04T09:40:09.5721987Z # Wait up to 120 minutes 2025-12-04T09:40:09.5722411Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-12-04T09:40:09.5723002Z  # Check if image already exists, if it does then skip building it 2025-12-04T09:40:09.5723569Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-12-04T09:40:09.5723996Z  exit 0 2025-12-04T09:40:09.5724267Z  fi 2025-12-04T09:40:09.5724498Z  2025-12-04T09:40:09.5724949Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-12-04T09:40:09.5725738Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-12-04T09:40:09.5726520Z  # latter, it will wait for the Docker images to become available before continuing 2025-12-04T09:40:09.5727119Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-12-04T09:40:09.5727588Z  # It's a Docker build job, let's build the image 2025-12-04T09:40:09.5727994Z  break 2025-12-04T09:40:09.5728257Z  else 2025-12-04T09:40:09.5728648Z  # It's a regular build job, wait for the image to become available 2025-12-04T09:40:09.5729135Z  sleep 300 2025-12-04T09:40:09.5729418Z  fi 2025-12-04T09:40:09.5729652Z done 2025-12-04T09:40:09.5729907Z  2025-12-04T09:40:09.5730315Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-12-04T09:40:09.5731267Z # be empty. The default action would be to continue rebuild the image 2025-12-04T09:40:09.5731877Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-12-04T09:40:09.5732416Z  # if we're on the base branch then use the parent commit 2025-12-04T09:40:09.5732896Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-12-04T09:40:09.5733256Z else 2025-12-04T09:40:09.5733644Z  # otherwise we're on a PR, so use the most recent base commit 2025-12-04T09:40:09.5734214Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-12-04T09:40:09.5734737Z fi 2025-12-04T09:40:09.5734967Z  2025-12-04T09:40:09.5735241Z if [[ -z "${MERGE_BASE}" ]]; then 2025-12-04T09:40:09.5735661Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5736040Z  2025-12-04T09:40:09.5736588Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-12-04T09:40:09.5737251Z  exit 0 2025-12-04T09:40:09.5737495Z fi 2025-12-04T09:40:09.5737738Z  2025-12-04T09:40:09.5738090Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-12-04T09:40:09.5738899Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-12-04T09:40:09.5739584Z  exit 1 2025-12-04T09:40:09.5739843Z fi 2025-12-04T09:40:09.5740082Z  2025-12-04T09:40:09.5740487Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-12-04T09:40:09.5741278Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-12-04T09:40:09.5741972Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-12-04T09:40:09.5742778Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-12-04T09:40:09.5743679Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-12-04T09:40:09.5744215Z fi 2025-12-04T09:40:09.5744462Z  2025-12-04T09:40:09.5744747Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-12-04T09:40:09.5751052Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:09.5751495Z env: 2025-12-04T09:40:09.5751749Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:09.5752054Z DOCKER_BUILD_DIR: .ci/docker 2025-12-04T09:40:09.5752460Z BASE_REVISION: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:40:09.5753563Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:09.5754907Z DOCKER_TAG: pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:09.5755693Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:09.5756153Z DOCKER_PUSH: 2025-12-04T09:40:09.5756416Z ##[endgroup] 2025-12-04T09:40:09.5783203Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:09.5783713Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:09.5786079Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:40:09.5787617Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:10.1732048Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:40:10.1732830Z Configure a credential helper to remove this warning. See 2025-12-04T09:40:10.1733517Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:40:10.1733976Z 2025-12-04T09:40:10.1738103Z Login Succeeded 2025-12-04T09:40:10.1753210Z ++ date +%s 2025-12-04T09:40:10.1763933Z + START_TIME=1764841210 2025-12-04T09:40:10.1768184Z ++ date +%s 2025-12-04T09:40:10.1778761Z + [[ 1764834010 -lt 1764841210 ]] 2025-12-04T09:40:10.1780628Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:10.4139307Z { 2025-12-04T09:40:10.4139683Z "schemaVersion": 2, 2025-12-04T09:40:10.4140568Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-12-04T09:40:10.4141088Z "config": { 2025-12-04T09:40:10.4141476Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-12-04T09:40:10.4142605Z "size": 34787, 2025-12-04T09:40:10.4143189Z "digest": "sha256:5465aa79632b68f6240c23f0d0b021df4d0fd595333b61a40d36a0cf73656024" 2025-12-04T09:40:10.4143767Z }, 2025-12-04T09:40:10.4144112Z "layers": [ 2025-12-04T09:40:10.4144579Z { 2025-12-04T09:40:10.4145136Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:10.4145748Z "size": 30447951, 2025-12-04T09:40:10.4146609Z "digest": "sha256:63e5bc7682b85ae57a1221210f64d62e7a90b0a30f19af4ca734b8242ae49d63" 2025-12-04T09:40:10.4147335Z }, 2025-12-04T09:40:10.4147554Z { 2025-12-04T09:40:10.4147915Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:10.4148394Z "size": 1554, 2025-12-04T09:40:10.4148865Z "digest": "sha256:835841cca3b7e1464290cdb78e48773e03583413fbed852c3cc5165a392ea44d" 2025-12-04T09:40:10.4149397Z }, 2025-12-04T09:40:10.4149611Z { 2025-12-04T09:40:10.4149987Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:10.4150467Z "size": 313276213, 2025-12-04T09:40:10.4150975Z "digest": "sha256:1bf1bb125deaa5b8a3adf121671e87ba2fa7e229f9eb1dff7ade581cb737175a" 2025-12-04T09:40:10.4151539Z }, 2025-12-04T09:40:10.4151740Z { 2025-12-04T09:40:10.4152113Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:10.4152593Z "size": 787, 2025-12-04T09:40:10.4153068Z "digest": "sha256:b21856d1bf420da6fa8ec7331b82ab355d4f4178644e7d3a3d3d0fbc3610109a" 2025-12-04T09:40:10.4153620Z }, 2025-12-04T09:40:10.4153915Z { 2025-12-04T09:40:10.4154444Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:10.4155163Z "size": 106, 2025-12-04T09:40:10.4155989Z "digest": "sha256:848ba2c095e2b9e6acfb0ecf077adb526fb2fa82ed44cf6648ebde97f296f8ec" 2025-12-04T09:40:10.4156934Z }, 2025-12-04T09:40:10.4157456Z + exit 0 2025-12-04T09:40:10.4157732Z { 2025-12-04T09:40:10.4158118Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-12-04T09:40:10.4158618Z "size": 704, 2025-12-04T09:40:10.4159080Z "digest": 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"sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-12-04T09:40:10.4365738Z } 2025-12-04T09:40:10.4365950Z ] 2025-12-04T09:40:10.4366147Z } 2025-12-04T09:40:10.4395774Z ##[group]Run set -eux 2025-12-04T09:40:10.4396089Z set -eux 2025-12-04T09:40:10.4396563Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-12-04T09:40:10.4398034Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true 2025-12-04T09:40:10.4405966Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:10.4406405Z env: 2025-12-04T09:40:10.4406633Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:10.4406933Z ##[endgroup] 2025-12-04T09:40:10.4437814Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-12-04T09:40:10.4438657Z + jq --raw-output .SecretString 2025-12-04T09:40:10.4439863Z + jq -r .docker_hub_readonly_token 2025-12-04T09:40:10.4441014Z + docker login --username pytorchbot --password-stdin 2025-12-04T09:40:11.5789357Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:40:11.5790212Z Configure a credential helper to remove this warning. See 2025-12-04T09:40:11.5791200Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:40:11.5791659Z 2025-12-04T09:40:11.5791812Z Login Succeeded 2025-12-04T09:40:11.5881898Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:40:11.5882336Z tag=${ECR_DOCKER_IMAGE##*:} 2025-12-04T09:40:11.5882802Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-12-04T09:40:11.5889584Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:11.5890028Z env: 2025-12-04T09:40:11.5890280Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:11.5891389Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:11.5892422Z ##[endgroup] 2025-12-04T09:40:11.5921742Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:11.5972260Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-12-04T09:40:11.5972760Z with: 2025-12-04T09:40:11.5973674Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:11.5974812Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:11.5975264Z env: 2025-12-04T09:40:11.5975498Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:11.5975801Z ##[endgroup] 2025-12-04T09:40:11.5993696Z ##[group]Run set -x 2025-12-04T09:40:11.5994011Z set -x 2025-12-04T09:40:11.5994257Z set +e 2025-12-04T09:40:11.5994511Z  2025-12-04T09:40:11.5994767Z login() { 2025-12-04T09:40:11.5995308Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-12-04T09:40:11.5996170Z } 2025-12-04T09:40:11.5996518Z  2025-12-04T09:40:11.5996907Z retry () { 2025-12-04T09:40:11.5997376Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-12-04T09:40:11.5997858Z } 2025-12-04T09:40:11.5998097Z  2025-12-04T09:40:11.5998365Z retry login "${DOCKER_REGISTRY}" 2025-12-04T09:40:11.5998708Z  2025-12-04T09:40:11.5999278Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-12-04T09:40:11.6000061Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-12-04T09:40:11.6000504Z  2025-12-04T09:40:11.6000727Z set -e 2025-12-04T09:40:11.6001124Z # ignore output since only exit code is used for conditional 2025-12-04T09:40:11.6001716Z # only pull docker image if it's not available locally 2025-12-04T09:40:11.6002347Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-12-04T09:40:11.6002947Z  retry docker pull "${DOCKER_IMAGE}" 2025-12-04T09:40:11.6003325Z fi 2025-12-04T09:40:11.6009952Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:40:11.6010387Z env: 2025-12-04T09:40:11.6010638Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:40:11.6011685Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:11.6012799Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:11.6013257Z ##[endgroup] 2025-12-04T09:40:11.6037930Z + set +e 2025-12-04T09:40:11.6038573Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:11.6039111Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:11.6042039Z + aws ecr get-login-password --region us-east-1 2025-12-04T09:40:11.6043330Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-12-04T09:40:12.1955486Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-12-04T09:40:12.1956657Z Configure a credential helper to remove this warning. See 2025-12-04T09:40:12.1957717Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-12-04T09:40:12.1958389Z 2025-12-04T09:40:12.1958520Z Login Succeeded 2025-12-04T09:40:12.1976842Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:12.1978005Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-12-04T09:40:12.4313344Z + IMAGE_SIZE=13438.219573020935 2025-12-04T09:40:12.4313822Z + echo 'Compressed size of image in MB: 13438.219573020935' 2025-12-04T09:40:12.4314302Z + set -e 2025-12-04T09:40:12.4315301Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:12.4316774Z Compressed size of image in MB: 13438.219573020935 2025-12-04T09:40:12.4460414Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:12.4462138Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:40:12.6937196Z pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a: Pulling from pytorch/ci-image 2025-12-04T09:40:12.6938671Z 63e5bc7682b8: Pulling fs layer 2025-12-04T09:40:12.6939225Z 835841cca3b7: Pulling fs layer 2025-12-04T09:40:12.6939790Z 1bf1bb125dea: Pulling fs layer 2025-12-04T09:40:12.6940170Z b21856d1bf42: Pulling fs layer 2025-12-04T09:40:12.6940572Z 848ba2c095e2: Pulling fs layer 2025-12-04T09:40:12.6940992Z 029495b23122: Pulling fs layer 2025-12-04T09:40:12.6941370Z 073bb82063cf: Pulling fs layer 2025-12-04T09:40:12.6941808Z 59b639308833: Pulling fs layer 2025-12-04T09:40:12.6942172Z 1c6177b2970d: Pulling fs layer 2025-12-04T09:40:12.6942575Z fabe466dd5f3: Pulling fs layer 2025-12-04T09:40:12.6942924Z 2b5a11b41761: Pulling fs layer 2025-12-04T09:40:12.6943472Z 9681563a88ff: Pulling fs layer 2025-12-04T09:40:12.6943844Z dc0780902fca: Pulling fs layer 2025-12-04T09:40:12.6944266Z 5b09a2b135c8: Pulling fs layer 2025-12-04T09:40:12.6944640Z 4f4fb700ef54: Pulling fs layer 2025-12-04T09:40:12.6945140Z 5bfdaeb5578d: Pulling fs layer 2025-12-04T09:40:12.6945680Z 029495b23122: Waiting 2025-12-04T09:40:12.6946071Z 073bb82063cf: Waiting 2025-12-04T09:40:12.6946388Z 2b5a11b41761: Waiting 2025-12-04T09:40:12.6946700Z 59b639308833: Waiting 2025-12-04T09:40:12.6946998Z 0ef42867f370: Pulling fs layer 2025-12-04T09:40:12.6947377Z 446083e497f3: Pulling fs layer 2025-12-04T09:40:12.6947859Z d8a170bef0f4: Pulling fs layer 2025-12-04T09:40:12.6948185Z 1c6177b2970d: Waiting 2025-12-04T09:40:12.6948537Z e2b6cd6a5bd0: Pulling fs layer 2025-12-04T09:40:12.6949073Z fabe466dd5f3: Waiting 2025-12-04T09:40:12.6949500Z b21856d1bf42: Waiting 2025-12-04T09:40:12.6949815Z dc0780902fca: Waiting 2025-12-04T09:40:12.6950089Z 848ba2c095e2: Waiting 2025-12-04T09:40:12.6950450Z 93efc0181a22: Pulling fs layer 2025-12-04T09:40:12.6950762Z 7454c938f174: Pulling fs layer 2025-12-04T09:40:12.6951086Z 4d57ff55f6d4: Pulling fs layer 2025-12-04T09:40:12.6951406Z b0301534b4a5: Pulling fs layer 2025-12-04T09:40:12.6951711Z 1969e15d0c13: Pulling fs layer 2025-12-04T09:40:12.6952031Z 73180a0f2d5a: Pulling fs layer 2025-12-04T09:40:12.6952341Z 5bfdaeb5578d: Waiting 2025-12-04T09:40:12.6952631Z ad81b25cb69f: Pulling fs layer 2025-12-04T09:40:12.6952925Z 0ef42867f370: Waiting 2025-12-04T09:40:12.6953455Z 5b09a2b135c8: Waiting 2025-12-04T09:40:12.6953740Z 8165374f8dcc: Pulling fs layer 2025-12-04T09:40:12.6954038Z 446083e497f3: Waiting 2025-12-04T09:40:12.6954314Z d8a170bef0f4: Waiting 2025-12-04T09:40:12.6954585Z 73180a0f2d5a: Waiting 2025-12-04T09:40:12.6954846Z b0301534b4a5: Waiting 2025-12-04T09:40:12.6955111Z 7454c938f174: Waiting 2025-12-04T09:40:12.6955388Z 7779c0bb9be2: Pulling fs layer 2025-12-04T09:40:12.6955696Z 4d0a1c027262: Pulling fs layer 2025-12-04T09:40:12.6956004Z ad81b25cb69f: Waiting 2025-12-04T09:40:12.6956276Z e2b6cd6a5bd0: Waiting 2025-12-04T09:40:12.6956534Z 8165374f8dcc: Waiting 2025-12-04T09:40:12.6956815Z a51e0dab2d59: Pulling fs layer 2025-12-04T09:40:12.6957125Z 4d57ff55f6d4: Waiting 2025-12-04T09:40:12.6957385Z 4d0a1c027262: Waiting 2025-12-04T09:40:12.6957726Z 1969e15d0c13: Waiting 2025-12-04T09:40:12.6958017Z a51e0dab2d59: Waiting 2025-12-04T09:40:12.6958328Z 3eb6d4ff040b: Pulling fs layer 2025-12-04T09:40:12.6958729Z b168858b8537: Pulling fs layer 2025-12-04T09:40:12.6959333Z 7779c0bb9be2: Waiting 2025-12-04T09:40:12.6959805Z d77a39278026: Pulling fs layer 2025-12-04T09:40:12.6960382Z 36fbd357280b: Pulling fs layer 2025-12-04T09:40:12.6960998Z 3eb6d4ff040b: Waiting 2025-12-04T09:40:12.6961351Z b168858b8537: Waiting 2025-12-04T09:40:12.6961823Z d77a39278026: Waiting 2025-12-04T09:40:12.6962094Z 93efc0181a22: Waiting 2025-12-04T09:40:12.6962383Z 4e3b10a5dd6a: Pulling fs layer 2025-12-04T09:40:12.6962686Z 36fbd357280b: Waiting 2025-12-04T09:40:12.6962960Z 4e3b10a5dd6a: Waiting 2025-12-04T09:40:12.6963233Z 4f4fb700ef54: Waiting 2025-12-04T09:40:12.6963505Z 3092fab73b59: Pulling fs layer 2025-12-04T09:40:12.6963825Z 20020dd28a15: Pulling fs layer 2025-12-04T09:40:12.6964146Z ae5280ce969d: Pulling fs layer 2025-12-04T09:40:12.6964439Z 20020dd28a15: Waiting 2025-12-04T09:40:12.6964715Z 026e4484b749: Pulling fs layer 2025-12-04T09:40:12.6965020Z ae5280ce969d: Waiting 2025-12-04T09:40:12.6965294Z 1be9da2ce53d: Pulling fs layer 2025-12-04T09:40:12.6965604Z 9681563a88ff: Waiting 2025-12-04T09:40:12.6965882Z 026e4484b749: Waiting 2025-12-04T09:40:12.6966147Z 6481b7a1d9fb: Pulling fs layer 2025-12-04T09:40:12.6966459Z 1be9da2ce53d: Waiting 2025-12-04T09:40:12.6966744Z fa519d18c39d: Pulling fs layer 2025-12-04T09:40:12.6967093Z 6481b7a1d9fb: Waiting 2025-12-04T09:40:12.6967368Z d172f25b97f7: Pulling fs layer 2025-12-04T09:40:12.6967685Z fa519d18c39d: Waiting 2025-12-04T09:40:12.6967978Z fd60ab6b1c2c: Pulling fs layer 2025-12-04T09:40:12.6968297Z 0afe45579c2c: Pulling fs layer 2025-12-04T09:40:12.6968624Z 5884ffd6720b: Pulling fs layer 2025-12-04T09:40:12.6968933Z d172f25b97f7: Waiting 2025-12-04T09:40:12.6969191Z 0afe45579c2c: Waiting 2025-12-04T09:40:12.6969466Z fd60ab6b1c2c: Waiting 2025-12-04T09:40:12.6969751Z ab7a7c316fa7: Pulling fs layer 2025-12-04T09:40:12.6970062Z 5884ffd6720b: Waiting 2025-12-04T09:40:12.6970330Z c7775ce5574b: Pulling fs layer 2025-12-04T09:40:12.6970648Z 81945c4fb228: Pulling fs layer 2025-12-04T09:40:12.6971052Z c7775ce5574b: Waiting 2025-12-04T09:40:12.6971394Z ab7a7c316fa7: Waiting 2025-12-04T09:40:12.6971685Z 663cbe24d60b: Pulling fs layer 2025-12-04T09:40:12.6972053Z 43f216b02786: Pulling fs layer 2025-12-04T09:40:12.6972349Z 663cbe24d60b: Waiting 2025-12-04T09:40:12.6972618Z 81945c4fb228: Waiting 2025-12-04T09:40:12.6972902Z c47c3cfeb687: Pulling fs layer 2025-12-04T09:40:12.6973198Z 43f216b02786: Waiting 2025-12-04T09:40:12.6973467Z c47c3cfeb687: Waiting 2025-12-04T09:40:12.6973749Z 7d326b9e2673: Pulling fs layer 2025-12-04T09:40:12.6974055Z 7ec8f17141c8: Pulling fs layer 2025-12-04T09:40:12.6974360Z 7ec8f17141c8: Waiting 2025-12-04T09:40:12.6974641Z 7d326b9e2673: Waiting 2025-12-04T09:40:12.6974925Z 26249ea175bf: Pulling fs layer 2025-12-04T09:40:12.6975237Z 5e8e9ccb36f3: Pulling fs layer 2025-12-04T09:40:12.6975566Z 5bc72d4e1de8: Pulling fs layer 2025-12-04T09:40:12.6975880Z 26249ea175bf: Waiting 2025-12-04T09:40:12.6976141Z 5e8e9ccb36f3: Waiting 2025-12-04T09:40:12.6976431Z 83cddbd49779: Pulling fs layer 2025-12-04T09:40:12.6976758Z 60c25d8c3dd2: Pulling fs layer 2025-12-04T09:40:12.6977173Z 5bc72d4e1de8: Waiting 2025-12-04T09:40:12.6977464Z a534dcf4b9a9: Pulling fs layer 2025-12-04T09:40:12.6977779Z 83cddbd49779: Waiting 2025-12-04T09:40:12.6978057Z 60c25d8c3dd2: Waiting 2025-12-04T09:40:12.6978337Z 10138310c65c: Pulling fs layer 2025-12-04T09:40:12.6978658Z 8487679f252b: Pulling fs layer 2025-12-04T09:40:12.6978979Z 52580ee2caa9: Pulling fs layer 2025-12-04T09:40:12.6979272Z 10138310c65c: Waiting 2025-12-04T09:40:12.6979557Z 741c215cb2ff: Pulling fs layer 2025-12-04T09:40:12.6979871Z a534dcf4b9a9: Waiting 2025-12-04T09:40:12.6980148Z d17f5aba17a6: Pulling fs layer 2025-12-04T09:40:12.6980457Z 52580ee2caa9: Waiting 2025-12-04T09:40:12.6980728Z 741c215cb2ff: Waiting 2025-12-04T09:40:12.6980982Z 8487679f252b: Waiting 2025-12-04T09:40:12.6981260Z bc08246bb4ba: Pulling fs layer 2025-12-04T09:40:12.6981582Z 7323bf084bf9: Pulling fs layer 2025-12-04T09:40:12.6981873Z d17f5aba17a6: Waiting 2025-12-04T09:40:12.6982153Z d344ecc97fd7: Pulling fs layer 2025-12-04T09:40:12.6982464Z bc08246bb4ba: Waiting 2025-12-04T09:40:12.6982734Z fb60b2d2147f: Pulling fs layer 2025-12-04T09:40:12.6983041Z 7323bf084bf9: Waiting 2025-12-04T09:40:12.6983308Z fb60b2d2147f: Waiting 2025-12-04T09:40:12.7684339Z 835841cca3b7: Verifying Checksum 2025-12-04T09:40:12.7685284Z 835841cca3b7: Download complete 2025-12-04T09:40:12.9097835Z b21856d1bf42: Verifying Checksum 2025-12-04T09:40:12.9098273Z b21856d1bf42: Download complete 2025-12-04T09:40:13.0159653Z 848ba2c095e2: Verifying Checksum 2025-12-04T09:40:13.0160086Z 848ba2c095e2: Download complete 2025-12-04T09:40:13.0377942Z 63e5bc7682b8: Download complete 2025-12-04T09:40:13.1140578Z 029495b23122: Download complete 2025-12-04T09:40:13.1289819Z 073bb82063cf: Verifying Checksum 2025-12-04T09:40:13.1290241Z 073bb82063cf: Download complete 2025-12-04T09:40:13.1869032Z 59b639308833: Verifying Checksum 2025-12-04T09:40:13.1869667Z 59b639308833: Download complete 2025-12-04T09:40:13.2779669Z fabe466dd5f3: Verifying Checksum 2025-12-04T09:40:13.2780147Z fabe466dd5f3: Download complete 2025-12-04T09:40:13.4191485Z 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:44:26.3996204Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:26.3997448Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:26.4008211Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:44:26.4008659Z env: 2025-12-04T09:44:26.4008896Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:26.4009200Z ##[endgroup] 2025-12-04T09:44:26.4209711Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-12-04T09:44:26.4210200Z with: 2025-12-04T09:44:26.4210444Z driver-version: 525.105.17 2025-12-04T09:44:26.4210872Z env: 2025-12-04T09:44:26.4211118Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:26.4211437Z ##[endgroup] 2025-12-04T09:44:26.4266571Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:26.4267654Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:26.4274792Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:44:26.4275236Z env: 2025-12-04T09:44:26.4275481Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:26.4275770Z ##[endgroup] 2025-12-04T09:44:26.4348700Z ##[group]Run set -euo pipefail 2025-12-04T09:44:26.4349076Z set -euo pipefail 2025-12-04T09:44:26.4349426Z  2025-12-04T09:44:26.4349659Z has_gpu=false 2025-12-04T09:44:26.4349949Z devices="" 2025-12-04T09:44:26.4350217Z  2025-12-04T09:44:26.4350522Z if command -v nvidia-smi >/dev/null 2>&1; then 2025-12-04T09:44:26.4351054Z  if nvidia-smi -L >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:44:26.4351510Z  has_gpu=true 2025-12-04T09:44:26.4351853Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:44:26.4352211Z  fi 2025-12-04T09:44:26.4352454Z fi 2025-12-04T09:44:26.4352691Z  2025-12-04T09:44:26.4352947Z if [ "$has_gpu" = false ]; then 2025-12-04T09:44:26.4353400Z  if ls /dev/nvidia* >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:44:26.4353850Z  has_gpu=true 2025-12-04T09:44:26.4354194Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:44:26.4354551Z  fi 2025-12-04T09:44:26.4354797Z fi 2025-12-04T09:44:26.4355038Z  2025-12-04T09:44:26.4355385Z if [ "$has_gpu" = false ] && command -v lspci >/dev/null 2>&1; then 2025-12-04T09:44:26.4355987Z  if lspci | grep -i 'nvidia' >/tmp/nvidia_devices 2>/dev/null; then 2025-12-04T09:44:26.4356476Z  has_gpu=true 2025-12-04T09:44:26.4356803Z  devices=$(cat /tmp/nvidia_devices) 2025-12-04T09:44:26.4357172Z  fi 2025-12-04T09:44:26.4357411Z fi 2025-12-04T09:44:26.4357632Z  2025-12-04T09:44:26.4357980Z printf 'HAS_NVIDIA=%s\n' "$has_gpu" >> "$GITHUB_OUTPUT" 2025-12-04T09:44:26.4358750Z printf 'DETECTED_DEVICES<> "$GITHUB_OUTPUT" 2025-12-04T09:44:26.4364876Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:44:26.4365305Z env: 2025-12-04T09:44:26.4365547Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:26.4365849Z ##[endgroup] 2025-12-04T09:44:27.9806136Z ##[group]Run if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:44:27.9806611Z if [ "${HAS_NVIDIA}" = "true" ]; then 2025-12-04T09:44:27.9807050Z  echo "HAS_NVIDIA_GPU=true" >> "${GITHUB_ENV}" 2025-12-04T09:44:27.9807662Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-12-04T09:44:27.9808207Z else 2025-12-04T09:44:27.9808520Z  echo "HAS_NVIDIA_GPU=false" >> "${GITHUB_ENV}" 2025-12-04T09:44:27.9808921Z fi 2025-12-04T09:44:27.9816692Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:44:27.9817127Z env: 2025-12-04T09:44:27.9817374Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:27.9817694Z HAS_NVIDIA: true 2025-12-04T09:44:27.9817949Z ##[endgroup] 2025-12-04T09:44:27.9899387Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-12-04T09:44:27.9899890Z with: 2025-12-04T09:44:27.9900125Z timeout_minutes: 10 2025-12-04T09:44:27.9900418Z max_attempts: 3 2025-12-04T09:44:27.9933808Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID) DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run" install_nvidia_docker2_amzn2() { ( set -x # Needed for yum-config-manager sudo yum install -y yum-utils if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo" else # Amazon Linux 2 YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo" fi sudo yum-config-manager --add-repo "${YUM_REPO_URL}" sudo yum install -y \ nvidia-container-toolkit-1.17.8 \ libnvidia-container-tools-1.17.8 \ libnvidia-container1-1.17.8 \ nvidia-container-toolkit-base-1.17.8 sudo systemctl restart docker ) } install_nvidia_docker2_ubuntu20() { ( set -x # Install nvidia-driver package if not installed status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)" if [ ! $? = 0 ] || [ ! "$status" = installed ]; then sudo apt-get install -y nvidia-container-toolkit-1.17.8 sudo systemctl restart docker fi ) } pre_install_nvidia_driver_amzn2() { ( # Purge any nvidia driver installed from RHEL repo sudo yum remove -y nvidia-driver-latest-dkms ) } install_nvidia_driver_common() { ( # Try to gather more information about the runner and its existing NVIDIA driver if any echo "Before installing NVIDIA driver" lspci lsmod modinfo nvidia || true HAS_NVIDIA_DRIVER=0 # Check if NVIDIA driver has already been installed if [ -x "$(command -v nvidia-smi)" ]; then set +e # The driver exists, check its version next. Also check only the first GPU if there are more than one of them # so that the same driver version is not print over multiple lines INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing" elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing" # Turn off persistent mode so that the installation script can unload the kernel module sudo killall nvidia-persistenced || true else HAS_NVIDIA_DRIVER=1 echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation" fi set -e fi if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then # CAUTION: this may need to be updated in future if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then sudo yum groupinstall -y "Development Tools" # ensure our kernel install is the same as our underlying kernel, # groupinstall "Development Tools" has a habit of mismatching kernel headers sudo yum install -y "kernel-devel-uname-r == $(uname -r)" sudo modprobe backlight fi sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN" set +e sudo /bin/bash /tmp/nvidia_driver -s --no-drm NVIDIA_INSTALLATION_STATUS=$? RESET_GPU=0 if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then sudo cat /var/log/nvidia-installer.log # Fail to install NVIDIA driver, try to reset the GPU RESET_GPU=1 elif [ -x "$(command -v nvidia-smi)" ]; then # Check again if nvidia-smi works even if the driver installation completes successfully INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then RESET_GPU=1 fi fi if [ "$RESET_GPU" -eq 1 ]; then NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1) # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388 for PCI_ID in $NVIDIA_DEVICES; do DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable) echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)" # This requires sudo permission of course echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset sleep 1 done fi sudo rm -fv /tmp/nvidia_driver set -e fi ) } post_install_nvidia_driver_common() { ( sudo modprobe nvidia || true echo "After installing NVIDIA driver" lspci lsmod modinfo nvidia || true ( set +e nvidia-smi # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in # the case where the driver has already crashed as it still can get the driver version # and some basic information like the bus ID. However, the rest of the information # would be missing (ERR!), for example: # # +-----------------------------------------------------------------------------+ # | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 | # |-------------------------------+----------------------+----------------------+ # | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | # | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | # | | | MIG M. | # |===============================+======================+======================| # | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! | # |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default | # | | | ERR! | # +-------------------------------+----------------------+----------------------+ # # +-----------------------------------------------------------------------------+ # | Processes: | # | GPU GI CI PID Type Process name GPU Memory | # | ID ID Usage | # |=============================================================================| # +-----------------------------------------------------------------------------+ # # This should be reported as a failure instead as it will guarantee to fail when # Docker tries to run with --gpus all # # So, the correct check here is to query one of the missing piece of info like # GPU name, so that the command can fail accordingly nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 NVIDIA_SMI_STATUS=$? # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285 if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}" else echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}" exit ${NVIDIA_SMI_STATUS} fi set -e ) ) } install_nvidia_driver_amzn2() { ( set -x pre_install_nvidia_driver_amzn2 install_nvidia_driver_common post_install_nvidia_driver_common ) } install_nvidia_driver_ubuntu20() { ( set -x install_nvidia_driver_common post_install_nvidia_driver_common ) } echo "== Installing nvidia driver ${DRIVER_FN} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_driver_amzn2 ;; ubuntu20.04) install_nvidia_driver_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Install container toolkit based on distribution echo "== Installing nvidia container toolkit for ${DISTRIBUTION} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_docker2_amzn2 ;; ubuntu20.04) install_nvidia_docker2_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with # more than one GPUs. This just needs to be run once. The command fails # on subsequent runs and complains that the mode is already on, but that's # ok sudo nvidia-persistenced || true # This should show persistence mode ON nvidia-smi # check if the container-toolkit is correctly installed and CUDA is available inside a container docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi 2025-12-04T09:44:27.9966801Z retry_wait_seconds: 10 2025-12-04T09:44:27.9967121Z polling_interval_seconds: 1 2025-12-04T09:44:27.9967435Z warning_on_retry: true 2025-12-04T09:44:27.9967744Z continue_on_error: false 2025-12-04T09:44:27.9968045Z env: 2025-12-04T09:44:27.9968270Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:44:27.9968575Z HAS_NVIDIA_GPU: true 2025-12-04T09:44:27.9968936Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:44:27.9969357Z DRIVER_VERSION: 525.105.17 2025-12-04T09:44:27.9969662Z ##[endgroup] 2025-12-04T09:44:28.1093449Z == Installing nvidia driver NVIDIA-Linux-x86_64-525.105.17.run == 2025-12-04T09:44:28.1094402Z + pre_install_nvidia_driver_amzn2 2025-12-04T09:44:28.1096423Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-12-04T09:44:28.7424297Z No match for argument: nvidia-driver-latest-dkms 2025-12-04T09:44:28.7424936Z No packages marked for removal. 2025-12-04T09:44:28.7495224Z Dependencies resolved. 2025-12-04T09:44:28.7506421Z Nothing to do. 2025-12-04T09:44:28.7507300Z Complete! 2025-12-04T09:44:28.8691339Z + install_nvidia_driver_common 2025-12-04T09:44:28.8694405Z + echo 'Before installing NVIDIA driver' 2025-12-04T09:44:28.8695701Z Before installing NVIDIA driver 2025-12-04T09:44:28.8697482Z + lspci 2025-12-04T09:44:29.0035960Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:44:29.0036624Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:44:29.0037321Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:44:29.0037995Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:44:29.0053763Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:44:29.0054663Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:44:29.0055299Z 00:1e.0 3D controller: NVIDIA Corporation TU104GL [Tesla T4] (rev a1) 2025-12-04T09:44:29.0055944Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:44:29.0056479Z + lsmod 2025-12-04T09:44:29.0081612Z Module Size Used by 2025-12-04T09:44:29.0082340Z nvidia_uvm 1925120 0 2025-12-04T09:44:29.0082692Z nvidia 14286848 1 nvidia_uvm 2025-12-04T09:44:29.0083060Z drm 602112 1 nvidia 2025-12-04T09:44:29.0083447Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:44:29.0083828Z backlight 24576 1 drm 2025-12-04T09:44:29.0084188Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:44:29.0084551Z xt_conntrack 16384 1 2025-12-04T09:44:29.0084866Z nft_chain_nat 16384 3 2025-12-04T09:44:29.0085188Z xt_MASQUERADE 20480 1 2025-12-04T09:44:29.0085561Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:44:29.0085980Z nf_conntrack_netlink 57344 0 2025-12-04T09:44:29.0086484Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:44:29.0087046Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:44:29.0087425Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:44:29.0087801Z xfrm_user 57344 1 2025-12-04T09:44:29.0088136Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:44:29.0088500Z xt_addrtype 16384 2 2025-12-04T09:44:29.0088808Z nft_compat 20480 4 2025-12-04T09:44:29.0089188Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:44:29.0089707Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:44:29.0090174Z br_netfilter 36864 0 2025-12-04T09:44:29.0090514Z bridge 323584 1 br_netfilter 2025-12-04T09:44:29.0090984Z stp 16384 1 bridge 2025-12-04T09:44:29.0091332Z llc 16384 2 bridge,stp 2025-12-04T09:44:29.0091688Z overlay 167936 0 2025-12-04T09:44:29.0092000Z tls 139264 0 2025-12-04T09:44:29.0092299Z nls_ascii 16384 1 2025-12-04T09:44:29.0092611Z nls_cp437 20480 1 2025-12-04T09:44:29.0092921Z vfat 24576 1 2025-12-04T09:44:29.0093242Z fat 86016 1 vfat 2025-12-04T09:44:29.0093562Z sunrpc 700416 1 2025-12-04T09:44:29.0093866Z i8042 45056 0 2025-12-04T09:44:29.0094178Z ena 184320 0 2025-12-04T09:44:29.0094486Z serio 28672 3 i8042 2025-12-04T09:44:29.0094832Z skx_edac_common 28672 0 2025-12-04T09:44:29.0095187Z ghash_clmulni_intel 16384 0 2025-12-04T09:44:29.0095502Z button 24576 0 2025-12-04T09:44:29.0095823Z sch_fq_codel 20480 17 2025-12-04T09:44:29.0096147Z dm_mod 188416 0 2025-12-04T09:44:29.0096602Z fuse 184320 1 2025-12-04T09:44:29.0096921Z configfs 57344 1 2025-12-04T09:44:29.0097233Z loop 36864 0 2025-12-04T09:44:29.0097532Z dmi_sysfs 20480 0 2025-12-04T09:44:29.0097845Z crc32_pclmul 16384 0 2025-12-04T09:44:29.0098168Z crc32c_intel 24576 0 2025-12-04T09:44:29.0098482Z efivarfs 24576 1 2025-12-04T09:44:29.0098783Z + modinfo nvidia 2025-12-04T09:44:29.0102197Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:44:29.0103026Z import_ns: DMA_BUF 2025-12-04T09:44:29.0103434Z alias: char-major-195-* 2025-12-04T09:44:29.0103906Z version: 580.82.07 2025-12-04T09:44:29.0104332Z supported: external 2025-12-04T09:44:29.0104931Z license: Dual MIT/GPL 2025-12-04T09:44:29.0105474Z firmware: nvidia/580.82.07/gsp_tu10x.bin 2025-12-04T09:44:29.0106285Z firmware: nvidia/580.82.07/gsp_ga10x.bin 2025-12-04T09:44:29.0106757Z srcversion: BA7240A71DCF7DC6FE88C1D 2025-12-04T09:44:29.0107155Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-12-04T09:44:29.0107594Z alias: of:N*T*Cnvidia,tegra264-display 2025-12-04T09:44:29.0108030Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-12-04T09:44:29.0108446Z alias: of:N*T*Cnvidia,tegra234-display 2025-12-04T09:44:29.0109061Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:44:29.0109506Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:44:29.0110267Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:44:29.0110814Z depends: i2c-core,drm 2025-12-04T09:44:29.0111127Z retpoline: Y 2025-12-04T09:44:29.0111400Z name: nvidia 2025-12-04T09:44:29.0111870Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:44:29.0112980Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:44:29.0113564Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:44:29.0114100Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:44:29.0114470Z parm: NVreg_RmLogonRC:int 2025-12-04T09:44:29.0114846Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:44:29.0115237Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:44:29.0115597Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:44:29.0115980Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:44:29.0116500Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:44:29.0117398Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:44:29.0117801Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:44:29.0118172Z parm: NVreg_EnableMSI:int 2025-12-04T09:44:29.0118547Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:44:29.0118981Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:44:29.0119468Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:44:29.0119941Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:44:29.0120432Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:44:29.0120933Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:44:29.0121447Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:44:29.0121955Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:44:29.0122364Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:44:29.0122815Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:44:29.0123273Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:44:29.0123680Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:44:29.0124075Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:44:29.0124483Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:44:29.0124867Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:44:29.0125251Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:44:29.0125825Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:44:29.0126259Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:44:29.0126696Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-12-04T09:44:29.0127146Z parm: NVreg_EnableResizableBar:int 2025-12-04T09:44:29.0127563Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:44:29.0127981Z parm: NVreg_EnableNonblockingOpen:int 2025-12-04T09:44:29.0128417Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-12-04T09:44:29.0128837Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:44:29.0129243Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:44:29.0129650Z parm: NVreg_RmMsg:charp 2025-12-04T09:44:29.0130005Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:44:29.0130391Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:44:29.0130893Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:44:29.0131284Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:44:29.0131691Z parm: NVreg_RmNvlinkBandwidth:charp 2025-12-04T09:44:29.0132112Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-12-04T09:44:29.0132541Z parm: NVreg_ImexChannelCount:int 2025-12-04T09:44:29.0132943Z parm: NVreg_CreateImexChannel0:int 2025-12-04T09:44:29.0133353Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-12-04T09:44:29.0133892Z parm: rm_firmware_active:charp 2025-12-04T09:44:29.0134254Z + HAS_NVIDIA_DRIVER=0 2025-12-04T09:44:29.0134540Z ++ command -v nvidia-smi 2025-12-04T09:44:29.0134866Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:44:29.0135191Z + set +e 2025-12-04T09:44:29.0135558Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:44:30.5366095Z + INSTALLED_DRIVER_VERSION=580.82.07 2025-12-04T09:44:30.5366618Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:44:30.5367004Z + '[' 0 -ne 0 ']' 2025-12-04T09:44:30.5367424Z + '[' 580.82.07 '!=' 525.105.17 ']' 2025-12-04T09:44:30.5368402Z + echo 'NVIDIA driver (580.82.07) has been installed, but we expect to have 525.105.17 instead. Continuing' 2025-12-04T09:44:30.5369095Z + sudo killall nvidia-persistenced 2025-12-04T09:44:30.5369686Z NVIDIA driver (580.82.07) has been installed, but we expect to have 525.105.17 instead. Continuing 2025-12-04T09:44:30.6720317Z nvidia-persistenced: no process found 2025-12-04T09:44:30.6740180Z + true 2025-12-04T09:44:30.6740627Z + set -e 2025-12-04T09:44:30.6741086Z + '[' 0 -eq 0 ']' 2025-12-04T09:44:30.6741498Z + '[' amzn2023 '!=' ubuntu20.04 ']' 2025-12-04T09:44:30.6741877Z + sudo yum groupinstall -y 'Development Tools' 2025-12-04T09:44:31.2799875Z Last metadata expiration check: 0:08:00 ago on Thu Dec 4 09:36:31 2025. 2025-12-04T09:44:31.3224969Z No match for group package "system-rpm-config" 2025-12-04T09:44:31.3244812Z No match for group package "rcs" 2025-12-04T09:44:31.3270124Z No match for group package "pkgconfig" 2025-12-04T09:44:31.3846291Z Dependencies resolved. 2025-12-04T09:44:31.4170858Z ================================================================================ 2025-12-04T09:44:31.4171456Z Package Architecture Version Repository Size 2025-12-04T09:44:31.4171985Z ================================================================================ 2025-12-04T09:44:31.4172376Z Installing Groups: 2025-12-04T09:44:31.4172775Z Development Tools 2025-12-04T09:44:31.4173130Z 2025-12-04T09:44:31.4173252Z Transaction Summary 2025-12-04T09:44:31.4173542Z ================================================================================ 2025-12-04T09:44:31.4173830Z 2025-12-04T09:44:32.4226820Z ================================================================================ 2025-12-04T09:44:32.4227310Z WARNING: 2025-12-04T09:44:32.4227596Z A newer release of "Amazon Linux" is available. 2025-12-04T09:44:32.4227905Z 2025-12-04T09:44:32.4228016Z Available Versions: 2025-12-04T09:44:32.4228198Z 2025-12-04T09:44:32.4228563Z Version 2023.9.20250929: 2025-12-04T09:44:32.4228963Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:44:32.4229283Z 2025-12-04T09:44:32.4229430Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:44:32.4229709Z 2025-12-04T09:44:32.4229812Z Release notes: 2025-12-04T09:44:32.4230333Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:44:32.4230808Z 2025-12-04T09:44:32.4230915Z Version 2023.9.20251014: 2025-12-04T09:44:32.4231297Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:44:32.4231625Z 2025-12-04T09:44:32.4231762Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:44:32.4232022Z 2025-12-04T09:44:32.4232134Z Release notes: 2025-12-04T09:44:32.4232613Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:44:32.4233095Z 2025-12-04T09:44:32.4233201Z Version 2023.9.20251020: 2025-12-04T09:44:32.4233581Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:44:32.4233900Z 2025-12-04T09:44:32.4234044Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:44:32.4234303Z 2025-12-04T09:44:32.4234401Z Release notes: 2025-12-04T09:44:32.4234892Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:44:32.4235361Z 2025-12-04T09:44:32.4235601Z Version 2023.9.20251027: 2025-12-04T09:44:32.4235971Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:44:32.4236300Z 2025-12-04T09:44:32.4236435Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:44:32.4236707Z 2025-12-04T09:44:32.4236806Z Release notes: 2025-12-04T09:44:32.4237296Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:44:32.4237760Z 2025-12-04T09:44:32.4237862Z Version 2023.9.20251105: 2025-12-04T09:44:32.4238239Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:44:32.4238557Z 2025-12-04T09:44:32.4238701Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:44:32.4238959Z 2025-12-04T09:44:32.4239057Z Release notes: 2025-12-04T09:44:32.4239543Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:44:32.4240022Z 2025-12-04T09:44:32.4240126Z Version 2023.9.20251110: 2025-12-04T09:44:32.4240508Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:44:32.4240819Z 2025-12-04T09:44:32.4240951Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:44:32.4241221Z 2025-12-04T09:44:32.4241323Z Release notes: 2025-12-04T09:44:32.4241811Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:44:32.4242279Z 2025-12-04T09:44:32.4242393Z Version 2023.9.20251117: 2025-12-04T09:44:32.4242760Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:44:32.4243085Z 2025-12-04T09:44:32.4243218Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:44:32.4243481Z 2025-12-04T09:44:32.4243596Z Release notes: 2025-12-04T09:44:32.4244075Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:44:32.4244555Z 2025-12-04T09:44:32.4244683Z ================================================================================ 2025-12-04T09:44:32.4245069Z Complete! 2025-12-04T09:44:32.5127143Z ++ uname -r 2025-12-04T09:44:32.5137646Z + sudo yum install -y 'kernel-devel-uname-r == 6.1.150-174.273.amzn2023.x86_64' 2025-12-04T09:44:33.0240972Z Last metadata expiration check: 0:08:02 ago on Thu Dec 4 09:36:31 2025. 2025-12-04T09:44:33.0544144Z Using '==' operator in reldeps can result in an undefined behavior. It is deprecated and the support will be dropped in future versions. Use '=' operator instead. 2025-12-04T09:44:33.0668528Z Package kernel-devel-1:6.1.150-174.273.amzn2023.x86_64 is already installed. 2025-12-04T09:44:33.1279316Z Dependencies resolved. 2025-12-04T09:44:33.1606773Z Nothing to do. 2025-12-04T09:44:33.1607321Z Complete! 2025-12-04T09:44:33.2602897Z + sudo modprobe backlight 2025-12-04T09:44:33.4192631Z + sudo curl -fsL -o /tmp/nvidia_driver https://s3.amazonaws.com/ossci-linux/nvidia_driver/NVIDIA-Linux-x86_64-525.105.17.run 2025-12-04T09:44:37.8106265Z + set +e 2025-12-04T09:44:37.8106649Z + sudo /bin/bash /tmp/nvidia_driver -s --no-drm 2025-12-04T09:44:39.3308943Z Verifying archive integrity... OK 2025-12-04T09:45:06.4962838Z Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 525.105.17................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 2025-12-04T09:45:07.0555609Z 2025-12-04T09:45:07.0556494Z WARNING: The nvidia-drm module will not be installed. As a result, DRM-KMS will not function with this installation of the NVIDIA driver. 2025-12-04T09:45:07.0557221Z 2025-12-04T09:45:32.0544187Z 2025-12-04T09:45:32.0546136Z WARNING: nvidia-installer was forced to guess the X library path '/usr/lib64' and X module path '/usr/lib64/xorg/modules'; these paths were not queryable from the system. If X fails to find the NVIDIA X driver module, please install the `pkg-config` utility and the X.Org SDK/development package for your distribution and reinstall the driver. 2025-12-04T09:45:32.0547776Z 2025-12-04T09:45:32.0561954Z 2025-12-04T09:45:32.0563709Z WARNING: This NVIDIA driver package includes Vulkan components, but no Vulkan ICD loader was detected on this system. The NVIDIA Vulkan ICD will not function without the loader. Most distributions package the Vulkan loader; try installing the "vulkan-loader", "vulkan-icd-loader", or "libvulkan1" package. 2025-12-04T09:45:32.0565252Z 2025-12-04T09:45:43.3691368Z + NVIDIA_INSTALLATION_STATUS=0 2025-12-04T09:45:43.3691757Z + RESET_GPU=0 2025-12-04T09:45:43.3692023Z + '[' 0 -ne 0 ']' 2025-12-04T09:45:43.3692864Z ++ command -v nvidia-smi 2025-12-04T09:45:43.3695291Z + '[' -x /usr/bin/nvidia-smi ']' 2025-12-04T09:45:43.3698958Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-12-04T09:45:45.9360318Z + INSTALLED_DRIVER_VERSION=525.105.17 2025-12-04T09:45:45.9360766Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:45:45.9361038Z + '[' 0 -ne 0 ']' 2025-12-04T09:45:45.9361289Z + '[' 0 -eq 1 ']' 2025-12-04T09:45:45.9361561Z + sudo rm -fv /tmp/nvidia_driver 2025-12-04T09:45:46.1112593Z removed '/tmp/nvidia_driver' 2025-12-04T09:45:46.1128378Z + set -e 2025-12-04T09:45:46.1131004Z + post_install_nvidia_driver_common 2025-12-04T09:45:46.1134416Z + sudo modprobe nvidia 2025-12-04T09:45:46.3076260Z + echo 'After installing NVIDIA driver' 2025-12-04T09:45:46.3076649Z + lspci 2025-12-04T09:45:46.3076907Z After installing NVIDIA driver 2025-12-04T09:45:46.3209760Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-12-04T09:45:46.3210362Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-12-04T09:45:46.3211099Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-12-04T09:45:46.3211755Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-12-04T09:45:46.3212596Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-12-04T09:45:46.3213255Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-12-04T09:45:46.3213875Z 00:1e.0 3D controller: NVIDIA Corporation TU104GL [Tesla T4] (rev a1) 2025-12-04T09:45:46.3214492Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-12-04T09:45:46.3214993Z + lsmod 2025-12-04T09:45:46.3238589Z Module Size Used by 2025-12-04T09:45:46.3238957Z nvidia 56537088 0 2025-12-04T09:45:46.3239257Z drm 602112 1 nvidia 2025-12-04T09:45:46.3239634Z drm_panel_orientation_quirks 32768 1 drm 2025-12-04T09:45:46.3240012Z backlight 24576 1 drm 2025-12-04T09:45:46.3240359Z i2c_core 110592 2 nvidia,drm 2025-12-04T09:45:46.3240696Z xt_conntrack 16384 1 2025-12-04T09:45:46.3241021Z nft_chain_nat 16384 3 2025-12-04T09:45:46.3241336Z xt_MASQUERADE 20480 1 2025-12-04T09:45:46.3241687Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-12-04T09:45:46.3242085Z nf_conntrack_netlink 57344 0 2025-12-04T09:45:46.3242567Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-12-04T09:45:46.3243100Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-12-04T09:45:46.3243625Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-12-04T09:45:46.3243981Z xfrm_user 57344 1 2025-12-04T09:45:46.3244299Z xfrm_algo 16384 1 xfrm_user 2025-12-04T09:45:46.3244633Z xt_addrtype 16384 2 2025-12-04T09:45:46.3244942Z nft_compat 20480 4 2025-12-04T09:45:46.3245306Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-12-04T09:45:46.3245799Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-12-04T09:45:46.3246258Z br_netfilter 36864 0 2025-12-04T09:45:46.3246583Z bridge 323584 1 br_netfilter 2025-12-04T09:45:46.3246939Z stp 16384 1 bridge 2025-12-04T09:45:46.3247275Z llc 16384 2 bridge,stp 2025-12-04T09:45:46.3247613Z overlay 167936 0 2025-12-04T09:45:46.3247910Z tls 139264 0 2025-12-04T09:45:46.3248193Z nls_ascii 16384 1 2025-12-04T09:45:46.3248492Z nls_cp437 20480 1 2025-12-04T09:45:46.3248793Z vfat 24576 1 2025-12-04T09:45:46.3249082Z fat 86016 1 vfat 2025-12-04T09:45:46.3249402Z sunrpc 700416 1 2025-12-04T09:45:46.3249696Z i8042 45056 0 2025-12-04T09:45:46.3249974Z ena 184320 0 2025-12-04T09:45:46.3250277Z serio 28672 3 i8042 2025-12-04T09:45:46.3250604Z skx_edac_common 28672 0 2025-12-04T09:45:46.3250998Z ghash_clmulni_intel 16384 0 2025-12-04T09:45:46.3251421Z button 24576 0 2025-12-04T09:45:46.3251755Z sch_fq_codel 20480 17 2025-12-04T09:45:46.3252064Z dm_mod 188416 0 2025-12-04T09:45:46.3252350Z fuse 184320 1 2025-12-04T09:45:46.3252644Z configfs 57344 1 2025-12-04T09:45:46.3252945Z loop 36864 0 2025-12-04T09:45:46.3253228Z dmi_sysfs 20480 0 2025-12-04T09:45:46.3253529Z crc32_pclmul 16384 0 2025-12-04T09:45:46.3253830Z crc32c_intel 24576 0 2025-12-04T09:45:46.3254122Z efivarfs 24576 1 2025-12-04T09:45:46.3254424Z + modinfo nvidia 2025-12-04T09:45:46.3254909Z filename: /lib/modules/6.1.150-174.273.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-12-04T09:45:46.3255498Z firmware: nvidia/525.105.17/gsp_tu10x.bin 2025-12-04T09:45:46.3255897Z firmware: nvidia/525.105.17/gsp_ad10x.bin 2025-12-04T09:45:46.3256282Z alias: char-major-195-* 2025-12-04T09:45:46.3256606Z version: 525.105.17 2025-12-04T09:45:46.3256889Z supported: external 2025-12-04T09:45:46.3257174Z license: NVIDIA 2025-12-04T09:45:46.3257463Z srcversion: 98F82D76E0EF3952EEE57A7 2025-12-04T09:45:46.3257983Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-12-04T09:45:46.3258395Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-12-04T09:45:46.3258801Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-12-04T09:45:46.3259167Z depends: i2c-core,drm 2025-12-04T09:45:46.3259476Z retpoline: Y 2025-12-04T09:45:46.3259736Z name: nvidia 2025-12-04T09:45:46.3260170Z vermagic: 6.1.150-174.273.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-12-04T09:45:46.3260727Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-12-04T09:45:46.3261378Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-12-04T09:45:46.3261895Z parm: NVreg_ResmanDebugLevel:int 2025-12-04T09:45:46.3262254Z parm: NVreg_RmLogonRC:int 2025-12-04T09:45:46.3262617Z parm: NVreg_ModifyDeviceFiles:int 2025-12-04T09:45:46.3262998Z parm: NVreg_DeviceFileUID:int 2025-12-04T09:45:46.3263352Z parm: NVreg_DeviceFileGID:int 2025-12-04T09:45:46.3263720Z parm: NVreg_DeviceFileMode:int 2025-12-04T09:45:46.3264149Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-12-04T09:45:46.3264608Z parm: NVreg_UsePageAttributeTable:int 2025-12-04T09:45:46.3264995Z parm: NVreg_EnablePCIeGen3:int 2025-12-04T09:45:46.3265440Z parm: NVreg_EnableMSI:int 2025-12-04T09:45:46.3265789Z parm: NVreg_TCEBypassMode:int 2025-12-04T09:45:46.3266154Z parm: NVreg_EnableStreamMemOPs:int 2025-12-04T09:45:46.3266605Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-12-04T09:45:46.3267076Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-12-04T09:45:46.3267522Z parm: NVreg_EnableS0ixPowerManagement:int 2025-12-04T09:45:46.3268013Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-12-04T09:45:46.3268506Z parm: NVreg_DynamicPowerManagement:int 2025-12-04T09:45:46.3268993Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-12-04T09:45:46.3269490Z parm: NVreg_EnableGpuFirmware:int 2025-12-04T09:45:46.3269898Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-12-04T09:45:46.3270329Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-12-04T09:45:46.3270778Z parm: NVreg_EnableUserNUMAManagement:int 2025-12-04T09:45:46.3271196Z parm: NVreg_MemoryPoolSize:int 2025-12-04T09:45:46.3271585Z parm: NVreg_KMallocHeapMaxSize:int 2025-12-04T09:45:46.3271976Z parm: NVreg_VMallocHeapMaxSize:int 2025-12-04T09:45:46.3272370Z parm: NVreg_IgnoreMMIOCheck:int 2025-12-04T09:45:46.3272748Z parm: NVreg_NvLinkDisable:int 2025-12-04T09:45:46.3273150Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-12-04T09:45:46.3273591Z parm: NVreg_RegisterPCIDriver:int 2025-12-04T09:45:46.3273985Z parm: NVreg_EnableDbgBreakpoint:int 2025-12-04T09:45:46.3274370Z parm: NVreg_RegistryDwords:charp 2025-12-04T09:45:46.3274779Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-12-04T09:45:46.3275177Z parm: NVreg_RmMsg:charp 2025-12-04T09:45:46.3275525Z parm: NVreg_GpuBlacklist:charp 2025-12-04T09:45:46.3275897Z parm: NVreg_TemporaryFilePath:charp 2025-12-04T09:45:46.3276289Z parm: NVreg_ExcludedGpus:charp 2025-12-04T09:45:46.3276668Z parm: NVreg_DmaRemapPeerMmio:int 2025-12-04T09:45:46.3277030Z parm: rm_firmware_active:charp 2025-12-04T09:45:46.3277372Z + set +e 2025-12-04T09:45:46.3277594Z + nvidia-smi 2025-12-04T09:45:48.2759850Z Thu Dec 4 09:45:48 2025 2025-12-04T09:45:48.2760336Z +-----------------------------------------------------------------------------+ 2025-12-04T09:45:48.2760934Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T09:45:48.2761494Z |-------------------------------+----------------------+----------------------+ 2025-12-04T09:45:48.2762077Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:45:48.2763032Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:45:48.2763526Z | | | MIG M. | 2025-12-04T09:45:48.2763923Z |===============================+======================+======================| 2025-12-04T09:45:48.2839946Z | 0 Tesla T4 Off | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:45:48.2840724Z | N/A 26C P0 26W / 70W | 2MiB / 15360MiB | 4% Default | 2025-12-04T09:45:48.2841167Z | | | N/A | 2025-12-04T09:45:48.2841624Z +-------------------------------+----------------------+----------------------+ 2025-12-04T09:45:48.2842069Z 2025-12-04T09:45:48.2842524Z +-----------------------------------------------------------------------------+ 2025-12-04T09:45:48.2843201Z | Processes: | 2025-12-04T09:45:48.2843708Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:45:48.2844181Z | ID ID Usage | 2025-12-04T09:45:48.2844767Z |=============================================================================| 2025-12-04T09:45:48.2845278Z | No running processes found | 2025-12-04T09:45:48.2845821Z +-----------------------------------------------------------------------------+ 2025-12-04T09:45:48.7359307Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T09:45:50.6852856Z Tesla T4 2025-12-04T09:45:51.0622057Z + NVIDIA_SMI_STATUS=0 2025-12-04T09:45:51.0622405Z + '[' 0 -eq 0 ']' 2025-12-04T09:45:51.0622701Z + echo 'INFO: Ignoring allowed status 0' 2025-12-04T09:45:51.0623055Z + set -e 2025-12-04T09:45:51.0623325Z INFO: Ignoring allowed status 0 2025-12-04T09:45:51.0629092Z == Installing nvidia container toolkit for amzn2023 == 2025-12-04T09:45:51.0632946Z + sudo yum install -y yum-utils 2025-12-04T09:45:51.5537618Z Last metadata expiration check: 0:09:20 ago on Thu Dec 4 09:36:31 2025. 2025-12-04T09:45:51.5848618Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-12-04T09:45:51.6444750Z Dependencies resolved. 2025-12-04T09:45:51.6775303Z Nothing to do. 2025-12-04T09:45:51.6775814Z Complete! 2025-12-04T09:45:51.7694589Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-12-04T09:45:51.7695300Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:45:51.7696358Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:45:52.1532280Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-12-04T09:45:52.2015616Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8 2025-12-04T09:45:52.8125228Z nvidia-container-toolkit 22 kB/s | 833 B 00:00 2025-12-04T09:45:52.9092485Z Dependencies resolved. 2025-12-04T09:45:52.9400385Z ================================================================================ 2025-12-04T09:45:52.9400924Z Package Arch Version Repository Size 2025-12-04T09:45:52.9401373Z ================================================================================ 2025-12-04T09:45:52.9401743Z Downgrading: 2025-12-04T09:45:52.9402187Z libnvidia-container-tools x86_64 1.17.8-1 nvidia-container-toolkit 40 k 2025-12-04T09:45:52.9402871Z libnvidia-container1 x86_64 1.17.8-1 nvidia-container-toolkit 1.0 M 2025-12-04T09:45:52.9403551Z nvidia-container-toolkit x86_64 1.17.8-1 nvidia-container-toolkit 1.2 M 2025-12-04T09:45:52.9404676Z nvidia-container-toolkit-base x86_64 1.17.8-1 nvidia-container-toolkit 5.8 M 2025-12-04T09:45:52.9405120Z 2025-12-04T09:45:52.9405241Z Transaction Summary 2025-12-04T09:45:52.9405526Z ================================================================================ 2025-12-04T09:45:52.9405907Z Downgrade 4 Packages 2025-12-04T09:45:52.9406081Z 2025-12-04T09:45:52.9406232Z Total download size: 8.0 M 2025-12-04T09:45:52.9406777Z Downloading Packages: 2025-12-04T09:45:52.9772270Z (1/4): libnvidia-container-tools-1.17.8-1.x86_6 1.1 MB/s | 40 kB 00:00 2025-12-04T09:45:53.0402530Z (2/4): nvidia-container-toolkit-1.17.8-1.x86_64 13 MB/s | 1.2 MB 00:00 2025-12-04T09:45:53.0861331Z (3/4): libnvidia-container1-1.17.8-1.x86_64.rpm 6.8 MB/s | 1.0 MB 00:00 2025-12-04T09:45:53.2307224Z (4/4): nvidia-container-toolkit-base-1.17.8-1.x 23 MB/s | 5.8 MB 00:00 2025-12-04T09:45:53.2315553Z -------------------------------------------------------------------------------- 2025-12-04T09:45:53.2318672Z Total 28 MB/s | 8.0 MB 00:00 2025-12-04T09:45:53.2321458Z Running transaction check 2025-12-04T09:45:53.2471028Z Transaction check succeeded. 2025-12-04T09:45:53.2471567Z Running transaction test 2025-12-04T09:45:53.2999875Z Transaction test succeeded. 2025-12-04T09:45:53.3002013Z Running transaction 2025-12-04T09:45:54.2993284Z Preparing : 1/1 2025-12-04T09:45:54.4510932Z Downgrading : nvidia-container-toolkit-base-1.17.8-1.x86_64 1/8 2025-12-04T09:45:54.4843127Z Downgrading : libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:45:54.5476859Z Running scriptlet: libnvidia-container1-1.17.8-1.x86_64 2/8 2025-12-04T09:45:54.6991106Z Downgrading : libnvidia-container-tools-1.17.8-1.x86_64 3/8 2025-12-04T09:45:54.7299322Z Downgrading : nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:45:54.8082408Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 4/8 2025-12-04T09:45:54.8134948Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:45:54.8135996Z Cleanup : nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:45:54.8461912Z Running scriptlet: nvidia-container-toolkit-1.18.1-1.x86_64 5/8 2025-12-04T09:45:54.8509904Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:45:54.8511002Z Cleanup : libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:45:54.8832259Z Running scriptlet: libnvidia-container-tools-1.18.1-1.x86_64 6/8 2025-12-04T09:45:54.8883421Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:45:54.8884604Z Cleanup : libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:45:54.9248231Z Running scriptlet: libnvidia-container1-1.18.1-1.x86_64 7/8 2025-12-04T09:45:54.9299012Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:45:54.9300562Z Cleanup : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:45:54.9574626Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:45:55.0095241Z Running scriptlet: nvidia-container-toolkit-1.17.8-1.x86_64 8/8 2025-12-04T09:45:56.5235073Z Running scriptlet: nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8 2025-12-04T09:45:56.5236460Z Verifying : libnvidia-container-tools-1.17.8-1.x86_64 1/8 2025-12-04T09:45:56.5237707Z Verifying : libnvidia-container-tools-1.18.1-1.x86_64 2/8 2025-12-04T09:45:56.5238697Z Verifying : libnvidia-container1-1.17.8-1.x86_64 3/8 2025-12-04T09:45:56.5239787Z Verifying : libnvidia-container1-1.18.1-1.x86_64 4/8 2025-12-04T09:45:56.5241356Z Verifying : nvidia-container-toolkit-1.17.8-1.x86_64 5/8 2025-12-04T09:45:56.5242592Z Verifying : nvidia-container-toolkit-1.18.1-1.x86_64 6/8 2025-12-04T09:45:56.5243833Z Verifying : nvidia-container-toolkit-base-1.17.8-1.x86_64 7/8 2025-12-04T09:45:56.6797282Z Verifying : nvidia-container-toolkit-base-1.18.1-1.x86_64 8/8================================================================================ 2025-12-04T09:45:56.6798612Z WARNING: 2025-12-04T09:45:56.6799097Z A newer release of "Amazon Linux" is available. 2025-12-04T09:45:56.6799626Z 2025-12-04T09:45:56.6799811Z Available Versions: 2025-12-04T09:45:56.6800123Z 2025-12-04T09:45:56.6800312Z Version 2023.9.20250929: 2025-12-04T09:45:56.6800948Z Run the following command to upgrade to 2023.9.20250929: 2025-12-04T09:45:56.6801531Z 2025-12-04T09:45:56.6801799Z dnf upgrade --releasever=2023.9.20250929 2025-12-04T09:45:56.6802276Z 2025-12-04T09:45:56.6802464Z Release notes: 2025-12-04T09:45:56.6803353Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20250929.html 2025-12-04T09:45:56.6804210Z 2025-12-04T09:45:56.6804396Z Version 2023.9.20251014: 2025-12-04T09:45:56.6805557Z Run the following command to upgrade to 2023.9.20251014: 2025-12-04T09:45:56.6806120Z 2025-12-04T09:45:56.6806355Z dnf upgrade --releasever=2023.9.20251014 2025-12-04T09:45:56.6806742Z 2025-12-04T09:45:56.6806915Z Release notes: 2025-12-04T09:45:56.6807711Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251014.html 2025-12-04T09:45:56.6808428Z 2025-12-04T09:45:56.6808580Z Version 2023.9.20251020: 2025-12-04T09:45:56.6809136Z Run the following command to upgrade to 2023.9.20251020: 2025-12-04T09:45:56.6809625Z 2025-12-04T09:45:56.6809830Z dnf upgrade --releasever=2023.9.20251020 2025-12-04T09:45:56.6810254Z 2025-12-04T09:45:56.6810402Z Release notes: 2025-12-04T09:45:56.6811246Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251020.html 2025-12-04T09:45:56.6811937Z 2025-12-04T09:45:56.6812107Z Version 2023.9.20251027: 2025-12-04T09:45:56.6812713Z Run the following command to upgrade to 2023.9.20251027: 2025-12-04T09:45:56.6813256Z 2025-12-04T09:45:56.6813493Z dnf upgrade --releasever=2023.9.20251027 2025-12-04T09:45:56.6813887Z 2025-12-04T09:45:56.6814061Z Release notes: 2025-12-04T09:45:56.6814789Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251027.html 2025-12-04T09:45:56.6815524Z 2025-12-04T09:45:56.6815686Z Version 2023.9.20251105: 2025-12-04T09:45:56.6816289Z Run the following command to upgrade to 2023.9.20251105: 2025-12-04T09:45:56.6816849Z 2025-12-04T09:45:56.6817093Z dnf upgrade --releasever=2023.9.20251105 2025-12-04T09:45:56.6817562Z 2025-12-04T09:45:56.6817735Z Release notes: 2025-12-04T09:45:56.6818654Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251105.html 2025-12-04T09:45:56.6819485Z 2025-12-04T09:45:56.6819675Z Version 2023.9.20251110: 2025-12-04T09:45:56.6820371Z Run the following command to upgrade to 2023.9.20251110: 2025-12-04T09:45:56.6820991Z 2025-12-04T09:45:56.6821228Z dnf upgrade --releasever=2023.9.20251110 2025-12-04T09:45:56.6821742Z 2025-12-04T09:45:56.6821970Z Release notes: 2025-12-04T09:45:56.6822864Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251110.html 2025-12-04T09:45:56.6823791Z 2025-12-04T09:45:56.6824024Z Version 2023.9.20251117: 2025-12-04T09:45:56.6824701Z Run the following command to upgrade to 2023.9.20251117: 2025-12-04T09:45:56.6825296Z 2025-12-04T09:45:56.6825546Z dnf upgrade --releasever=2023.9.20251117 2025-12-04T09:45:56.6826067Z 2025-12-04T09:45:56.6826313Z Release notes: 2025-12-04T09:45:56.6827172Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.9.20251117.html 2025-12-04T09:45:56.6828349Z 2025-12-04T09:45:56.6828572Z ================================================================================ 2025-12-04T09:45:56.7437524Z 2025-12-04T09:45:56.7437790Z 2025-12-04T09:45:56.7437936Z Downgraded: 2025-12-04T09:45:56.7438614Z libnvidia-container-tools-1.17.8-1.x86_64 2025-12-04T09:45:56.7439621Z libnvidia-container1-1.17.8-1.x86_64 2025-12-04T09:45:56.7440670Z nvidia-container-toolkit-1.17.8-1.x86_64 2025-12-04T09:45:56.7441847Z nvidia-container-toolkit-base-1.17.8-1.x86_64 2025-12-04T09:45:56.7442612Z 2025-12-04T09:45:56.7442802Z Complete! 2025-12-04T09:45:56.7981420Z + sudo systemctl restart docker 2025-12-04T09:46:02.6512510Z Thu Dec 4 09:46:02 2025 2025-12-04T09:46:02.6512999Z +-----------------------------------------------------------------------------+ 2025-12-04T09:46:02.6513626Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T09:46:02.6514188Z |-------------------------------+----------------------+----------------------+ 2025-12-04T09:46:02.6514765Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:46:02.6515746Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:46:02.6516267Z | | | MIG M. | 2025-12-04T09:46:02.6516651Z |===============================+======================+======================| 2025-12-04T09:46:02.6611650Z | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:46:02.6612161Z | N/A 26C P0 26W / 70W | 2MiB / 15360MiB | 8% Default | 2025-12-04T09:46:02.6612598Z | | | N/A | 2025-12-04T09:46:02.6613055Z +-------------------------------+----------------------+----------------------+ 2025-12-04T09:46:02.6613531Z 2025-12-04T09:46:02.6613969Z +-----------------------------------------------------------------------------+ 2025-12-04T09:46:02.6614447Z | Processes: | 2025-12-04T09:46:02.6614958Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:46:02.6615426Z | ID ID Usage | 2025-12-04T09:46:02.6615825Z |=============================================================================| 2025-12-04T09:46:02.6616312Z | No running processes found | 2025-12-04T09:46:02.6616855Z +-----------------------------------------------------------------------------+ 2025-12-04T09:46:02.7346535Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-12-04T09:46:02.9503557Z 3.13: Pulling from docker/library/python 2025-12-04T09:46:03.0370382Z 53c88f1dfeb7: Pulling fs layer 2025-12-04T09:46:03.0370888Z eae668646f44: Pulling fs layer 2025-12-04T09:46:03.0371213Z ff2e6e687b6c: Pulling fs layer 2025-12-04T09:46:03.0371534Z 7c40a3faff76: Pulling fs layer 2025-12-04T09:46:03.0371840Z 967a3b1c8fef: Pulling fs layer 2025-12-04T09:46:03.0372189Z a64e1a44f22a: Pulling fs layer 2025-12-04T09:46:03.0372501Z 52655f8a5bcc: Pulling fs layer 2025-12-04T09:46:03.0372793Z 7c40a3faff76: Waiting 2025-12-04T09:46:03.0373065Z a64e1a44f22a: Waiting 2025-12-04T09:46:03.0373332Z 967a3b1c8fef: Waiting 2025-12-04T09:46:03.0373585Z 52655f8a5bcc: Waiting 2025-12-04T09:46:03.1870758Z eae668646f44: Verifying Checksum 2025-12-04T09:46:03.1871296Z eae668646f44: Download complete 2025-12-04T09:46:03.3239804Z 53c88f1dfeb7: Verifying Checksum 2025-12-04T09:46:03.3240212Z 53c88f1dfeb7: Download complete 2025-12-04T09:46:03.3950788Z ff2e6e687b6c: Download complete 2025-12-04T09:46:03.4163112Z 967a3b1c8fef: Verifying Checksum 2025-12-04T09:46:03.4163537Z 967a3b1c8fef: Download complete 2025-12-04T09:46:03.4643508Z 52655f8a5bcc: Download complete 2025-12-04T09:46:03.6012810Z a64e1a44f22a: Verifying Checksum 2025-12-04T09:46:03.6013234Z a64e1a44f22a: Download complete 2025-12-04T09:46:04.3736691Z 7c40a3faff76: Verifying Checksum 2025-12-04T09:46:04.3737154Z 7c40a3faff76: Download complete 2025-12-04T09:46:04.7996347Z 53c88f1dfeb7: Pull complete 2025-12-04T09:46:05.3920216Z eae668646f44: Pull complete 2025-12-04T09:46:07.3585783Z ff2e6e687b6c: Pull complete 2025-12-04T09:46:13.1204222Z 7c40a3faff76: Pull complete 2025-12-04T09:46:13.3509878Z 967a3b1c8fef: Pull complete 2025-12-04T09:46:14.0151100Z a64e1a44f22a: Pull complete 2025-12-04T09:46:14.0359770Z 52655f8a5bcc: Pull complete 2025-12-04T09:46:14.0489519Z Digest: sha256:3f986299a7b8b44b0d8cf9bda2b22361ce5c3058ef5d7cb17fb7452506680ab0 2025-12-04T09:46:14.0529821Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-12-04T09:46:21.2088837Z Thu Dec 4 09:46:21 2025 2025-12-04T09:46:21.2089337Z +-----------------------------------------------------------------------------+ 2025-12-04T09:46:21.2089937Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T09:46:21.2090522Z |-------------------------------+----------------------+----------------------+ 2025-12-04T09:46:21.2091452Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T09:46:21.2092106Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T09:46:21.2092616Z | | | MIG M. | 2025-12-04T09:46:21.2093021Z |===============================+======================+======================| 2025-12-04T09:46:21.2241759Z | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | 2025-12-04T09:46:21.2242503Z | N/A 25C P8 10W / 70W | 2MiB / 15360MiB | 0% Default | 2025-12-04T09:46:21.2243071Z | | | N/A | 2025-12-04T09:46:21.2243535Z +-------------------------------+----------------------+----------------------+ 2025-12-04T09:46:21.2244013Z 2025-12-04T09:46:21.2244484Z +-----------------------------------------------------------------------------+ 2025-12-04T09:46:21.2244978Z | Processes: | 2025-12-04T09:46:21.2245539Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T09:46:21.2246037Z | ID ID Usage | 2025-12-04T09:46:21.2246514Z |=============================================================================| 2025-12-04T09:46:21.2247017Z | No running processes found | 2025-12-04T09:46:21.2247591Z +-----------------------------------------------------------------------------+ 2025-12-04T09:46:22.1549530Z Command completed after 1 attempt(s). 2025-12-04T09:46:22.1647391Z Prepare all required actions 2025-12-04T09:46:22.1681832Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-12-04T09:46:22.1682283Z with: 2025-12-04T09:46:22.1682965Z github-token: *** 2025-12-04T09:46:22.1683242Z env: 2025-12-04T09:46:22.1683481Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:22.1683795Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:22.1684163Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:22.1684586Z ##[endgroup] 2025-12-04T09:46:22.1700895Z ##[group]Run set -eux 2025-12-04T09:46:22.1701188Z set -eux 2025-12-04T09:46:22.1701711Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-12-04T09:46:22.1713584Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:22.1714014Z env: 2025-12-04T09:46:22.1714416Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:22.1714730Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:22.1715131Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:22.1715734Z GITHUB_TOKEN: *** 2025-12-04T09:46:22.1715995Z ##[endgroup] 2025-12-04T09:46:22.1753184Z + python3 .github/scripts/get_workflow_job_id.py 19922826259 i-06b3a5aa3e9d3b7c1 2025-12-04T09:46:25.0482446Z Setting output job-id=57119749297 2025-12-04T09:46:25.0483409Z Setting output job-name=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T09:46:25.0613099Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:46:25.0613995Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-12-04T09:46:25.0615152Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-12-04T09:46:25.0616194Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-12-04T09:46:25.0624950Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:25.0625399Z env: 2025-12-04T09:46:25.0625655Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:25.0625958Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:25.0626329Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:25.0626756Z JOB_ID: 57119749297 2025-12-04T09:46:25.0627530Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T09:46:25.0628336Z WORKFLOW_NAME: periodic 2025-12-04T09:46:25.0628640Z WORKFLOW_RUN_ID: 19922826259 2025-12-04T09:46:25.0628965Z MONITOR_LOG_INTERVAL: 5 2025-12-04T09:46:25.0629284Z MONITOR_DATA_COLLECT_INTERVAL: 1 2025-12-04T09:46:25.0629605Z ##[endgroup] 2025-12-04T09:46:25.3834154Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:46:25.7905362Z Collecting psutil==5.9.8 2025-12-04T09:46:25.8068934Z Downloading psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288 kB) 2025-12-04T09:46:25.8866035Z Collecting dataclasses_json==0.6.7 2025-12-04T09:46:25.8899116Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-12-04T09:46:25.9199017Z Collecting nvidia-ml-py==11.525.84 2025-12-04T09:46:25.9236445Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-12-04T09:46:25.9587741Z Collecting typing-inspect<1,>=0.4.0 2025-12-04T09:46:25.9624633Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-12-04T09:46:26.0820208Z Collecting marshmallow<4.0.0,>=3.18.0 2025-12-04T09:46:26.0855888Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-12-04T09:46:26.1481790Z Collecting packaging>=17.0 2025-12-04T09:46:26.1516467Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-12-04T09:46:26.1770722Z Collecting mypy-extensions>=0.3.0 2025-12-04T09:46:26.1804740Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-12-04T09:46:26.2337348Z Collecting typing-extensions>=3.7.4 2025-12-04T09:46:26.2373346Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-12-04T09:46:26.3397476Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-12-04T09:46:26.6489373Z Successfully installed dataclasses-json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 nvidia-ml-py-11.525.84 packaging-25.0 psutil-5.9.8 typing-extensions-4.15.0 typing-inspect-0.9.0 2025-12-04T09:46:26.8514265Z Prepare all required actions 2025-12-04T09:46:26.8514726Z Getting action download info 2025-12-04T09:46:27.0736143Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-12-04T09:46:27.3087920Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-12-04T09:46:27.6858614Z ##[group]Run ./.github/actions/download-build-artifacts 2025-12-04T09:46:27.6859036Z with: 2025-12-04T09:46:27.6859325Z name: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:46:27.6859706Z s3-bucket: gha-artifacts 2025-12-04T09:46:27.6859988Z env: 2025-12-04T09:46:27.6860227Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:27.6860534Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:27.6860883Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:27.6861299Z ##[endgroup] 2025-12-04T09:46:27.6893471Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:46:27.6893870Z with: 2025-12-04T09:46:27.6894208Z name: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:46:27.6894585Z s3-bucket: gha-artifacts 2025-12-04T09:46:27.6894900Z region: us-east-1 2025-12-04T09:46:27.6895166Z env: 2025-12-04T09:46:27.6895395Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:27.6895708Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:27.6896076Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:27.6896499Z ##[endgroup] 2025-12-04T09:46:28.2279613Z (node:68217) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:46:28.2280218Z 2025-12-04T09:46:28.2280457Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:46:28.2281082Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:46:28.2281743Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:46:28.5149791Z Found 1 objects with prefix pytorch/pytorch/19922826259/linux-jammy-cuda12.4-py3.10-gcc11/ 2025-12-04T09:46:28.5150699Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-12-04T09:46:35.2451792Z Finished download (1/1): 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2025-12-04T09:46:46.6360869Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:46.6361393Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:46.6361926Z ##[endgroup] 2025-12-04T09:46:46.7988891Z ##[group]Run df -H 2025-12-04T09:46:46.7989169Z df -H 2025-12-04T09:46:46.7995367Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:46.7995807Z env: 2025-12-04T09:46:46.7996051Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:46.7996492Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:46.7996852Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:46.7997269Z ##[endgroup] 2025-12-04T09:46:46.8042358Z Filesystem Size Used Avail Use% Mounted on 2025-12-04T09:46:46.8042823Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-12-04T09:46:46.8043210Z tmpfs 34G 0 34G 0% /dev/shm 2025-12-04T09:46:46.8043608Z tmpfs 14G 562k 14G 1% /run 2025-12-04T09:46:46.8043987Z /dev/nvme0n1p1 161G 51G 111G 32% / 2025-12-04T09:46:46.8044488Z tmpfs 34G 17k 34G 1% /tmp 2025-12-04T09:46:46.8044936Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-12-04T09:46:46.8045357Z tmpfs 6.7G 0 6.7G 0% /run/user/0 2025-12-04T09:46:46.8082770Z Prepare all required actions 2025-12-04T09:46:46.8083663Z Getting action download info 2025-12-04T09:46:46.9933093Z ##[group]Run ./.github/actions/download-td-artifacts 2025-12-04T09:46:46.9933504Z with: 2025-12-04T09:46:46.9933751Z env: 2025-12-04T09:46:46.9933980Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:46.9934292Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:46.9934660Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:46.9935068Z ##[endgroup] 2025-12-04T09:46:46.9965437Z ##[group]Run seemethere/download-artifact-s3@v4 2025-12-04T09:46:46.9965837Z with: 2025-12-04T09:46:46.9966081Z name: td_results 2025-12-04T09:46:46.9966348Z s3-bucket: gha-artifacts 2025-12-04T09:46:46.9966661Z region: us-east-1 2025-12-04T09:46:46.9966921Z env: 2025-12-04T09:46:46.9967161Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:46.9967457Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:46.9967821Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:46.9968293Z ##[endgroup] 2025-12-04T09:46:47.5370702Z (node:68241) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-12-04T09:46:47.5371314Z 2025-12-04T09:46:47.5371536Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-12-04T09:46:47.5372208Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-12-04T09:46:47.5372871Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-12-04T09:46:47.6443986Z Found 1 objects with prefix pytorch/pytorch/19922826259/td_results/ 2025-12-04T09:46:47.6444728Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:46:47.7105094Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/td_results.json 2025-12-04T09:46:47.7110920Z Artifact download has finished successfully 2025-12-04T09:46:47.7296955Z ##[group]Run mkdir -p .additional_ci_files 2025-12-04T09:46:47.7297407Z mkdir -p .additional_ci_files 2025-12-04T09:46:47.7297919Z mv td_results.json .additional_ci_files/td_results.json || true 2025-12-04T09:46:47.7305167Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:47.7305620Z env: 2025-12-04T09:46:47.7305874Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:47.7306187Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:47.7306540Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:47.7306967Z ##[endgroup] 2025-12-04T09:46:47.7412229Z ##[group]Run .github/scripts/parse_ref.py 2025-12-04T09:46:47.7412693Z .github/scripts/parse_ref.py 2025-12-04T09:46:47.7418810Z shell: /usr/bin/bash -e {0} 2025-12-04T09:46:47.7419114Z env: 2025-12-04T09:46:47.7419365Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:47.7419681Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:47.7420037Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:47.7420466Z ##[endgroup] 2025-12-04T09:46:47.7663379Z Setting output branch=main 2025-12-04T09:46:47.7808747Z Prepare all required actions 2025-12-04T09:46:47.7809186Z Getting action download info 2025-12-04T09:46:47.9602218Z ##[group]Run ./.github/actions/filter-test-configs 2025-12-04T09:46:47.9602620Z with: 2025-12-04T09:46:47.9603243Z github-token: *** 2025-12-04T09:46:47.9610517Z test-matrix: {"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]} 2025-12-04T09:46:47.9618379Z job-name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T09:46:47.9619167Z env: 2025-12-04T09:46:47.9619417Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:47.9619717Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:47.9620083Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:47.9620496Z ##[endgroup] 2025-12-04T09:46:47.9659819Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T09:46:47.9660160Z with: 2025-12-04T09:46:47.9660395Z shell: bash 2025-12-04T09:46:47.9660649Z timeout_minutes: 10 2025-12-04T09:46:47.9660922Z max_attempts: 5 2025-12-04T09:46:47.9661176Z retry_wait_seconds: 30 2025-12-04T09:46:47.9662114Z command: set -eux # PyYAML 6.0 doesn't work with MacOS x86 anymore # This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2 python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:46:47.9663122Z polling_interval_seconds: 1 2025-12-04T09:46:47.9663425Z warning_on_retry: true 2025-12-04T09:46:47.9663716Z continue_on_error: false 2025-12-04T09:46:47.9664003Z env: 2025-12-04T09:46:47.9664220Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:47.9664509Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:47.9664872Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:47.9665465Z GITHUB_TOKEN: *** 2025-12-04T09:46:47.9665712Z ##[endgroup] 2025-12-04T09:46:48.0769809Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-12-04T09:46:48.3432369Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T09:46:48.4673639Z Collecting requests==2.27.1 2025-12-04T09:46:48.4836410Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-12-04T09:46:48.6808434Z Collecting pyyaml==6.0.2 2025-12-04T09:46:48.6849883Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-12-04T09:46:49.1464757Z Collecting charset-normalizer~=2.0.0 2025-12-04T09:46:49.1503326Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-12-04T09:46:49.1563229Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-12-04T09:46:49.2087758Z Collecting certifi>=2017.4.17 2025-12-04T09:46:49.2123278Z Downloading certifi-2025.11.12-py3-none-any.whl (159 kB) 2025-12-04T09:46:49.2189138Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-12-04T09:46:49.3134208Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-12-04T09:46:49.4483235Z Successfully installed certifi-2025.11.12 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-12-04T09:46:50.0564802Z Command completed after 1 attempt(s). 2025-12-04T09:46:50.0618023Z ##[group]Run set -x 2025-12-04T09:46:50.0618314Z set -x 2025-12-04T09:46:50.0618579Z  2025-12-04T09:46:50.0619044Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:46:50.0619604Z # in runner workspace 2025-12-04T09:46:50.0620053Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-12-04T09:46:50.0627496Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:50.0627948Z env: 2025-12-04T09:46:50.0628184Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:50.0628495Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:50.0628853Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:50.0629254Z ##[endgroup] 2025-12-04T09:46:50.0657391Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-12-04T09:46:50.0862382Z Setting output branch=main 2025-12-04T09:46:50.0917495Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:46:50.0917982Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-12-04T09:46:50.0918378Z echo "Job name: ${JOB_NAME}" 2025-12-04T09:46:50.0918727Z  2025-12-04T09:46:50.0919166Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-12-04T09:46:50.0919720Z # in runner workspace 2025-12-04T09:46:50.0920222Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-12-04T09:46:50.0920794Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-12-04T09:46:50.0921182Z  --job-name "${JOB_NAME}" \ 2025-12-04T09:46:50.0928440Z  --test-matrix "{"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}" \ 2025-12-04T09:46:50.0936121Z  --selected-test-configs "" \ 2025-12-04T09:46:50.0936513Z  --pr-number "${PR_NUMBER}" \ 2025-12-04T09:46:50.0936881Z  --tag "${TAG}" \ 2025-12-04T09:46:50.0937226Z  --event-name "${EVENT_NAME}" \ 2025-12-04T09:46:50.0937593Z  --schedule "${SCHEDULE}" \ 2025-12-04T09:46:50.0937956Z  --branch "${HEAD_BRANCH}" 2025-12-04T09:46:50.0944292Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:50.0944724Z env: 2025-12-04T09:46:50.0944977Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:50.0945287Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:50.0945636Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:50.0946312Z GITHUB_TOKEN: *** 2025-12-04T09:46:50.0947037Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T09:46:50.0947821Z PR_NUMBER: 2025-12-04T09:46:50.0948054Z TAG: 2025-12-04T09:46:50.0948299Z EVENT_NAME: schedule 2025-12-04T09:46:50.0948583Z SCHEDULE: 29 8 * * * 2025-12-04T09:46:50.0948852Z HEAD_BRANCH: main 2025-12-04T09:46:50.0949118Z ##[endgroup] 2025-12-04T09:46:50.0974716Z Workflow: periodic 2025-12-04T09:46:50.0975477Z Job name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T09:46:50.2947762Z Setting output keep-going=True 2025-12-04T09:46:50.2948168Z Setting output ci-verbose-test-logs=False 2025-12-04T09:46:50.2948568Z Setting output ci-test-showlocals=False 2025-12-04T09:46:50.2948968Z Setting output ci-no-test-timeout=False 2025-12-04T09:46:50.2949346Z Setting output ci-no-td=False 2025-12-04T09:46:50.2949709Z Setting output ci-td-distributed=False 2025-12-04T09:46:50.2950086Z Setting output is-unstable=True 2025-12-04T09:46:50.2950436Z Setting output reenabled-issues= 2025-12-04T09:46:50.2966351Z Setting output test-matrix={"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]} 2025-12-04T09:46:50.2982445Z Setting output is-test-matrix-empty=False 2025-12-04T09:46:50.3080957Z ##[group]Run echo "Filtered matrix:" 2025-12-04T09:46:50.3081408Z echo "Filtered matrix:" 2025-12-04T09:46:50.3097196Z echo "{"include": [{"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 1, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 2, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 3, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 4, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "mem_leak_check": "mem_leak_check", "unstable": "unstable", "rerun_disabled_tests": "rerun_disabled_tests"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable", "mem_leak_check": "mem_leak_check"}, {"config": "legacy_nvidia_driver", "shard": 5, "num_shards": 5, "runner": "linux.g4dn.4xlarge.nvidia.gpu", "rerun_disabled_tests": "rerun_disabled_tests", "unstable": "unstable"}]}" 2025-12-04T09:46:50.3113262Z  2025-12-04T09:46:50.3113504Z echo 2025-12-04T09:46:50.3113807Z echo "Is the current job unstable? True" 2025-12-04T09:46:50.3114185Z  2025-12-04T09:46:50.3114418Z echo 2025-12-04T09:46:50.3114709Z echo "Is keep-going label set? True" 2025-12-04T09:46:50.3115066Z  2025-12-04T09:46:50.3115294Z echo 2025-12-04T09:46:50.3115566Z echo "Reenabled issues? " 2025-12-04T09:46:50.3122168Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:50.3122617Z env: 2025-12-04T09:46:50.3122868Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:50.3123166Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:50.3123528Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:50.3123944Z ##[endgroup] 2025-12-04T09:46:50.3149060Z Filtered matrix: 2025-12-04T09:46:50.3168094Z {include: [{config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 1, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 2, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 3, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 4, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check: mem_leak_check, unstable: unstable, rerun_disabled_tests: rerun_disabled_tests}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable, mem_leak_check: mem_leak_check}, {config: legacy_nvidia_driver, shard: 5, num_shards: 5, runner: linux.g4dn.4xlarge.nvidia.gpu, rerun_disabled_tests: rerun_disabled_tests, unstable: unstable}]} 2025-12-04T09:46:50.3183767Z 2025-12-04T09:46:50.3183896Z Is the current job unstable? True 2025-12-04T09:46:50.3184129Z 2025-12-04T09:46:50.3184270Z Is keep-going label set? True 2025-12-04T09:46:50.3184487Z 2025-12-04T09:46:50.3184594Z Reenabled issues? 2025-12-04T09:46:50.3219338Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:46:50.3219955Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-12-04T09:46:50.3226193Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:50.3226626Z env: 2025-12-04T09:46:50.3226876Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:50.3227187Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:50.3227541Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:50.3227964Z JOB_TIMEOUT: 600 2025-12-04T09:46:50.3228228Z ##[endgroup] 2025-12-04T09:46:50.3279688Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:46:50.3280314Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:46:50.3280852Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-12-04T09:46:50.3286841Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T09:46:50.3287289Z env: 2025-12-04T09:46:50.3287537Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:50.3287846Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:50.3288196Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:50.3288615Z ##[endgroup] 2025-12-04T09:46:50.3390660Z ##[group]Run set -x 2025-12-04T09:46:50.3391036Z set -x 2025-12-04T09:46:50.3391290Z  2025-12-04T09:46:50.3391581Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-12-04T09:46:50.3392028Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-12-04T09:46:50.3392499Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-12-04T09:46:50.3393045Z  TEST_COMMAND=.ci/onnx/test.sh 2025-12-04T09:46:50.3393389Z else 2025-12-04T09:46:50.3393681Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:46:50.3394048Z fi 2025-12-04T09:46:50.3394274Z  2025-12-04T09:46:50.3394582Z # Leaving 1GB for the runner and other things 2025-12-04T09:46:50.3395270Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-12-04T09:46:50.3396300Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-12-04T09:46:50.3397149Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-12-04T09:46:50.3397777Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-12-04T09:46:50.3398267Z  2025-12-04T09:46:50.3398559Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:46:50.3398972Z  SHM_OPTS= 2025-12-04T09:46:50.3399261Z  JENKINS_USER= 2025-12-04T09:46:50.3399659Z  # ensure that docker container cleanly exits in 12 hours 2025-12-04T09:46:50.3400230Z  # if for some reason cleanup action doesn't stop container 2025-12-04T09:46:50.3400699Z  # when job is cancelled 2025-12-04T09:46:50.3401058Z  DOCKER_SHELL_CMD="sleep 12h" 2025-12-04T09:46:50.3401439Z  USED_IMAGE="${DOCKER_IMAGE_S390X}" 2025-12-04T09:46:50.3401805Z else 2025-12-04T09:46:50.3402090Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-12-04T09:46:50.3402476Z  JENKINS_USER="--user jenkins" 2025-12-04T09:46:50.3402843Z  DOCKER_SHELL_CMD= 2025-12-04T09:46:50.3403172Z  USED_IMAGE="${DOCKER_IMAGE}" 2025-12-04T09:46:50.3403502Z fi 2025-12-04T09:46:50.3403735Z  2025-12-04T09:46:50.3404124Z # detached container should get cleaned up by teardown_ec2_linux 2025-12-04T09:46:50.3405012Z # TODO: Stop building test binaries as part of the build phase 2025-12-04T09:46:50.3405738Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-12-04T09:46:50.3406379Z # shellcheck disable=SC2086,SC2090 2025-12-04T09:46:50.3406770Z container_name=$(docker run \ 2025-12-04T09:46:50.3407121Z  ${GPU_FLAG:-} \ 2025-12-04T09:46:50.3407474Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-12-04T09:46:50.3407875Z  -e BUILD_ENVIRONMENT \ 2025-12-04T09:46:50.3408221Z  -e PR_NUMBER \ 2025-12-04T09:46:50.3408532Z  -e GITHUB_ACTIONS \ 2025-12-04T09:46:50.3408870Z  -e GITHUB_REPOSITORY \ 2025-12-04T09:46:50.3409217Z  -e GITHUB_WORKFLOW \ 2025-12-04T09:46:50.3409537Z  -e GITHUB_JOB \ 2025-12-04T09:46:50.3409847Z  -e GITHUB_RUN_ID \ 2025-12-04T09:46:50.3410172Z  -e GITHUB_RUN_NUMBER \ 2025-12-04T09:46:50.3410504Z  -e GITHUB_RUN_ATTEMPT \ 2025-12-04T09:46:50.3410940Z  -e JOB_ID \ 2025-12-04T09:46:50.3411233Z  -e JOB_NAME \ 2025-12-04T09:46:50.3411531Z  -e BASE_SHA \ 2025-12-04T09:46:50.3411814Z  -e BRANCH \ 2025-12-04T09:46:50.3412101Z  -e SHA1 \ 2025-12-04T09:46:50.3412391Z  -e AWS_DEFAULT_REGION \ 2025-12-04T09:46:50.3412719Z  -e IN_WHEEL_TEST \ 2025-12-04T09:46:50.3413049Z  -e SHARD_NUMBER \ 2025-12-04T09:46:50.3413373Z  -e TEST_CONFIG \ 2025-12-04T09:46:50.3413682Z  -e NUM_TEST_SHARDS \ 2025-12-04T09:46:50.3414185Z  -e REENABLED_ISSUES \ 2025-12-04T09:46:50.3414544Z  -e CONTINUE_THROUGH_ERROR \ 2025-12-04T09:46:50.3414898Z  -e VERBOSE_TEST_LOGS \ 2025-12-04T09:46:50.3415242Z  -e TEST_SHOWLOCALS \ 2025-12-04T09:46:50.3415578Z  -e NO_TEST_TIMEOUT \ 2025-12-04T09:46:50.3415898Z  -e NO_TD \ 2025-12-04T09:46:50.3416177Z  -e TD_DISTRIBUTED \ 2025-12-04T09:46:50.3416586Z  -e PR_LABELS \ 2025-12-04T09:46:50.3416930Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-12-04T09:46:50.3417310Z  -e SCCACHE_BUCKET \ 2025-12-04T09:46:50.3417646Z  -e SCCACHE_REGION \ 2025-12-04T09:46:50.3417973Z  -e XLA_CUDA \ 2025-12-04T09:46:50.3418294Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-12-04T09:46:50.3418717Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-12-04T09:46:50.3419152Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-12-04T09:46:50.3419590Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-12-04T09:46:50.3419977Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-12-04T09:46:50.3420361Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-12-04T09:46:50.3420762Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-12-04T09:46:50.3421127Z  -e DASHBOARD_TAG \ 2025-12-04T09:46:50.3421462Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-12-04T09:46:50.3421888Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-12-04T09:46:50.3422369Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-12-04T09:46:50.3422853Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-12-04T09:46:50.3423319Z  --security-opt seccomp=unconfined \ 2025-12-04T09:46:50.3423719Z  --cap-add=SYS_PTRACE \ 2025-12-04T09:46:50.3424050Z  --ipc=host \ 2025-12-04T09:46:50.3424353Z  ${SHM_OPTS} \ 2025-12-04T09:46:50.3424645Z  --tty \ 2025-12-04T09:46:50.3424904Z  --detach \ 2025-12-04T09:46:50.3425220Z  --name="${container_name}" \ 2025-12-04T09:46:50.3425586Z  ${JENKINS_USER} \ 2025-12-04T09:46:50.3425980Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-12-04T09:46:50.3426453Z  -w /var/lib/jenkins/workspace \ 2025-12-04T09:46:50.3426826Z  "${USED_IMAGE}" \ 2025-12-04T09:46:50.3427146Z  ${DOCKER_SHELL_CMD} 2025-12-04T09:46:50.3427446Z ) 2025-12-04T09:46:50.3427830Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-12-04T09:46:50.3428312Z  2025-12-04T09:46:50.3428607Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-12-04T09:46:50.3444004Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-12-04T09:46:50.3444728Z fi 2025-12-04T09:46:50.3444978Z  2025-12-04T09:46:50.3445562Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-12-04T09:46:50.3451939Z shell: /usr/bin/bash -e {0} 2025-12-04T09:46:50.3452256Z env: 2025-12-04T09:46:50.3452504Z GIT_DEFAULT_BRANCH: main 2025-12-04T09:46:50.3452799Z HAS_NVIDIA_GPU: true 2025-12-04T09:46:50.3453165Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:46:50.3453671Z BUILD_ENVIRONMENT: linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:46:50.3454084Z PR_NUMBER: 2025-12-04T09:46:50.3454364Z GITHUB_REPOSITORY: pytorch/pytorch 2025-12-04T09:46:50.3454724Z GITHUB_WORKFLOW: periodic 2025-12-04T09:46:50.3455017Z GITHUB_JOB: test 2025-12-04T09:46:50.3455292Z GITHUB_RUN_ID: 19922826259 2025-12-04T09:46:50.3455604Z GITHUB_RUN_NUMBER: 19107 2025-12-04T09:46:50.3455896Z GITHUB_RUN_ATTEMPT: 1 2025-12-04T09:46:50.3456179Z JOB_ID: 57119749297 2025-12-04T09:46:50.3456897Z JOB_NAME: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T09:46:50.3457798Z BRANCH: main 2025-12-04T09:46:50.3458092Z SHA1: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:46:50.3458548Z BASE_SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:46:50.3458970Z TEST_CONFIG: legacy_nvidia_driver 2025-12-04T09:46:50.3459301Z SHARD_NUMBER: 5 2025-12-04T09:46:50.3459563Z NUM_TEST_SHARDS: 5 2025-12-04T09:46:50.3459836Z EXTRA_FLAGS: 2025-12-04T09:46:50.3460147Z OP_BENCHMARK_TESTS: 2025-12-04T09:46:50.3460431Z REENABLED_ISSUES: 2025-12-04T09:46:50.3460720Z CONTINUE_THROUGH_ERROR: True 2025-12-04T09:46:50.3461054Z VERBOSE_TEST_LOGS: False 2025-12-04T09:46:50.3461347Z TEST_SHOWLOCALS: False 2025-12-04T09:46:50.3461643Z NO_TEST_TIMEOUT: False 2025-12-04T09:46:50.3461925Z NO_TD: False 2025-12-04T09:46:50.3462170Z TD_DISTRIBUTED: False 2025-12-04T09:46:50.3462524Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-12-04T09:46:50.3462947Z SCCACHE_REGION: us-east-1 2025-12-04T09:46:50.3463234Z SHM_SIZE: 2g 2025-12-04T09:46:50.3464162Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:46:50.3465859Z DOCKER_IMAGE_S390X: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:46:50.3466889Z XLA_CUDA: 2025-12-04T09:46:50.3467295Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:46:50.3467831Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 1 2025-12-04T09:46:50.3468206Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-12-04T09:46:50.3468556Z DASHBOARD_TAG: 2025-12-04T09:46:50.3469036Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-12-04T09:46:50.3469517Z HUGGING_FACE_HUB_TOKEN: *** 2025-12-04T09:46:50.3470001Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-12-04T09:46:50.3470617Z ARTIFACTS_FILE_SUFFIX: test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297 2025-12-04T09:46:50.3471235Z ##[endgroup] 2025-12-04T09:46:50.3495820Z + [[ legacy_nvidia_driver == \m\u\l\t\i\g\p\u ]] 2025-12-04T09:46:50.3496291Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *onnx* ]] 2025-12-04T09:46:50.3496718Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-12-04T09:46:50.3499200Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-12-04T09:46:50.3521549Z + TOTAL_AVAILABLE_MEMORY_IN_GB='61.094 ' 2025-12-04T09:46:50.3521980Z + TOTAL_MEMORY_WITH_SWAP=64 2025-12-04T09:46:50.3522368Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:46:50.3522811Z + SHM_OPTS=--shm-size=2g 2025-12-04T09:46:50.3523125Z + JENKINS_USER='--user jenkins' 2025-12-04T09:46:50.3523455Z + DOCKER_SHELL_CMD= 2025-12-04T09:46:50.3524370Z + USED_IMAGE=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:46:50.3530585Z +++ nproc --ignore=2 2025-12-04T09:46:50.3561542Z ++ docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e GITHUB_REPOSITORY -e GITHUB_WORKFLOW -e GITHUB_JOB -e GITHUB_RUN_ID -e GITHUB_RUN_NUMBER -e GITHUB_RUN_ATTEMPT -e JOB_ID -e JOB_NAME -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e REENABLED_ISSUES -e CONTINUE_THROUGH_ERROR -e VERBOSE_TEST_LOGS -e TEST_SHOWLOCALS -e NO_TEST_TIMEOUT -e NO_TD -e TD_DISTRIBUTED -e PR_LABELS -e MAX_JOBS=14 -e SCCACHE_BUCKET -e SCCACHE_REGION -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS -e SKIP_SCCACHE_INITIALIZATION=1 -e HUGGING_FACE_HUB_TOKEN -e VLLM_TEST_HUGGING_FACE_TOKEN -e SCRIBE_GRAPHQL_ACCESS_TOKEN -e DASHBOARD_TAG -e ARTIFACTS_FILE_SUFFIX --memory=61g --memory-swap=64g --env-file=/tmp/github_env_19922826259 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=2g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-cuda12.4-cudnn9-py3-gcc11-f0cd68561080d537ef3d3d6f81b25a6416ad600a 2025-12-04T09:46:59.3753540Z + container_name=2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T09:46:59.3754447Z + echo DOCKER_CONTAINER_ID=2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T09:46:59.3755419Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *\s\3\9\0\x* ]] 2025-12-04T09:46:59.3759255Z ++ echo dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl 2025-12-04T09:46:59.3761806Z + docker exec -t 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 sh -c 'python3 -m pip install dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-12-04T09:46:59.9223158Z Processing ./dist/torch-2.10.0a0+gitffd9b0f-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+gitffd9b0f) 2025-12-04T09:47:00.8000238Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.18.0) 2025-12-04T09:47:00.8006718Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (4.12.2) 2025-12-04T09:47:00.8013936Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.13.3) 2025-12-04T09:47:00.8020992Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2.8.8) 2025-12-04T09:47:00.8026800Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.1.6) 2025-12-04T09:47:00.8034090Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (2025.10.0) 2025-12-04T09:47:00.8051205Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.3.0) 2025-12-04T09:47:00.8484086Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.22.4) 2025-12-04T09:47:00.8508935Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (1.3.0) 2025-12-04T09:47:00.8577257Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+gitffd9b0f->torch==2.10.0a0+gitffd9b0f) (3.0.3) 2025-12-04T09:47:01.2825853Z Installing collected packages: torch 2025-12-04T09:47:13.6330394Z Successfully installed torch-2.10.0a0+gitffd9b0f 2025-12-04T09:47:13.6949911Z + export TERM=vt100 2025-12-04T09:47:13.6950240Z + TERM=vt100 2025-12-04T09:47:13.6952474Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:47:13.6961253Z + source .ci/pytorch/common.sh 2025-12-04T09:47:13.6964755Z +++ dirname .ci/pytorch/common.sh 2025-12-04T09:47:13.6972893Z ++ source .ci/pytorch/common_utils.sh 2025-12-04T09:47:13.6974476Z +++ declare -f -t trap_add 2025-12-04T09:47:13.6980037Z ++ set -ex -o pipefail 2025-12-04T09:47:13.6980410Z ++ [[ linux-jammy-cuda12.4-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:47:13.6980889Z ++ BUILD_TEST_LIBTORCH=0 2025-12-04T09:47:13.6984445Z ++ dirname .ci/pytorch/test.sh 2025-12-04T09:47:13.6992244Z + source .ci/pytorch/common-build.sh 2025-12-04T09:47:13.6994963Z ++ [[ linux-jammy-cuda12.4-py3.10-gcc11 != *win-* ]] 2025-12-04T09:47:13.7001112Z ++++ dirname .ci/pytorch/common-build.sh 2025-12-04T09:47:13.7009995Z +++ cd .ci/pytorch 2025-12-04T09:47:13.7010349Z +++ pwd -P 2025-12-04T09:47:13.7012506Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-12-04T09:47:13.7013266Z ++ [[ linux-jammy-cuda12.4-py3.10-gcc11 == *-pch* ]] 2025-12-04T09:47:13.7014010Z ++ which sccache 2025-12-04T09:47:13.7033853Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-12-04T09:47:13.7034267Z ++ sccache --stop-server 2025-12-04T09:47:13.7060373Z ++ true 2025-12-04T09:47:13.7060833Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-12-04T09:47:13.7070227Z ++ trap_add sccache_epilogue EXIT 2025-12-04T09:47:13.7070827Z ++ trap_add_cmd=sccache_epilogue 2025-12-04T09:47:13.7071291Z ++ shift 2025-12-04T09:47:13.7071541Z ++ for trap_add_name in "$@" 2025-12-04T09:47:13.7077470Z ++++ trap -p EXIT 2025-12-04T09:47:13.7080412Z +++ eval 'extract_trap_cmd ' 2025-12-04T09:47:13.7080966Z ++++ extract_trap_cmd 2025-12-04T09:47:13.7081416Z ++++ printf '%s\n' '' 2025-12-04T09:47:13.7081763Z +++ printf '%s\n' sccache_epilogue 2025-12-04T09:47:13.7082955Z ++ trap -- ' 2025-12-04T09:47:13.7083218Z sccache_epilogue' EXIT 2025-12-04T09:47:13.7083491Z ++ [[ -n 1 ]] 2025-12-04T09:47:13.7083942Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-12-04T09:47:13.7084656Z Skipping sccache server initialization, setting environment variables 2025-12-04T09:47:13.7085173Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:47:13.7085530Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:47:13.7085932Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:47:13.7086443Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:47:13.7092293Z ++ export RUST_LOG=sccache::server=error 2025-12-04T09:47:13.7092721Z ++ RUST_LOG=sccache::server=error 2025-12-04T09:47:13.7093073Z ++ sccache --zero-stats 2025-12-04T09:47:13.8255125Z Statistics zeroed. 2025-12-04T09:47:13.8259878Z ++ which ccache 2025-12-04T09:47:13.8284891Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *rocm* ]] 2025-12-04T09:47:13.8285399Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *s390x* ]] 2025-12-04T09:47:13.8285834Z + [[ -d /var/lib/jenkins/workspace ]] 2025-12-04T09:47:13.8288165Z ++ stat -c %u /var/lib/jenkins/workspace 2025-12-04T09:47:13.8303063Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-12-04T09:47:13.8303443Z + trap_add cleanup_workspace EXIT 2025-12-04T09:47:13.8303790Z + trap_add_cmd=cleanup_workspace 2025-12-04T09:47:13.8304130Z + shift 2025-12-04T09:47:13.8311464Z + for trap_add_name in "$@" 2025-12-04T09:47:13.8311808Z +++ trap -p EXIT 2025-12-04T09:47:13.8313931Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-12-04T09:47:13.8314357Z sccache_epilogue'\'' EXIT' 2025-12-04T09:47:13.8314690Z +++ extract_trap_cmd trap -- ' 2025-12-04T09:47:13.8315002Z sccache_epilogue' EXIT 2025-12-04T09:47:13.8315306Z +++ printf '%s\n' ' 2025-12-04T09:47:13.8315763Z sccache_epilogue' 2025-12-04T09:47:13.8316231Z ++ printf '%s\n' cleanup_workspace 2025-12-04T09:47:13.8317148Z + trap -- ' 2025-12-04T09:47:13.8317544Z sccache_epilogue 2025-12-04T09:47:13.8318004Z cleanup_workspace' EXIT 2025-12-04T09:47:13.8318654Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-12-04T09:47:14.5472859Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-12-04T09:47:14.5491285Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:47:14.5494751Z ++ python -c 'import os;import numba.cuda; print(os.path.dirname(numba.cuda.__file__))' 2025-12-04T09:47:15.0062212Z + NUMBA_CUDA_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:47:15.0062965Z + '[' -n /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ']' 2025-12-04T09:47:15.0067845Z +++ realpath .ci/pytorch/test.sh 2025-12-04T09:47:15.0077718Z ++ dirname /var/lib/jenkins/workspace/.ci/pytorch/test.sh 2025-12-04T09:47:15.0099724Z + NUMBA_PATCH=/var/lib/jenkins/workspace/.ci/pytorch/numba-cuda-13.patch 2025-12-04T09:47:15.0100446Z + pushd /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:47:15.0102332Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda ~/workspace 2025-12-04T09:47:15.0102886Z + patch -p4 2025-12-04T09:47:15.0115359Z patching file cudadrv/driver.py 2025-12-04T09:47:15.0116094Z Hunk #1 succeeded at 357 (offset -8 lines). 2025-12-04T09:47:15.0129123Z + popd 2025-12-04T09:47:15.0129408Z ~/workspace 2025-12-04T09:47:15.0129684Z + echo 'Environment variables:' 2025-12-04T09:47:15.0130040Z Environment variables: 2025-12-04T09:47:15.0130553Z + env 2025-12-04T09:47:15.0138921Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:47:15.0139662Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:47:15.0140210Z BUILD_ENVIRONMENT=linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:47:15.0141095Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:47:15.0141655Z HOSTNAME=2e6b815f7ea3 2025-12-04T09:47:15.0142761Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0143824Z GITHUB_ACTION=__run_3 2025-12-04T09:47:15.0144145Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 2025-12-04T09:47:15.0144509Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:47:15.0144818Z TEST_CONFIG=legacy_nvidia_driver 2025-12-04T09:47:15.0145151Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:47:15.0145534Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:47:15.0145901Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:47:15.0146540Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:47:15.0146898Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:47:15.0147225Z GITHUB_REF_TYPE=branch 2025-12-04T09:47:15.0147554Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:15.0147946Z XLA_CUDA= 2025-12-04T09:47:15.0148206Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:47:15.0148668Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:47:15.0149171Z *** 2025-12-04T09:47:15.0149416Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:47:15.0149735Z GITHUB_ACTIONS=true 2025-12-04T09:47:15.0150009Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:15.0150407Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:47:15.0150865Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:15.0151303Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:15.0151918Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:47:15.0152492Z UCC_HOME=/usr 2025-12-04T09:47:15.0152752Z VERBOSE_TEST_LOGS=False 2025-12-04T09:47:15.0153044Z GITHUB_REF=refs/heads/main 2025-12-04T09:47:15.0153344Z SHARD_NUMBER=5 2025-12-04T09:47:15.0153609Z GITHUB_REF_PROTECTED=true 2025-12-04T09:47:15.0153896Z HOME=/var/lib/jenkins 2025-12-04T09:47:15.0154211Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:47:15.0154592Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T09:47:15.0154974Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:47:15.0155369Z USE_SYSTEM_NCCL=1 2025-12-04T09:47:15.0155628Z NUM_TEST_SHARDS=5 2025-12-04T09:47:15.0155910Z UCX_HOME=/usr 2025-12-04T09:47:15.0156568Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0157762Z JOB_NAME=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T09:47:15.0158924Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0159885Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:47:15.0160467Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:47:15.0160774Z DASHBOARD_TAG= 2025-12-04T09:47:15.0161040Z GITHUB_RUN_ID=19922826259 2025-12-04T09:47:15.0161327Z INSTALLED_OPENBLAS= 2025-12-04T09:47:15.0162045Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0162847Z GITHUB_ACTOR=huydhn 2025-12-04T09:47:15.0163098Z PR_NUMBER= 2025-12-04T09:47:15.0163338Z DESIRED_CUDA=12.4 2025-12-04T09:47:15.0163802Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:47:15.0164088Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:47:15.0164476Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:47:15.0164885Z TERM=vt100 2025-12-04T09:47:15.0165131Z INSTALLED_VISION=yes 2025-12-04T09:47:15.0165392Z BRANCH=main 2025-12-04T09:47:15.0165647Z SCCACHE_REGION=us-east-1 2025-12-04T09:47:15.0165961Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:47:15.0166348Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:47:15.0166649Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:47:15.0167261Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:47:15.0167934Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:47:15.0168352Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:47:15.0168754Z REENABLED_ISSUES= 2025-12-04T09:47:15.0168997Z DOCS= 2025-12-04T09:47:15.0169219Z SHLVL=1 2025-12-04T09:47:15.0169442Z MAX_JOBS=14 2025-12-04T09:47:15.0169676Z GITHUB_ACTOR_ID=475357 2025-12-04T09:47:15.0170072Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:15.0170524Z GITHUB_REF_NAME=main 2025-12-04T09:47:15.0170947Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:47:15.0171544Z GITHUB_JOB=test 2025-12-04T09:47:15.0171810Z NO_TEST_TIMEOUT=False 2025-12-04T09:47:15.0172094Z TD_DISTRIBUTED=False 2025-12-04T09:47:15.0172387Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:47:15.0172743Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:47:15.0173047Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:47:15.0173341Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:47:15.0174268Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:47:15.0175228Z GITHUB_BASE_REF= 2025-12-04T09:47:15.0175478Z INSTALLED_ACL= 2025-12-04T09:47:15.0176016Z ARTIFACTS_FILE_SUFFIX=test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297 2025-12-04T09:47:15.0176641Z CI=true 2025-12-04T09:47:15.0176878Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:47:15.0177250Z RUST_LOG=sccache::server=error 2025-12-04T09:47:15.0177562Z JOB_ID=57119749297 2025-12-04T09:47:15.0177820Z GITHUB_HEAD_REF= 2025-12-04T09:47:15.0178085Z GITHUB_ACTION_REF= 2025-12-04T09:47:15.0178416Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:47:15.0178835Z TEST_SHOWLOCALS=False 2025-12-04T09:47:15.0179123Z GITHUB_WORKFLOW=periodic 2025-12-04T09:47:15.0179438Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:47:15.0180177Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0180925Z NO_TD=False 2025-12-04T09:47:15.0181198Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:47:15.0181557Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:47:15.0181908Z _=/usr/bin/env 2025-12-04T09:47:15.0182326Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:47:15.0182945Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-12-04T09:47:15.0287347Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch 2025-12-04T09:47:15.0288615Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin 2025-12-04T09:47:15.0289686Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib 2025-12-04T09:47:15.0290920Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test 2025-12-04T09:47:15.0291899Z + BUILD_DIR=build 2025-12-04T09:47:15.0292354Z + BUILD_RENAMED_DIR=build_renamed 2025-12-04T09:47:15.0292919Z + BUILD_BIN_DIR=build/bin 2025-12-04T09:47:15.0293256Z + SHARD_NUMBER=5 2025-12-04T09:47:15.0293510Z + NUM_TEST_SHARDS=5 2025-12-04T09:47:15.0293810Z + export TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:47:15.0294185Z + TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:47:15.0294496Z + export VALGRIND=ON 2025-12-04T09:47:15.0294769Z + VALGRIND=ON 2025-12-04T09:47:15.0295285Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *clang9* ]] 2025-12-04T09:47:15.0295740Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:47:15.0296137Z + detect_cuda_arch 2025-12-04T09:47:15.0296459Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:47:15.0296855Z + command -v nvidia-smi 2025-12-04T09:47:15.0297153Z /usr/bin/nvidia-smi 2025-12-04T09:47:15.0298498Z ++ nvidia-smi --query-gpu=compute_cap --format=csv 2025-12-04T09:47:15.0299793Z ++ tail -n 1 2025-12-04T09:47:15.0519128Z + TORCH_CUDA_ARCH_LIST=7.5 2025-12-04T09:47:15.0519710Z + export TORCH_CUDA_ARCH_LIST 2025-12-04T09:47:15.0520340Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *s390x* ]] 2025-12-04T09:47:15.0520773Z + [[ 0 == \1 ]] 2025-12-04T09:47:15.0521029Z + [[ True == \1 ]] 2025-12-04T09:47:15.0521354Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *bazel* ]] 2025-12-04T09:47:15.0523492Z ++ realpath build/custom_test_artifacts 2025-12-04T09:47:15.0545852Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-12-04T09:47:15.0546763Z + [[ -n '' ]] 2025-12-04T09:47:15.0547038Z + echo 'Environment variables' 2025-12-04T09:47:15.0547358Z Environment variables 2025-12-04T09:47:15.0547631Z + env 2025-12-04T09:47:15.0566860Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T09:47:15.0567555Z CONTINUE_THROUGH_ERROR=True 2025-12-04T09:47:15.0568111Z BUILD_ENVIRONMENT=linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T09:47:15.0569064Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-12-04T09:47:15.0569519Z HOSTNAME=2e6b815f7ea3 2025-12-04T09:47:15.0570239Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0571622Z GITHUB_ACTION=__run_3 2025-12-04T09:47:15.0572105Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 2025-12-04T09:47:15.0572688Z GITHUB_RUN_NUMBER=19107 2025-12-04T09:47:15.0573221Z TEST_CONFIG=legacy_nvidia_driver 2025-12-04T09:47:15.0573858Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-12-04T09:47:15.0574548Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-12-04T09:47:15.0575201Z SCCACHE_IDLE_TIMEOUT=0 2025-12-04T09:47:15.0576073Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-12-04T09:47:15.0576681Z GITHUB_TRIGGERING_ACTOR=huydhn 2025-12-04T09:47:15.0577224Z GITHUB_REF_TYPE=branch 2025-12-04T09:47:15.0577740Z TORCH_CUDA_ARCH_LIST=7.5 2025-12-04T09:47:15.0578386Z BASE_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:15.0579100Z XLA_CUDA= 2025-12-04T09:47:15.0579553Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-12-04T09:47:15.0580570Z HUGGING_FACE_HUB_TOKEN=*** 2025-12-04T09:47:15.0581170Z *** 2025-12-04T09:47:15.0581630Z GITHUB_REPOSITORY_ID=65600975 2025-12-04T09:47:15.0582177Z GITHUB_ACTIONS=true 2025-12-04T09:47:15.0582651Z NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T09:47:15.0583295Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-12-04T09:47:15.0584058Z SHA1=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:15.0584701Z GITHUB_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:15.0585342Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/periodic.yml@refs/heads/main 2025-12-04T09:47:15.0585897Z UCC_HOME=/usr 2025-12-04T09:47:15.0586172Z TORCH_SERIALIZATION_DEBUG=1 2025-12-04T09:47:15.0586487Z VERBOSE_TEST_LOGS=False 2025-12-04T09:47:15.0586787Z GITHUB_REF=refs/heads/main 2025-12-04T09:47:15.0587073Z SHARD_NUMBER=5 2025-12-04T09:47:15.0587336Z GITHUB_REF_PROTECTED=true 2025-12-04T09:47:15.0587649Z HOME=/var/lib/jenkins 2025-12-04T09:47:15.0587956Z GITHUB_API_URL=https://api.github.com 2025-12-04T09:47:15.0588338Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-12-04T09:47:15.0588735Z UCX_COMMIT=7836b165abdbe468a2f607e7254011c07d788152 2025-12-04T09:47:15.0589117Z USE_SYSTEM_NCCL=1 2025-12-04T09:47:15.0589382Z NUM_TEST_SHARDS=5 2025-12-04T09:47:15.0589637Z UCX_HOME=/usr 2025-12-04T09:47:15.0590289Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0591668Z JOB_NAME=linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T09:47:15.0592835Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0593797Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-12-04T09:47:15.0594383Z GITHUB_EVENT_NAME=schedule 2025-12-04T09:47:15.0594791Z DASHBOARD_TAG= 2025-12-04T09:47:15.0595061Z GITHUB_RUN_ID=19922826259 2025-12-04T09:47:15.0595353Z INSTALLED_OPENBLAS= 2025-12-04T09:47:15.0596086Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0596897Z GITHUB_ACTOR=huydhn 2025-12-04T09:47:15.0597149Z PR_NUMBER= 2025-12-04T09:47:15.0597397Z DESIRED_CUDA=12.4 2025-12-04T09:47:15.0597669Z GITHUB_RUN_ATTEMPT=1 2025-12-04T09:47:15.0597949Z VALGRIND=ON 2025-12-04T09:47:15.0598197Z ANACONDA_PYTHON_VERSION=3.10 2025-12-04T09:47:15.0598595Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-12-04T09:47:15.0599004Z TERM=vt100 2025-12-04T09:47:15.0599239Z INSTALLED_VISION=yes 2025-12-04T09:47:15.0599516Z BRANCH=main 2025-12-04T09:47:15.0599771Z SCCACHE_REGION=us-east-1 2025-12-04T09:47:15.0600072Z OPENSSL_ROOT_DIR=/opt/openssl 2025-12-04T09:47:15.0600404Z BUILD_AOT_INDUCTOR_TEST= 2025-12-04T09:47:15.0600708Z CUDA_PATH=/usr/local/cuda 2025-12-04T09:47:15.0601312Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-12-04T09:47:15.0602001Z GITHUB_SERVER_URL=https://github.com 2025-12-04T09:47:15.0602413Z UCC_COMMIT=430e241bf5d38cbc73fc7a6b89155397232e3f96 2025-12-04T09:47:15.0602798Z REENABLED_ISSUES= 2025-12-04T09:47:15.0603056Z DOCS= 2025-12-04T09:47:15.0603277Z SHLVL=1 2025-12-04T09:47:15.0603486Z MAX_JOBS=14 2025-12-04T09:47:15.0603758Z GITHUB_ACTOR_ID=475357 2025-12-04T09:47:15.0604148Z GITHUB_WORKFLOW_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T09:47:15.0604840Z GITHUB_REF_NAME=main 2025-12-04T09:47:15.0605268Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-12-04T09:47:15.0605769Z GITHUB_JOB=test 2025-12-04T09:47:15.0606032Z NO_TEST_TIMEOUT=False 2025-12-04T09:47:15.0606303Z TD_DISTRIBUTED=False 2025-12-04T09:47:15.0606611Z GITHUB_REPOSITORY=pytorch/pytorch 2025-12-04T09:47:15.0607108Z GITHUB_RETENTION_DAYS=90 2025-12-04T09:47:15.0607561Z OPENSSL_DIR=/opt/openssl 2025-12-04T09:47:15.0608064Z GITHUB_ACTION_REPOSITORY= 2025-12-04T09:47:15.0609344Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:47:15.0610318Z GITHUB_BASE_REF= 2025-12-04T09:47:15.0610570Z INSTALLED_ACL= 2025-12-04T09:47:15.0611199Z ARTIFACTS_FILE_SUFFIX=test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297 2025-12-04T09:47:15.0611826Z CI=true 2025-12-04T09:47:15.0612067Z GITHUB_REPOSITORY_OWNER=pytorch 2025-12-04T09:47:15.0612446Z RUST_LOG=sccache::server=error 2025-12-04T09:47:15.0612761Z JOB_ID=57119749297 2025-12-04T09:47:15.0613007Z GITHUB_HEAD_REF= 2025-12-04T09:47:15.0613270Z GITHUB_ACTION_REF= 2025-12-04T09:47:15.0613604Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-12-04T09:47:15.0614002Z TEST_SHOWLOCALS=False 2025-12-04T09:47:15.0614297Z GITHUB_WORKFLOW=periodic 2025-12-04T09:47:15.0614613Z DEBIAN_FRONTEND=noninteractive 2025-12-04T09:47:15.0615360Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_69a2bb71-41c7-4c2f-9e63-2568002232d4 2025-12-04T09:47:15.0616107Z NO_TD=False 2025-12-04T09:47:15.0616371Z SKIP_SCCACHE_INITIALIZATION=1 2025-12-04T09:47:15.0616727Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-12-04T09:47:15.0617245Z OLDPWD=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/numba/cuda 2025-12-04T09:47:15.0617745Z _=/usr/bin/env 2025-12-04T09:47:15.0618007Z + echo 'Testing pytorch' 2025-12-04T09:47:15.0618289Z Testing pytorch 2025-12-04T09:47:15.0618730Z + export LANG=C.UTF-8 2025-12-04T09:47:15.0619012Z + LANG=C.UTF-8 2025-12-04T09:47:15.0619248Z + PR_NUMBER= 2025-12-04T09:47:15.0619533Z + [[ legacy_nvidia_driver == \d\e\f\a\u\l\t ]] 2025-12-04T09:47:15.0619965Z + [[ legacy_nvidia_driver == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-12-04T09:47:15.0620372Z + [[ legacy_nvidia_driver == \s\l\o\w ]] 2025-12-04T09:47:15.0620836Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *slow-gradcheck* ]] 2025-12-04T09:47:15.0621443Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:47:15.0621884Z + export PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:47:15.0622277Z + PYTORCH_TESTING_DEVICE_ONLY_FOR=cuda 2025-12-04T09:47:15.0622657Z + [[ legacy_nvidia_driver == *crossref* ]] 2025-12-04T09:47:15.0623071Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:47:15.0623507Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *xpu* ]] 2025-12-04T09:47:15.0623967Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:47:15.0624382Z + pip_install ninja==1.10.2 2025-12-04T09:47:15.0624795Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-12-04T09:47:15.0625339Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-12-04T09:47:15.5357669Z Collecting ninja==1.10.2 2025-12-04T09:47:15.5605562Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-12-04T09:47:15.5713036Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-12-04T09:47:15.9908181Z Installing collected packages: ninja 2025-12-04T09:47:15.9909033Z Attempting uninstall: ninja 2025-12-04T09:47:15.9917510Z Found existing installation: ninja 1.11.1.4 2025-12-04T09:47:15.9941571Z Uninstalling ninja-1.11.1.4: 2025-12-04T09:47:16.0010877Z Successfully uninstalled ninja-1.11.1.4 2025-12-04T09:47:16.0387716Z Successfully installed ninja-1.10.2 2025-12-04T09:47:16.0978673Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:47:16.0980809Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2025-12-04T09:47:16.0981990Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:47:16.0982495Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *asan* ]] 2025-12-04T09:47:16.0982949Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *-debug* ]] 2025-12-04T09:47:16.0983466Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 != *-bazel-* ]] 2025-12-04T09:47:16.0984201Z + echo 'We are not in debug mode: linux-jammy-cuda12.4-py3.10-gcc11. Expect the assertion to pass' 2025-12-04T09:47:16.0985101Z We are not in debug mode: linux-jammy-cuda12.4-py3.10-gcc11. Expect the assertion to pass 2025-12-04T09:47:16.0985675Z + cd test 2025-12-04T09:47:16.0986075Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-12-04T09:47:17.7728361Z + [[ legacy_nvidia_driver == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-12-04T09:47:17.7728902Z + [[ legacy_nvidia_driver == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-12-04T09:47:17.7729482Z + [[ legacy_nvidia_driver == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-12-04T09:47:17.7730411Z + cd test 2025-12-04T09:47:17.7731325Z + python -c 'import torch; torch.rand(2, 2, device='\''cuda'\'')' 2025-12-04T09:47:22.5984377Z + export USE_LEGACY_DRIVER=1 2025-12-04T09:47:22.5984767Z + USE_LEGACY_DRIVER=1 2025-12-04T09:47:22.5987134Z + DYNAMO_BENCHMARK_FLAGS=() 2025-12-04T09:47:22.5987858Z + [[ legacy_nvidia_driver == *pr_time_benchmarks* ]] 2025-12-04T09:47:22.5988311Z + [[ legacy_nvidia_driver == *dynamo_eager* ]] 2025-12-04T09:47:22.5988869Z + [[ legacy_nvidia_driver == *aot_eager* ]] 2025-12-04T09:47:22.5989270Z + [[ legacy_nvidia_driver == *aot_inductor* ]] 2025-12-04T09:47:22.5989709Z + [[ legacy_nvidia_driver == *max_autotune_inductor* ]] 2025-12-04T09:47:22.5990424Z + [[ legacy_nvidia_driver == *inductor* ]] 2025-12-04T09:47:22.5990809Z + [[ legacy_nvidia_driver == *dynamic* ]] 2025-12-04T09:47:22.5991191Z + [[ legacy_nvidia_driver == *cpu* ]] 2025-12-04T09:47:22.5991538Z + [[ legacy_nvidia_driver == *xpu* ]] 2025-12-04T09:47:22.5991920Z + DYNAMO_BENCHMARK_FLAGS+=(--device cuda) 2025-12-04T09:47:22.6029639Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:47:22.6030344Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *-bazel-* ]] 2025-12-04T09:47:22.6032818Z + cd test 2025-12-04T09:47:22.6033659Z + python -c 'import torch; print(torch.__config__.show())' 2025-12-04T09:47:25.1908750Z PyTorch built with: 2025-12-04T09:47:25.1909232Z - GCC 11.4 2025-12-04T09:47:25.1909598Z - C++ Version: 201703 2025-12-04T09:47:25.1910588Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:47:25.1911843Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:47:25.1912620Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:47:25.1913192Z - LAPACK is enabled (usually provided by MKL) 2025-12-04T09:47:25.1913765Z - NNPACK is enabled 2025-12-04T09:47:25.1914180Z - CPU capability usage: AVX512 2025-12-04T09:47:25.1914664Z - CUDA Runtime 12.4 2025-12-04T09:47:25.1915241Z - NVCC architecture flags: -gencode;arch=compute_75,code=sm_75 2025-12-04T09:47:25.1915896Z - CuDNN 90.1 2025-12-04T09:47:25.1924528Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32, CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -DC10_NODEPRECATED -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -Wno-error=old-style-cast -faligned-new -Werror -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, FORCE_FALLBACK_CUDA_MPI=1, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, TORCH_VERSION=2.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=ON, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, USE_XCCL=OFF, USE_XPU=OFF, 2025-12-04T09:47:25.1933780Z 2025-12-04T09:47:25.5509811Z + cd test 2025-12-04T09:47:25.5510307Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-12-04T09:47:26.9634007Z ATen/Parallel: 2025-12-04T09:47:26.9634365Z at::get_num_threads() : 8 2025-12-04T09:47:26.9634713Z at::get_num_interop_threads() : 8 2025-12-04T09:47:26.9635073Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-12-04T09:47:26.9635435Z omp_get_max_threads() : 8 2025-12-04T09:47:26.9636109Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-12-04T09:47:26.9636826Z mkl_get_max_threads() : 8 2025-12-04T09:47:26.9637263Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-12-04T09:47:26.9637789Z std::thread::hardware_concurrency() : 16 2025-12-04T09:47:26.9638181Z Environment variables: 2025-12-04T09:47:26.9638473Z OMP_NUM_THREADS : [not set] 2025-12-04T09:47:26.9638798Z MKL_NUM_THREADS : [not set] 2025-12-04T09:47:26.9639119Z ATen parallel backend: OpenMP 2025-12-04T09:47:26.9639332Z 2025-12-04T09:47:27.2230183Z + [[ legacy_nvidia_driver == *numpy_2* ]] 2025-12-04T09:47:27.2230981Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *aarch64* ]] 2025-12-04T09:47:27.2231686Z + [[ legacy_nvidia_driver == *backward* ]] 2025-12-04T09:47:27.2232402Z + [[ legacy_nvidia_driver == *libtorch_agnostic_targetting* ]] 2025-12-04T09:47:27.2233504Z + [[ legacy_nvidia_driver == *xla* ]] 2025-12-04T09:47:27.2234066Z + [[ legacy_nvidia_driver == *vllm* ]] 2025-12-04T09:47:27.2234561Z + [[ legacy_nvidia_driver == *executorch* ]] 2025-12-04T09:47:27.2234983Z + [[ legacy_nvidia_driver == \j\i\t\_\l\e\g\a\c\y ]] 2025-12-04T09:47:27.2235418Z + [[ legacy_nvidia_driver == \q\u\a\n\t\i\z\a\t\i\o\n ]] 2025-12-04T09:47:27.2235919Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *libtorch* ]] 2025-12-04T09:47:27.2236528Z + [[ legacy_nvidia_driver == distributed ]] 2025-12-04T09:47:27.2236943Z + [[ legacy_nvidia_driver == *operator_benchmark* ]] 2025-12-04T09:47:27.2237417Z + [[ legacy_nvidia_driver == *operator_microbenchmark* ]] 2025-12-04T09:47:27.2237915Z + [[ legacy_nvidia_driver == *attention_microbenchmark* ]] 2025-12-04T09:47:27.2238404Z + [[ legacy_nvidia_driver == *inductor_distributed* ]] 2025-12-04T09:47:27.2238839Z + [[ legacy_nvidia_driver == *inductor-halide* ]] 2025-12-04T09:47:27.2239274Z + [[ legacy_nvidia_driver == *inductor-pallas* ]] 2025-12-04T09:47:27.2239731Z + [[ legacy_nvidia_driver == *inductor-triton-cpu* ]] 2025-12-04T09:47:27.2240205Z + [[ legacy_nvidia_driver == *inductor-micro-benchmark* ]] 2025-12-04T09:47:27.2240730Z + [[ legacy_nvidia_driver == *aoti_cross_compile_for_windows* ]] 2025-12-04T09:47:27.2241209Z + [[ legacy_nvidia_driver == *huggingface* ]] 2025-12-04T09:47:27.2241596Z + [[ legacy_nvidia_driver == *timm* ]] 2025-12-04T09:47:27.2241964Z + [[ legacy_nvidia_driver == cachebench ]] 2025-12-04T09:47:27.2242369Z + [[ legacy_nvidia_driver == verify_cachebench ]] 2025-12-04T09:47:27.2242779Z + [[ legacy_nvidia_driver == *torchbench* ]] 2025-12-04T09:47:27.2243192Z + [[ legacy_nvidia_driver == *inductor_cpp_wrapper* ]] 2025-12-04T09:47:27.2243629Z + [[ legacy_nvidia_driver == *inductor_core* ]] 2025-12-04T09:47:27.2244026Z + [[ legacy_nvidia_driver == *inductor* ]] 2025-12-04T09:47:27.2244388Z + [[ legacy_nvidia_driver == *einops* ]] 2025-12-04T09:47:27.2244771Z + [[ legacy_nvidia_driver == *dynamo_core* ]] 2025-12-04T09:47:27.2245182Z + [[ legacy_nvidia_driver == *dynamo_wrapped* ]] 2025-12-04T09:47:27.2245605Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *rocm* ]] 2025-12-04T09:47:27.2245995Z + [[ 5 == 1 ]] 2025-12-04T09:47:27.2246241Z + [[ 5 == 2 ]] 2025-12-04T09:47:27.2246488Z + [[ 5 -gt 2 ]] 2025-12-04T09:47:27.2246737Z + install_torchvision 2025-12-04T09:47:27.2247022Z + local orig_preload 2025-12-04T09:47:27.2247291Z + local commit 2025-12-04T09:47:27.2247553Z ++ get_pinned_commit vision 2025-12-04T09:47:27.2247884Z ++ cat .github/ci_commit_pins/vision.txt 2025-12-04T09:47:27.2252265Z + commit=617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:27.2252945Z + orig_preload= 2025-12-04T09:47:27.2253398Z + '[' -n '' ']' 2025-12-04T09:47:27.2253915Z + [[ linux-jammy-cuda12.4-py3.10-gcc11 == *cuda* ]] 2025-12-04T09:47:27.2254676Z + export FORCE_CUDA=1 2025-12-04T09:47:27.2255146Z + FORCE_CUDA=1 2025-12-04T09:47:27.2255549Z + export WITH_CUDA=1 2025-12-04T09:47:27.2255955Z + WITH_CUDA=1 2025-12-04T09:47:27.2257102Z + pip_build_and_install git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e dist/vision 2025-12-04T09:47:27.2258462Z + local build_target=git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:27.2259141Z + local wheel_dir=dist/vision 2025-12-04T09:47:27.2259450Z + local found_whl=0 2025-12-04T09:47:27.2259738Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:47:27.2260102Z + [[ -f dist/vision/*.whl ]] 2025-12-04T09:47:27.2260393Z + '[' 0 == 0 ']' 2025-12-04T09:47:27.2261195Z + python3 -m pip wheel --no-build-isolation --no-deps -w dist/vision git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:27.5811905Z Collecting git+https://github.com/pytorch/vision.git@617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:27.5816964Z Cloning https://github.com/pytorch/vision.git (to revision 617079d944b0e72632311c30ae2bbdf1168b901e) to /tmp/pip-req-build-z34rrq9f 2025-12-04T09:47:27.5997072Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-z34rrq9f 2025-12-04T09:47:29.2783201Z Running command git rev-parse -q --verify 'sha^617079d944b0e72632311c30ae2bbdf1168b901e' 2025-12-04T09:47:29.2804580Z Running command git fetch -q https://github.com/pytorch/vision.git 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:29.4068972Z Resolved https://github.com/pytorch/vision.git to commit 617079d944b0e72632311c30ae2bbdf1168b901e 2025-12-04T09:47:32.7667142Z Preparing metadata (pyproject.toml) ... [?25l- \ | done 2025-12-04T09:47:32.7705035Z [?25hBuilding wheels for collected packages: torchvision 2025-12-04T09:48:59.1615429Z Building wheel for torchvision (pyproject.toml) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2025-12-04T09:48:59.1681899Z [?25h Created wheel for torchvision: filename=torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl size=1821405 sha256=ed1f154772b672c7799569ed1bc56b24e529e72e0bdb6cd02bb6a14e6fc3affc 2025-12-04T09:48:59.1684344Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/12/b2/29/1f82685c5b5173629e1f36a9b93989ce92ce563e5fb91d27ac 2025-12-04T09:48:59.1726312Z Successfully built torchvision 2025-12-04T09:48:59.2608472Z + for file in "${wheel_dir}"/*.whl 2025-12-04T09:48:59.2609171Z + pip_install_whl dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:48:59.2609982Z + args=('dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl') 2025-12-04T09:48:59.2610515Z + local args 2025-12-04T09:48:59.2611072Z + [[ dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl == *\ * ]] 2025-12-04T09:48:59.2611660Z + for path in "${args[@]}" 2025-12-04T09:48:59.2612205Z + echo 'Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl' 2025-12-04T09:48:59.2613037Z Installing dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:48:59.2613978Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:48:59.6228413Z Processing ./dist/vision/torchvision-0.25.0a0+617079d-cp310-cp310-linux_x86_64.whl 2025-12-04T09:48:59.6365304Z Installing collected packages: torchvision 2025-12-04T09:49:00.1524292Z Successfully installed torchvision-0.25.0a0+617079d 2025-12-04T09:49:00.1914658Z + '[' -n '' ']' 2025-12-04T09:49:00.1914958Z + test_python_shard 5 2025-12-04T09:49:00.1915243Z + [[ -z 5 ]] 2025-12-04T09:49:00.1916140Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --exclude-quantization-tests --shard 5 5 --verbose --upload-artifacts-while-running 2025-12-04T09:49:06.8896586Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2025-12-04T09:49:06.9469316Z Ignoring disabled issues: [''] 2025-12-04T09:49:06.9585385Z Found test times from artifacts 2025-12-04T09:49:07.0025057Z Found test times from artifacts 2025-12-04T09:49:07.0039319Z Running all tests 2025-12-04T09:49:07.0955525Z Running parallel tests on 1 processes 2025-12-04T09:49:07.0963942Z Name: tests to run (est. time: 291.37min) 2025-12-04T09:49:07.0964554Z Serial tests (98): 2025-12-04T09:49:07.0965186Z inductor/test_aot_inductor 5/6 2025-12-04T09:49:07.0965639Z inductor/test_torchinductor_dynamic_shapes 2/5 2025-12-04T09:49:07.0966142Z inductor/test_torchinductor_codegen_dynamic_shapes 1/4 2025-12-04T09:49:07.0966605Z inductor/test_torchinductor_opinfo 1/17 2025-12-04T09:49:07.0967013Z inductor/test_torchinductor_opinfo 6/17 2025-12-04T09:49:07.0967421Z inductor/test_torchinductor_opinfo 11/17 2025-12-04T09:49:07.0967816Z inductor/test_torchinductor_opinfo 16/17 2025-12-04T09:49:07.0968220Z inductor/test_cuda_select_algorithm 2/5 2025-12-04T09:49:07.0968928Z inductor/test_compile_subprocess 2/3 2025-12-04T09:49:07.0969324Z inductor/test_deterministic 4/8 2025-12-04T09:49:07.0969674Z export/test_retraceability 1/1 2025-12-04T09:49:07.0970037Z dynamo/test_regional_inductor 1/1 2025-12-04T09:49:07.0970406Z inductor/test_op_dtype_prop 2/2 2025-12-04T09:49:07.0970761Z inductor/test_custom_op_autotune 1/1 2025-12-04T09:49:07.0971208Z dynamo/test_decorators 1/1 2025-12-04T09:49:07.0971729Z test_privateuseone_python_backend 1/1 2025-12-04T09:49:07.0972093Z test_varlen_attention 1/1 2025-12-04T09:49:07.0972405Z test_cuda 1/1 2025-12-04T09:49:07.0972773Z higher_order_ops/test_invoke_subgraph 1/1 2025-12-04T09:49:07.0973204Z test_decomp 1/17 2025-12-04T09:49:07.0973634Z test_decomp 6/17 2025-12-04T09:49:07.0974152Z test_decomp 11/17 2025-12-04T09:49:07.0974543Z test_decomp 16/17 2025-12-04T09:49:07.0974819Z test_meta 4/5 2025-12-04T09:49:07.0975090Z test_ops_gradients 2/2 2025-12-04T09:49:07.0975413Z test_cuda_expandable_segments 1/1 2025-12-04T09:49:07.0975757Z test_ops 3/11 2025-12-04T09:49:07.0976014Z test_ops 8/11 2025-12-04T09:49:07.0976276Z test_sparse_csr 1/2 2025-12-04T09:49:07.0976638Z functorch/test_ops 4/7 2025-12-04T09:49:07.0976986Z test_overrides 1/1 2025-12-04T09:49:07.0977524Z test_torchfuzz_repros 1/1 2025-12-04T09:49:07.0978023Z doctests 1/1 2025-12-04T09:49:07.0978301Z dynamo/test_dynamic_shapes 1/1 2025-12-04T09:49:07.0978681Z inductor/test_mkldnn_pattern_matcher 1/3 2025-12-04T09:49:07.0979058Z inductor/test_cpu_cpp_wrapper 1/1 2025-12-04T09:49:07.0979463Z inductor/test_torchinductor_strided_blocks 1/1 2025-12-04T09:49:07.0979868Z test_content_store 1/1 2025-12-04T09:49:07.0980173Z inductor/test_multi_kernel 1/1 2025-12-04T09:49:07.0980515Z inductor/test_b2b_gemm 1/1 2025-12-04T09:49:07.0980853Z inductor/test_triton_heuristics 1/1 2025-12-04T09:49:07.0981257Z export/test_export_training_ir_to_run_decomp 1/1 2025-12-04T09:49:07.0981706Z inductor/test_cooperative_reductions 1/1 2025-12-04T09:49:07.0982095Z inductor/test_combo_kernels 1/1 2025-12-04T09:49:07.0982444Z dynamo/test_interop 1/1 2025-12-04T09:49:07.0982761Z functorch/test_eager_transforms 1/1 2025-12-04T09:49:07.0983132Z inductor/test_best_config 1/1 2025-12-04T09:49:07.0983490Z inductor/test_compiled_optimizers 2/3 2025-12-04T09:49:07.0983853Z inductor/test_control_flow 4/4 2025-12-04T09:49:07.0984198Z dynamo/test_list 1/1 2025-12-04T09:49:07.0984522Z inductor/test_augmented_graph_helper 1/1 2025-12-04T09:49:07.0984888Z dynamo/test_deviceguard 1/1 2025-12-04T09:49:07.0985217Z dynamo/test_sources 1/1 2025-12-04T09:49:07.0985527Z dynamo/test_modes 1/1 2025-12-04T09:49:07.0985814Z dynamo/test_export 1/1 2025-12-04T09:49:07.0986170Z dynamo/test_cudagraphs_expandable_segments 1/1 2025-12-04T09:49:07.0986577Z inductor/test_caching 1/1 2025-12-04T09:49:07.0986891Z dynamo/test_exceptions 1/1 2025-12-04T09:49:07.0987224Z export/test_lift_unlift 1/1 2025-12-04T09:49:07.0987550Z export/test_sparse 1/2 2025-12-04T09:49:07.0987850Z xpu/test_fusion 1/1 2025-12-04T09:49:07.0988121Z test_stateless 1/1 2025-12-04T09:49:07.0988402Z test_binary_ufuncs 1/1 2025-12-04T09:49:07.0988703Z test_opaque_obj_v2 1/1 2025-12-04T09:49:07.0989016Z test_functionalization_of_rng_ops 1/1 2025-12-04T09:49:07.0989398Z functorch/test_control_flow 1/2 2025-12-04T09:49:07.0989742Z test_jit_disabled 1/1 2025-12-04T09:49:07.0990028Z test_import_stats 1/1 2025-12-04T09:49:07.0990348Z test_cpp_extensions_mtia_backend 1/1 2025-12-04T09:49:07.0990710Z lazy/test_ts_opinfo 1/1 2025-12-04T09:49:07.0991010Z optim/test_swa_utils 1/1 2025-12-04T09:49:07.0991490Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 2025-12-04T09:49:07.0992051Z functorch/test_memory_efficient_fusion 1/1 2025-12-04T09:49:07.0992460Z torch_np/numpy_tests/lib/test_histograms 1/1 2025-12-04T09:49:07.0992989Z torch_np/test_indexing 1/1 2025-12-04T09:49:07.0993325Z test_tensorboard 1/1 2025-12-04T09:49:07.0993623Z nn/test_dropout 1/1 2025-12-04T09:49:07.0993909Z functorch/dim/test_split 1/1 2025-12-04T09:49:07.0994278Z torch_np/numpy_tests/lib/test_type_check 1/1 2025-12-04T09:49:07.0994699Z cpp_extensions/test_libtorch_agnostic 1/1 2025-12-04T09:49:07.0995091Z test_cpp_extensions_stream_and_event 1/1 2025-12-04T09:49:07.0995580Z profiler/test_execution_trace 1/1 2025-12-04T09:49:07.0995924Z test_jit 1/1 2025-12-04T09:49:07.0996164Z test_nn 1/1 2025-12-04T09:49:07.0996421Z test_native_mha 1/1 2025-12-04T09:49:07.0996763Z torch_np/numpy_tests/core/test_numerictypes 1/1 2025-12-04T09:49:07.0997160Z test_function_schema 1/1 2025-12-04T09:49:07.0997474Z test_accelerator 1/1 2025-12-04T09:49:07.0997766Z nn/test_init 1/1 2025-12-04T09:49:07.0998086Z torch_np/numpy_tests/core/test_scalar_methods 1/1 2025-12-04T09:49:07.0998523Z torch_np/numpy_tests/fft/test_helper 1/1 2025-12-04T09:49:07.0998917Z torch_np/test_scalars_0D_arrays 1/1 2025-12-04T09:49:07.0999283Z test_cuda_primary_ctx 1/1 2025-12-04T09:49:07.0999606Z profiler/test_profiler_tree 1/1 2025-12-04T09:49:07.1000002Z torch_np/numpy_tests/lib/test_arraysetops 1/1 2025-12-04T09:49:07.1000396Z test_dlpack 1/1 2025-12-04T09:49:07.1000671Z profiler/test_torch_tidy 1/1 2025-12-04T09:49:07.1001011Z test_reductions 1/1 2025-12-04T09:49:07.1001305Z Parallel tests (0): 2025-12-04T09:49:07.1001592Z Name: excluded (est. time: 0.0min) 2025-12-04T09:49:07.1001930Z Serial tests (0): 2025-12-04T09:49:07.1002208Z Parallel tests (0): 2025-12-04T09:49:07.1002685Z Running inductor/test_aot_inductor 5/6 ... [2025-12-04 09:49:07.097201][982.846748673] 2025-12-04T09:49:07.1003257Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T09:49:07.1004733Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_aot_inductor.py', '--shard-id=5', '--num-shards=6', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 09:49:07.097585] 2025-12-04T10:00:00.3499046Z 2025-12-04T10:00:00.3500378Z PRINTING LOG FILE of inductor/test_aot_inductor 5/6 (test/test-reports/inductor.test_aot_inductor_5.6_1a7663c7a9d85bc4_.log) 2025-12-04T10:00:00.3502293Z W1204 09:49:19.261000 1722 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:00:00.3504206Z Test results will be stored in test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-47b146c0aedc1125.xml 2025-12-04T10:00:00.3505768Z ============================= test session starts ============================== 2025-12-04T10:00:00.3506812Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:00:00.3507763Z cachedir: .pytest_cache 2025-12-04T10:00:00.3508835Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:00:00.3509958Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:00:00.3510353Z configfile: pytest.ini 2025-12-04T10:00:00.3511273Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:00:00.3512187Z collecting ... collected 934 items 2025-12-04T10:00:00.3512689Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:00:00.3611671Z Running 166 items in this shard: test/inductor/test_aot_inductor.py::AOTInductorLoggingTest::test_shape_env_reuse_zero_consts_use_consts_asm_false, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test__weight_int4pack_mm_with_scales_and_zeros_m_32_n_64_q_group_64_num_groups_2_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_aliased_buffer_reuse_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_aoti_runtime_asserts_backed_symint_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_aoti_user_defined_triton_kernel_profiling_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_assert_async_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_autotune_int64_user_defined_triton_kernel_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_clamp_decomposition_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_cond_nested_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_cond_with_multiple_outputs_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_constant_original_fqn_and_dtype_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_constant_type_propagation_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_custom_op_in_subgraph_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_d2h_copy_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_dup_unbacked_sym_decl_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_dynamic_smem_above_default_limit_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_fqn_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_inf_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_linear_freezing_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_misc_1_max_autotune_True_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_missing_cubin_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_nan_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_no_args_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_proxy_executor_permute_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_repeated_calling_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_runtime_checks_complex_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_runtime_checks_fp8_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_simple_embed_kernel_binary_False_max_autotune_False_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_simple_embed_kernel_binary_True_max_autotune_False_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_simple_embed_kernel_binary_True_max_autotune_True_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_size_from_multi_output_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_size_with_unbacked_add_expr_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_small_constant_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_symfloat_item_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_symint_item_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_sympy_cpp_printer_min_max_minmax0_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_1_num_dims_2_dynamic_True_autotune_True_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_2_num_dims_1_dynamic_True_autotune_False_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_2_num_dims_2_dynamic_True_autotune_False_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_3_num_dims_2_dynamic_False_autotune_True_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_3_num_dims_2_dynamic_True_autotune_False_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_sympy_expr_arg_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_sympy_fn_like_arg_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_tma_descriptor_2d_dynamic_True_tma_version_new_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_unbacked_symint_in_grid_dynamic_False_autotuning_False_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_next_power_of_2_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_unbacked_expr_replacements_shift_k_1_use_static_size_True_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_upper_bound_i64_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_while_loop_with_outer_buffers_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_while_loop_with_pytree_inputs_cpu, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_aot_inductor_consts_cpp_build_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_aoti_debug_printer_fp8_dtype_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_aoti_debug_printer_user_defined_triton_kernel_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_aoti_runtime_asserts_backed_symint_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_buffer_mutation_2_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_mismatched_branch_output_dynamic_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_non_tensor_predicates_dynamic_True_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_with_multiple_outputs_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_with_reinterpret_view_inputs_outputs_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_with_replace_view_ops_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_consecutive_compiles_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_constant_folding_with_update_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_constant_type_propagation_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_dup_unbacked_sym_decl_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_duplicated_params_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_empty_constant_folding_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_empty_graph_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_fallback_kernel_with_symexpr_output_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_fx_gm_return_tuple_validation_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_index_put_with_none_index_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_large_dynamic_dim_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_linear_freezing_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_misc_1_max_autotune_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_missing_output_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_narrow_fallback_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_output_misaligned_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_poi_multiple_dynamic_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_profile_benchmark_harness_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_proxy_executor_abs_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_quanatized_int8_linear_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeat_interleave_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeat_output_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_replicate_on_devices_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_runtime_checks_dtype_failed_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_runtime_checks_shape_failed_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_scaled_dot_product_efficient_attention_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_stride_with_unbacked_expr_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_subclasses_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_dynamic_launcher_grid_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_dynamic_launcher_grid_infer_from_tensor_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_equal_to_1_float_arg_dynamic_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_1_num_dims_1_dynamic_False_autotune_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_1_num_dims_1_dynamic_True_autotune_True_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_1_num_dims_2_dynamic_True_autotune_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_2_num_dims_1_dynamic_True_autotune_True_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_2_num_dims_2_dynamic_False_autotune_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_3_num_dims_1_dynamic_False_autotune_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_3_num_dims_2_dynamic_True_autotune_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_3_num_dims_2_dynamic_True_autotune_True_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_tma_descriptor_1d_dynamic_False_tma_version_old_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_tma_descriptor_1d_dynamic_True_tma_version_old_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_tma_descriptor_2d_dynamic_True_tma_version_new_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_unbacked_symint_in_grid_dynamic_True_autotuning_True_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_weird_param_order_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_mutated_autotuning_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_unbacked_expr_replacements_shift_k_0_use_static_size_True_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_unbacked_expr_replacements_shift_k_3_use_static_size_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_update_constant_buffer_simple_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_update_user_managed_buffer_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_using_model_name_for_files_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_while_loop_with_conv_dynamic_False_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_while_loop_with_outer_code_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_while_loop_with_pytree_inputs_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_with_no_triton_profiler_cuda, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test__weight_int4pack_mm_with_scales_and_zeros_m_32_n_64_q_group_32_num_groups_1_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test__weight_int4pack_mm_with_scales_and_zeros_m_32_n_64_q_group_32_num_groups_2_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_addmm_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_aoti_debug_printer_cpp_kernel_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_aoti_debug_printer_user_defined_triton_kernel_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_aoti_profiler_enable_kernel_profile_False_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_buffer_reuse_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_cond_simple_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_cond_symint_input_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_cond_with_outer_code_before_after_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_consecutive_compiles_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_constant_folding_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_constant_folding_with_update_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_custom_op_in_subgraph_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_dup_unbacked_sym_decl_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_empty_constant_folding_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_extract_constants_map_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_load_package_multiple_gpus_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_non_tensor_input_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_pad_fallback_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_proxy_executor_hann_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_quantized_linear_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_replicate_on_devices_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_runtime_checks_complex_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_scaled_dot_product_efficient_attention_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_scaled_grouped_mm_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_scatter_fallback_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_sdpa_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_simple_embed_kernel_binary_True_max_autotune_True_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_simple_multi_arch_embed_kernel_binary_False_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_simple_split_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_so_without_weight_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_dynamic_launcher_grid_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_equal_to_1_float_arg_dynamic_True_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_1_num_dims_1_dynamic_False_autotune_False_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_1_num_dims_1_dynamic_True_autotune_True_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_1_num_dims_2_dynamic_False_autotune_False_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_1_num_dims_2_dynamic_False_autotune_True_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_2_num_dims_1_dynamic_False_autotune_True_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_on_device_tma_dynamic_False_tma_version_new_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_on_device_tma_dynamic_True_tma_version_old_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_reinterpret_view_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_tma_descriptor_2d_dynamic_True_tma_version_old_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_mutated_autotuning_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_unbacked_expr_replacements_shift_k_3_use_static_size_False_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_update_constant_buffer_simple_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_upper_bound_i64_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_view_outputs_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_weight_on_disk_legacy_mps, test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_with_cudagraphs_mps 2025-12-04T10:00:00.3708507Z 2025-12-04T10:00:00.3709635Z inductor/test_aot_inductor.py::AOTInductorLoggingTest::test_shape_env_reuse_zero_consts_use_consts_asm_false <- ../../../../opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/logging_utils.py PASSED [9.7151s] [ 0%] 2025-12-04T10:00:00.3711690Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test__weight_int4pack_mm_with_scales_and_zeros_m_32_n_64_q_group_64_num_groups_2_cpu SKIPPED [0.0031s] (requires Intel GPU) [ 1%] 2025-12-04T10:00:00.3713364Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_aliased_buffer_reuse_cpu <- test/inductor/test_torchinductor.py PASSED [7.0491s] [ 1%] 2025-12-04T10:00:00.3714981Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_aoti_runtime_asserts_backed_symint_cpu Error: Expected Eq(Mod(s6, 100), 0) to be True but received 2099 2025-12-04T10:00:00.3715983Z PASSED [5.0591s] [ 2%] 2025-12-04T10:00:00.3717051Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_aoti_user_defined_triton_kernel_profiling_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (requires GPU) [ 3%] 2025-12-04T10:00:00.3718651Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_assert_async_cpu SKIPPED [0.0028s] (requires GPU_TYPE) [ 3%] 2025-12-04T10:00:00.3720053Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_autotune_int64_user_defined_triton_kernel_cpu SKIPPED [0.0030s] (requires GPU) [ 4%] 2025-12-04T10:00:00.3721588Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_clamp_decomposition_cpu <- test/inductor/test_torchinductor.py PASSED [9.7382s] [ 4%] 2025-12-04T10:00:00.3723081Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_cond_nested_cpu <- test/inductor/test_torchinductor.py PASSED [7.1977s] [ 5%] 2025-12-04T10:00:00.3724602Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_cond_with_multiple_outputs_cpu <- test/inductor/test_torchinductor.py PASSED [5.4989s] [ 6%] 2025-12-04T10:00:00.3726358Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_constant_original_fqn_and_dtype_cpu <- test/inductor/test_torchinductor.py PASSED [4.7988s] [ 6%] 2025-12-04T10:00:00.3727994Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_constant_type_propagation_cpu <- test/inductor/test_torchinductor.py PASSED [4.8240s] [ 7%] 2025-12-04T10:00:00.3729555Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_custom_op_in_subgraph_cpu <- test/inductor/test_torchinductor.py PASSED [4.8021s] [ 7%] 2025-12-04T10:00:00.3731377Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_d2h_copy_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (This test is only for CUDA or XPU) [ 8%] 2025-12-04T10:00:00.3733022Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_dup_unbacked_sym_decl_cpu <- test/inductor/test_torchinductor.py PASSED [5.0658s] [ 9%] 2025-12-04T10:00:00.3734739Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_dynamic_smem_above_default_limit_cpu SKIPPED [0.0003s] (Skipping triton backend only since not big GPU (not enough SM)) [ 9%] 2025-12-04T10:00:00.3736365Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_fqn_cpu <- test/inductor/test_torchinductor.py PASSED [4.8206s] [ 10%] 2025-12-04T10:00:00.3737800Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_inf_cpu SKIPPED [0.0003s] (Skip this test, only for local test. SIGABRT is produced.) [ 10%] 2025-12-04T10:00:00.3739316Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_linear_freezing_cpu <- test/inductor/test_torchinductor.py PASSED [4.8363s] [ 11%] 2025-12-04T10:00:00.3740659Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_misc_1_max_autotune_True_cpu PASSED [22.6933s] [ 12%] 2025-12-04T10:00:00.3741990Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_missing_cubin_cpu <- test/inductor/test_torchinductor.py PASSED [19.1050s] [ 12%] 2025-12-04T10:00:00.3743483Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_nan_cpu SKIPPED [0.0004s] (Skip this test, only for local test. SIGABRT is produced.) [ 13%] 2025-12-04T10:00:00.3744949Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_no_args_cpu <- test/inductor/test_torchinductor.py PASSED [4.6565s] [ 13%] 2025-12-04T10:00:00.3746528Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_proxy_executor_permute_cpu <- test/inductor/test_torchinductor.py PASSED [4.7110s] [ 14%] 2025-12-04T10:00:00.3748167Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_repeated_calling_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (requires CUDA) [ 15%] 2025-12-04T10:00:00.3749796Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_runtime_checks_complex_cpu <- test/inductor/test_torchinductor.py PASSED [4.7454s] [ 15%] 2025-12-04T10:00:00.3751407Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_runtime_checks_fp8_cpu SKIPPED [0.0003s] (FP8 is only supported on H100+, SM 8.9 and MI300+ devices) [ 16%] 2025-12-04T10:00:00.3752975Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_simple_embed_kernel_binary_False_max_autotune_False_cpu PASSED [5.7303s] [ 16%] 2025-12-04T10:00:00.3754426Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_simple_embed_kernel_binary_True_max_autotune_False_cpu PASSED [5.7525s] [ 17%] 2025-12-04T10:00:00.3755871Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_simple_embed_kernel_binary_True_max_autotune_True_cpu PASSED [11.4947s] [ 18%] 2025-12-04T10:00:00.3757355Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_size_from_multi_output_cpu <- test/inductor/test_torchinductor.py PASSED [4.9268s] [ 18%] 2025-12-04T10:00:00.3758925Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_size_with_unbacked_add_expr_cpu <- test/inductor/test_torchinductor.py PASSED [5.8087s] [ 19%] 2025-12-04T10:00:00.3760536Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_small_constant_cpu <- test/inductor/test_torchinductor.py PASSED [4.7423s] [ 19%] 2025-12-04T10:00:00.3762021Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_symfloat_item_cpu <- test/inductor/test_torchinductor.py PASSED [4.6897s] [ 20%] 2025-12-04T10:00:00.3763491Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_symint_item_cpu <- test/inductor/test_torchinductor.py PASSED [4.6547s] [ 21%] 2025-12-04T10:00:00.3764988Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_sympy_cpp_printer_min_max_minmax0_cpu SKIPPED [0.0031s] (requires GPU) [ 21%] 2025-12-04T10:00:00.3766548Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_1_num_dims_2_dynamic_True_autotune_True_cpu SKIPPED [0.0028s] (requires GPU) [ 22%] 2025-12-04T10:00:00.3768244Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_2_num_dims_1_dynamic_True_autotune_False_cpu SKIPPED [0.0029s] (requires GPU) [ 22%] 2025-12-04T10:00:00.3769956Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_2_num_dims_2_dynamic_True_autotune_False_cpu SKIPPED [0.0026s] (requires GPU) [ 23%] 2025-12-04T10:00:00.3771720Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_3_num_dims_2_dynamic_False_autotune_True_cpu SKIPPED [0.0026s] (requires GPU) [ 24%] 2025-12-04T10:00:00.3773421Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_grid_type_3_num_dims_2_dynamic_True_autotune_False_cpu SKIPPED [0.0026s] (requires GPU) [ 24%] 2025-12-04T10:00:00.3775157Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_sympy_expr_arg_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0027s] (requires GPU) [ 25%] 2025-12-04T10:00:00.3776944Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_sympy_fn_like_arg_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0026s] (requires GPU) [ 25%] 2025-12-04T10:00:00.3778686Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_tma_descriptor_2d_dynamic_True_tma_version_new_cpu SKIPPED [0.0026s] (requires GPU) [ 26%] 2025-12-04T10:00:00.3780400Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_kernel_unbacked_symint_in_grid_dynamic_False_autotuning_False_cpu SKIPPED [0.0026s] (requires GPU) [ 27%] 2025-12-04T10:00:00.3782148Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_triton_next_power_of_2_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0028s] (requires GPU) [ 27%] 2025-12-04T10:00:00.3783959Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_unbacked_expr_replacements_shift_k_1_use_static_size_True_cpu SKIPPED [0.0026s] (Need triton for user-defined triton kernel) [ 28%] 2025-12-04T10:00:00.3785668Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_upper_bound_i64_cpu <- test/inductor/test_torchinductor.py PASSED [42.5051s] [ 28%] 2025-12-04T10:00:00.3787222Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_while_loop_with_outer_buffers_cpu <- test/inductor/test_torchinductor.py PASSED [5.5707s] [ 29%] 2025-12-04T10:00:00.3788822Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleCpu::test_while_loop_with_pytree_inputs_cpu <- test/inductor/test_torchinductor.py PASSED [5.3040s] [ 30%] 2025-12-04T10:00:00.3790431Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda ('RERUN', {'yellow': True}) [0.0345s] [ 30%] 2025-12-04T10:00:00.3792020Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda ('RERUN', {'yellow': True}) [0.0049s] [ 30%] 2025-12-04T10:00:00.3793532Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda FAILED [0.0048s] [ 30%] 2025-12-04T10:00:00.3794320Z 2025-12-04T10:00:00.3794558Z ==================================== RERUNS ==================================== 2025-12-04T10:00:00.3795269Z _ AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda _ 2025-12-04T10:00:00.3795973Z Traceback (most recent call last): 2025-12-04T10:00:00.3796699Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 6893, in test__weight_int4pack_mm 2025-12-04T10:00:00.3797497Z self.check_model(model, (a,)) 2025-12-04T10:00:00.3798161Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor_utils.py", line 247, in check_model 2025-12-04T10:00:00.3798867Z ref_model = copy.deepcopy(model) 2025-12-04T10:00:00.3799386Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 172, in deepcopy 2025-12-04T10:00:00.3799905Z y = _reconstruct(x, memo, *rv) 2025-12-04T10:00:00.3800430Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 271, in _reconstruct 2025-12-04T10:00:00.3800988Z state = deepcopy(state, memo) 2025-12-04T10:00:00.3801476Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 146, in deepcopy 2025-12-04T10:00:00.3801994Z y = copier(x, memo) 2025-12-04T10:00:00.3802475Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 231, in _deepcopy_dict 2025-12-04T10:00:00.3803065Z y[deepcopy(key, memo)] = deepcopy(value, memo) 2025-12-04T10:00:00.3803616Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.3804135Z y = copier(memo) 2025-12-04T10:00:00.3804952Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 180, in __deepcopy__ 2025-12-04T10:00:00.3805678Z new_storage = self._typed_storage()._deepcopy(memo) 2025-12-04T10:00:00.3806385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 1139, in _deepcopy 2025-12-04T10:00:00.3807215Z return self._new_wrapped_storage(copy.deepcopy(self._untyped_storage, memo)) 2025-12-04T10:00:00.3807900Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.3808413Z y = copier(memo) 2025-12-04T10:00:00.3809005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 243, in __deepcopy__ 2025-12-04T10:00:00.3809680Z new_storage = self.clone() 2025-12-04T10:00:00.3810253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 257, in clone 2025-12-04T10:00:00.3811063Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.3811675Z torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.3812676Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.3813935Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.3814746Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.3815297Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.3815666Z 2025-12-04T10:00:00.3815672Z 2025-12-04T10:00:00.3815885Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.3817037Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.3817972Z 2025-12-04T10:00:00.3818238Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.3819076Z _ AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda _ 2025-12-04T10:00:00.3819757Z Traceback (most recent call last): 2025-12-04T10:00:00.3820476Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 6893, in test__weight_int4pack_mm 2025-12-04T10:00:00.3821220Z self.check_model(model, (a,)) 2025-12-04T10:00:00.3822016Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor_utils.py", line 247, in check_model 2025-12-04T10:00:00.3822709Z ref_model = copy.deepcopy(model) 2025-12-04T10:00:00.3823228Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 172, in deepcopy 2025-12-04T10:00:00.3823762Z y = _reconstruct(x, memo, *rv) 2025-12-04T10:00:00.3824273Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 271, in _reconstruct 2025-12-04T10:00:00.3824914Z state = deepcopy(state, memo) 2025-12-04T10:00:00.3825415Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 146, in deepcopy 2025-12-04T10:00:00.3825932Z y = copier(x, memo) 2025-12-04T10:00:00.3826401Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 231, in _deepcopy_dict 2025-12-04T10:00:00.3827005Z y[deepcopy(key, memo)] = deepcopy(value, memo) 2025-12-04T10:00:00.3827559Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.3828061Z y = copier(memo) 2025-12-04T10:00:00.3828649Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 180, in __deepcopy__ 2025-12-04T10:00:00.3829375Z new_storage = self._typed_storage()._deepcopy(memo) 2025-12-04T10:00:00.3830075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 1139, in _deepcopy 2025-12-04T10:00:00.3830888Z return self._new_wrapped_storage(copy.deepcopy(self._untyped_storage, memo)) 2025-12-04T10:00:00.3831584Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.3832098Z y = copier(memo) 2025-12-04T10:00:00.3832670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 243, in __deepcopy__ 2025-12-04T10:00:00.3833340Z new_storage = self.clone() 2025-12-04T10:00:00.3833926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 257, in clone 2025-12-04T10:00:00.3834677Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.3835249Z torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.3836241Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.3837503Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.3838306Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.3838857Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.3839239Z 2025-12-04T10:00:00.3839244Z 2025-12-04T10:00:00.3839458Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.3840604Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.3841522Z 2025-12-04T10:00:00.3841791Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.3842357Z =================================== FAILURES =================================== 2025-12-04T10:00:00.3843077Z _ AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda _ 2025-12-04T10:00:00.3843770Z Traceback (most recent call last): 2025-12-04T10:00:00.3844481Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 6893, in test__weight_int4pack_mm 2025-12-04T10:00:00.3845218Z self.check_model(model, (a,)) 2025-12-04T10:00:00.3845883Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor_utils.py", line 247, in check_model 2025-12-04T10:00:00.3846597Z ref_model = copy.deepcopy(model) 2025-12-04T10:00:00.3847099Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 172, in deepcopy 2025-12-04T10:00:00.3847635Z y = _reconstruct(x, memo, *rv) 2025-12-04T10:00:00.3848234Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 271, in _reconstruct 2025-12-04T10:00:00.3848782Z state = deepcopy(state, memo) 2025-12-04T10:00:00.3849284Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 146, in deepcopy 2025-12-04T10:00:00.3849803Z y = copier(x, memo) 2025-12-04T10:00:00.3850289Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 231, in _deepcopy_dict 2025-12-04T10:00:00.3850944Z y[deepcopy(key, memo)] = deepcopy(value, memo) 2025-12-04T10:00:00.3851597Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.3852114Z y = copier(memo) 2025-12-04T10:00:00.3852689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 180, in __deepcopy__ 2025-12-04T10:00:00.3853422Z new_storage = self._typed_storage()._deepcopy(memo) 2025-12-04T10:00:00.3854125Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 1139, in _deepcopy 2025-12-04T10:00:00.3854958Z return self._new_wrapped_storage(copy.deepcopy(self._untyped_storage, memo)) 2025-12-04T10:00:00.3855639Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.3856152Z y = copier(memo) 2025-12-04T10:00:00.3856735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 243, in __deepcopy__ 2025-12-04T10:00:00.3857392Z new_storage = self.clone() 2025-12-04T10:00:00.3857984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 257, in clone 2025-12-04T10:00:00.3858729Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.3859314Z torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.3860294Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.3861553Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.3862361Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.3862909Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.3863275Z 2025-12-04T10:00:00.3863280Z 2025-12-04T10:00:00.3863494Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.3864637Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.3865565Z 2025-12-04T10:00:00.3865845Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.3867028Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-47b146c0aedc1125.xml - 2025-12-04T10:00:00.3868090Z =========================== short test summary info ============================ 2025-12-04T10:00:00.3869338Z FAILED [0.0048s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda - torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.3871011Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.3872277Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.3873069Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.3873624Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.3873993Z 2025-12-04T10:00:00.3874012Z 2025-12-04T10:00:00.3874228Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.3875445Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.3876366Z 2025-12-04T10:00:00.3876632Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.3877224Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T10:00:00.3877775Z ======== 1 failed, 28 passed, 22 skipped, 2 rerun in 230.78s (0:03:50) ========= 2025-12-04T10:00:00.3878312Z Got exit code 1 2025-12-04T10:00:00.3878571Z Retrying single test... 2025-12-04T10:00:00.3879201Z W1204 09:53:22.286000 5038 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:00:00.3880350Z Test results will be stored in test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-f1669169a1ee3356.xml 2025-12-04T10:00:00.3881219Z ============================= test session starts ============================== 2025-12-04T10:00:00.3881889Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:00:00.3882496Z cachedir: .pytest_cache 2025-12-04T10:00:00.3883214Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:00:00.3883991Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:00:00.3884349Z configfile: pytest.ini 2025-12-04T10:00:00.3885080Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:00:00.3885982Z collecting ... collected 934 items / 165 deselected / 769 selected 2025-12-04T10:00:00.3887219Z stepcurrent: skipping 50 already run items. Running only test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.3888338Z Running 1 items in this shard 2025-12-04T10:00:00.3888547Z 2025-12-04T10:00:00.3889809Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda [W1204 09:53:24.868803250 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T10:00:00.3891171Z 2025-12-04T10:00:00.3891323Z ('RERUN', {'yellow': True}) [15.4806s] [100%] 2025-12-04T10:00:00.3892706Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda [W1204 09:53:39.357257990 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T10:00:00.3893990Z 2025-12-04T10:00:00.3894123Z ('RERUN', {'yellow': True}) [0.0063s] [100%] 2025-12-04T10:00:00.3895520Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda [W1204 09:53:39.364016832 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T10:00:00.3896781Z 2025-12-04T10:00:00.3896898Z FAILED [0.0048s] [100%] 2025-12-04T10:00:00.3897075Z 2025-12-04T10:00:00.3897230Z ==================================== RERUNS ==================================== 2025-12-04T10:00:00.3897935Z _ AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda _ 2025-12-04T10:00:00.3898633Z Traceback (most recent call last): 2025-12-04T10:00:00.3899384Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 6893, in test__weight_int4pack_mm 2025-12-04T10:00:00.3900111Z self.check_model(model, (a,)) 2025-12-04T10:00:00.3900775Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor_utils.py", line 247, in check_model 2025-12-04T10:00:00.3901510Z ref_model = copy.deepcopy(model) 2025-12-04T10:00:00.3902215Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 172, in deepcopy 2025-12-04T10:00:00.3902738Z y = _reconstruct(x, memo, *rv) 2025-12-04T10:00:00.3903377Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 271, in _reconstruct 2025-12-04T10:00:00.3903936Z state = deepcopy(state, memo) 2025-12-04T10:00:00.3904417Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 146, in deepcopy 2025-12-04T10:00:00.3905118Z y = copier(x, memo) 2025-12-04T10:00:00.3905604Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 231, in _deepcopy_dict 2025-12-04T10:00:00.3906304Z y[deepcopy(key, memo)] = deepcopy(value, memo) 2025-12-04T10:00:00.3906861Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.3907376Z y = copier(memo) 2025-12-04T10:00:00.3907962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 180, in __deepcopy__ 2025-12-04T10:00:00.3908679Z new_storage = self._typed_storage()._deepcopy(memo) 2025-12-04T10:00:00.3909386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 1139, in _deepcopy 2025-12-04T10:00:00.3910217Z return self._new_wrapped_storage(copy.deepcopy(self._untyped_storage, memo)) 2025-12-04T10:00:00.3910902Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.3911417Z y = copier(memo) 2025-12-04T10:00:00.3912163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 243, in __deepcopy__ 2025-12-04T10:00:00.3912837Z new_storage = self.clone() 2025-12-04T10:00:00.3913416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 257, in clone 2025-12-04T10:00:00.3914157Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.3914744Z torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.3915731Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.3916994Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.3917799Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.3918353Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.3918718Z 2025-12-04T10:00:00.3919330Z Exception raised from copy_device_to_device at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Copy.cu:337 (most recent call first): 2025-12-04T10:00:00.3920208Z C++ CapturedTraceback: 2025-12-04T10:00:00.3921800Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T10:00:00.3923735Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T10:00:00.3925034Z #6 c10::AcceleratorError::AcceleratorError(c10::SourceLocation, int, std::__cxx11::basic_string, std::allocator > const&) from :0 2025-12-04T10:00:00.3926193Z #7 c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, unsigned int, bool) from ??:0 2025-12-04T10:00:00.3926981Z #8 at::native::copy_device_to_device(at::TensorIterator&, bool, bool) from ??:0 2025-12-04T10:00:00.3927715Z #9 at::native::copy_impl(at::Tensor&, at::Tensor const&, bool) [clone .isra.0] from Copy.cpp:0 2025-12-04T10:00:00.3928390Z #10 at::native::copy_(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.3931083Z #11 c10::impl::wrap_kernel_functor_unboxed_, at::Tensor&, c10::guts::typelist::typelist >, at::Tensor& (c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.3934015Z #12 torch::autograd::VariableType::(anonymous namespace)::copy_(c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.3934980Z #13 at::_ops::copy_::call(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.3935650Z #14 at::storage_copy(c10::Storage&, c10::Storage const&, bool) from ??:0 2025-12-04T10:00:00.3936289Z #15 THPStorage_copy_(_object*, _object*, _object*) from StorageMethods.cpp:0 2025-12-04T10:00:00.3937112Z #16 method_vectorcall_VARARGS_KEYWORDS from /usr/local/src/conda/python-3.10.14/Objects/descrobject.c:344 2025-12-04T10:00:00.3938105Z #17 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3939049Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3939993Z #19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3940920Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3941848Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3942783Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3943710Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3944630Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3945558Z #25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3946487Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3947414Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3948332Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3949266Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3950196Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3951121Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3952034Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3952967Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3953899Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3954672Z #35 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.3955454Z #36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3956382Z #37 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3957321Z #38 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3958239Z #39 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3959166Z #40 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3959981Z #41 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.3960683Z #42 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.3961519Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3962337Z #44 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.3963036Z #45 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.3963801Z #46 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3964680Z #47 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.3965370Z #48 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.3966149Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3967075Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3968012Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3968798Z #52 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.3969575Z #53 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3970493Z #54 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3971518Z #55 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3972455Z #56 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3973388Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3974306Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3975248Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3976177Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3977090Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3977901Z #62 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.3978599Z #63 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.3979372Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3980233Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.3981036Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.3981784Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.3982538Z #68 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.3983389Z #69 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.3984319Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3985249Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3986184Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3986954Z #73 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.3987727Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3988651Z #75 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3989639Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3990567Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3991493Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3992363Z #79 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.3993239Z #80 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.3993991Z #81 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.3994705Z #82 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T10:00:00.3995385Z #83 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.3996153Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3997096Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3998028Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.3998943Z #87 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.3999870Z #88 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4000653Z #89 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4001432Z #90 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4002353Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4003279Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4004212Z #93 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4005356Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4006124Z #95 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4006923Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4007860Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4008789Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4009708Z #99 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4010653Z #100 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4011641Z #101 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4012451Z #102 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4013219Z #103 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4013980Z #104 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4014867Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4015807Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4016611Z #107 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4017412Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4018478Z #109 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4019418Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4020364Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4021310Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4022348Z #113 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4023151Z #114 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4023919Z #115 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4024685Z #116 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4025546Z #117 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4026497Z #118 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4027443Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4028390Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4029322Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4030264Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4031176Z #123 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4031978Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4032908Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4033854Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4034799Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4035745Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4036626Z #129 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4037445Z #130 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4038210Z #131 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4038954Z #132 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4039825Z #133 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4040777Z #134 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4041719Z #135 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4042651Z #136 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4043591Z #137 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4044535Z #138 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4045478Z #139 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4046405Z #140 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4047345Z #141 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4048363Z #142 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4049193Z #143 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T10:00:00.4049939Z #144 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T10:00:00.4050678Z #145 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T10:00:00.4051539Z #146 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T10:00:00.4052321Z #147 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T10:00:00.4053164Z #148 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T10:00:00.4053941Z #149 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T10:00:00.4054662Z #150 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T10:00:00.4055344Z #151 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T10:00:00.4055964Z #152 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T10:00:00.4056405Z #153 _start from ??:0 2025-12-04T10:00:00.4056694Z #154 from ??:0 2025-12-04T10:00:00.4056939Z 2025-12-04T10:00:00.4056945Z 2025-12-04T10:00:00.4057160Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.4058311Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4059234Z 2025-12-04T10:00:00.4059516Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.4060144Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:00:00.4061642Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py:257: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T10:00:00.4063145Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4063938Z _ AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda _ 2025-12-04T10:00:00.4064624Z Traceback (most recent call last): 2025-12-04T10:00:00.4065340Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 6893, in test__weight_int4pack_mm 2025-12-04T10:00:00.4066081Z self.check_model(model, (a,)) 2025-12-04T10:00:00.4066744Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor_utils.py", line 247, in check_model 2025-12-04T10:00:00.4067435Z ref_model = copy.deepcopy(model) 2025-12-04T10:00:00.4067950Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 172, in deepcopy 2025-12-04T10:00:00.4068483Z y = _reconstruct(x, memo, *rv) 2025-12-04T10:00:00.4068991Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 271, in _reconstruct 2025-12-04T10:00:00.4069541Z state = deepcopy(state, memo) 2025-12-04T10:00:00.4070037Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 146, in deepcopy 2025-12-04T10:00:00.4070550Z y = copier(x, memo) 2025-12-04T10:00:00.4071021Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 231, in _deepcopy_dict 2025-12-04T10:00:00.4071631Z y[deepcopy(key, memo)] = deepcopy(value, memo) 2025-12-04T10:00:00.4072182Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4072682Z y = copier(memo) 2025-12-04T10:00:00.4073274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 180, in __deepcopy__ 2025-12-04T10:00:00.4074001Z new_storage = self._typed_storage()._deepcopy(memo) 2025-12-04T10:00:00.4074789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 1139, in _deepcopy 2025-12-04T10:00:00.4075603Z return self._new_wrapped_storage(copy.deepcopy(self._untyped_storage, memo)) 2025-12-04T10:00:00.4076297Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4076813Z y = copier(memo) 2025-12-04T10:00:00.4077388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 243, in __deepcopy__ 2025-12-04T10:00:00.4078125Z new_storage = self.clone() 2025-12-04T10:00:00.4078711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 257, in clone 2025-12-04T10:00:00.4079456Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4080028Z torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.4081034Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.4082297Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.4083089Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.4083650Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.4084031Z 2025-12-04T10:00:00.4084641Z Exception raised from copy_device_to_device at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Copy.cu:337 (most recent call first): 2025-12-04T10:00:00.4085511Z C++ CapturedTraceback: 2025-12-04T10:00:00.4087014Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T10:00:00.4088954Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T10:00:00.4090244Z #6 c10::AcceleratorError::AcceleratorError(c10::SourceLocation, int, std::__cxx11::basic_string, std::allocator > const&) from :0 2025-12-04T10:00:00.4091527Z #7 c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, unsigned int, bool) from ??:0 2025-12-04T10:00:00.4092320Z #8 at::native::copy_device_to_device(at::TensorIterator&, bool, bool) from ??:0 2025-12-04T10:00:00.4093034Z #9 at::native::copy_impl(at::Tensor&, at::Tensor const&, bool) [clone .isra.0] from Copy.cpp:0 2025-12-04T10:00:00.4093709Z #10 at::native::copy_(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4096239Z #11 c10::impl::wrap_kernel_functor_unboxed_, at::Tensor&, c10::guts::typelist::typelist >, at::Tensor& (c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4099132Z #12 torch::autograd::VariableType::(anonymous namespace)::copy_(c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4100110Z #13 at::_ops::copy_::call(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4100687Z #14 at::storage_copy(c10::Storage&, c10::Storage const&, bool) from ??:0 2025-12-04T10:00:00.4101320Z #15 THPStorage_copy_(_object*, _object*, _object*) from StorageMethods.cpp:0 2025-12-04T10:00:00.4102155Z #16 method_vectorcall_VARARGS_KEYWORDS from /usr/local/src/conda/python-3.10.14/Objects/descrobject.c:344 2025-12-04T10:00:00.4103126Z #17 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4104162Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4105252Z #19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4106188Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4107107Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4108158Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4109085Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4110006Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4110921Z #25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4111850Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4112777Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4113707Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4114623Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4115561Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4116489Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4117412Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4118326Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4119259Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4120048Z #35 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4120815Z #36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4121743Z #37 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4122669Z #38 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4123593Z #39 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4124507Z #40 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4125326Z #41 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4126028Z #42 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4126807Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4127608Z #44 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4128304Z #45 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4129090Z #46 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4129892Z #47 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4130590Z #48 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4131456Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4132502Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4133541Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4134329Z #52 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4135109Z #53 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4136042Z #54 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4137023Z #55 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4137954Z #56 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4138884Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4139814Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4140731Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4141659Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4142591Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4143391Z #62 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4144092Z #63 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4144871Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4145741Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4146532Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4147290Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4148037Z #68 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4148903Z #69 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4149819Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4150749Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4151676Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4152444Z #73 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4153334Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4154266Z #75 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4155203Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4156122Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4157048Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4157920Z #79 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4158730Z #80 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4159469Z #81 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4160183Z #82 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T10:00:00.4160860Z #83 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4161726Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4162648Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4163575Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4164500Z #87 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4165483Z #88 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4166264Z #89 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4167042Z #90 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4167971Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4168901Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4169827Z #93 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4170753Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4171611Z #95 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4172388Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4173327Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4174260Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4175193Z #99 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4176126Z #100 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4177021Z #101 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4177846Z #102 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4178603Z #103 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4179366Z #104 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4180248Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4181198Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4181983Z #107 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4182777Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4183725Z #109 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4184669Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4185596Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4186537Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4187424Z #113 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4188239Z #114 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4188986Z #115 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4189742Z #116 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4190685Z #117 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4191619Z #118 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4192562Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4193508Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4194513Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4195447Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4196241Z #123 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4197035Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4197981Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4198906Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4199843Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4200781Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4201671Z #129 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4202468Z #130 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4203232Z #131 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4203986Z #132 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4205008Z #133 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4205958Z #134 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4206901Z #135 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4207843Z #136 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4208777Z #137 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4209724Z #138 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4210668Z #139 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4211680Z #140 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4212618Z #141 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4213568Z #142 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4214404Z #143 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T10:00:00.4215162Z #144 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T10:00:00.4215888Z #145 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T10:00:00.4216597Z #146 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T10:00:00.4217384Z #147 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T10:00:00.4218200Z #148 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T10:00:00.4218972Z #149 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T10:00:00.4219821Z #150 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T10:00:00.4220515Z #151 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T10:00:00.4221117Z #152 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T10:00:00.4221560Z #153 _start from ??:0 2025-12-04T10:00:00.4221867Z #154 from ??:0 2025-12-04T10:00:00.4222100Z 2025-12-04T10:00:00.4222181Z 2025-12-04T10:00:00.4222398Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.4223546Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4224484Z 2025-12-04T10:00:00.4224753Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.4225397Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:00:00.4226900Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py:257: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T10:00:00.4228390Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4228905Z =================================== FAILURES =================================== 2025-12-04T10:00:00.4229632Z _ AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda _ 2025-12-04T10:00:00.4230311Z Traceback (most recent call last): 2025-12-04T10:00:00.4231027Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 6893, in test__weight_int4pack_mm 2025-12-04T10:00:00.4231767Z self.check_model(model, (a,)) 2025-12-04T10:00:00.4232435Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor_utils.py", line 247, in check_model 2025-12-04T10:00:00.4233126Z ref_model = copy.deepcopy(model) 2025-12-04T10:00:00.4233652Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 172, in deepcopy 2025-12-04T10:00:00.4234180Z y = _reconstruct(x, memo, *rv) 2025-12-04T10:00:00.4234689Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 271, in _reconstruct 2025-12-04T10:00:00.4235244Z state = deepcopy(state, memo) 2025-12-04T10:00:00.4235744Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 146, in deepcopy 2025-12-04T10:00:00.4236268Z y = copier(x, memo) 2025-12-04T10:00:00.4236741Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 231, in _deepcopy_dict 2025-12-04T10:00:00.4237341Z y[deepcopy(key, memo)] = deepcopy(value, memo) 2025-12-04T10:00:00.4237895Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4238394Z y = copier(memo) 2025-12-04T10:00:00.4238981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 180, in __deepcopy__ 2025-12-04T10:00:00.4239713Z new_storage = self._typed_storage()._deepcopy(memo) 2025-12-04T10:00:00.4240414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 1139, in _deepcopy 2025-12-04T10:00:00.4241224Z return self._new_wrapped_storage(copy.deepcopy(self._untyped_storage, memo)) 2025-12-04T10:00:00.4241917Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4242433Z y = copier(memo) 2025-12-04T10:00:00.4243004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 243, in __deepcopy__ 2025-12-04T10:00:00.4243681Z new_storage = self.clone() 2025-12-04T10:00:00.4244269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 257, in clone 2025-12-04T10:00:00.4245012Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4245584Z torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.4246657Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.4247923Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.4248719Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.4249276Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.4249717Z 2025-12-04T10:00:00.4250329Z Exception raised from copy_device_to_device at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Copy.cu:337 (most recent call first): 2025-12-04T10:00:00.4251286Z C++ CapturedTraceback: 2025-12-04T10:00:00.4252797Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T10:00:00.4254737Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T10:00:00.4256031Z #6 c10::AcceleratorError::AcceleratorError(c10::SourceLocation, int, std::__cxx11::basic_string, std::allocator > const&) from :0 2025-12-04T10:00:00.4277093Z #7 c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, unsigned int, bool) from ??:0 2025-12-04T10:00:00.4278070Z #8 at::native::copy_device_to_device(at::TensorIterator&, bool, bool) from ??:0 2025-12-04T10:00:00.4278788Z #9 at::native::copy_impl(at::Tensor&, at::Tensor const&, bool) [clone .isra.0] from Copy.cpp:0 2025-12-04T10:00:00.4279461Z #10 at::native::copy_(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4281996Z #11 c10::impl::wrap_kernel_functor_unboxed_, at::Tensor&, c10::guts::typelist::typelist >, at::Tensor& (c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4284894Z #12 torch::autograd::VariableType::(anonymous namespace)::copy_(c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4285883Z #13 at::_ops::copy_::call(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4286472Z #14 at::storage_copy(c10::Storage&, c10::Storage const&, bool) from ??:0 2025-12-04T10:00:00.4287115Z #15 THPStorage_copy_(_object*, _object*, _object*) from StorageMethods.cpp:0 2025-12-04T10:00:00.4287955Z #16 method_vectorcall_VARARGS_KEYWORDS from /usr/local/src/conda/python-3.10.14/Objects/descrobject.c:344 2025-12-04T10:00:00.4288953Z #17 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4289885Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4290827Z #19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4291853Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4292802Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4293722Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4294657Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4295591Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4296639Z #25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4297577Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4298515Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4299562Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4300487Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4301421Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4302355Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4303294Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4304214Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4305312Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4306102Z #35 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4306889Z #36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4307815Z #37 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4308749Z #38 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4309684Z #39 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4310602Z #40 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4311422Z #41 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4312128Z #42 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4312908Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4313717Z #44 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4314425Z #45 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4315207Z #46 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4316024Z #47 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4316709Z #48 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4317490Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4318420Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4319337Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4320118Z #52 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4320896Z #53 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4321828Z #54 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4322747Z #55 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4323675Z #56 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4324603Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4325646Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4326581Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4327494Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4328514Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4329332Z #62 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4330035Z #63 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4330799Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4331775Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4332592Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4333335Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4334086Z #68 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4334944Z #69 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4335877Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4336793Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4337718Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4338498Z #73 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4339285Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4340202Z #75 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4341132Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4342057Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4342990Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4343846Z #79 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4344653Z #80 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4345407Z #81 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4346103Z #82 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T10:00:00.4346782Z #83 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4347556Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4348485Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4349401Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4350333Z #87 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4351257Z #88 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4352037Z #89 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4352801Z #90 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4353806Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4354743Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4355664Z #93 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4356594Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4357436Z #95 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4358211Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4359127Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4360167Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4361100Z #99 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4362036Z #100 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4362912Z #101 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4363726Z #102 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4364495Z #103 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4365253Z #104 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4366115Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4367057Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4367854Z #107 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4368640Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4369589Z #109 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4370538Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4371563Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4372493Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4373382Z #113 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4374197Z #114 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4374961Z #115 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4375708Z #116 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4376581Z #117 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4377524Z #118 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4378466Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4379398Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4380342Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4381283Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4382061Z #123 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4382935Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4383887Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4384831Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4385760Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4386764Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4387646Z #129 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4388459Z #130 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4389204Z #131 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4389964Z #132 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4390839Z #133 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4391779Z #134 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4392707Z #135 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4393648Z #136 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4394592Z #137 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4395520Z #138 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4396761Z #139 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4397712Z #140 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4398669Z #141 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4399603Z #142 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4400428Z #143 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T10:00:00.4401171Z #144 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T10:00:00.4401896Z #145 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T10:00:00.4402593Z #146 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T10:00:00.4403490Z #147 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T10:00:00.4404311Z #148 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T10:00:00.4405275Z #149 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T10:00:00.4405986Z #150 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T10:00:00.4406668Z #151 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T10:00:00.4407265Z #152 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T10:00:00.4407707Z #153 _start from ??:0 2025-12-04T10:00:00.4408010Z #154 from ??:0 2025-12-04T10:00:00.4408246Z 2025-12-04T10:00:00.4408252Z 2025-12-04T10:00:00.4408469Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.4409617Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4410550Z 2025-12-04T10:00:00.4410946Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.4411652Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:00:00.4413130Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py:257: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T10:00:00.4414736Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4415849Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-f1669169a1ee3356.xml - 2025-12-04T10:00:00.4416917Z =========================== short test summary info ============================ 2025-12-04T10:00:00.4418147Z FAILED [0.0048s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda - torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.4419807Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.4421055Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.4421859Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.4422410Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.4422775Z 2025-12-04T10:00:00.4423381Z Exception raised from copy_device_to_device at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Copy.cu:337 (most recent call first): 2025-12-04T10:00:00.4424240Z C++ CapturedTraceback: 2025-12-04T10:00:00.4425735Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T10:00:00.4427659Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T10:00:00.4428926Z #6 c10::AcceleratorError::AcceleratorError(c10::SourceLocation, int, std::__cxx11::basic_string, std::allocator > const&) from :0 2025-12-04T10:00:00.4430100Z #7 c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, unsigned int, bool) from ??:0 2025-12-04T10:00:00.4430871Z #8 at::native::copy_device_to_device(at::TensorIterator&, bool, bool) from ??:0 2025-12-04T10:00:00.4431579Z #9 at::native::copy_impl(at::Tensor&, at::Tensor const&, bool) [clone .isra.0] from Copy.cpp:0 2025-12-04T10:00:00.4432233Z #10 at::native::copy_(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4434737Z #11 c10::impl::wrap_kernel_functor_unboxed_, at::Tensor&, c10::guts::typelist::typelist >, at::Tensor& (c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4437606Z #12 torch::autograd::VariableType::(anonymous namespace)::copy_(c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4438564Z #13 at::_ops::copy_::call(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4439149Z #14 at::storage_copy(c10::Storage&, c10::Storage const&, bool) from ??:0 2025-12-04T10:00:00.4439769Z #15 THPStorage_copy_(_object*, _object*, _object*) from StorageMethods.cpp:0 2025-12-04T10:00:00.4440655Z #16 method_vectorcall_VARARGS_KEYWORDS from /usr/local/src/conda/python-3.10.14/Objects/descrobject.c:344 2025-12-04T10:00:00.4441634Z #17 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4442564Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4443480Z #19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4444462Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4445381Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4446296Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4447214Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4448134Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4449057Z #25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4449966Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4450885Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4451908Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4452829Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4453744Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4454665Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4455596Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4456522Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4457433Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4458208Z #35 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4458983Z #36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4459896Z #37 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4460812Z #38 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4461729Z #39 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4462654Z #40 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4463451Z #41 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4464141Z #42 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4464907Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4465719Z #44 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4466399Z #45 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4467165Z #46 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4467969Z #47 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4468655Z #48 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4469563Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4470484Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4471401Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4472162Z #52 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4472993Z #53 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4473912Z #54 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4474828Z #55 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4475736Z #56 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4476655Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4477572Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4478493Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4479398Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4480328Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4481134Z #62 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4481826Z #63 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4482586Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4483452Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4484248Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4484979Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4485713Z #68 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4486573Z #69 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4487504Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4488411Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4489324Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4490096Z #73 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4490875Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4491876Z #75 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4492800Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4493720Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4494632Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4495501Z #79 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4496297Z #80 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4497043Z #81 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4497814Z #82 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T10:00:00.4498481Z #83 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4499258Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4500196Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4501174Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4502102Z #87 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4503030Z #88 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4503812Z #89 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4504725Z #90 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4505665Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4506594Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4507510Z #93 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4508442Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4509219Z #95 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4509995Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4510910Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4511839Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4512768Z #99 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4513708Z #100 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4514584Z #101 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4515399Z #102 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4516167Z #103 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4516923Z #104 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4517787Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4518731Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4519526Z #107 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4520308Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4521246Z #109 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4522190Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4523139Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4524066Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4524947Z #113 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4525763Z #114 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4526655Z #115 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4527402Z #116 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4528278Z #117 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4529229Z #118 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4530242Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4531252Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4532272Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4533256Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4534045Z #123 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4534843Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4535782Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4536727Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4537656Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4538596Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4539481Z #129 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4540296Z #130 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4541044Z #131 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4541805Z #132 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4542681Z #133 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4543614Z #134 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4544562Z #135 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4545508Z #136 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4546452Z #137 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4547388Z #138 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4548331Z #139 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4549281Z #140 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4550220Z #141 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4551150Z #142 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4551981Z #143 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T10:00:00.4552735Z #144 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T10:00:00.4553471Z #145 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T10:00:00.4554162Z #146 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T10:00:00.4554949Z #147 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T10:00:00.4555865Z #148 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T10:00:00.4556628Z #149 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T10:00:00.4557346Z #150 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T10:00:00.4558040Z #151 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T10:00:00.4558727Z #152 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T10:00:00.4559163Z #153 _start from ??:0 2025-12-04T10:00:00.4559465Z #154 from ??:0 2025-12-04T10:00:00.4559700Z 2025-12-04T10:00:00.4559706Z 2025-12-04T10:00:00.4559932Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.4561083Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4562006Z 2025-12-04T10:00:00.4562278Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.4562870Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T10:00:00.4563406Z ================= 1 failed, 165 deselected, 2 rerun in 15.58s ================== 2025-12-04T10:00:00.4563843Z Got exit code 1 2025-12-04T10:00:00.4564115Z Retrying single test... 2025-12-04T10:00:00.4564746Z W1204 09:53:49.383000 5159 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:00:00.4565907Z Test results will be stored in test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-412bfccfec3cedfc.xml 2025-12-04T10:00:00.4566778Z ============================= test session starts ============================== 2025-12-04T10:00:00.4567448Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:00:00.4568053Z cachedir: .pytest_cache 2025-12-04T10:00:00.4568771Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:00:00.4569545Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:00:00.4569899Z configfile: pytest.ini 2025-12-04T10:00:00.4570633Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:00:00.4571635Z collecting ... collected 934 items / 165 deselected / 769 selected 2025-12-04T10:00:00.4572883Z stepcurrent: skipping 50 already run items. Running only test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4574004Z Running 1 items in this shard 2025-12-04T10:00:00.4574218Z 2025-12-04T10:00:00.4575386Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda [W1204 09:53:51.969547579 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T10:00:00.4576661Z 2025-12-04T10:00:00.4576809Z ('RERUN', {'yellow': True}) [15.4374s] [100%] 2025-12-04T10:00:00.4578199Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda [W1204 09:54:06.414421288 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T10:00:00.4579488Z 2025-12-04T10:00:00.4579616Z ('RERUN', {'yellow': True}) [0.0064s] [100%] 2025-12-04T10:00:00.4581011Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda [W1204 09:54:06.421141788 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T10:00:00.4582267Z 2025-12-04T10:00:00.4582385Z FAILED [0.0048s] [100%] 2025-12-04T10:00:00.4582561Z 2025-12-04T10:00:00.4582802Z ==================================== RERUNS ==================================== 2025-12-04T10:00:00.4583525Z _ AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda _ 2025-12-04T10:00:00.4584224Z Traceback (most recent call last): 2025-12-04T10:00:00.4584945Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 6893, in test__weight_int4pack_mm 2025-12-04T10:00:00.4585736Z self.check_model(model, (a,)) 2025-12-04T10:00:00.4586402Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor_utils.py", line 247, in check_model 2025-12-04T10:00:00.4587102Z ref_model = copy.deepcopy(model) 2025-12-04T10:00:00.4587612Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 172, in deepcopy 2025-12-04T10:00:00.4588146Z y = _reconstruct(x, memo, *rv) 2025-12-04T10:00:00.4588667Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 271, in _reconstruct 2025-12-04T10:00:00.4589220Z state = deepcopy(state, memo) 2025-12-04T10:00:00.4589707Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 146, in deepcopy 2025-12-04T10:00:00.4590218Z y = copier(x, memo) 2025-12-04T10:00:00.4590703Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 231, in _deepcopy_dict 2025-12-04T10:00:00.4591290Z y[deepcopy(key, memo)] = deepcopy(value, memo) 2025-12-04T10:00:00.4591846Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4592357Z y = copier(memo) 2025-12-04T10:00:00.4592942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 180, in __deepcopy__ 2025-12-04T10:00:00.4593656Z new_storage = self._typed_storage()._deepcopy(memo) 2025-12-04T10:00:00.4594355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 1139, in _deepcopy 2025-12-04T10:00:00.4595179Z return self._new_wrapped_storage(copy.deepcopy(self._untyped_storage, memo)) 2025-12-04T10:00:00.4595862Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4596373Z y = copier(memo) 2025-12-04T10:00:00.4596962Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 243, in __deepcopy__ 2025-12-04T10:00:00.4597628Z new_storage = self.clone() 2025-12-04T10:00:00.4598200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 257, in clone 2025-12-04T10:00:00.4598942Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4599525Z torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.4600513Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.4601769Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.4602569Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.4603120Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.4603485Z 2025-12-04T10:00:00.4604103Z Exception raised from copy_device_to_device at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Copy.cu:337 (most recent call first): 2025-12-04T10:00:00.4605138Z C++ CapturedTraceback: 2025-12-04T10:00:00.4606649Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T10:00:00.4608590Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T10:00:00.4609982Z #6 c10::AcceleratorError::AcceleratorError(c10::SourceLocation, int, std::__cxx11::basic_string, std::allocator > const&) from :0 2025-12-04T10:00:00.4611239Z #7 c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, unsigned int, bool) from ??:0 2025-12-04T10:00:00.4612031Z #8 at::native::copy_device_to_device(at::TensorIterator&, bool, bool) from ??:0 2025-12-04T10:00:00.4612749Z #9 at::native::copy_impl(at::Tensor&, at::Tensor const&, bool) [clone .isra.0] from Copy.cpp:0 2025-12-04T10:00:00.4613492Z #10 at::native::copy_(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4615998Z #11 c10::impl::wrap_kernel_functor_unboxed_, at::Tensor&, c10::guts::typelist::typelist >, at::Tensor& (c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4618889Z #12 torch::autograd::VariableType::(anonymous namespace)::copy_(c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4619857Z #13 at::_ops::copy_::call(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4620449Z #14 at::storage_copy(c10::Storage&, c10::Storage const&, bool) from ??:0 2025-12-04T10:00:00.4621075Z #15 THPStorage_copy_(_object*, _object*, _object*) from StorageMethods.cpp:0 2025-12-04T10:00:00.4621907Z #16 method_vectorcall_VARARGS_KEYWORDS from /usr/local/src/conda/python-3.10.14/Objects/descrobject.c:344 2025-12-04T10:00:00.4622884Z #17 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4623818Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4624741Z #19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4625669Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4626598Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4627521Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4628440Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4629364Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4630287Z #25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4631210Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4632132Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4633148Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4634075Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4634986Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4635927Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4636856Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4637784Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4638702Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4639071Z #35 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4639446Z #36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4639859Z #37 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4640227Z #38 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4640693Z #39 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4641075Z #40 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4641369Z #41 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4641640Z #42 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4642009Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4642305Z #44 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4642573Z #45 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4642945Z #46 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4643234Z #47 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4643507Z #48 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4643876Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4644293Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4644663Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4644923Z #52 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4645304Z #53 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4645711Z #54 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4646094Z #55 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4646505Z #56 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4646874Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4647291Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4647659Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4648066Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4648448Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4648740Z #62 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4649011Z #63 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4649385Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4649732Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4650052Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4650344Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4650661Z #68 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4651221Z #69 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4651595Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4652016Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4652388Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4652722Z #73 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4653091Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4653496Z #75 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4653899Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4654413Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4654785Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4655153Z #79 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4655458Z #80 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4655775Z #81 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4656043Z #82 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T10:00:00.4656303Z #83 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4656695Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4657102Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4657492Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4657897Z #87 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4658268Z #88 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4658547Z #89 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4658917Z #90 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4659324Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4659708Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4660114Z #93 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4660503Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4660763Z #95 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4661129Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4661543Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4661914Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4662332Z #99 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4662711Z #100 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4663065Z #101 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4663457Z #102 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4663759Z #103 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4664075Z #104 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4664490Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4664929Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4665203Z #107 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4665581Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4665994Z #109 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4666389Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4666803Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4667191Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4667547Z #113 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4667861Z #114 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4668171Z #115 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4668479Z #116 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4668905Z #117 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4669287Z #118 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4669702Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4670092Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4670503Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4670896Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4671161Z #123 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4671539Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4671962Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4672342Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4672756Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4673140Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4673494Z #129 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4673820Z #130 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4674117Z #131 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4674423Z #132 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4674848Z #133 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4675226Z #134 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4675707Z #135 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4676086Z #136 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4676499Z #137 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4676886Z #138 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4677396Z #139 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4677786Z #140 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4678201Z #141 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4678578Z #142 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4678887Z #143 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T10:00:00.4679198Z #144 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T10:00:00.4679467Z #145 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T10:00:00.4679764Z #146 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T10:00:00.4680122Z #147 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T10:00:00.4680462Z #148 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T10:00:00.4680753Z #149 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T10:00:00.4681023Z #150 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T10:00:00.4681302Z #151 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T10:00:00.4681504Z #152 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T10:00:00.4681623Z #153 _start from ??:0 2025-12-04T10:00:00.4681744Z #154 from ??:0 2025-12-04T10:00:00.4681750Z 2025-12-04T10:00:00.4681755Z 2025-12-04T10:00:00.4681974Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.4682786Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4682796Z 2025-12-04T10:00:00.4683065Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.4683303Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:00:00.4684436Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py:257: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T10:00:00.4684665Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4685109Z _ AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda _ 2025-12-04T10:00:00.4685236Z Traceback (most recent call last): 2025-12-04T10:00:00.4685724Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 6893, in test__weight_int4pack_mm 2025-12-04T10:00:00.4685847Z self.check_model(model, (a,)) 2025-12-04T10:00:00.4686279Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor_utils.py", line 247, in check_model 2025-12-04T10:00:00.4686414Z ref_model = copy.deepcopy(model) 2025-12-04T10:00:00.4686688Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 172, in deepcopy 2025-12-04T10:00:00.4686802Z y = _reconstruct(x, memo, *rv) 2025-12-04T10:00:00.4687100Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 271, in _reconstruct 2025-12-04T10:00:00.4687275Z state = deepcopy(state, memo) 2025-12-04T10:00:00.4687552Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 146, in deepcopy 2025-12-04T10:00:00.4687655Z y = copier(x, memo) 2025-12-04T10:00:00.4687950Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 231, in _deepcopy_dict 2025-12-04T10:00:00.4688117Z y[deepcopy(key, memo)] = deepcopy(value, memo) 2025-12-04T10:00:00.4688441Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4688538Z y = copier(memo) 2025-12-04T10:00:00.4688960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 180, in __deepcopy__ 2025-12-04T10:00:00.4689130Z new_storage = self._typed_storage()._deepcopy(memo) 2025-12-04T10:00:00.4689521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 1139, in _deepcopy 2025-12-04T10:00:00.4689811Z return self._new_wrapped_storage(copy.deepcopy(self._untyped_storage, memo)) 2025-12-04T10:00:00.4690078Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4690188Z y = copier(memo) 2025-12-04T10:00:00.4690598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 243, in __deepcopy__ 2025-12-04T10:00:00.4690714Z new_storage = self.clone() 2025-12-04T10:00:00.4691209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 257, in clone 2025-12-04T10:00:00.4691445Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4691664Z torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.4692329Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.4692810Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.4693012Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.4693247Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.4693253Z 2025-12-04T10:00:00.4693870Z Exception raised from copy_device_to_device at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Copy.cu:337 (most recent call first): 2025-12-04T10:00:00.4693993Z C++ CapturedTraceback: 2025-12-04T10:00:00.4695318Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T10:00:00.4695813Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T10:00:00.4696482Z #6 c10::AcceleratorError::AcceleratorError(c10::SourceLocation, int, std::__cxx11::basic_string, std::allocator > const&) from :0 2025-12-04T10:00:00.4696861Z #7 c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, unsigned int, bool) from ??:0 2025-12-04T10:00:00.4697127Z #8 at::native::copy_device_to_device(at::TensorIterator&, bool, bool) from ??:0 2025-12-04T10:00:00.4697433Z #9 at::native::copy_impl(at::Tensor&, at::Tensor const&, bool) [clone .isra.0] from Copy.cpp:0 2025-12-04T10:00:00.4697659Z #10 at::native::copy_(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4699876Z #11 c10::impl::wrap_kernel_functor_unboxed_, at::Tensor&, c10::guts::typelist::typelist >, at::Tensor& (c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4700499Z #12 torch::autograd::VariableType::(anonymous namespace)::copy_(c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4700716Z #13 at::_ops::copy_::call(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4700948Z #14 at::storage_copy(c10::Storage&, c10::Storage const&, bool) from ??:0 2025-12-04T10:00:00.4701278Z #15 THPStorage_copy_(_object*, _object*, _object*) from StorageMethods.cpp:0 2025-12-04T10:00:00.4701702Z #16 method_vectorcall_VARARGS_KEYWORDS from /usr/local/src/conda/python-3.10.14/Objects/descrobject.c:344 2025-12-04T10:00:00.4702126Z #17 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4702500Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4702912Z #19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4703297Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4703698Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4704082Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4704646Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4705016Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4705435Z #25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4705802Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4706222Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4706591Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4706993Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4707373Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4707781Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4708165Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4708568Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4708936Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4709213Z #35 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4709582Z #36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4709984Z #37 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4710365Z #38 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4710774Z #39 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4711150Z #40 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4711446Z #41 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4711703Z #42 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4712184Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4712480Z #44 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4712749Z #45 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4713118Z #46 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4713489Z #47 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4713753Z #48 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4714123Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4714530Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4714912Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4715177Z #52 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4715561Z #53 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4715967Z #54 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4716347Z #55 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4716774Z #56 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4717143Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4717564Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4717934Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4718342Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4718727Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4719019Z #62 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4719291Z #63 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4719668Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4720019Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4720341Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4720637Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4720948Z #68 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4721372Z #69 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4721743Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4722166Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4722539Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4722797Z #73 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4723182Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4723586Z #75 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4723970Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4724436Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4724808Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4725174Z #79 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4725480Z #80 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4725863Z #81 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4726138Z #82 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T10:00:00.4726396Z #83 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4726782Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4727195Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4727565Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4727987Z #87 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4728356Z #88 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4728633Z #89 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4729003Z #90 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4729408Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4729792Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4730201Z #93 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4730585Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4730845Z #95 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4731301Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4731727Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4732095Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4732516Z #99 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4732897Z #100 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4733259Z #101 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4733588Z #102 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4733887Z #103 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4734192Z #104 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4734620Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4735005Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4735281Z #107 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4735660Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4736077Z #109 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4736530Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4736943Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4737332Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4737688Z #113 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4738055Z #114 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4738365Z #115 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4738675Z #116 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4739089Z #117 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4739486Z #118 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4739898Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4740288Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4740701Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4741082Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4741359Z #123 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4741734Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4742155Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4742536Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4742949Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4743339Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4743696Z #129 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4744025Z #130 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4744322Z #131 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4744629Z #132 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4745055Z #133 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4745439Z #134 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4745867Z #135 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4746244Z #136 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4746656Z #137 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4747054Z #138 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4747466Z #139 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4747844Z #140 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4748269Z #141 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4748702Z #142 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4749012Z #143 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T10:00:00.4749323Z #144 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T10:00:00.4749594Z #145 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T10:00:00.4749952Z #146 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T10:00:00.4750309Z #147 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T10:00:00.4750649Z #148 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T10:00:00.4750940Z #149 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T10:00:00.4751213Z #150 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T10:00:00.4751498Z #151 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T10:00:00.4751695Z #152 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T10:00:00.4751799Z #153 _start from ??:0 2025-12-04T10:00:00.4751933Z #154 from ??:0 2025-12-04T10:00:00.4751939Z 2025-12-04T10:00:00.4751945Z 2025-12-04T10:00:00.4752165Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.4752984Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4752990Z 2025-12-04T10:00:00.4753259Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.4753484Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:00:00.4754622Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py:257: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T10:00:00.4754851Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4755009Z =================================== FAILURES =================================== 2025-12-04T10:00:00.4755436Z _ AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda _ 2025-12-04T10:00:00.4755566Z Traceback (most recent call last): 2025-12-04T10:00:00.4756059Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor.py", line 6893, in test__weight_int4pack_mm 2025-12-04T10:00:00.4756177Z self.check_model(model, (a,)) 2025-12-04T10:00:00.4756622Z File "/var/lib/jenkins/workspace/test/inductor/test_aot_inductor_utils.py", line 247, in check_model 2025-12-04T10:00:00.4756747Z ref_model = copy.deepcopy(model) 2025-12-04T10:00:00.4757017Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 172, in deepcopy 2025-12-04T10:00:00.4757150Z y = _reconstruct(x, memo, *rv) 2025-12-04T10:00:00.4757437Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 271, in _reconstruct 2025-12-04T10:00:00.4757553Z state = deepcopy(state, memo) 2025-12-04T10:00:00.4757828Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 146, in deepcopy 2025-12-04T10:00:00.4757930Z y = copier(x, memo) 2025-12-04T10:00:00.4758239Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 231, in _deepcopy_dict 2025-12-04T10:00:00.4758398Z y[deepcopy(key, memo)] = deepcopy(value, memo) 2025-12-04T10:00:00.4758659Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4758773Z y = copier(memo) 2025-12-04T10:00:00.4759184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 180, in __deepcopy__ 2025-12-04T10:00:00.4759354Z new_storage = self._typed_storage()._deepcopy(memo) 2025-12-04T10:00:00.4759896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 1139, in _deepcopy 2025-12-04T10:00:00.4760179Z return self._new_wrapped_storage(copy.deepcopy(self._untyped_storage, memo)) 2025-12-04T10:00:00.4760456Z File "/opt/conda/envs/py_3.10/lib/python3.10/copy.py", line 153, in deepcopy 2025-12-04T10:00:00.4760557Z y = copier(memo) 2025-12-04T10:00:00.4760966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 243, in __deepcopy__ 2025-12-04T10:00:00.4761155Z new_storage = self.clone() 2025-12-04T10:00:00.4761520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py", line 257, in clone 2025-12-04T10:00:00.4761746Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4761978Z torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.4762629Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.4763124Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.4763307Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.4763542Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.4763547Z 2025-12-04T10:00:00.4764171Z Exception raised from copy_device_to_device at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Copy.cu:337 (most recent call first): 2025-12-04T10:00:00.4764287Z C++ CapturedTraceback: 2025-12-04T10:00:00.4765621Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T10:00:00.4766112Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T10:00:00.4766774Z #6 c10::AcceleratorError::AcceleratorError(c10::SourceLocation, int, std::__cxx11::basic_string, std::allocator > const&) from :0 2025-12-04T10:00:00.4767158Z #7 c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, unsigned int, bool) from ??:0 2025-12-04T10:00:00.4767429Z #8 at::native::copy_device_to_device(at::TensorIterator&, bool, bool) from ??:0 2025-12-04T10:00:00.4767750Z #9 at::native::copy_impl(at::Tensor&, at::Tensor const&, bool) [clone .isra.0] from Copy.cpp:0 2025-12-04T10:00:00.4767966Z #10 at::native::copy_(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4770116Z #11 c10::impl::wrap_kernel_functor_unboxed_, at::Tensor&, c10::guts::typelist::typelist >, at::Tensor& (c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4770741Z #12 torch::autograd::VariableType::(anonymous namespace)::copy_(c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4770960Z #13 at::_ops::copy_::call(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4771279Z #14 at::storage_copy(c10::Storage&, c10::Storage const&, bool) from ??:0 2025-12-04T10:00:00.4771544Z #15 THPStorage_copy_(_object*, _object*, _object*) from StorageMethods.cpp:0 2025-12-04T10:00:00.4771983Z #16 method_vectorcall_VARARGS_KEYWORDS from /usr/local/src/conda/python-3.10.14/Objects/descrobject.c:344 2025-12-04T10:00:00.4772394Z #17 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4772863Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4773294Z #19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4773670Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4774076Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4774521Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4774923Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4775306Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4775717Z #25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4776088Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4776510Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4776880Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4777303Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4777677Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4778080Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4778466Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4778872Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4779253Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4779517Z #35 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4779887Z #36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4780304Z #37 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4780678Z #38 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4781094Z #39 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4781464Z #40 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4781759Z #41 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4782038Z #42 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4782410Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4782703Z #44 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4782975Z #45 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4783353Z #46 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4783657Z #47 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4783915Z #48 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4784288Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4784771Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4785146Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4785420Z #52 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4785792Z #53 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4786199Z #54 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4786639Z #55 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4787046Z #56 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4787417Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4787836Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4788212Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4788631Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4789003Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4789301Z #62 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4789575Z #63 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4789948Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4790311Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4790620Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4790921Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4791245Z #68 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4791655Z #69 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4792041Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4792457Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4792829Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4793105Z #73 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4793476Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4793887Z #75 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4794273Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4794678Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4795057Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4795412Z #79 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4795718Z #80 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4796026Z #81 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4796296Z #82 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T10:00:00.4796566Z #83 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4796995Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4797401Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4797785Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4798189Z #87 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4798632Z #88 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4798889Z #89 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4799257Z #90 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4799674Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4800047Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4800452Z #93 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4800830Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4801086Z #95 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4801474Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4801882Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4802251Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4802666Z #99 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4803055Z #100 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4803425Z #101 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4803736Z #102 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4804036Z #103 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4804361Z #104 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4804935Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4805329Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4805594Z #107 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4805979Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4806407Z #109 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4806789Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4807202Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4807598Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4807953Z #113 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4808275Z #114 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4808574Z #115 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4808879Z #116 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4809464Z #117 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4809843Z #118 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4810273Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4810651Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4811218Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4811611Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4811876Z #123 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4812266Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4812684Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4813058Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4813483Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4813859Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4814217Z #129 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4814540Z #130 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4814843Z #131 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4815164Z #132 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4815581Z #133 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4815960Z #134 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4816386Z #135 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4816764Z #136 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4817192Z #137 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4817570Z #138 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4817982Z #139 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4818374Z #140 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4818792Z #141 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4819182Z #142 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4819476Z #143 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T10:00:00.4819788Z #144 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T10:00:00.4820075Z #145 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T10:00:00.4820362Z #146 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T10:00:00.4820715Z #147 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T10:00:00.4821056Z #148 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T10:00:00.4821346Z #149 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T10:00:00.4821721Z #150 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T10:00:00.4821990Z #151 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T10:00:00.4822189Z #152 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T10:00:00.4822306Z #153 _start from ??:0 2025-12-04T10:00:00.4822429Z #154 from ??:0 2025-12-04T10:00:00.4822490Z 2025-12-04T10:00:00.4822495Z 2025-12-04T10:00:00.4822730Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.4823530Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4823537Z 2025-12-04T10:00:00.4823807Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.4824042Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:00:00.4825167Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/storage.py:257: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T10:00:00.4825409Z return type(self)(self.nbytes(), device=self.device).copy_(self) 2025-12-04T10:00:00.4826166Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-412bfccfec3cedfc.xml - 2025-12-04T10:00:00.4826345Z =========================== short test summary info ============================ 2025-12-04T10:00:00.4827267Z FAILED [0.0048s] inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda - torch.AcceleratorError: CUDA error: invalid device function 2025-12-04T10:00:00.4827912Z Search for `cudaErrorInvalidDeviceFunction' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T10:00:00.4828405Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T10:00:00.4828591Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T10:00:00.4828828Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T10:00:00.4828833Z 2025-12-04T10:00:00.4829464Z Exception raised from copy_device_to_device at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/Copy.cu:337 (most recent call first): 2025-12-04T10:00:00.4829578Z C++ CapturedTraceback: 2025-12-04T10:00:00.4830907Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T10:00:00.4831399Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T10:00:00.4832054Z #6 c10::AcceleratorError::AcceleratorError(c10::SourceLocation, int, std::__cxx11::basic_string, std::allocator > const&) from :0 2025-12-04T10:00:00.4832439Z #7 c10::cuda::c10_cuda_check_implementation(int, char const*, char const*, unsigned int, bool) from ??:0 2025-12-04T10:00:00.4832712Z #8 at::native::copy_device_to_device(at::TensorIterator&, bool, bool) from ??:0 2025-12-04T10:00:00.4833031Z #9 at::native::copy_impl(at::Tensor&, at::Tensor const&, bool) [clone .isra.0] from Copy.cpp:0 2025-12-04T10:00:00.4833246Z #10 at::native::copy_(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4835480Z #11 c10::impl::wrap_kernel_functor_unboxed_, at::Tensor&, c10::guts::typelist::typelist >, at::Tensor& (c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4836092Z #12 torch::autograd::VariableType::(anonymous namespace)::copy_(c10::DispatchKeySet, at::Tensor&, at::Tensor const&, bool) from VariableTypeManual.cpp:0 2025-12-04T10:00:00.4836366Z #13 at::_ops::copy_::call(at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T10:00:00.4836610Z #14 at::storage_copy(c10::Storage&, c10::Storage const&, bool) from ??:0 2025-12-04T10:00:00.4836873Z #15 THPStorage_copy_(_object*, _object*, _object*) from StorageMethods.cpp:0 2025-12-04T10:00:00.4837311Z #16 method_vectorcall_VARARGS_KEYWORDS from /usr/local/src/conda/python-3.10.14/Objects/descrobject.c:344 2025-12-04T10:00:00.4837729Z #17 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4838106Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4838531Z #19 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4838905Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4839326Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4839695Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4840100Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4840487Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4840896Z #25 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4841265Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4841680Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4842048Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4842468Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4842839Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4843243Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4843624Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4844031Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4844416Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4844680Z #35 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4845049Z #36 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4845471Z #37 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4845841Z #38 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4846265Z #39 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4846636Z #40 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4846987Z #41 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4847263Z #42 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4847635Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4847927Z #44 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4848255Z #45 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4848625Z #46 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4848928Z #47 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4849184Z #48 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4849557Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4849980Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4850349Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4850616Z #52 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4850987Z #53 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4851479Z #54 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4851859Z #55 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4852261Z #56 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4852644Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4853052Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4853422Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4853840Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4854210Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4854508Z #62 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T10:00:00.4854781Z #63 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4855153Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4855525Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4855831Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4856130Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4856447Z #68 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4856855Z #69 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4857241Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4857652Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4858023Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4858297Z #73 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4858671Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4859158Z #75 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4859530Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4859936Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4860319Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4860749Z #79 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4861056Z #80 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4861370Z #81 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4861641Z #82 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T10:00:00.4861915Z #83 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4862288Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4862694Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4863079Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4863489Z #87 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4863875Z #88 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4864133Z #89 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4864503Z #90 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4864922Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4865296Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4865717Z #93 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4866087Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4866351Z #95 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4866737Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4867144Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4867514Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4867931Z #99 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4868316Z #100 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4868686Z #101 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4868999Z #102 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4869297Z #103 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4869622Z #104 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4870038Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4870427Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4870692Z #107 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4871131Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4871558Z #109 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4871934Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4872344Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4873389Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4873748Z #113 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4874070Z #114 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4874370Z #115 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4874680Z #116 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4875110Z #117 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4875487Z #118 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4875908Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4876288Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4876698Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4877087Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4877355Z #123 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T10:00:00.4877751Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4878163Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4878540Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4878960Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4879334Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4879687Z #129 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T10:00:00.4880006Z #130 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T10:00:00.4880306Z #131 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T10:00:00.4880626Z #132 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T10:00:00.4881044Z #133 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T10:00:00.4881422Z #134 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4881844Z #135 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4882227Z #136 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4882652Z #137 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4883030Z #138 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4883440Z #139 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4883890Z #140 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4884302Z #141 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T10:00:00.4884692Z #142 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T10:00:00.4884982Z #143 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T10:00:00.4885348Z #144 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T10:00:00.4885632Z #145 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T10:00:00.4885916Z #146 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T10:00:00.4886269Z #147 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T10:00:00.4886609Z #148 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T10:00:00.4886904Z #149 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T10:00:00.4887190Z #150 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T10:00:00.4887456Z #151 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T10:00:00.4887656Z #152 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T10:00:00.4887771Z #153 _start from ??:0 2025-12-04T10:00:00.4887899Z #154 from ??:0 2025-12-04T10:00:00.4887905Z 2025-12-04T10:00:00.4887910Z 2025-12-04T10:00:00.4888138Z To execute this test, run the following from the base repo dir: 2025-12-04T10:00:00.4888933Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_aot_inductor.py AOTInductorTestABICompatibleGpu.test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4888939Z 2025-12-04T10:00:00.4889210Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:00:00.4889410Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T10:00:00.4889614Z ================= 1 failed, 165 deselected, 2 rerun in 15.53s ================== 2025-12-04T10:00:00.4889733Z Got exit code 1 2025-12-04T10:00:00.4890449Z FAILED CONSISTENTLY: test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda 2025-12-04T10:00:00.4890867Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T10:00:00.4891420Z W1204 09:54:16.330000 5280 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:00:00.4891993Z Test results will be stored in test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-53a277b2a7445c7b.xml 2025-12-04T10:00:00.4892174Z ============================= test session starts ============================== 2025-12-04T10:00:00.4892536Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:00:00.4892649Z cachedir: .pytest_cache 2025-12-04T10:00:00.4893187Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:00:00.4893313Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:00:00.4893421Z configfile: pytest.ini 2025-12-04T10:00:00.4893975Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:00:00.4894204Z collecting ... collected 934 items / 51 deselected / 883 selected 2025-12-04T10:00:00.4894360Z stepcurrent: skipping 51 already run items. 2025-12-04T10:00:00.4894477Z Running 115 items in this shard 2025-12-04T10:00:00.4894482Z 2025-12-04T10:00:00.4895244Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_aot_inductor_consts_cpp_build_cuda <- test/inductor/test_torchinductor.py PASSED [17.3022s] [ 0%] 2025-12-04T10:00:00.4896143Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_aoti_debug_printer_fp8_dtype_cuda SKIPPED [0.0003s] (FP8 is only supported on H100+, SM 8.9 and MI300+ devices) [ 1%] 2025-12-04T10:00:00.4896974Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_aoti_debug_printer_user_defined_triton_kernel_cuda <- test/inductor/test_torchinductor.py PASSED [5.8750s] [ 2%] 2025-12-04T10:00:00.4897817Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_aoti_runtime_asserts_backed_symint_cuda Error: Expected Eq(Mod(s6, 100), 0) to be True but received 2099 2025-12-04T10:00:00.4897921Z PASSED [5.9428s] [ 3%] 2025-12-04T10:00:00.4898614Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_buffer_mutation_2_cuda <- test/inductor/test_torchinductor.py PASSED [5.8249s] [ 4%] 2025-12-04T10:00:00.4899258Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_mismatched_branch_output_dynamic_False_cuda PASSED [6.4593s] [ 5%] 2025-12-04T10:00:00.4900526Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_non_tensor_predicates_dynamic_True_cuda W1204 09:54:59.581000 5280 site-packages/torch/export/dynamic_shapes.py:923] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2025-12-04T10:00:00.4901205Z W1204 09:54:59.581000 5280 site-packages/torch/export/dynamic_shapes.py:923] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2025-12-04T10:00:00.4901316Z PASSED [6.3842s] [ 6%] 2025-12-04T10:00:00.4902704Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_with_multiple_outputs_cuda <- test/inductor/test_torchinductor.py W1204 09:55:06.076000 5280 site-packages/torch/export/dynamic_shapes.py:923] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2025-12-04T10:00:00.4903378Z W1204 09:55:06.076000 5280 site-packages/torch/export/dynamic_shapes.py:923] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2025-12-04T10:00:00.4904033Z W1204 09:55:06.076000 5280 site-packages/torch/export/dynamic_shapes.py:923] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2025-12-04T10:00:00.4904146Z PASSED [6.6270s] [ 6%] 2025-12-04T10:00:00.4905873Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_with_reinterpret_view_inputs_outputs_cuda <- test/inductor/test_torchinductor.py W1204 09:55:12.701000 5280 site-packages/torch/export/dynamic_shapes.py:923] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2025-12-04T10:00:00.4906552Z W1204 09:55:12.701000 5280 site-packages/torch/export/dynamic_shapes.py:923] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2025-12-04T10:00:00.4906654Z PASSED [6.0863s] [ 7%] 2025-12-04T10:00:00.4907813Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_cond_with_replace_view_ops_cuda <- test/inductor/test_torchinductor.py W1204 09:55:19.406000 5280 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:00:00.4907930Z PASSED [6.2459s] [ 8%] 2025-12-04T10:00:00.4908992Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_consecutive_compiles_cuda <- test/inductor/test_torchinductor.py W1204 09:55:24.935000 5280 site-packages/torch/_export/__init__.py:71] +============================+ 2025-12-04T10:00:00.4909365Z W1204 09:55:24.935000 5280 site-packages/torch/_export/__init__.py:72] | !!! WARNING !!! | 2025-12-04T10:00:00.4909711Z W1204 09:55:24.935000 5280 site-packages/torch/_export/__init__.py:73] +============================+ 2025-12-04T10:00:00.4911055Z W1204 09:55:24.935000 5280 site-packages/torch/_export/__init__.py:74] torch._export.aot_compile()/torch._export.aot_load() is being deprecated, please switch to directly calling torch._inductor.aoti_compile_and_package(torch.export.export())/torch._inductor.aoti_load_package() instead. 2025-12-04T10:00:00.4911162Z PASSED [6.0030s] [ 9%] 2025-12-04T10:00:00.4911915Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_constant_folding_with_update_cuda <- test/inductor/test_torchinductor.py PASSED [6.1177s] [ 10%] 2025-12-04T10:00:00.4912666Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_constant_type_propagation_cuda <- test/inductor/test_torchinductor.py PASSED [5.2842s] [ 11%] 2025-12-04T10:00:00.4913466Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_dup_unbacked_sym_decl_cuda <- test/inductor/test_torchinductor.py PASSED [5.6920s] [ 12%] 2025-12-04T10:00:00.4914179Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_duplicated_params_cuda <- test/inductor/test_torchinductor.py PASSED [5.2162s] [ 13%] 2025-12-04T10:00:00.4914894Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_empty_constant_folding_cuda <- test/inductor/test_torchinductor.py PASSED [4.9325s] [ 13%] 2025-12-04T10:00:00.4915560Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_empty_graph_cuda <- test/inductor/test_torchinductor.py PASSED [4.7388s] [ 14%] 2025-12-04T10:00:00.4916345Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_fallback_kernel_with_symexpr_output_cuda SKIPPED [0.0003s] (Some archs don't support flash SDPA) [ 15%] 2025-12-04T10:00:00.4917088Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_fx_gm_return_tuple_validation_cuda <- test/inductor/test_torchinductor.py PASSED [0.0266s] [ 16%] 2025-12-04T10:00:00.4917642Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_index_put_with_none_index_cuda PASSED [5.4565s] [ 17%] 2025-12-04T10:00:00.4918139Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_large_dynamic_dim_cuda PASSED [5.6250s] [ 18%] 2025-12-04T10:00:00.4918827Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_linear_freezing_cuda <- test/inductor/test_torchinductor.py PASSED [5.0121s] [ 19%] 2025-12-04T10:00:00.4919372Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_misc_1_max_autotune_False_cuda PASSED [6.2416s] [ 20%] 2025-12-04T10:00:00.4920049Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_missing_output_cuda <- test/inductor/test_torchinductor.py PASSED [5.5484s] [ 20%] 2025-12-04T10:00:00.4920741Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_narrow_fallback_cuda <- test/inductor/test_torchinductor.py PASSED [4.7344s] [ 21%] 2025-12-04T10:00:00.4921437Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_output_misaligned_cuda <- test/inductor/test_torchinductor.py PASSED [5.4344s] [ 22%] 2025-12-04T10:00:00.4922151Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_poi_multiple_dynamic_cuda <- test/inductor/test_torchinductor.py PASSED [5.4100s] [ 23%] 2025-12-04T10:00:00.4922890Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_profile_benchmark_harness_cuda <- test/inductor/test_torchinductor.py PASSED [0.9290s] [ 24%] 2025-12-04T10:00:00.4923585Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_proxy_executor_abs_cuda <- test/inductor/test_torchinductor.py PASSED [4.9429s] [ 25%] 2025-12-04T10:00:00.4924111Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_quanatized_int8_linear_cuda XFAIL [0.0315s] [ 26%] 2025-12-04T10:00:00.4924806Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeat_interleave_cuda <- test/inductor/test_torchinductor.py PASSED [4.8186s] [ 26%] 2025-12-04T10:00:00.4925487Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_repeat_output_cuda <- test/inductor/test_torchinductor.py PASSED [5.3502s] [ 27%] 2025-12-04T10:00:00.4926162Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_replicate_on_devices_cuda SKIPPED [0.0003s] (requires multiple cuda devices) [ 28%] 2025-12-04T10:00:00.4927015Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_runtime_checks_dtype_failed_cuda Error: input_handles[0]: unmatched dtype, expected: 5(at::kHalf), but got: 6 2025-12-04T10:00:00.4927037Z 2025-12-04T10:00:00.4927141Z PASSED [5.3667s] [ 29%] 2025-12-04T10:00:00.4927929Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_runtime_checks_shape_failed_cuda Error: input_handles[0]: unmatched dim value at 1, expected: 4, but got: 8 2025-12-04T10:00:00.4927991Z 2025-12-04T10:00:00.4928272Z Error: input_handles[0]: unmatched stride value at 1, expected: 4, but got: 1 2025-12-04T10:00:00.4928277Z 2025-12-04T10:00:00.4928586Z Error: input_handles[0]: dim value is too large at 0, expected to be <= 1024, but got: 2048 2025-12-04T10:00:00.4928591Z 2025-12-04T10:00:00.4928909Z Error: input_handles[0]: dim value is too large at 0, expected to be <= 1024, but got: 2048 2025-12-04T10:00:00.4928914Z 2025-12-04T10:00:00.4929017Z PASSED [4.9200s] [ 30%] 2025-12-04T10:00:00.4929827Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_scaled_dot_product_efficient_attention_cuda <- test/inductor/test_torchinductor.py PASSED [5.7155s] [ 31%] 2025-12-04T10:00:00.4930379Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_stride_with_unbacked_expr_cuda PASSED [5.6751s] [ 32%] 2025-12-04T10:00:00.4931109Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_subclasses_cuda <- test/inductor/test_torchinductor.py PASSED [5.5293s] [ 33%] 2025-12-04T10:00:00.4932467Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_dynamic_launcher_grid_cuda W1204 09:57:30.353000 5280 site-packages/torch/_export/non_strict_utils.py:630] dimension inputs['value'].shape[0] 0/1 specialized; Dim.AUTO was specified along with a sample input with hint = 1. 2025-12-04T10:00:00.4932571Z PASSED [6.3866s] [ 33%] 2025-12-04T10:00:00.4933961Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_dynamic_launcher_grid_infer_from_tensor_cuda W1204 09:57:36.771000 5280 site-packages/torch/_export/non_strict_utils.py:630] dimension inputs['x'].shape[0] 0/1 specialized; Dim.AUTO was specified along with a sample input with hint = 1. 2025-12-04T10:00:00.4934752Z W1204 09:57:36.772000 5280 site-packages/torch/_export/non_strict_utils.py:630] dimension inputs['dim_D'].shape[0] 0/1 specialized; Dim.AUTO was specified along with a sample input with hint = 1. 2025-12-04T10:00:00.4934856Z PASSED [6.7829s] [ 34%] 2025-12-04T10:00:00.4935512Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_equal_to_1_float_arg_dynamic_False_cuda PASSED [5.5428s] [ 35%] 2025-12-04T10:00:00.4936227Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_1_num_dims_1_dynamic_False_autotune_False_cuda PASSED [5.7508s] [ 36%] 2025-12-04T10:00:00.4936942Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_1_num_dims_1_dynamic_True_autotune_True_cuda PASSED [6.3645s] [ 37%] 2025-12-04T10:00:00.4937654Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_1_num_dims_2_dynamic_True_autotune_False_cuda PASSED [5.7954s] [ 38%] 2025-12-04T10:00:00.4938358Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_2_num_dims_1_dynamic_True_autotune_True_cuda PASSED [5.8513s] [ 39%] 2025-12-04T10:00:00.4939079Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_2_num_dims_2_dynamic_False_autotune_False_cuda PASSED [6.0052s] [ 40%] 2025-12-04T10:00:00.4939797Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_3_num_dims_1_dynamic_False_autotune_False_cuda PASSED [5.7880s] [ 40%] 2025-12-04T10:00:00.4940513Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_3_num_dims_2_dynamic_True_autotune_False_cuda PASSED [5.8657s] [ 41%] 2025-12-04T10:00:00.4941276Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_grid_type_3_num_dims_2_dynamic_True_autotune_True_cuda PASSED [9.1948s] [ 42%] 2025-12-04T10:00:00.4942298Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_tma_descriptor_1d_dynamic_False_tma_version_old_cuda SKIPPED [0.0031s] (requires triton.tools.experimental_descriptor TMA support) [ 43%] 2025-12-04T10:00:00.4943290Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_tma_descriptor_1d_dynamic_True_tma_version_old_cuda SKIPPED [0.0028s] (requires triton.tools.experimental_descriptor TMA support) [ 44%] 2025-12-04T10:00:00.4944306Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_tma_descriptor_2d_dynamic_True_tma_version_new_cuda SKIPPED [0.0028s] (requires triton.tools.tensor_descriptor TMA support) [ 45%] 2025-12-04T10:00:00.4945057Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_unbacked_symint_in_grid_dynamic_True_autotuning_True_cuda PASSED [5.8505s] [ 46%] 2025-12-04T10:00:00.4945818Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_kernel_weird_param_order_cuda <- test/inductor/test_torchinductor.py PASSED [5.4675s] [ 46%] 2025-12-04T10:00:00.4946373Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_triton_mutated_autotuning_cuda PASSED [9.7215s] [ 47%] 2025-12-04T10:00:00.4947070Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_unbacked_expr_replacements_shift_k_0_use_static_size_True_cuda PASSED [7.4405s] [ 48%] 2025-12-04T10:00:00.4947783Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_unbacked_expr_replacements_shift_k_3_use_static_size_False_cuda PASSED [7.0396s] [ 49%] 2025-12-04T10:00:00.4948534Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_update_constant_buffer_simple_cuda <- test/inductor/test_torchinductor.py PASSED [5.3816s] [ 50%] 2025-12-04T10:00:00.4949271Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_update_user_managed_buffer_cuda <- test/inductor/test_torchinductor.py PASSED [5.6828s] [ 51%] 2025-12-04T10:00:00.4950010Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_using_model_name_for_files_cuda <- test/inductor/test_torchinductor.py PASSED [5.6204s] [ 52%] 2025-12-04T10:00:00.4950585Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_while_loop_with_conv_dynamic_False_cuda PASSED [8.0148s] [ 53%] 2025-12-04T10:00:00.4951987Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_while_loop_with_outer_code_cuda <- test/inductor/test_torchinductor.py W1204 09:59:39.492000 5280 site-packages/torch/export/dynamic_shapes.py:923] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2025-12-04T10:00:00.4952650Z W1204 09:59:39.492000 5280 site-packages/torch/export/dynamic_shapes.py:923] Using None as a dynamic shape dimension is deprecated. Please use Dim.STATIC instead 2025-12-04T10:00:00.4952766Z PASSED [6.7235s] [ 53%] 2025-12-04T10:00:00.4953516Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_while_loop_with_pytree_inputs_cuda <- test/inductor/test_torchinductor.py PASSED [6.7733s] [ 54%] 2025-12-04T10:00:00.4954229Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test_with_no_triton_profiler_cuda <- test/inductor/test_torchinductor.py PASSED [4.9730s] [ 55%] 2025-12-04T10:00:00.4955014Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_mps SKIPPED [0.0004s] (No MPS backend available) [ 56%] 2025-12-04T10:00:00.4955880Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test__weight_int4pack_mm_with_scales_and_zeros_m_32_n_64_q_group_32_num_groups_1_mps SKIPPED [0.0002s] (No MPS backend available) [ 57%] 2025-12-04T10:00:00.4956813Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test__weight_int4pack_mm_with_scales_and_zeros_m_32_n_64_q_group_32_num_groups_2_mps SKIPPED [0.0002s] (No MPS backend available) [ 58%] 2025-12-04T10:00:00.4957582Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_addmm_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 59%] 2025-12-04T10:00:00.4958457Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_aoti_debug_printer_cpp_kernel_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0005s] (No MPS backend available) [ 60%] 2025-12-04T10:00:00.4959550Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_aoti_debug_printer_user_defined_triton_kernel_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 60%] 2025-12-04T10:00:00.4960296Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_aoti_profiler_enable_kernel_profile_False_mps SKIPPED [0.0002s] (No MPS backend available) [ 61%] 2025-12-04T10:00:00.4961106Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_buffer_reuse_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 62%] 2025-12-04T10:00:00.4961897Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_cond_simple_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 63%] 2025-12-04T10:00:00.4962724Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_cond_symint_input_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 64%] 2025-12-04T10:00:00.4963614Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_cond_with_outer_code_before_after_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 65%] 2025-12-04T10:00:00.4964473Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_consecutive_compiles_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 66%] 2025-12-04T10:00:00.4965293Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_constant_folding_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 66%] 2025-12-04T10:00:00.4966160Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_constant_folding_with_update_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0004s] (No MPS backend available) [ 67%] 2025-12-04T10:00:00.4967003Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_custom_op_in_subgraph_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 68%] 2025-12-04T10:00:00.4967838Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_dup_unbacked_sym_decl_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 69%] 2025-12-04T10:00:00.4968696Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_empty_constant_folding_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 70%] 2025-12-04T10:00:00.4969537Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_extract_constants_map_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 71%] 2025-12-04T10:00:00.4970227Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_load_package_multiple_gpus_mps SKIPPED [0.0004s] (No MPS backend available) [ 72%] 2025-12-04T10:00:00.4971114Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_non_tensor_input_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 73%] 2025-12-04T10:00:00.4971915Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_pad_fallback_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 73%] 2025-12-04T10:00:00.4972757Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_proxy_executor_hann_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 74%] 2025-12-04T10:00:00.4973467Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_quantized_linear_mps SKIPPED [0.0002s] (No MPS backend available) [ 75%] 2025-12-04T10:00:00.4974133Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_replicate_on_devices_mps SKIPPED [0.0013s] (No MPS backend available) [ 76%] 2025-12-04T10:00:00.4974974Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_runtime_checks_complex_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 77%] 2025-12-04T10:00:00.4975966Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_scaled_dot_product_efficient_attention_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 78%] 2025-12-04T10:00:00.4976611Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_scaled_grouped_mm_mps SKIPPED [0.0002s] (No MPS backend available) [ 79%] 2025-12-04T10:00:00.4977426Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_scatter_fallback_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 80%] 2025-12-04T10:00:00.4978004Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_sdpa_mps SKIPPED [0.0002s] (No MPS backend available) [ 80%] 2025-12-04T10:00:00.4978781Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_simple_embed_kernel_binary_True_max_autotune_True_mps SKIPPED [0.0002s] (No MPS backend available) [ 81%] 2025-12-04T10:00:00.4979546Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_simple_multi_arch_embed_kernel_binary_False_mps SKIPPED [0.0002s] (No MPS backend available) [ 82%] 2025-12-04T10:00:00.4980147Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_simple_split_mps SKIPPED [0.0002s] (No MPS backend available) [ 83%] 2025-12-04T10:00:00.4980965Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_so_without_weight_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 84%] 2025-12-04T10:00:00.4981661Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_dynamic_launcher_grid_mps SKIPPED [0.0002s] (No MPS backend available) [ 85%] 2025-12-04T10:00:00.4982414Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_equal_to_1_float_arg_dynamic_True_mps SKIPPED [0.0004s] (No MPS backend available) [ 86%] 2025-12-04T10:00:00.4983268Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_1_num_dims_1_dynamic_False_autotune_False_mps SKIPPED [0.0002s] (No MPS backend available) [ 86%] 2025-12-04T10:00:00.4984090Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_1_num_dims_1_dynamic_True_autotune_True_mps SKIPPED [0.0002s] (No MPS backend available) [ 87%] 2025-12-04T10:00:00.4984945Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_1_num_dims_2_dynamic_False_autotune_False_mps SKIPPED [0.0002s] (No MPS backend available) [ 88%] 2025-12-04T10:00:00.4985776Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_1_num_dims_2_dynamic_False_autotune_True_mps SKIPPED [0.0002s] (No MPS backend available) [ 89%] 2025-12-04T10:00:00.4986604Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_grid_type_2_num_dims_1_dynamic_False_autotune_True_mps SKIPPED [0.0004s] (No MPS backend available) [ 90%] 2025-12-04T10:00:00.4987428Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_on_device_tma_dynamic_False_tma_version_new_mps SKIPPED [0.0002s] (No MPS backend available) [ 91%] 2025-12-04T10:00:00.4988230Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_on_device_tma_dynamic_True_tma_version_old_mps SKIPPED [0.0002s] (No MPS backend available) [ 92%] 2025-12-04T10:00:00.4989192Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_reinterpret_view_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 93%] 2025-12-04T10:00:00.4990016Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_kernel_tma_descriptor_2d_dynamic_True_tma_version_old_mps SKIPPED [0.0002s] (No MPS backend available) [ 93%] 2025-12-04T10:00:00.4990710Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_triton_mutated_autotuning_mps SKIPPED [0.0004s] (No MPS backend available) [ 94%] 2025-12-04T10:00:00.4991584Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_unbacked_expr_replacements_shift_k_3_use_static_size_False_mps SKIPPED [0.0002s] (No MPS backend available) [ 95%] 2025-12-04T10:00:00.4992464Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_update_constant_buffer_simple_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 96%] 2025-12-04T10:00:00.4993277Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_upper_bound_i64_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 97%] 2025-12-04T10:00:00.4994068Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_view_outputs_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 98%] 2025-12-04T10:00:00.4994907Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_weight_on_disk_legacy_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [ 99%] 2025-12-04T10:00:00.4995726Z inductor/test_aot_inductor.py::AOTInductorTestABICompatibleMps::test_with_cudagraphs_mps <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (No MPS backend available) [100%] 2025-12-04T10:00:00.4995732Z 2025-12-04T10:00:00.4996499Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-53a277b2a7445c7b.xml - 2025-12-04T10:00:00.4996753Z ===== 57 passed, 57 skipped, 51 deselected, 1 xfailed in 339.79s (0:05:39) ===== 2025-12-04T10:00:00.4997556Z The following tests failed consistently: ['test/inductor/test_aot_inductor.py::AOTInductorTestABICompatibleGpu::test__weight_int4pack_mm_m_32_n_64_q_group_64_num_groups_2_cuda'] 2025-12-04T10:00:00.4997574Z 2025-12-04T10:00:00.4998126Z FINISHED PRINTING LOG FILE of inductor/test_aot_inductor 5/6 (test/test-reports/inductor.test_aot_inductor_5.6_1a7663c7a9d85bc4_.log) 2025-12-04T10:00:00.4998135Z 2025-12-04T10:00:00.4998493Z Finished inductor/test_aot_inductor 5/6 ... [2025-12-04 10:00:00.351060][1636.100599558], took 10.89min 2025-12-04T10:00:00.4999314Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-47b146c0aedc1125.xml 2025-12-04T10:00:00.6567866Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-f1669169a1ee3356.xml 2025-12-04T10:00:00.7050981Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-412bfccfec3cedfc.xml 2025-12-04T10:00:00.7358850Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-53a277b2a7445c7b.xml 2025-12-04T10:00:01.0101700Z Uploading logs for 57119749297 to S3 2025-12-04T10:00:01.0428718Z Uploading artifacts took 0.26 seconds 2025-12-04T10:00:01.0429122Z inductor/test_aot_inductor 5/6 failed! 2025-12-04T10:00:01.0433755Z Running inductor/test_torchinductor_dynamic_shapes 2/5 ... [2025-12-04 10:00:01.043192][1636.792736696] 2025-12-04T10:00:01.0434413Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:00:01.0438997Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:00:01.043630] 2025-12-04T10:08:45.6159690Z 2025-12-04T10:08:45.6160974Z PRINTING LOG FILE of inductor/test_torchinductor_dynamic_shapes 2/5 (test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.5_fb4eb20ea6243af3_.log) 2025-12-04T10:08:45.6162682Z W1204 10:00:09.870000 14161 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:08:45.6165900Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-5bd32befb3d169dc.xml 2025-12-04T10:08:45.6167551Z ============================= test session starts ============================== 2025-12-04T10:08:45.6168595Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:08:45.6169826Z cachedir: .pytest_cache 2025-12-04T10:08:45.6170813Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:08:45.6171799Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:08:45.6172253Z configfile: pytest.ini 2025-12-04T10:08:45.6173057Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:08:45.6173853Z collecting ... collected 1815 items 2025-12-04T10:08:45.6174281Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:08:45.6398118Z Running 361 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_avg_pool1d_argmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex_strided_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_override_registration_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_argmin3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_as_strided_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bernoulli2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bfloat16_to_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bmm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_both_scalars_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_default_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_nd_tiling_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_of_loops_and_extern_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_single_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clamp_type_promotion_non_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clone_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_complex_memory_overlap_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_config_option_dont_assume_alignment_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_const_int32_to_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv1d_depthwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv3d_channels_last_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_inference_heuristics_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_shape_check_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_copy_non_blocking_is_pinned_use_cat_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cpu_scalar_with_cpu_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_inf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_scan_would_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div7_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_embedding_bag_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_empty1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_exp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expand_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_basic_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_list_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_with_return_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fft_real_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_float_index_expression_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_full_truncation_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fusing_write_into_disjoint_read_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gelu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_getitem_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gpu_scalar_with_cpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gpu_scalar_with_gpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_arange2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_scalar_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_unbacked_symint_as_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_grid_sampler_expand_preserves_view_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_hardtanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_float_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_floordiv_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_nested_indirect_indexing_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_remainder_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_resize_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_where_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_input_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_list_clearing_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_masked_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_matmul_layer_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_misaligned_address_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_gpu_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_threading_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nan_sort_stable_False_descending_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nan_to_num_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_neg_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nll_loss_forward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_norm_constant_overflow_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pad_cast_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pattern_matcher_unbacked_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_erfcx_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_expm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_polygamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_xlog1py_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_profiler_mark_wrapper_call_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_rand_like_deterministic_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_distribution_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_kernel_count_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reinterpret_dtypeview_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_relu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remainder_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_clone_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_slice_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reuse_buffers_with_aliasing_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter_reduce2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_searchsorted_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_select_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sgn_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_should_pad_bench_for_bmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_silu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_single_elem_indirect_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sort_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumprod_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumsum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_reduction_dynamic_shape_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_strided_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum_keepdims_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_device_constant_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_triton_argmin_argmax_transpose_logical_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_triton_kernel_bool_param_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbacked_float_item_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbind_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_bilinear2d_a_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_mean_tile_reduction_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_vertical_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_on_aliased_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_uint8_through_differing_bitwidths_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_xblock_divides_xnumel_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_zero_dim_reductions_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test__dyn_quant_matmul_4bit_bf16_input_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test__unsafe_masked_index_put_accumulate_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_adaptive_avg_pool2d2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex10_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex4_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex6_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_angle_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_aoti_eager_dtype_device_layout_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_aoti_eager_override_registration_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_arange5_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_argmax_argmin1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d6_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d8_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool3d_backward3_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_baddbmm_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_batch_norm_2d_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_default_kwargs_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int32_uint8_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int64_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int64_uint8_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int8_int32_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int8_int8_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_builtins_round_int_ndigits_pos_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_inplace_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_upcasting_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_chunk_recompiles_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_clamp_type_promotion_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_constant_pad_fill_dtype_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_conv3d_channels_last_use_block_ptr_True_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cumsum_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_unbacked_symints_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_scan_op_compiled_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_scan_op_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_data_type_propogation_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_device_assert_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div3_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div5_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div6_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div_precision_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_trivial_0_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_float16_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_float32_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_float64_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_int32_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_int64_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_int8_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float32_float64_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float32_int8_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float64_int8_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_fusion_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_int64_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int32_int64_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_int64_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_float16_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_float64_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_uint8_float32_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_uint8_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_embedding_bag_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_exact_stride_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fallback_mutable_op_list_tensor_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fft_real_input_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fill1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fill2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_float32_to_int32_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_float_index_expression_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_forced_buffer_realize_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fractional_max_pool2d2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fractional_max_pool2d4_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fractional_max_pool2d5_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_full_like_transposed_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_gather_scatter_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_generated_code_has_size_stride_assert_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_glu_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_graph_partition_argmax_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_grid_sampler_expand_preserves_view_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_hardtanh_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_propagation_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_propagation_nested_indirect_indexing_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put4_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put_fallback1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_inplace_where_pointwise_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_input_mutation2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_input_mutation5_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_int_input_dynamic_shapes_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_issue102546_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_large_grid_use_block_ptr_False_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_large_offset_pointwise_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_lerp_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_lgamma_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_linear_mixed_dtype_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_linspace1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_linspace4_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_lite_mode_fallback_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_log2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_log_softmax_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_logcumsumexp_zero_dim_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_low_memory_max_pool_dilation_2_dim_2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mark_dynamic_with_hint_override_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_matmul_layer_norm_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d8_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d_with_indices_backward6_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_min_max_reduction_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mixed_mm2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_multilayer_any_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_multilayer_sum_low_prec_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mutable_custom_op_fixed_layout2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_needs_contiguous_strides_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_new_empty_strided_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_no_specization_over_symbolic_value_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pad_single_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pattern_matcher_unbacked_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_permute2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_bessel_j0_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_bessel_y0_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_log_ndtr_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_modified_bessel_i1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_scaled_modified_bessel_k1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_sinc_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_xlogy_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_randn_like_empty_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_reflection_pad2d_backward_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_relu_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_no_ops_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_noop_copy_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_noop_view_dtype_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_repeat_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_repeat_interleave_Tensor_decomp_int64_nd_2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_round_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter_reduce2_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter_reduce3_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scheduler_vertical_fusion1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_unaligned_mask_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_unaligned_mask_freezing_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_searchsorted_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_shape_prop_torch_ones_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_should_pad_bench_for_bmm_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_size_asserts_for_multi_output_fallback_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_softmax_one_kernel_loop_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_softmax_one_kernel_persist_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_squeeze1_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tan_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tanh_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tensor_index_put_slice_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_to_device_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_torch_device_split_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unbacked_float_item_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unspec_inputs_float64_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_bicubic2d_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_bilinear2d_a_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_cat_conv_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_nearest2d_backward_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_var_correction_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_vectorized_ops_masked_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_view_on_aliased_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_view_uint8_through_differing_bitwidths_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views3_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views7_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_where_broadcast_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_zero_dim_reductions_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_zero_element_mutation_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_abs_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_dynamic_rblock_bounds_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_floor_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_interpolate_ceil_eq_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_item_to_inputs_kernel_nobreak_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_math_ops_op6_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_meta_dynamic_shapes_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_noops_tensor_repropagate_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_return_unbacked_view_split_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_shape_as_constant_reciprocal_float_exp_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_unbacked_index_select_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_unbacked_matmul_cuda, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_unspecialized_float_fallback_symint_specialization_cuda 2025-12-04T10:08:45.6617840Z 2025-12-04T10:08:45.6618846Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_avg_pool1d_argmax_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [7.7683s] [ 0%] 2025-12-04T10:08:45.6620619Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_max_pool2d3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [4.2674s] [ 0%] 2025-12-04T10:08:45.6622393Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex_strided_fallback_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1813s] [ 0%] 2025-12-04T10:08:45.6624685Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_override_registration_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py W1204 10:00:25.989000 14161 site-packages/torch/_export/__init__.py:71] +============================+ 2025-12-04T10:08:45.6626404Z W1204 10:00:25.989000 14161 site-packages/torch/_export/__init__.py:72] | !!! WARNING !!! | 2025-12-04T10:08:45.6627256Z W1204 10:00:25.990000 14161 site-packages/torch/_export/__init__.py:73] +============================+ 2025-12-04T10:08:45.6628989Z W1204 10:00:25.990000 14161 site-packages/torch/_export/__init__.py:74] torch._export.aot_compile()/torch._export.aot_load() is being deprecated, please switch to directly calling torch._inductor.aoti_compile_and_package(torch.export.export())/torch._inductor.aoti_load_package() instead. 2025-12-04T10:08:45.6630462Z PASSED [27.3103s] [ 1%] 2025-12-04T10:08:45.6631410Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7626s] [ 1%] 2025-12-04T10:08:45.6633060Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_argmin3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1710s] [ 1%] 2025-12-04T10:08:45.6634718Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_as_strided_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8865s] [ 1%] 2025-12-04T10:08:45.6636388Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_as_strided_scatter_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0259s] [ 2%] 2025-12-04T10:08:45.6638074Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9591s] [ 2%] 2025-12-04T10:08:45.6639711Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [7.3198s] [ 2%] 2025-12-04T10:08:45.6641342Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d6_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.2762s] [ 3%] 2025-12-04T10:08:45.6642969Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d7_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.2557s] [ 3%] 2025-12-04T10:08:45.6644648Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.7971s] [ 3%] 2025-12-04T10:08:45.6646330Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bernoulli2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1758s] [ 3%] 2025-12-04T10:08:45.6647992Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bfloat16_to_int16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7725s] [ 4%] 2025-12-04T10:08:45.6649617Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bmm1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8200s] [ 4%] 2025-12-04T10:08:45.6651285Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bool_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2659s] [ 4%] 2025-12-04T10:08:45.6652976Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_both_scalars_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7858s] [ 4%] 2025-12-04T10:08:45.6654859Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_broadcast_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (triton backend is required for cpu) [ 5%] 2025-12-04T10:08:45.6656807Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_default_kwargs_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1377s] [ 5%] 2025-12-04T10:08:45.6658638Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int16_int32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1857s] [ 5%] 2025-12-04T10:08:45.6660400Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int32_int8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2354s] [ 6%] 2025-12-04T10:08:45.6662170Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int64_int32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2536s] [ 6%] 2025-12-04T10:08:45.6663933Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int8_int32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2684s] [ 6%] 2025-12-04T10:08:45.6665703Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_nd_tiling_False_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.3608s] [ 6%] 2025-12-04T10:08:45.6667362Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.7561s] [ 7%] 2025-12-04T10:08:45.6669053Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_of_loops_and_extern_kernel_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.0776s] [ 7%] 2025-12-04T10:08:45.6670950Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_single_empty_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1045s] [ 7%] 2025-12-04T10:08:45.6672665Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1885s] [ 8%] 2025-12-04T10:08:45.6674336Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clamp_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9331s] [ 8%] 2025-12-04T10:08:45.6676040Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clamp_type_promotion_non_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8022s] [ 8%] 2025-12-04T10:08:45.6677745Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clone_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7842s] [ 8%] 2025-12-04T10:08:45.6679421Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_complex_memory_overlap_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0035s] [ 9%] 2025-12-04T10:08:45.6681299Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_config_option_dont_assume_alignment_recompiles_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0666s] [ 9%] 2025-12-04T10:08:45.6683153Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_const_int32_to_float_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7040s] [ 9%] 2025-12-04T10:08:45.6684852Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv1d_depthwise_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.3447s] [ 9%] 2025-12-04T10:08:45.6686717Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv3d_channels_last_use_block_ptr_False_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.1893s] [ 10%] 2025-12-04T10:08:45.6688519Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_backward_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0231s] [ 10%] 2025-12-04T10:08:45.6690338Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_inference_heuristics_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (cuda only test) [ 10%] 2025-12-04T10:08:45.6692296Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_shape_check_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0797s] [ 11%] 2025-12-04T10:08:45.6693970Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution4_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8418s] [ 11%] 2025-12-04T10:08:45.6696153Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_copy_non_blocking_is_pinned_use_cat_True_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py W1204 10:01:41.146000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6697963Z W1204 10:01:41.148000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6698898Z W1204 10:01:41.148000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6699821Z W1204 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site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6734726Z W1204 10:01:41.480000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6735664Z W1204 10:01:41.480000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6736572Z W1204 10:01:41.481000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6737499Z W1204 10:01:41.482000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6738422Z W1204 10:01:41.483000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6739352Z W1204 10:01:41.484000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6740263Z W1204 10:01:41.484000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6741188Z W1204 10:01:41.485000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6742115Z W1204 10:01:41.486000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6743026Z W1204 10:01:41.487000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6743946Z W1204 10:01:41.487000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6744869Z W1204 10:01:41.488000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6745889Z W1204 10:01:41.489000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6746805Z W1204 10:01:41.490000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6747727Z W1204 10:01:41.490000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6748653Z W1204 10:01:41.491000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6749648Z W1204 10:01:41.492000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6750560Z W1204 10:01:41.493000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6751484Z W1204 10:01:41.494000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6752409Z W1204 10:01:41.494000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6753338Z W1204 10:01:41.495000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6754256Z W1204 10:01:41.496000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6755187Z W1204 10:01:41.497000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6756114Z W1204 10:01:41.497000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6757047Z W1204 10:01:41.498000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6757957Z W1204 10:01:41.499000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6758882Z W1204 10:01:41.500000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6759810Z W1204 10:01:41.500000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6760734Z W1204 10:01:41.501000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6761645Z W1204 10:01:41.502000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6762584Z W1204 10:01:41.503000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6763514Z W1204 10:01:41.504000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6764441Z W1204 10:01:41.504000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6765357Z W1204 10:01:41.505000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6766286Z W1204 10:01:41.506000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6767213Z W1204 10:01:41.507000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6768127Z W1204 10:01:41.507000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6769054Z W1204 10:01:41.508000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6769985Z W1204 10:01:41.509000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6770916Z W1204 10:01:41.510000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6771923Z W1204 10:01:41.510000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6772853Z W1204 10:01:41.511000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6773900Z W1204 10:01:41.512000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6774831Z W1204 10:01:41.513000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6775748Z W1204 10:01:41.514000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6776675Z W1204 10:01:41.514000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6777672Z W1204 10:01:41.515000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6778598Z W1204 10:01:41.516000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6779512Z W1204 10:01:41.517000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6780436Z W1204 10:01:41.517000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6781366Z W1204 10:01:41.518000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6782291Z W1204 10:01:41.519000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6783203Z W1204 10:01:41.520000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6784124Z W1204 10:01:41.520000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6785054Z W1204 10:01:41.521000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6785975Z W1204 10:01:41.522000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6786883Z W1204 10:01:41.523000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6787806Z W1204 10:01:41.523000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6788731Z W1204 10:01:41.524000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6789654Z W1204 10:01:41.525000 14161 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:08:45.6790285Z PASSED [11.6106s] [ 11%] 2025-12-04T10:08:45.6791318Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cpu_scalar_with_cpu_scalar_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7149s] [ 11%] 2025-12-04T10:08:45.6793040Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_inf_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.2159s] [ 12%] 2025-12-04T10:08:45.6794944Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_scan_would_split_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (associative_scan only supported on GPU) [ 12%] 2025-12-04T10:08:45.6796808Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9802s] [ 12%] 2025-12-04T10:08:45.6798379Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9991s] [ 13%] 2025-12-04T10:08:45.6799942Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div5_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0182s] [ 13%] 2025-12-04T10:08:45.6801513Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div6_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0904s] [ 13%] 2025-12-04T10:08:45.6803080Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div7_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0583s] [ 13%] 2025-12-04T10:08:45.6804896Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7827s] [ 14%] 2025-12-04T10:08:45.6806565Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float16_int64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9123s] [ 14%] 2025-12-04T10:08:45.6808337Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float32_float64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9004s] [ 14%] 2025-12-04T10:08:45.6810201Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0042s] [ 14%] 2025-12-04T10:08:45.6812050Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_int16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0038s] [ 15%] 2025-12-04T10:08:45.6813821Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_uint8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0037s] [ 15%] 2025-12-04T10:08:45.6815577Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int16_int32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8806s] [ 15%] 2025-12-04T10:08:45.6817319Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int16_int64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8727s] [ 16%] 2025-12-04T10:08:45.6819081Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_float32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.0180s] [ 16%] 2025-12-04T10:08:45.6820827Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_float64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9263s] [ 16%] 2025-12-04T10:08:45.6822577Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9129s] [ 16%] 2025-12-04T10:08:45.6824275Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_embedding_bag_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1871s] [ 17%] 2025-12-04T10:08:45.6825911Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_empty1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0982s] [ 17%] 2025-12-04T10:08:45.6827497Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_exp2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0383s] [ 17%] 2025-12-04T10:08:45.6829050Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_exp_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9606s] [ 18%] 2025-12-04T10:08:45.6830633Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expand_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2268s] [ 18%] 2025-12-04T10:08:45.6832221Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expm1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [5.0654s] [ 18%] 2025-12-04T10:08:45.6833897Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_basic_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0491s] [ 18%] 2025-12-04T10:08:45.6835705Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_list_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8193s] [ 19%] 2025-12-04T10:08:45.6837530Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_with_return_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0496s] [ 19%] 2025-12-04T10:08:45.6839357Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fft_real_input_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1948s] [ 19%] 2025-12-04T10:08:45.6841070Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_float_index_expression_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0040s] [ 19%] 2025-12-04T10:08:45.6842826Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [3.4874s] [ 20%] 2025-12-04T10:08:45.6844620Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8873s] [ 20%] 2025-12-04T10:08:45.6846346Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_full_truncation_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [5.3005s] [ 20%] 2025-12-04T10:08:45.6848110Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fusing_write_into_disjoint_read_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7754s] [ 21%] 2025-12-04T10:08:45.6849805Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gelu_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0738s] [ 21%] 2025-12-04T10:08:45.6851470Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_getitem_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0659s] [ 21%] 2025-12-04T10:08:45.6853149Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gpu_scalar_with_cpu_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0277s] [ 21%] 2025-12-04T10:08:45.6854919Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gpu_scalar_with_gpu_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.5241s] [ 22%] 2025-12-04T10:08:45.6856685Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_arange2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.4121s] [ 22%] 2025-12-04T10:08:45.6858475Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_scalar_inputs_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7753s] [ 22%] 2025-12-04T10:08:45.6860351Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_unbacked_symint_as_output_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.6840s] [ 22%] 2025-12-04T10:08:45.6862367Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_grid_sampler_expand_preserves_view_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0034s] (requires CUDA or XPU) [ 23%] 2025-12-04T10:08:45.6864235Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_hardtanh_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8391s] [ 23%] 2025-12-04T10:08:45.6865889Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_float_zero_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1041s] [ 23%] 2025-12-04T10:08:45.6867634Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_floordiv_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1286s] [ 24%] 2025-12-04T10:08:45.6869521Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_nested_indirect_indexing_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9289s] [ 24%] 2025-12-04T10:08:45.6871334Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_remainder_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0393s] [ 24%] 2025-12-04T10:08:45.6873078Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9620s] [ 24%] 2025-12-04T10:08:45.6875203Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_resize_as_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py E1204 10:02:44.088000 14161 site-packages/torch/_dynamo/utils.py:3241] Accuracy failed: allclose not within tol=0.0001 2025-12-04T10:08:45.6876683Z PASSED [0.0724s] [ 25%] 2025-12-04T10:08:45.6877691Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_where_pointwise_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7470s] [ 25%] 2025-12-04T10:08:45.6879466Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_input_mutation3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9499s] [ 25%] 2025-12-04T10:08:45.6881151Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_pointwise_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9084s] [ 26%] 2025-12-04T10:08:45.6882829Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_list_clearing_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9406s] [ 26%] 2025-12-04T10:08:45.6884501Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_masked_scatter_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1635s] [ 26%] 2025-12-04T10:08:45.6886177Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_matmul_layer_norm_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.7772s] [ 26%] 2025-12-04T10:08:45.6887912Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_misaligned_address_issue1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7691s] [ 27%] 2025-12-04T10:08:45.6889606Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mixed_mm_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8126s] [ 27%] 2025-12-04T10:08:45.6891487Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_gpu_device_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (requires multiple cuda devices) [ 27%] 2025-12-04T10:08:45.6893350Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_threading_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.2531s] [ 27%] 2025-12-04T10:08:45.6895131Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1332s] [ 28%] 2025-12-04T10:08:45.6897027Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nan_sort_stable_False_descending_True_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1254s] [ 28%] 2025-12-04T10:08:45.6898790Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nan_to_num_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1269s] [ 28%] 2025-12-04T10:08:45.6900406Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_neg_index_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [7.1086s] [ 29%] 2025-12-04T10:08:45.6902051Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nll_loss_forward_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.3186s] [ 29%] 2025-12-04T10:08:45.6903760Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_norm_constant_overflow_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0850s] [ 29%] 2025-12-04T10:08:45.6905592Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pad_cast_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.6216s] [ 29%] 2025-12-04T10:08:45.6907285Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pattern_matcher_unbacked_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2583s] [ 30%] 2025-12-04T10:08:45.6909213Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7770s] [ 30%] 2025-12-04T10:08:45.6910995Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_erfcx_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8646s] [ 30%] 2025-12-04T10:08:45.6912746Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_expm1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9042s] [ 31%] 2025-12-04T10:08:45.6914524Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7572s] [ 31%] 2025-12-04T10:08:45.6916287Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i0_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7668s] [ 31%] 2025-12-04T10:08:45.6917986Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_polygamma_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8793s] [ 31%] 2025-12-04T10:08:45.6919716Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_xlog1py_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0486s] [ 32%] 2025-12-04T10:08:45.6921455Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_profiler_mark_wrapper_call_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7415s] [ 32%] 2025-12-04T10:08:45.6923231Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_rand_like_deterministic_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8618s] [ 32%] 2025-12-04T10:08:45.6924999Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_distribution_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8542s] [ 32%] 2025-12-04T10:08:45.6926860Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_kernel_count_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (Only valid for GPU!) [ 33%] 2025-12-04T10:08:45.6928671Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9945s] [ 33%] 2025-12-04T10:08:45.6930307Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9255s] [ 33%] 2025-12-04T10:08:45.6932091Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reinterpret_dtypeview_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.3510s] [ 34%] 2025-12-04T10:08:45.6933766Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_relu_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8244s] [ 34%] 2025-12-04T10:08:45.6935371Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remainder_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0242s] [ 34%] 2025-12-04T10:08:45.6937035Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_clone_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0321s] [ 34%] 2025-12-04T10:08:45.6938720Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_slice_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8489s] [ 35%] 2025-12-04T10:08:45.6940452Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_slice_scatter_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8360s] [ 35%] 2025-12-04T10:08:45.6942366Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8985s] [ 35%] 2025-12-04T10:08:45.6944232Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reuse_buffers_with_aliasing_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.4823s] [ 36%] 2025-12-04T10:08:45.6945959Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter_reduce2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9271s] [ 36%] 2025-12-04T10:08:45.6947929Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_searchsorted_broadcast_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (triton backend is required for cpu) [ 36%] 2025-12-04T10:08:45.6949836Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_select_scatter_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1526s] [ 36%] 2025-12-04T10:08:45.6951466Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sgn_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7702s] [ 37%] 2025-12-04T10:08:45.6953122Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_should_pad_bench_for_bmm_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0238s] [ 37%] 2025-12-04T10:08:45.6954774Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_silu_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9208s] [ 37%] 2025-12-04T10:08:45.6956432Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_single_elem_indirect_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7416s] [ 37%] 2025-12-04T10:08:45.6958089Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2179s] [ 38%] 2025-12-04T10:08:45.6959698Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9625s] [ 38%] 2025-12-04T10:08:45.6961335Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8501s] [ 38%] 2025-12-04T10:08:45.6962993Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter5_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9787s] [ 39%] 2025-12-04T10:08:45.6964643Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sort_bool_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9792s] [ 39%] 2025-12-04T10:08:45.6966422Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumprod_low_prec_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (ir.Scan nyi on CPU) [ 39%] 2025-12-04T10:08:45.6968381Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumsum_low_prec_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (ir.Scan nyi on CPU) [ 39%] 2025-12-04T10:08:45.6970260Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_reduction_dynamic_shape_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8295s] [ 40%] 2025-12-04T10:08:45.6972066Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_list_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [3.3831s] [ 40%] 2025-12-04T10:08:45.6973850Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9825s] [ 40%] 2025-12-04T10:08:45.6975694Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_unbacked_symints_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7390s] [ 40%] 2025-12-04T10:08:45.6977494Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_strided_inputs_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8221s] [ 41%] 2025-12-04T10:08:45.6979127Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1149s] [ 41%] 2025-12-04T10:08:45.6980686Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum4_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0010s] [ 41%] 2025-12-04T10:08:45.6982373Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum_keepdims_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8447s] [ 42%] 2025-12-04T10:08:45.6984060Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_device_constant_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7915s] [ 42%] 2025-12-04T10:08:45.6985720Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_dtype_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0004s] [ 42%] 2025-12-04T10:08:45.6987492Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_triton_argmin_argmax_transpose_logical_index_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [3.5314s] [ 42%] 2025-12-04T10:08:45.6989444Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_triton_kernel_bool_param_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (requires GPU) [ 43%] 2025-12-04T10:08:45.6991270Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbacked_float_item_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9117s] [ 43%] 2025-12-04T10:08:45.6992924Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbind_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1685s] [ 43%] 2025-12-04T10:08:45.6994711Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_int32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (Testing mixed devices) [ 44%] 2025-12-04T10:08:45.6996652Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_int8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (Testing mixed devices) [ 44%] 2025-12-04T10:08:45.6998606Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_uint8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (Testing mixed devices) [ 44%] 2025-12-04T10:08:45.7000463Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_bilinear2d_a_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [4.4248s] [ 44%] 2025-12-04T10:08:45.7002204Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest2d_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.0660s] [ 45%] 2025-12-04T10:08:45.7003934Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest3d_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.7883s] [ 45%] 2025-12-04T10:08:45.7005825Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_mean_tile_reduction_False_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.5562s] [ 45%] 2025-12-04T10:08:45.7007583Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_vertical_fusion1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0720s] [ 45%] 2025-12-04T10:08:45.7009265Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_on_aliased_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.3946s] [ 46%] 2025-12-04T10:08:45.7011223Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_uint8_through_differing_bitwidths_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1900s] [ 46%] 2025-12-04T10:08:45.7012988Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views5_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1542s] [ 46%] 2025-12-04T10:08:45.7014652Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_xblock_divides_xnumel_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7620s] [ 47%] 2025-12-04T10:08:45.7016452Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_zero_dim_reductions_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9497s] [ 47%] 2025-12-04T10:08:45.7018464Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test__dyn_quant_matmul_4bit_bf16_input_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (No _dyn_quant_matmul_4bit implementation on CUDA) [ 47%] 2025-12-04T10:08:45.7020576Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test__unsafe_masked_index_put_accumulate_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9307s] [ 47%] 2025-12-04T10:08:45.7022390Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_adaptive_avg_pool2d2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1936s] [ 48%] 2025-12-04T10:08:45.7024082Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex10_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.8088s] [ 48%] 2025-12-04T10:08:45.7025758Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.6176s] [ 48%] 2025-12-04T10:08:45.7027414Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex6_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0959s] [ 49%] 2025-12-04T10:08:45.7029044Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_angle_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0129s] [ 49%] 2025-12-04T10:08:45.7030847Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_aoti_eager_dtype_device_layout_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (Requires sm80) [ 49%] 2025-12-04T10:08:45.7032851Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_aoti_eager_override_registration_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (Requires sm80) [ 49%] 2025-12-04T10:08:45.7034685Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_arange5_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5898s] [ 50%] 2025-12-04T10:08:45.7036347Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_argmax_argmin1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9285s] [ 50%] 2025-12-04T10:08:45.7038106Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.0032s] [ 50%] 2025-12-04T10:08:45.7039845Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.0350s] [ 50%] 2025-12-04T10:08:45.7041480Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d6_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2277s] [ 51%] 2025-12-04T10:08:45.7043128Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.2283s] [ 51%] 2025-12-04T10:08:45.7044811Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool3d_backward3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [4.5523s] [ 51%] 2025-12-04T10:08:45.7046546Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_baddbmm_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.9564s] [ 52%] 2025-12-04T10:08:45.7048179Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_batch_norm_2d_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.3199s] [ 52%] 2025-12-04T10:08:45.7049887Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_default_kwargs_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2390s] [ 52%] 2025-12-04T10:08:45.7051808Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int32_uint8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.6862s] [ 52%] 2025-12-04T10:08:45.7053590Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int64_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.5559s] [ 53%] 2025-12-04T10:08:45.7055373Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int64_uint8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.5519s] [ 53%] 2025-12-04T10:08:45.7057162Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int8_int32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.5327s] [ 53%] 2025-12-04T10:08:45.7058911Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int8_int8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.5114s] [ 54%] 2025-12-04T10:08:45.7060710Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_builtins_round_int_ndigits_pos_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1836s] [ 54%] 2025-12-04T10:08:45.7062447Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_inplace_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9115s] [ 54%] 2025-12-04T10:08:45.7064121Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_upcasting_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9108s] [ 54%] 2025-12-04T10:08:45.7065818Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_chunk_recompiles_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9134s] [ 55%] 2025-12-04T10:08:45.7067538Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_clamp_type_promotion_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3328s] [ 55%] 2025-12-04T10:08:45.7069295Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_constant_pad_fill_dtype_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3941s] [ 55%] 2025-12-04T10:08:45.7071320Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_conv3d_channels_last_use_block_ptr_True_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (only support cpu conv3d channels_last) [ 55%] 2025-12-04T10:08:45.7073283Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cumsum_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.4421s] [ 56%] 2025-12-04T10:08:45.7074920Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5013s] [ 56%] 2025-12-04T10:08:45.7076555Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4041s] [ 56%] 2025-12-04T10:08:45.7078283Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_unbacked_symints_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3612s] [ 57%] 2025-12-04T10:08:45.7080139Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_scan_op_compiled_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2071s] [ 57%] 2025-12-04T10:08:45.7081864Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_scan_op_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2066s] [ 57%] 2025-12-04T10:08:45.7083688Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_data_type_propogation_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (triton not supported) [ 57%] 2025-12-04T10:08:45.7085586Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_device_assert_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3517s] [ 58%] 2025-12-04T10:08:45.7087226Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6496s] [ 58%] 2025-12-04T10:08:45.7088818Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div5_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5908s] [ 58%] 2025-12-04T10:08:45.7090391Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div6_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.1130s] [ 59%] 2025-12-04T10:08:45.7092088Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div_precision_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.7315s] [ 59%] 2025-12-04T10:08:45.7095232Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_deterministic_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/132957 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 59%] 2025-12-04T10:08:45.7098361Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_trivial_0_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3910s] [ 59%] 2025-12-04T10:08:45.7100313Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_float16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0034s] (uses bfloat16 which requires SM >= 80) [ 60%] 2025-12-04T10:08:45.7102485Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_float32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (uses bfloat16 which requires SM >= 80) [ 60%] 2025-12-04T10:08:45.7104801Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_float64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 60%] 2025-12-04T10:08:45.7106968Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_int32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 60%] 2025-12-04T10:08:45.7109106Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_int64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 61%] 2025-12-04T10:08:45.7111261Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_int8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (uses bfloat16 which requires SM >= 80) [ 61%] 2025-12-04T10:08:45.7113433Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float32_float64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 61%] 2025-12-04T10:08:45.7115689Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float32_int8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 62%] 2025-12-04T10:08:45.7117833Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float64_int8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 62%] 2025-12-04T10:08:45.7119773Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_fusion_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6132s] [ 62%] 2025-12-04T10:08:45.7121774Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0034s] (uses bfloat16 which requires SM >= 80) [ 62%] 2025-12-04T10:08:45.7123910Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_int64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (uses bfloat16 which requires SM >= 80) [ 63%] 2025-12-04T10:08:45.7126033Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int32_int64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (uses bfloat16 which requires SM >= 80) [ 63%] 2025-12-04T10:08:45.7128165Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_int64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 63%] 2025-12-04T10:08:45.7130308Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_float16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 63%] 2025-12-04T10:08:45.7132504Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_float64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (uses bfloat16 which requires SM >= 80) [ 64%] 2025-12-04T10:08:45.7134637Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 64%] 2025-12-04T10:08:45.7136771Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_uint8_float32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (uses bfloat16 which requires SM >= 80) [ 64%] 2025-12-04T10:08:45.7138916Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_uint8_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 65%] 2025-12-04T10:08:45.7140827Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_embedding_bag_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3944s] [ 65%] 2025-12-04T10:08:45.7142507Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_exact_stride_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9009s] [ 65%] 2025-12-04T10:08:45.7144249Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fallback_mutable_op_list_tensor_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.8083s] [ 65%] 2025-12-04T10:08:45.7145999Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fft_real_input_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2927s] [ 66%] 2025-12-04T10:08:45.7147636Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fill1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6197s] [ 66%] 2025-12-04T10:08:45.7149235Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fill2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6096s] [ 66%] 2025-12-04T10:08:45.7150925Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_float32_to_int32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2385s] [ 67%] 2025-12-04T10:08:45.7152652Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_float_index_expression_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.0035s] [ 67%] 2025-12-04T10:08:45.7154416Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_forced_buffer_realize_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3562s] [ 67%] 2025-12-04T10:08:45.7156233Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fractional_max_pool2d2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.6770s] [ 67%] 2025-12-04T10:08:45.7157991Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fractional_max_pool2d4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.7185s] [ 68%] 2025-12-04T10:08:45.7159743Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fractional_max_pool2d5_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2077s] [ 68%] 2025-12-04T10:08:45.7161497Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_full_like_transposed_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5643s] [ 68%] 2025-12-04T10:08:45.7163203Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_gather_scatter_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7139s] [ 68%] 2025-12-04T10:08:45.7164988Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_generated_code_has_size_stride_assert_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3047s] [ 69%] 2025-12-04T10:08:45.7166723Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_glu_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.4688s] [ 69%] 2025-12-04T10:08:45.7168378Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_graph_partition_argmax_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7431s] [ 69%] 2025-12-04T10:08:45.7170196Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_grid_sampler_expand_preserves_view_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [11.3335s] [ 70%] 2025-12-04T10:08:45.7172034Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_hardtanh_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6304s] [ 70%] 2025-12-04T10:08:45.7173656Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.8520s] [ 70%] 2025-12-04T10:08:45.7175320Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_propagation_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1898s] [ 70%] 2025-12-04T10:08:45.7177159Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_propagation_nested_indirect_indexing_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5207s] [ 71%] 2025-12-04T10:08:45.7178960Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.5724s] [ 71%] 2025-12-04T10:08:45.7180603Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4954s] [ 71%] 2025-12-04T10:08:45.7182283Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put_fallback1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7562s] [ 72%] 2025-12-04T10:08:45.7184033Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_inplace_where_pointwise_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4325s] [ 72%] 2025-12-04T10:08:45.7185818Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_input_mutation2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2442s] [ 72%] 2025-12-04T10:08:45.7187520Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_input_mutation5_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1602s] [ 72%] 2025-12-04T10:08:45.7189262Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_int_input_dynamic_shapes_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7841s] [ 73%] 2025-12-04T10:08:45.7191102Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [1.4620s] [ 73%] 2025-12-04T10:08:45.7192888Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.8804s] [ 73%] 2025-12-04T10:08:45.7194567Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py FAILED [0.8684s] [ 73%] 2025-12-04T10:08:45.7195442Z 2025-12-04T10:08:45.7195587Z ==================================== RERUNS ==================================== 2025-12-04T10:08:45.7196174Z _____________ DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda _____________ 2025-12-04T10:08:45.7196736Z Traceback (most recent call last): 2025-12-04T10:08:45.7197385Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 8264, in test_isinf 2025-12-04T10:08:45.7198040Z with ctx: 2025-12-04T10:08:45.7198508Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T10:08:45.7199129Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T10:08:45.7199782Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T10:08:45.7200424Z raise self.test_case.failureException(msg) 2025-12-04T10:08:45.7200825Z AssertionError: TypeError not raised 2025-12-04T10:08:45.7201083Z 2025-12-04T10:08:45.7201300Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7202301Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7203083Z 2025-12-04T10:08:45.7203364Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7203993Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7204673Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7205339Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7206516Z inductor [('triton_bundler_save_kernel', 24), ('async_compile_cache_miss', 6), ('fxgraph_cache_miss', 5), ('async_compile_cache_hit', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7207408Z graph_break [] 2025-12-04T10:08:45.7207788Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7208901Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7209888Z warnings.warn( 2025-12-04T10:08:45.7210778Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7211828Z warnings.warn( 2025-12-04T10:08:45.7212285Z _____________ DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda _____________ 2025-12-04T10:08:45.7212826Z Traceback (most recent call last): 2025-12-04T10:08:45.7213480Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 8264, in test_isinf 2025-12-04T10:08:45.7214243Z with ctx: 2025-12-04T10:08:45.7214707Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T10:08:45.7215331Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T10:08:45.7215980Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T10:08:45.7216616Z raise self.test_case.failureException(msg) 2025-12-04T10:08:45.7217098Z AssertionError: TypeError not raised 2025-12-04T10:08:45.7217353Z 2025-12-04T10:08:45.7217570Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7218570Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7219352Z 2025-12-04T10:08:45.7219634Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7220259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7220795Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7221456Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7222619Z inductor [('triton_bundler_save_kernel', 24), ('async_compile_cache_miss', 6), ('fxgraph_cache_miss', 5), ('async_compile_cache_hit', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7223517Z graph_break [] 2025-12-04T10:08:45.7223894Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7224998Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7225980Z warnings.warn( 2025-12-04T10:08:45.7226868Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7227845Z warnings.warn( 2025-12-04T10:08:45.7228229Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7228742Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7229401Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7230569Z inductor [('triton_bundler_save_kernel', 24), ('async_compile_cache_miss', 6), ('fxgraph_cache_miss', 5), ('async_compile_cache_hit', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7231476Z graph_break [] 2025-12-04T10:08:45.7231837Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7232936Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7233908Z warnings.warn( 2025-12-04T10:08:45.7234807Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7235765Z warnings.warn( 2025-12-04T10:08:45.7236075Z =================================== FAILURES =================================== 2025-12-04T10:08:45.7236658Z _____________ DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda _____________ 2025-12-04T10:08:45.7237201Z Traceback (most recent call last): 2025-12-04T10:08:45.7237858Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 8264, in test_isinf 2025-12-04T10:08:45.7238515Z with ctx: 2025-12-04T10:08:45.7238965Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T10:08:45.7239600Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T10:08:45.7240246Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T10:08:45.7240968Z raise self.test_case.failureException(msg) 2025-12-04T10:08:45.7241372Z AssertionError: TypeError not raised 2025-12-04T10:08:45.7241627Z 2025-12-04T10:08:45.7241843Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7242844Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7243687Z 2025-12-04T10:08:45.7243966Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7244585Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7245112Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7245769Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7246943Z inductor [('triton_bundler_save_kernel', 24), ('async_compile_cache_miss', 6), ('fxgraph_cache_miss', 5), ('async_compile_cache_hit', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7247835Z graph_break [] 2025-12-04T10:08:45.7248209Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7249313Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7250287Z warnings.warn( 2025-12-04T10:08:45.7251280Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7252256Z warnings.warn( 2025-12-04T10:08:45.7252640Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7253156Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7253814Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7254986Z inductor [('triton_bundler_save_kernel', 24), ('async_compile_cache_miss', 6), ('fxgraph_cache_miss', 5), ('async_compile_cache_hit', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7255984Z graph_break [] 2025-12-04T10:08:45.7256348Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7257543Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7258529Z warnings.warn( 2025-12-04T10:08:45.7259410Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7260380Z warnings.warn( 2025-12-04T10:08:45.7260761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7261291Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7261940Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7263099Z inductor [('triton_bundler_save_kernel', 24), ('async_compile_cache_miss', 6), ('fxgraph_cache_miss', 5), ('async_compile_cache_hit', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7263998Z graph_break [] 2025-12-04T10:08:45.7264373Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7265457Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7266432Z warnings.warn( 2025-12-04T10:08:45.7267325Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7268280Z warnings.warn( 2025-12-04T10:08:45.7269467Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-5bd32befb3d169dc.xml - 2025-12-04T10:08:45.7270713Z =========================== short test summary info ============================ 2025-12-04T10:08:45.7271734Z FAILED [0.8684s] inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda - AssertionError: TypeError not raised 2025-12-04T10:08:45.7272618Z 2025-12-04T10:08:45.7272839Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7273843Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7274635Z 2025-12-04T10:08:45.7274907Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7275513Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T10:08:45.7276059Z ======== 1 failed, 227 passed, 37 skipped, 2 rerun in 320.06s (0:05:20) ======== 2025-12-04T10:08:45.7276539Z Got exit code 1 2025-12-04T10:08:45.7276812Z Retrying single test... 2025-12-04T10:08:45.7277451Z W1204 10:05:43.899000 21888 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:08:45.7278789Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-a7bdbf171afae6f5.xml 2025-12-04T10:08:45.7279843Z ============================= test session starts ============================== 2025-12-04T10:08:45.7280516Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:08:45.7281126Z cachedir: .pytest_cache 2025-12-04T10:08:45.7281836Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:08:45.7282629Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:08:45.7282988Z configfile: pytest.ini 2025-12-04T10:08:45.7283726Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:08:45.7284633Z collecting ... collected 1815 items / 360 deselected / 1455 selected 2025-12-04T10:08:45.7285760Z stepcurrent: skipping 264 already run items. Running only test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7286753Z Running 1 items in this shard 2025-12-04T10:08:45.7286967Z 2025-12-04T10:08:45.7287806Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [3.7603s] [100%] 2025-12-04T10:08:45.7289591Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.8811s] [100%] 2025-12-04T10:08:45.7291350Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py FAILED [1.0718s] [100%] 2025-12-04T10:08:45.7292230Z 2025-12-04T10:08:45.7292375Z ==================================== RERUNS ==================================== 2025-12-04T10:08:45.7292966Z _____________ DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda _____________ 2025-12-04T10:08:45.7293512Z Traceback (most recent call last): 2025-12-04T10:08:45.7294170Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 8264, in test_isinf 2025-12-04T10:08:45.7294828Z with ctx: 2025-12-04T10:08:45.7295288Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T10:08:45.7295928Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T10:08:45.7296707Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T10:08:45.7297350Z raise self.test_case.failureException(msg) 2025-12-04T10:08:45.7297753Z AssertionError: TypeError not raised 2025-12-04T10:08:45.7298008Z 2025-12-04T10:08:45.7298222Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7299218Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7300059Z 2025-12-04T10:08:45.7300340Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7300963Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7301492Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7302335Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7303373Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7303990Z graph_break [] 2025-12-04T10:08:45.7304369Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7305657Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7306633Z warnings.warn( 2025-12-04T10:08:45.7307533Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7308513Z warnings.warn( 2025-12-04T10:08:45.7308967Z _____________ DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda _____________ 2025-12-04T10:08:45.7309509Z Traceback (most recent call last): 2025-12-04T10:08:45.7310167Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 8264, in test_isinf 2025-12-04T10:08:45.7310817Z with ctx: 2025-12-04T10:08:45.7311268Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T10:08:45.7311900Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T10:08:45.7312549Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T10:08:45.7313188Z raise self.test_case.failureException(msg) 2025-12-04T10:08:45.7313588Z AssertionError: TypeError not raised 2025-12-04T10:08:45.7313842Z 2025-12-04T10:08:45.7314056Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7315054Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7315828Z 2025-12-04T10:08:45.7316097Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7316733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7317261Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7318103Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7319137Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7319756Z graph_break [] 2025-12-04T10:08:45.7320130Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7321229Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7322195Z warnings.warn( 2025-12-04T10:08:45.7323202Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7324180Z warnings.warn( 2025-12-04T10:08:45.7324556Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7325087Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7325746Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7326866Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7327641Z graph_break [] 2025-12-04T10:08:45.7328017Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7329117Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7330095Z warnings.warn( 2025-12-04T10:08:45.7330982Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7332028Z warnings.warn( 2025-12-04T10:08:45.7332344Z =================================== FAILURES =================================== 2025-12-04T10:08:45.7332916Z _____________ DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda _____________ 2025-12-04T10:08:45.7333477Z Traceback (most recent call last): 2025-12-04T10:08:45.7334129Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 8264, in test_isinf 2025-12-04T10:08:45.7334786Z with ctx: 2025-12-04T10:08:45.7335235Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T10:08:45.7335870Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T10:08:45.7336517Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T10:08:45.7337147Z raise self.test_case.failureException(msg) 2025-12-04T10:08:45.7337562Z AssertionError: TypeError not raised 2025-12-04T10:08:45.7337804Z 2025-12-04T10:08:45.7338033Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7339030Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7339815Z 2025-12-04T10:08:45.7340082Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7340716Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7341247Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7342074Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7343122Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7343732Z graph_break [] 2025-12-04T10:08:45.7344107Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7345197Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7346180Z warnings.warn( 2025-12-04T10:08:45.7347074Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7348052Z warnings.warn( 2025-12-04T10:08:45.7348420Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7348947Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7349604Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7350745Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7351545Z graph_break [] 2025-12-04T10:08:45.7351926Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7353040Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7354068Z warnings.warn( 2025-12-04T10:08:45.7354962Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7355940Z warnings.warn( 2025-12-04T10:08:45.7356324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7356844Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7357514Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7358569Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7359349Z graph_break [] 2025-12-04T10:08:45.7359728Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7360833Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7361814Z warnings.warn( 2025-12-04T10:08:45.7362692Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7363668Z warnings.warn( 2025-12-04T10:08:45.7364769Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-a7bdbf171afae6f5.xml - 2025-12-04T10:08:45.7366018Z =========================== short test summary info ============================ 2025-12-04T10:08:45.7367022Z FAILED [1.0718s] inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda - AssertionError: TypeError not raised 2025-12-04T10:08:45.7367858Z 2025-12-04T10:08:45.7368077Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7369075Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7369850Z 2025-12-04T10:08:45.7370130Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7370711Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T10:08:45.7371312Z ================== 1 failed, 360 deselected, 2 rerun in 5.99s ================== 2025-12-04T10:08:45.7371764Z Got exit code 1 2025-12-04T10:08:45.7372034Z Retrying single test... 2025-12-04T10:08:45.7372663Z W1204 10:06:03.074000 22158 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:08:45.7373999Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-b2b69cb9e8335c5c.xml 2025-12-04T10:08:45.7375051Z ============================= test session starts ============================== 2025-12-04T10:08:45.7375709Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:08:45.7376320Z cachedir: .pytest_cache 2025-12-04T10:08:45.7392225Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:08:45.7393146Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:08:45.7393645Z configfile: pytest.ini 2025-12-04T10:08:45.7394401Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:08:45.7395313Z collecting ... collected 1815 items / 360 deselected / 1455 selected 2025-12-04T10:08:45.7396440Z stepcurrent: skipping 264 already run items. Running only test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7397511Z Running 1 items in this shard 2025-12-04T10:08:45.7397725Z 2025-12-04T10:08:45.7398572Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [3.7570s] [100%] 2025-12-04T10:08:45.7400369Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.8873s] [100%] 2025-12-04T10:08:45.7402039Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py FAILED [1.0746s] [100%] 2025-12-04T10:08:45.7402919Z 2025-12-04T10:08:45.7403064Z ==================================== RERUNS ==================================== 2025-12-04T10:08:45.7403652Z _____________ DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda _____________ 2025-12-04T10:08:45.7404212Z Traceback (most recent call last): 2025-12-04T10:08:45.7405022Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 8264, in test_isinf 2025-12-04T10:08:45.7405676Z with ctx: 2025-12-04T10:08:45.7406149Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T10:08:45.7406772Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T10:08:45.7407426Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T10:08:45.7408065Z raise self.test_case.failureException(msg) 2025-12-04T10:08:45.7408486Z AssertionError: TypeError not raised 2025-12-04T10:08:45.7408728Z 2025-12-04T10:08:45.7408946Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7409945Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7410729Z 2025-12-04T10:08:45.7411086Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7411726Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7412262Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7413111Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7414158Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7414757Z graph_break [] 2025-12-04T10:08:45.7415140Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7416250Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7417241Z warnings.warn( 2025-12-04T10:08:45.7418128Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7419099Z warnings.warn( 2025-12-04T10:08:45.7419556Z _____________ DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda _____________ 2025-12-04T10:08:45.7420100Z Traceback (most recent call last): 2025-12-04T10:08:45.7420759Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 8264, in test_isinf 2025-12-04T10:08:45.7421411Z with ctx: 2025-12-04T10:08:45.7422765Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T10:08:45.7423412Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T10:08:45.7424066Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T10:08:45.7424706Z raise self.test_case.failureException(msg) 2025-12-04T10:08:45.7425216Z AssertionError: TypeError not raised 2025-12-04T10:08:45.7425471Z 2025-12-04T10:08:45.7425689Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7426690Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7427469Z 2025-12-04T10:08:45.7427750Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7428373Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7428911Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7429757Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7430801Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7431403Z graph_break [] 2025-12-04T10:08:45.7431782Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7432889Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7433857Z warnings.warn( 2025-12-04T10:08:45.7434755Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7435731Z warnings.warn( 2025-12-04T10:08:45.7436121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7436639Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7437294Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7438340Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7439133Z graph_break [] 2025-12-04T10:08:45.7439497Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7440592Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7441568Z warnings.warn( 2025-12-04T10:08:45.7442468Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7443438Z warnings.warn( 2025-12-04T10:08:45.7443742Z =================================== FAILURES =================================== 2025-12-04T10:08:45.7444330Z _____________ DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda _____________ 2025-12-04T10:08:45.7444887Z Traceback (most recent call last): 2025-12-04T10:08:45.7445537Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 8264, in test_isinf 2025-12-04T10:08:45.7446190Z with ctx: 2025-12-04T10:08:45.7446656Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__ 2025-12-04T10:08:45.7447294Z self._raiseFailure("{} not raised".format(exc_name)) 2025-12-04T10:08:45.7447936Z File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure 2025-12-04T10:08:45.7448573Z raise self.test_case.failureException(msg) 2025-12-04T10:08:45.7449048Z AssertionError: TypeError not raised 2025-12-04T10:08:45.7449293Z 2025-12-04T10:08:45.7449514Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7450510Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7451393Z 2025-12-04T10:08:45.7451661Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7452364Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7452881Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7453727Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7454774Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7455380Z graph_break [] 2025-12-04T10:08:45.7455750Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7456859Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7457838Z warnings.warn( 2025-12-04T10:08:45.7458720Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7459764Z warnings.warn( 2025-12-04T10:08:45.7460133Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7460656Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7461309Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7462359Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7463130Z graph_break [] 2025-12-04T10:08:45.7463507Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7464607Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7465587Z warnings.warn( 2025-12-04T10:08:45.7466468Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7467443Z warnings.warn( 2025-12-04T10:08:45.7467826Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:08:45.7468341Z stats [('calls_captured', 10), ('unique_graphs', 3)] 2025-12-04T10:08:45.7468998Z aot_autograd [('total', 5), ('autograd_cache_miss', 5), ('autograd_cache_saved', 3), ('ok', 3), ('not_ok', 2)] 2025-12-04T10:08:45.7470045Z inductor [('triton_bundler_save_kernel', 24), ('fxgraph_cache_miss', 5), ('async_compile_cache_miss', 3), ('triton_bundler_save_static_autotuner', 3)] 2025-12-04T10:08:45.7470828Z graph_break [] 2025-12-04T10:08:45.7471190Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:08:45.7472281Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7473253Z warnings.warn( 2025-12-04T10:08:45.7474145Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:08:45.7475101Z warnings.warn( 2025-12-04T10:08:45.7476253Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-b2b69cb9e8335c5c.xml - 2025-12-04T10:08:45.7477497Z =========================== short test summary info ============================ 2025-12-04T10:08:45.7478514Z FAILED [1.0746s] inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda - AssertionError: TypeError not raised 2025-12-04T10:08:45.7479334Z 2025-12-04T10:08:45.7479553Z To execute this test, run the following from the base repo dir: 2025-12-04T10:08:45.7480608Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesGPUTests.test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7481386Z 2025-12-04T10:08:45.7481666Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:08:45.7482257Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T10:08:45.7482769Z ================== 1 failed, 360 deselected, 2 rerun in 6.00s ================== 2025-12-04T10:08:45.7483224Z Got exit code 1 2025-12-04T10:08:45.7483956Z FAILED CONSISTENTLY: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda 2025-12-04T10:08:45.7485060Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T10:08:45.7486064Z W1204 10:06:21.990000 22428 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:08:45.7487395Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-77bd744d143d2de0.xml 2025-12-04T10:08:45.7488446Z ============================= test session starts ============================== 2025-12-04T10:08:45.7489099Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:08:45.7489703Z cachedir: .pytest_cache 2025-12-04T10:08:45.7490420Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:08:45.7491302Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:08:45.7491647Z configfile: pytest.ini 2025-12-04T10:08:45.7492382Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:08:45.7493298Z collecting ... collected 1815 items / 265 deselected / 1550 selected 2025-12-04T10:08:45.7493810Z stepcurrent: skipping 265 already run items. 2025-12-04T10:08:45.7494210Z Running 96 items in this shard 2025-12-04T10:08:45.7494424Z 2025-12-04T10:08:45.7495212Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_issue102546_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.0436s] [ 1%] 2025-12-04T10:08:45.7496961Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_large_grid_use_block_ptr_False_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2985s] [ 2%] 2025-12-04T10:08:45.7498738Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_large_offset_pointwise_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7331s] [ 3%] 2025-12-04T10:08:45.7500416Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_lerp_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.5398s] [ 4%] 2025-12-04T10:08:45.7502014Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_lgamma_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.1362s] [ 5%] 2025-12-04T10:08:45.7503670Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_linear_mixed_dtype_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6982s] [ 6%] 2025-12-04T10:08:45.7505519Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_linspace1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.8077s] [ 7%] 2025-12-04T10:08:45.7507426Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_linspace4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (requires multiple cuda devices) [ 8%] 2025-12-04T10:08:45.7509279Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_lite_mode_fallback_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1326s] [ 9%] 2025-12-04T10:08:45.7511027Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_log2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9236s] [ 10%] 2025-12-04T10:08:45.7512653Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_log_softmax_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.4806s] [ 11%] 2025-12-04T10:08:45.7514359Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_logcumsumexp_zero_dim_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6769s] [ 12%] 2025-12-04T10:08:45.7516163Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_low_memory_max_pool_dilation_2_dim_2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [4.2822s] [ 13%] 2025-12-04T10:08:45.7518330Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mark_dynamic_with_hint_override_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipping triton backend only since not big GPU (not enough SM)) [ 14%] 2025-12-04T10:08:45.7520886Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_matmul_layer_norm_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py W1204 10:06:45.589000 22428 site-packages/torch/_inductor/utils.py:1703] [0/0_1] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:08:45.7522372Z PASSED [2.9116s] [ 15%] 2025-12-04T10:08:45.7523318Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.1771s] [ 16%] 2025-12-04T10:08:45.7525077Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d_with_indices_backward6_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5698s] [ 17%] 2025-12-04T10:08:45.7526851Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_min_max_reduction_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2799s] [ 18%] 2025-12-04T10:08:45.7528592Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mixed_mm2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (Requires sm80) [ 19%] 2025-12-04T10:08:45.7530312Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_multilayer_any_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.4833s] [ 20%] 2025-12-04T10:08:45.7532099Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_multilayer_sum_low_prec_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0083s] [ 21%] 2025-12-04T10:08:45.7533889Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mutable_custom_op_fixed_layout2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6142s] [ 22%] 2025-12-04T10:08:45.7535753Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1323s] [ 23%] 2025-12-04T10:08:45.7537594Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_needs_contiguous_strides_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.1065s] [ 25%] 2025-12-04T10:08:45.7539318Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_new_empty_strided_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2224s] [ 26%] 2025-12-04T10:08:45.7541175Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_no_specization_over_symbolic_value_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7246s] [ 27%] 2025-12-04T10:08:45.7542920Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pad_single_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3364s] [ 28%] 2025-12-04T10:08:45.7544624Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pattern_matcher_unbacked_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6580s] [ 29%] 2025-12-04T10:08:45.7546367Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_permute2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4619s] [ 30%] 2025-12-04T10:08:45.7548036Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_bessel_j0_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9725s] [ 31%] 2025-12-04T10:08:45.7549759Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_bessel_y0_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.6488s] [ 32%] 2025-12-04T10:08:45.7551547Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0127s] [ 33%] 2025-12-04T10:08:45.7553321Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_log_ndtr_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0630s] [ 34%] 2025-12-04T10:08:45.7555080Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_modified_bessel_i1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4941s] [ 35%] 2025-12-04T10:08:45.7556924Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_scaled_modified_bessel_k1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5770s] [ 36%] 2025-12-04T10:08:45.7558838Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4893s] [ 37%] 2025-12-04T10:08:45.7560640Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_sinc_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.1678s] [ 38%] 2025-12-04T10:08:45.7562528Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_xlogy_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6752s] [ 39%] 2025-12-04T10:08:45.7564206Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_randn_like_empty_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2955s] [ 40%] 2025-12-04T10:08:45.7565937Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_reflection_pad2d_backward_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [9.0670s] [ 41%] 2025-12-04T10:08:45.7567615Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_relu_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5781s] [ 42%] 2025-12-04T10:08:45.7569224Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_no_ops_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.5198s] [ 43%] 2025-12-04T10:08:45.7570885Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_noop_copy_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2626s] [ 44%] 2025-12-04T10:08:45.7572650Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_noop_view_dtype_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2150s] [ 45%] 2025-12-04T10:08:45.7574309Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_repeat_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.7267s] [ 46%] 2025-12-04T10:08:45.7576138Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_repeat_interleave_Tensor_decomp_int64_nd_2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5110s] [ 47%] 2025-12-04T10:08:45.7577888Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_round_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6550s] [ 48%] 2025-12-04T10:08:45.7579636Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (unstable on sm86) [ 50%] 2025-12-04T10:08:45.7581367Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter_reduce2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0157s] [ 51%] 2025-12-04T10:08:45.7583038Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter_reduce3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2342s] [ 52%] 2025-12-04T10:08:45.7584776Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scheduler_vertical_fusion1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.3899s] [ 53%] 2025-12-04T10:08:45.7586866Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Does not support SDPA or pre-SM80 hardware) [ 54%] 2025-12-04T10:08:45.7589256Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Does not support SDPA or pre-SM80 hardware) [ 55%] 2025-12-04T10:08:45.7591299Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_unaligned_mask_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0196s] [ 56%] 2025-12-04T10:08:45.7593061Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_unaligned_mask_freezing_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3913s] [ 57%] 2025-12-04T10:08:45.7594799Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_searchsorted_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [13.4529s] [ 58%] 2025-12-04T10:08:45.7596496Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_shape_prop_torch_ones_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9523s] [ 59%] 2025-12-04T10:08:45.7598229Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_should_pad_bench_for_bmm_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.0039s] [ 60%] 2025-12-04T10:08:45.7600028Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_size_asserts_for_multi_output_fallback_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1516s] [ 61%] 2025-12-04T10:08:45.7601847Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_softmax_one_kernel_loop_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5021s] [ 62%] 2025-12-04T10:08:45.7603607Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_softmax_one_kernel_persist_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4437s] [ 63%] 2025-12-04T10:08:45.7605449Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_squeeze1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9473s] [ 64%] 2025-12-04T10:08:45.7607265Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2571s] [ 65%] 2025-12-04T10:08:45.7609143Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tan_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9424s] [ 66%] 2025-12-04T10:08:45.7610711Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tanh_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7978s] [ 67%] 2025-12-04T10:08:45.7612429Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tensor_index_put_slice_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [6.9857s] [ 68%] 2025-12-04T10:08:45.7614190Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_to_device_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4117s] [ 69%] 2025-12-04T10:08:45.7615843Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_torch_device_split_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1090s] [ 70%] 2025-12-04T10:08:45.7617545Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unbacked_float_item_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.8694s] [ 71%] 2025-12-04T10:08:45.7619278Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unspec_inputs_float64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7045s] [ 72%] 2025-12-04T10:08:45.7621008Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_bicubic2d_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [15.1126s] [ 73%] 2025-12-04T10:08:45.7622747Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_bilinear2d_a_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [4.7290s] [ 75%] 2025-12-04T10:08:45.7624676Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_cat_conv_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (only support cpu upsample_cat_conv test) [ 76%] 2025-12-04T10:08:45.7626631Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_nearest2d_backward_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.8060s] [ 77%] 2025-12-04T10:08:45.7628380Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_var_correction_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9634s] [ 78%] 2025-12-04T10:08:45.7630079Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_vectorized_ops_masked_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2306s] [ 79%] 2025-12-04T10:08:45.7631785Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_view_on_aliased_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2552s] [ 80%] 2025-12-04T10:08:45.7633574Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_view_uint8_through_differing_bitwidths_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.6324s] [ 81%] 2025-12-04T10:08:45.7635322Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.8792s] [ 82%] 2025-12-04T10:08:45.7636910Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views7_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6173s] [ 83%] 2025-12-04T10:08:45.7638549Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_where_broadcast_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.4435s] [ 84%] 2025-12-04T10:08:45.7640249Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_zero_dim_reductions_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4018s] [ 85%] 2025-12-04T10:08:45.7641974Z inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_zero_element_mutation_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2747s] [ 86%] 2025-12-04T10:08:45.7643429Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_abs_cuda PASSED [0.9120s] [ 87%] 2025-12-04T10:08:45.7644581Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_dynamic_rblock_bounds_cuda PASSED [0.6543s] [ 88%] 2025-12-04T10:08:45.7645738Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_floor_cuda PASSED [1.1380s] [ 89%] 2025-12-04T10:08:45.7646884Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_interpolate_ceil_eq_cuda PASSED [4.5665s] [ 90%] 2025-12-04T10:08:45.7648205Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_item_to_inputs_kernel_nobreak_cuda PASSED [0.5039s] [ 91%] 2025-12-04T10:08:45.7649432Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_math_ops_op6_cuda PASSED [0.6341s] [ 92%] 2025-12-04T10:08:45.7650619Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_meta_dynamic_shapes_cuda PASSED [1.2039s] [ 93%] 2025-12-04T10:08:45.7651930Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_noops_tensor_repropagate_cuda PASSED [0.6562s] [ 94%] 2025-12-04T10:08:45.7653194Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_return_unbacked_view_split_cuda PASSED [0.7762s] [ 95%] 2025-12-04T10:08:45.7654538Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_shape_as_constant_reciprocal_float_exp_cuda PASSED [1.1132s] [ 96%] 2025-12-04T10:08:45.7656001Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_unbacked_index_select_cuda SKIPPED [0.0003s] (failing memory leak check) [ 97%] 2025-12-04T10:08:45.7657344Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_unbacked_matmul_cuda PASSED [0.6460s] [ 98%] 2025-12-04T10:08:45.7658696Z inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCUDA::test_unspecialized_float_fallback_symint_specialization_cuda PASSED [2.5027s] [100%] 2025-12-04T10:08:45.7659540Z 2025-12-04T10:08:45.7660470Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-77bd744d143d2de0.xml - 2025-12-04T10:08:45.7661754Z ========== 88 passed, 8 skipped, 265 deselected in 139.06s (0:02:19) =========== 2025-12-04T10:08:45.7662789Z The following tests failed consistently: ['test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf_dynamic_shapes_cuda'] 2025-12-04T10:08:45.7663592Z 2025-12-04T10:08:45.7664326Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_dynamic_shapes 2/5 (test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.5_fb4eb20ea6243af3_.log) 2025-12-04T10:08:45.7665183Z 2025-12-04T10:08:45.7665618Z Finished inductor/test_torchinductor_dynamic_shapes 2/5 ... [2025-12-04 10:08:45.617086][2161.366627827], took 8.74min 2025-12-04T10:08:45.7667169Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-5bd32befb3d169dc.xml 2025-12-04T10:08:45.7669249Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-a7bdbf171afae6f5.xml 2025-12-04T10:08:45.7671336Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-b2b69cb9e8335c5c.xml 2025-12-04T10:08:45.7881761Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_dynamic_shapes/inductor.test_torchinductor_dynamic_shapes-77bd744d143d2de0.xml 2025-12-04T10:08:46.1414829Z Uploading logs for 57119749297 to S3 2025-12-04T10:08:46.1812124Z Uploading artifacts took 0.33 seconds 2025-12-04T10:08:46.1812591Z inductor/test_torchinductor_dynamic_shapes 2/5 failed! 2025-12-04T10:08:46.1817932Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/4 ... [2025-12-04 10:08:46.181590][2161.931136001] 2025-12-04T10:08:46.1818651Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:08:46.1822111Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '--shard-id=1', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:08:46.181948] 2025-12-04T10:18:15.2349124Z 2025-12-04T10:18:15.2350800Z PRINTING LOG FILE of inductor/test_torchinductor_codegen_dynamic_shapes 1/4 (test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.4_dc1bcbffc016889a_.log) 2025-12-04T10:18:15.2352785Z W1204 10:08:54.897000 25531 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:18:15.2354460Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-55e7aea715e7b8ff.xml 2025-12-04T10:18:15.2356037Z ============================= test session starts ============================== 2025-12-04T10:18:15.2356766Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:18:15.2357702Z cachedir: .pytest_cache 2025-12-04T10:18:15.2358871Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:18:15.2360225Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:18:15.2360755Z configfile: pytest.ini 2025-12-04T10:18:15.2362071Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:18:15.2363402Z collecting ... collected 1750 items 2025-12-04T10:18:15.2363892Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T10:18:15.2666820Z Running 433 items in this shard: test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test__dyn_quant_matmul_4bit_bf16_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool1d_argmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool_with_output_size_0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_const_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_support_out_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_with_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_as_strided_on_views_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_as_strided_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_alignment_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_alignment_op_name_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_size_stride_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_batch_norm_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_float_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_negative_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_of_loops_and_extern_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_upcasting_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_compar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_const_int32_to_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv3d_channels_last_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_functional_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cpu_scalar_with_gpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cpu_tensor_with_cpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cpu_tensor_with_gpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cudnn_rnn_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_fixed_layout_sequential_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_data_type_propogation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_device_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div9_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_by_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_byte_unpack_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_expand_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fft_real_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_flexible_layout_immutable_free_symbols_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fmin_fmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_like_sliced_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_functionalize_rng_wrappers_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_generated_code_has_alignment_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gpu_scalar_with_cpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gpu_scalar_with_gpu_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_failed_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inner_fn_str_and_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inplace_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_int8_weight_only_quant_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_invalid_operand_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_isinf2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lgamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_sliced_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logcumsumexp_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_long_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_1_dim_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mean_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_misaligned_address_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mix_device_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_move_arange_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_recompile_on_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_threading_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_assert_inside_triton_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_sort_stable_False_descending_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_to_num_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_narrow_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_op_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_specization_over_symbolic_value_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_philox_rand_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pixel_shuffle_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_airy_ai_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_y1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_entr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammaln_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_log_ndtr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_ndtri_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_scaled_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_w_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_polar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_prod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_int64_mod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reflection_pad2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reinterpret_dtypeview_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_view_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_replication_pad_errors_with_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_require_stride_expanded_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_roll_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_rsqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_cpu_tensor_arg_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_unaligned_mask_freezing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_select_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_shape_padding_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_signbit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_failed_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_reduction_with_int64_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stack_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_std_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_strided_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor_index_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_topk_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_triton_argmin_argmax_transpose_logical_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_triton_kernel_bool_param_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_uint4x2_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unfold_zero_dimension_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unroll_small_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unsigned_constant_tensors_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vdd_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vectorized_ops_masked_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_on_aliased_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zero_element_mutation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test__dyn_quant_pack_4bit_weight_bf16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_abs_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_adaptive_avg_pool2d1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_adaptive_avg_pool2d_low_prec_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_adaptive_max_pool2d2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_add_const_float_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_add_const_int_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_addmm_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_aliased_buffer_reuse_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_allow_reuse_active_if_under_peak_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_aoti_eager_override_registration_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_aoti_eager_with_persistent_cache_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_aoti_eager_with_scalar_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_arange5_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_argmax_argmin1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_as_strided_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_as_strided_scatter_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_assert_alignment_op_name_fail_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_assert_size_stride_op_name_fail_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool2d3_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool2d6_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool2d8_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool2d_backward3_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool3d_backward4_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_batch_norm_2d_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bernoulli2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_both_scalars_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_broadcast_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_computed_offsets_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_int_int16_int64_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_int_int16_uint8_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_int_uint8_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_int_uint8_int32_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_buffer_copied_in_graph_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_buffer_copied_in_graph_with_different_shapes_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cat_empty_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cat_empty_index_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cat_upcasting_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_clamp_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_clone_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_compar_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_consecutive_split_cumprod_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_const_int32_to_float_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_constant_pad_2d_strides_nonpositive_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_constant_pad_3d_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_constant_pad_fill_dtype_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_conv1d_depthwise_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_conv_functional_bn_fuse_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_convolution3_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_copy_with_scalar_src_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cpu_scalar_with_gpu_tensor_dynamic_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cudnn_rnn_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cumsum_inf_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cumsum_no_mask_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cumsum_zero_dim_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_custom_op_3_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_custom_op_default_layout_constraint_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_custom_op_unbacked_symints_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_custom_scan_op_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_data_type_propogation_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_device_assert_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_div9_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_div_precision_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_div_zero_dim_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dont_constant_fold_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dropout3_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dropout_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float16_float64_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float32_float64_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float64_float16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float64_float64_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float64_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float64_int64_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int16_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int32_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int32_int64_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int32_uint8_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int64_float16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int64_float32_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int64_uint8_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int8_float16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int8_float32_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int8_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int8_int32_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_uint8_float64_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_uint8_uint8_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_embedding_bag_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_exact_stride_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_exp_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_expand_as_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_expand_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_fallback_mutable_op_list_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_fill2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_flip_cat_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_float16_to_int16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_float32_to_int32_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_float_repr_dynamic_shapes_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_fmod_zero_dim_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_fractional_max_pool2d1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_full_like_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_gather1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_gather_scatter_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_generated_code_has_size_stride_assert_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_glu_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_arange1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_arange2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_constant_tensor2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_mutation_real_name_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_pad_dynamic_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_grid_sampler_expand_preserves_view_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_float_zero_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_propagation_abs_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_put2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_put3_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_put4_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_remainder_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_indirect_load_broadcast_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_inductor_assert_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_inplace_flip_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_inplace_resize_as_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_inplace_where_pointwise_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_input_mutation1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_input_mutation2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_input_mutation4_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_insignificant_strides_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_kwargs_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_large_offset_pointwise_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_leaky_relu_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_like_channels_last_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_like_rands3_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_like_rands_sliced_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_linalg_eig_stride_consistency_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_linear_dynamic_maxautotune_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_linspace1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_linspace4_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_lite_mode_fallback_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_lite_mode_not_decompose_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_log_fp64_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_log_softmax_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_logsumexp_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_masked_fill_promotion_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d7_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d8_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d_with_indices_backward2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d_with_indices_backward5_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_min_max_reduction_nan_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_misaligned_address_issue1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_mixed_mm2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_mixed_mm_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_move_arange_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_multilayer_prime_size_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_nan_sort_stable_True_descending_False_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_narrow_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_neg_index_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_new_ones_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_no_op_reduction_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_nonzero_unbacked_refinement_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pad_view_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pattern_matcher_unbacked_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_philox_rand_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_bessel_y1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_digamma_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_entr_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_i0e_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_legendre_polynomial_p_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_modified_bessel_i0_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_ndtr_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_ndtri_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_polygamma_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_scaled_modified_bessel_k1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_profiler_mark_wrapper_call_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_randint_distribution_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_randint_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_randint_int64_mod_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_randint_kernel_count_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_reduction4_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_reduction5_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_remainder_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_remove_noop_clone_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_remove_noop_slice_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_rsqrt_dynamic_shapes_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scaled_dot_product_attention_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter4_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter_bf16_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter_reduce2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter_reduce3_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_searchsorted_broadcast_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sigmoid_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_signbit_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_simplify_loops_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_slice1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_slice_scatter5_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_slice_scatter_dtype_consistency_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_slice_view_with_graph_break_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_softmax_one_kernel_loop_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_special_polygamma_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_split_reduction_with_int64_size_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_split_with_list_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_squeeze_varargs_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_stack_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_std_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sum2_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sum_dtype_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sum_int_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_tan_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_tensor1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_tensor3_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_to_device_constant_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_transposed_propagates_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_unbacked_floordiv_simplify_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_unsigned_constant_tensors_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_unspec_inputs_int32_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_upsample_bilinear2d_b_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_upsample_nearest1d_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_upsample_nearest2d_backward_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_upsample_nearest3d_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_var_mean_div_by_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_var_mean_tile_reduction_True_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_vdd_clamp_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_views1_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_views6_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_weight_norm_conv2d_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_where_broadcast_dynamic_shapes_cuda, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_zero_element_mutation_dynamic_shapes_cuda 2025-12-04T10:18:15.2969055Z 2025-12-04T10:18:15.2970034Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test__dyn_quant_matmul_4bit_bf16_input_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [5.1447s] [ 0%] 2025-12-04T10:18:15.2971966Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_abs_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7692s] [ 0%] 2025-12-04T10:18:15.2973822Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool1d_argmax_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1191s] [ 0%] 2025-12-04T10:18:15.2975807Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool_with_output_size_0_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.1696s] [ 0%] 2025-12-04T10:18:15.2977862Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex6_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8602s] [ 1%] 2025-12-04T10:18:15.2979764Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex7_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 1%] 2025-12-04T10:18:15.2981744Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_const_float_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7180s] [ 1%] 2025-12-04T10:18:15.2983980Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_support_out_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py W1204 10:09:06.010000 25531 site-packages/torch/_export/__init__.py:71] +============================+ 2025-12-04T10:18:15.2985733Z W1204 10:09:06.010000 25531 site-packages/torch/_export/__init__.py:72] | !!! WARNING !!! | 2025-12-04T10:18:15.2986596Z W1204 10:09:06.010000 25531 site-packages/torch/_export/__init__.py:73] +============================+ 2025-12-04T10:18:15.2988324Z W1204 10:09:06.011000 25531 site-packages/torch/_export/__init__.py:74] torch._export.aot_compile()/torch._export.aot_load() is being deprecated, please switch to directly calling torch._inductor.aoti_compile_and_package(torch.export.export())/torch._inductor.aoti_load_package() instead. 2025-12-04T10:18:15.2989809Z PASSED [6.4252s] [ 1%] 2025-12-04T10:18:15.2990882Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_with_scalar_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [26.0447s] [ 2%] 2025-12-04T10:18:15.2992733Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.7549s] [ 2%] 2025-12-04T10:18:15.2994504Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange6_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.7234s] [ 2%] 2025-12-04T10:18:15.2996385Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_as_strided_on_views_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 2%] 2025-12-04T10:18:15.2998332Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_as_strided_scatter_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0330s] [ 3%] 2025-12-04T10:18:15.3000250Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_alignment_op_name_fail_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0032s] [ 3%] 2025-12-04T10:18:15.3002239Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_alignment_op_name_pass_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0028s] [ 3%] 2025-12-04T10:18:15.3004225Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_size_stride_op_name_fail_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0029s] [ 3%] 2025-12-04T10:18:15.3006335Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0027s] [ 3%] 2025-12-04T10:18:15.3008252Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.0303s] [ 4%] 2025-12-04T10:18:15.3010066Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d4_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0760s] [ 4%] 2025-12-04T10:18:15.3012107Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [32.5437s] [ 4%] 2025-12-04T10:18:15.3014024Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.7911s] [ 4%] 2025-12-04T10:18:15.3015938Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.3616s] [ 5%] 2025-12-04T10:18:15.3018204Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0004s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 5%] 2025-12-04T10:18:15.3020353Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_batch_norm_2d_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [5.0236s] [ 5%] 2025-12-04T10:18:15.3022238Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_int16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.1574s] [ 5%] 2025-12-04T10:18:15.3024176Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_uint8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1603s] [ 6%] 2025-12-04T10:18:15.3026125Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1639s] [ 6%] 2025-12-04T10:18:15.3028067Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2252s] [ 6%] 2025-12-04T10:18:15.3029993Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2647s] [ 6%] 2025-12-04T10:18:15.3031909Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.1420s] [ 6%] 2025-12-04T10:18:15.3033829Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_uint8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2097s] [ 7%] 2025-12-04T10:18:15.3035769Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2378s] [ 7%] 2025-12-04T10:18:15.3037671Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8028s] [ 7%] 2025-12-04T10:18:15.3039593Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_float_ndigits_zero_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7465s] [ 7%] 2025-12-04T10:18:15.3041581Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_inplace_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 8%] 2025-12-04T10:18:15.3043486Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_negative_dim_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.7428s] [ 8%] 2025-12-04T10:18:15.3045467Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_of_loops_and_extern_kernel_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 8%] 2025-12-04T10:18:15.3047537Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0132s] [ 8%] 2025-12-04T10:18:15.3049410Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_upcasting_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8833s] [ 9%] 2025-12-04T10:18:15.3051271Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_compar_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.7325s] [ 9%] 2025-12-04T10:18:15.3053240Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.6097s] [ 9%] 2025-12-04T10:18:15.3055209Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_const_int32_to_float_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.6958s] [ 9%] 2025-12-04T10:18:15.3057070Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_2d_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2459s] [ 9%] 2025-12-04T10:18:15.3059025Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv3d_channels_last_use_block_ptr_False_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [1.9551s] [ 10%] 2025-12-04T10:18:15.3061240Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_bn_fuse_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 10%] 2025-12-04T10:18:15.3063454Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_functional_bn_fuse_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 10%] 2025-12-04T10:18:15.3065849Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cpu_scalar_with_gpu_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py W1204 10:10:45.978000 25531 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T10:18:15.3067384Z PASSED [0.2602s] [ 10%] 2025-12-04T10:18:15.3068485Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cpu_tensor_with_cpu_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7782s] [ 11%] 2025-12-04T10:18:15.3070422Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cpu_tensor_with_gpu_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0219s] [ 11%] 2025-12-04T10:18:15.3072382Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cudnn_rnn_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (requires cuda) [ 11%] 2025-12-04T10:18:15.3074384Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_fixed_layout_sequential_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.6801s] [ 11%] 2025-12-04T10:18:15.3076364Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_data_type_propogation_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.7569s] [ 12%] 2025-12-04T10:18:15.3078254Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_device_assert_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8631s] [ 12%] 2025-12-04T10:18:15.3080037Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div6_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0777s] [ 12%] 2025-12-04T10:18:15.3081849Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div9_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7606s] [ 12%] 2025-12-04T10:18:15.3083625Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_by_zero_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9186s] [ 12%] 2025-12-04T10:18:15.3085515Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_float16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8351s] [ 13%] 2025-12-04T10:18:15.3087525Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9102s] [ 13%] 2025-12-04T10:18:15.3089473Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8617s] [ 13%] 2025-12-04T10:18:15.3091513Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.2268s] [ 13%] 2025-12-04T10:18:15.3093460Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8390s] [ 14%] 2025-12-04T10:18:15.3095403Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_uint8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0041s] [ 14%] 2025-12-04T10:18:15.3097358Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0038s] [ 14%] 2025-12-04T10:18:15.3099302Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0037s] [ 14%] 2025-12-04T10:18:15.3101237Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8571s] [ 15%] 2025-12-04T10:18:15.3103178Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8750s] [ 15%] 2025-12-04T10:18:15.3105248Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.7694s] [ 15%] 2025-12-04T10:18:15.3107176Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float32_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8458s] [ 15%] 2025-12-04T10:18:15.3109102Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int16_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8863s] [ 15%] 2025-12-04T10:18:15.3111010Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8696s] [ 16%] 2025-12-04T10:18:15.3112919Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9010s] [ 16%] 2025-12-04T10:18:15.3114843Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float64_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9331s] [ 16%] 2025-12-04T10:18:15.3116751Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int8_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8691s] [ 16%] 2025-12-04T10:18:15.3118765Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_byte_unpack_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.5682s] [ 17%] 2025-12-04T10:18:15.3120655Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.1939s] [ 17%] 2025-12-04T10:18:15.3122540Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0207s] [ 17%] 2025-12-04T10:18:15.3124288Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9470s] [ 17%] 2025-12-04T10:18:15.3126047Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_expand_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.8599s] [ 18%] 2025-12-04T10:18:15.3127883Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_list_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.2193s] [ 18%] 2025-12-04T10:18:15.3129834Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fft_real_input_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 18%] 2025-12-04T10:18:15.3131926Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_flexible_layout_immutable_free_symbols_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0035s] [ 18%] 2025-12-04T10:18:15.3133863Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fmin_fmax_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9315s] [ 18%] 2025-12-04T10:18:15.3135691Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_like_sliced_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7805s] [ 19%] 2025-12-04T10:18:15.3137596Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_functionalize_rng_wrappers_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0543s] [ 19%] 2025-12-04T10:18:15.3139538Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 19%] 2025-12-04T10:18:15.3141713Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_generated_code_has_alignment_assert_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (triton backend is required for cpu) [ 19%] 2025-12-04T10:18:15.3143898Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gpu_scalar_with_cpu_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0306s] [ 20%] 2025-12-04T10:18:15.3145832Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gpu_scalar_with_gpu_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.4902s] [ 20%] 2025-12-04T10:18:15.3147687Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2822s] [ 20%] 2025-12-04T10:18:15.3149523Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_abs_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2369s] [ 20%] 2025-12-04T10:18:15.3151463Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_failed_reinplace_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9490s] [ 21%] 2025-12-04T10:18:15.3153455Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inner_fn_str_and_stride_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7936s] [ 21%] 2025-12-04T10:18:15.3155327Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inplace_flip_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.0205s] [ 21%] 2025-12-04T10:18:15.3157195Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_int8_weight_only_quant_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8355s] [ 21%] 2025-12-04T10:18:15.3159163Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_invalid_operand_issue1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.5456s] [ 21%] 2025-12-04T10:18:15.3161004Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_isinf2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.8061s] [ 22%] 2025-12-04T10:18:15.3162778Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lgamma_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9552s] [ 22%] 2025-12-04T10:18:15.3164593Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_sliced_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.2844s] [ 22%] 2025-12-04T10:18:15.3166419Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.1014s] [ 22%] 2025-12-04T10:18:15.3168368Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace4_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (requires multiple cuda devices) [ 23%] 2025-12-04T10:18:15.3170400Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logcumsumexp_zero_dim_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.6824s] [ 23%] 2025-12-04T10:18:15.3172358Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_long_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8029s] [ 23%] 2025-12-04T10:18:15.3174279Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_1_dim_3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [6.2811s] [ 23%] 2025-12-04T10:18:15.3176320Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_promotion_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 24%] 2025-12-04T10:18:15.3178344Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [8.1061s] [ 24%] 2025-12-04T10:18:15.3180661Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward4_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0006s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 24%] 2025-12-04T10:18:15.3182838Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mean_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.3033s] [ 24%] 2025-12-04T10:18:15.3184695Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_misaligned_address_issue1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.7583s] [ 24%] 2025-12-04T10:18:15.3186600Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mix_device_index_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8578s] [ 25%] 2025-12-04T10:18:15.3188485Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_move_arange_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7419s] [ 25%] 2025-12-04T10:18:15.3190446Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_recompile_on_index_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 25%] 2025-12-04T10:18:15.3192433Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_threading_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.2461s] [ 25%] 2025-12-04T10:18:15.3194424Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_assert_inside_triton_kernel_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.6955s] [ 26%] 2025-12-04T10:18:15.3196455Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1272s] [ 26%] 2025-12-04T10:18:15.3198525Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_sort_stable_False_descending_True_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1198s] [ 26%] 2025-12-04T10:18:15.3200427Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_to_num_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.4401s] [ 26%] 2025-12-04T10:18:15.3202205Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_narrow_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9383s] [ 27%] 2025-12-04T10:18:15.3204014Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_op_reduction_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7582s] [ 27%] 2025-12-04T10:18:15.3206129Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_specization_over_symbolic_value_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7364s] [ 27%] 2025-12-04T10:18:15.3208046Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1109s] [ 27%] 2025-12-04T10:18:15.3210109Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_philox_rand_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (functionalization of rng ops supported only on cuda) [ 27%] 2025-12-04T10:18:15.3212378Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pixel_shuffle_channels_last_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.4071s] [ 28%] 2025-12-04T10:18:15.3214314Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_airy_ai_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8054s] [ 28%] 2025-12-04T10:18:15.3216203Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_y1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8452s] [ 28%] 2025-12-04T10:18:15.3218075Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_entr_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0654s] [ 28%] 2025-12-04T10:18:15.3219936Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammaln_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8957s] [ 29%] 2025-12-04T10:18:15.3221903Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7598s] [ 29%] 2025-12-04T10:18:15.3223969Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_log_ndtr_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2246s] [ 29%] 2025-12-04T10:18:15.3225908Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_i1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7673s] [ 29%] 2025-12-04T10:18:15.3227900Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7865s] [ 30%] 2025-12-04T10:18:15.3229892Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_ndtri_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7781s] [ 30%] 2025-12-04T10:18:15.3231852Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_scaled_modified_bessel_k0_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7838s] [ 30%] 2025-12-04T10:18:15.3233941Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7763s] [ 30%] 2025-12-04T10:18:15.3236058Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_w_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7831s] [ 30%] 2025-12-04T10:18:15.3238053Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_polar_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 31%] 2025-12-04T10:18:15.3239853Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9211s] [ 31%] 2025-12-04T10:18:15.3241610Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_prod_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.6483s] [ 31%] 2025-12-04T10:18:15.3243384Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9513s] [ 31%] 2025-12-04T10:18:15.3245214Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_int64_mod_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9013s] [ 32%] 2025-12-04T10:18:15.3247096Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reflection_pad2d_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [10.9453s] [ 32%] 2025-12-04T10:18:15.3248989Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reinterpret_dtypeview_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.1560s] [ 32%] 2025-12-04T10:18:15.3250982Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_view_dtype_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.2219s] [ 32%] 2025-12-04T10:18:15.3252894Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.5075s] [ 33%] 2025-12-04T10:18:15.3254846Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_replication_pad_errors_with_bool_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9815s] [ 33%] 2025-12-04T10:18:15.3256901Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_require_stride_expanded_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 33%] 2025-12-04T10:18:15.3258799Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_roll_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.9070s] [ 33%] 2025-12-04T10:18:15.3260619Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_round_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8507s] [ 33%] 2025-12-04T10:18:15.3262461Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_rsqrt_dynamic_shapes_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8655s] [ 34%] 2025-12-04T10:18:15.3264439Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_cpu_tensor_arg_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [3.1764s] [ 34%] 2025-12-04T10:18:15.3266289Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter4_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8051s] [ 34%] 2025-12-04T10:18:15.3268093Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7688s] [ 34%] 2025-12-04T10:18:15.3270294Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Does not support SDPA or pre-SM80 hardware) [ 35%] 2025-12-04T10:18:15.3272856Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Does not support SDPA or pre-SM80 hardware) [ 35%] 2025-12-04T10:18:15.3275136Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_unaligned_mask_freezing_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.4108s] [ 35%] 2025-12-04T10:18:15.3277065Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_select_scatter_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1597s] [ 35%] 2025-12-04T10:18:15.3278902Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_shape_padding_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [1.0845s] [ 36%] 2025-12-04T10:18:15.3280697Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_signbit_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0346s] [ 36%] 2025-12-04T10:18:15.3282483Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.4991s] [ 36%] 2025-12-04T10:18:15.3284247Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.2495s] [ 36%] 2025-12-04T10:18:15.3286009Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.5671s] [ 36%] 2025-12-04T10:18:15.3287823Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_mutation3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8780s] [ 37%] 2025-12-04T10:18:15.3289663Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8225s] [ 37%] 2025-12-04T10:18:15.3291582Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8582s] [ 37%] 2025-12-04T10:18:15.3293429Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter5_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9765s] [ 37%] 2025-12-04T10:18:15.3295386Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter_reinplace_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.8131s] [ 38%] 2025-12-04T10:18:15.3297250Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_bool_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9890s] [ 38%] 2025-12-04T10:18:15.3299050Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_transpose_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.1691s] [ 38%] 2025-12-04T10:18:15.3300942Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.2188s] [ 38%] 2025-12-04T10:18:15.3302916Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_low_prec_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (ir.Scan nyi on CPU) [ 39%] 2025-12-04T10:18:15.3305181Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_low_prec_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (ir.Scan nyi on CPU) [ 39%] 2025-12-04T10:18:15.3307156Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_failed_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.0234s] [ 39%] 2025-12-04T10:18:15.3309696Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_reduction_with_int64_size_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (The test fails some times on CI: https://github.com/pytorch/pytorch/actions/runs/15333913377/job/43153170162. Skip for now.) [ 39%] 2025-12-04T10:18:15.3312260Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_list_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [3.9532s] [ 39%] 2025-12-04T10:18:15.3314221Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9894s] [ 40%] 2025-12-04T10:18:15.3316250Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_unbacked_symints_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7359s] [ 40%] 2025-12-04T10:18:15.3318122Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stack_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.7966s] [ 40%] 2025-12-04T10:18:15.3319867Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_std_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.0752s] [ 40%] 2025-12-04T10:18:15.3321830Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.5869s] [ 41%] 2025-12-04T10:18:15.3323923Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_strided_inputs_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 41%] 2025-12-04T10:18:15.3325792Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.8196s] [ 41%] 2025-12-04T10:18:15.3327538Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum2_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.0894s] [ 41%] 2025-12-04T10:18:15.3329285Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum5_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9382s] [ 42%] 2025-12-04T10:18:15.3331311Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor_index_slice_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [4.2016s] [ 42%] 2025-12-04T10:18:15.3333126Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_topk_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.1571s] [ 42%] 2025-12-04T10:18:15.3335134Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_triton_argmin_argmax_transpose_logical_index_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 42%] 2025-12-04T10:18:15.3337402Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_triton_kernel_bool_param_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (requires GPU) [ 42%] 2025-12-04T10:18:15.3339388Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_uint4x2_mixed_mm_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.1654s] [ 43%] 2025-12-04T10:18:15.3341302Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unfold_zero_dimension_tensor_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.1053s] [ 43%] 2025-12-04T10:18:15.3343269Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unroll_small_reduction_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.9439s] [ 43%] 2025-12-04T10:18:15.3345222Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unsigned_constant_tensors_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.7815s] [ 43%] 2025-12-04T10:18:15.3347161Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest2d_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [2.2051s] [ 44%] 2025-12-04T10:18:15.3349006Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vdd_clamp_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [1.4987s] [ 44%] 2025-12-04T10:18:15.3350841Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vectorized_ops_masked_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [0.9239s] [ 44%] 2025-12-04T10:18:15.3352714Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_on_aliased_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.7176s] [ 44%] 2025-12-04T10:18:15.3354520Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views1_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py PASSED [37.7125s] [ 45%] 2025-12-04T10:18:15.3356282Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views3_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.9522s] [ 45%] 2025-12-04T10:18:15.3358162Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views4_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [2.7245s] [ 45%] 2025-12-04T10:18:15.3359981Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zero_element_mutation_dynamic_shapes_cpu <- test/inductor/test_torchinductor.py XFAIL [0.1375s] [ 45%] 2025-12-04T10:18:15.3362200Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test__dyn_quant_pack_4bit_weight_bf16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (No _dyn_quant_pack_4bit_weight implementation on CUDA) [ 45%] 2025-12-04T10:18:15.3364336Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_abs_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5238s] [ 46%] 2025-12-04T10:18:15.3366246Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_adaptive_avg_pool2d1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.5856s] [ 46%] 2025-12-04T10:18:15.3368197Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_adaptive_avg_pool2d_low_prec_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0637s] [ 46%] 2025-12-04T10:18:15.3370122Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_adaptive_max_pool2d2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.2002s] [ 46%] 2025-12-04T10:18:15.3372135Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_add_const_float_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4750s] [ 47%] 2025-12-04T10:18:15.3373985Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_add_const_int_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9415s] [ 47%] 2025-12-04T10:18:15.3375798Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_addmm_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4317s] [ 47%] 2025-12-04T10:18:15.3377644Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_aliased_buffer_reuse_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3358s] [ 47%] 2025-12-04T10:18:15.3379599Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_allow_reuse_active_if_under_peak_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.8945s] [ 48%] 2025-12-04T10:18:15.3381711Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_aoti_eager_override_registration_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (Requires sm80) [ 48%] 2025-12-04T10:18:15.3383927Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_aoti_eager_with_persistent_cache_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (Requires sm80) [ 48%] 2025-12-04T10:18:15.3386066Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_aoti_eager_with_scalar_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (Requires sm80) [ 48%] 2025-12-04T10:18:15.3388068Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_arange5_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 48%] 2025-12-04T10:18:15.3389955Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_argmax_argmin1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5393s] [ 49%] 2025-12-04T10:18:15.3391784Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_as_strided_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.4574s] [ 49%] 2025-12-04T10:18:15.3393640Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_as_strided_scatter_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7383s] [ 49%] 2025-12-04T10:18:15.3395577Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_assert_alignment_op_name_fail_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.0033s] [ 49%] 2025-12-04T10:18:15.3397590Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_assert_size_stride_op_name_fail_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.0030s] [ 50%] 2025-12-04T10:18:15.3399588Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.0029s] [ 50%] 2025-12-04T10:18:15.3401570Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool2d3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2272s] [ 50%] 2025-12-04T10:18:15.3403397Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool2d6_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5310s] [ 50%] 2025-12-04T10:18:15.3405356Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool2d8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.3665s] [ 51%] 2025-12-04T10:18:15.3407325Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool2d_backward3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.3662s] [ 51%] 2025-12-04T10:18:15.3409239Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_avg_pool3d_backward4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.4734s] [ 51%] 2025-12-04T10:18:15.3411170Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_batch_norm_2d_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.3159s] [ 51%] 2025-12-04T10:18:15.3413007Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bernoulli2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.3647s] [ 51%] 2025-12-04T10:18:15.3414841Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_both_scalars_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.7683s] [ 52%] 2025-12-04T10:18:15.3416721Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_broadcast_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.8793s] [ 52%] 2025-12-04T10:18:15.3418684Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_computed_offsets_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2385s] [ 52%] 2025-12-04T10:18:15.3420646Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_int_int16_int64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.4761s] [ 52%] 2025-12-04T10:18:15.3422611Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_int_int16_uint8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.4807s] [ 53%] 2025-12-04T10:18:15.3424566Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_int_uint8_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.4570s] [ 53%] 2025-12-04T10:18:15.3426515Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_bucketize_int_uint8_int32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.4463s] [ 53%] 2025-12-04T10:18:15.3428463Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_buffer_copied_in_graph_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7358s] [ 53%] 2025-12-04T10:18:15.3430488Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_buffer_copied_in_graph_with_different_shapes_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6933s] [ 54%] 2025-12-04T10:18:15.3432465Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cat_empty_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0655s] [ 54%] 2025-12-04T10:18:15.3434293Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cat_empty_index_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3078s] [ 54%] 2025-12-04T10:18:15.3436229Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cat_upcasting_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5319s] [ 54%] 2025-12-04T10:18:15.3438048Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_clamp_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4157s] [ 54%] 2025-12-04T10:18:15.3439814Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_clone_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3051s] [ 55%] 2025-12-04T10:18:15.3441651Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_compar_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2107s] [ 55%] 2025-12-04T10:18:15.3443540Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_consecutive_split_cumprod_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6761s] [ 55%] 2025-12-04T10:18:15.3445484Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_const_int32_to_float_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.7034s] [ 55%] 2025-12-04T10:18:15.3447464Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_constant_pad_2d_strides_nonpositive_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6716s] [ 56%] 2025-12-04T10:18:15.3449419Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_constant_pad_3d_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.3578s] [ 56%] 2025-12-04T10:18:15.3451390Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_constant_pad_fill_dtype_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3071s] [ 56%] 2025-12-04T10:18:15.3453316Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_conv1d_depthwise_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9998s] [ 56%] 2025-12-04T10:18:15.3455393Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_conv_functional_bn_fuse_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (only support cpu conv bn test) [ 57%] 2025-12-04T10:18:15.3457457Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_convolution3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [4.1768s] [ 57%] 2025-12-04T10:18:15.3459331Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_copy_with_scalar_src_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3329s] [ 57%] 2025-12-04T10:18:15.3461292Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cpu_scalar_with_gpu_tensor_dynamic_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2002s] [ 57%] 2025-12-04T10:18:15.3463205Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cudnn_rnn_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [3.5089s] [ 57%] 2025-12-04T10:18:15.3465011Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cumsum_inf_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4862s] [ 58%] 2025-12-04T10:18:15.3466841Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cumsum_no_mask_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6399s] [ 58%] 2025-12-04T10:18:15.3468688Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_cumsum_zero_dim_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1480s] [ 58%] 2025-12-04T10:18:15.3470519Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_custom_op_3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.1722s] [ 58%] 2025-12-04T10:18:15.3472514Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_custom_op_default_layout_constraint_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2299s] [ 59%] 2025-12-04T10:18:15.3474535Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_custom_op_unbacked_symints_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3757s] [ 59%] 2025-12-04T10:18:15.3476446Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_custom_scan_op_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2099s] [ 59%] 2025-12-04T10:18:15.3478520Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_data_type_propogation_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (triton not supported) [ 59%] 2025-12-04T10:18:15.3480530Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_device_assert_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3296s] [ 60%] 2025-12-04T10:18:15.3482335Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_div9_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2101s] [ 60%] 2025-12-04T10:18:15.3484135Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_div_precision_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.5182s] [ 60%] 2025-12-04T10:18:15.3485974Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_div_zero_dim_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.8578s] [ 60%] 2025-12-04T10:18:15.3487953Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dont_constant_fold_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0035s] (triton not supported) [ 60%] 2025-12-04T10:18:15.3489973Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dropout3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 61%] 2025-12-04T10:18:15.3491979Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dropout_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 61%] 2025-12-04T10:18:15.3494116Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float16_float64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 61%] 2025-12-04T10:18:15.3496480Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float32_float64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 61%] 2025-12-04T10:18:15.3498835Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float64_float16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (uses bfloat16 which requires SM >= 80) [ 62%] 2025-12-04T10:18:15.3501176Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float64_float64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 62%] 2025-12-04T10:18:15.3503516Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float64_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 62%] 2025-12-04T10:18:15.3505992Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_float64_int64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 62%] 2025-12-04T10:18:15.3508411Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int16_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 63%] 2025-12-04T10:18:15.3510731Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int32_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 63%] 2025-12-04T10:18:15.3514693Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int32_int64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (uses bfloat16 which requires SM >= 80) [ 63%] 2025-12-04T10:18:15.3516999Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int32_uint8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 63%] 2025-12-04T10:18:15.3519326Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int64_float16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 63%] 2025-12-04T10:18:15.3521693Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int64_float32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 64%] 2025-12-04T10:18:15.3524003Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int64_uint8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 64%] 2025-12-04T10:18:15.3526314Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int8_float16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 64%] 2025-12-04T10:18:15.3528629Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int8_float32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (uses bfloat16 which requires SM >= 80) [ 64%] 2025-12-04T10:18:15.3531005Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int8_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 65%] 2025-12-04T10:18:15.3533293Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_int8_int32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 65%] 2025-12-04T10:18:15.3535600Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_uint8_float64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 65%] 2025-12-04T10:18:15.3537928Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_dtypeview_uint8_uint8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (uses bfloat16 which requires SM >= 80) [ 65%] 2025-12-04T10:18:15.3540002Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_embedding_bag_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.1880s] [ 66%] 2025-12-04T10:18:15.3541840Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_exact_stride_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6265s] [ 66%] 2025-12-04T10:18:15.3543619Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_exp_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3135s] [ 66%] 2025-12-04T10:18:15.3545491Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_expand_as_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5556s] [ 66%] 2025-12-04T10:18:15.3547289Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_expand_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3419s] [ 66%] 2025-12-04T10:18:15.3549168Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_fallback_mutable_op_list_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2194s] [ 67%] 2025-12-04T10:18:15.3551104Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_fill2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3084s] [ 67%] 2025-12-04T10:18:15.3552879Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_flip_cat_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2951s] [ 67%] 2025-12-04T10:18:15.3554711Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_float16_to_int16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2123s] [ 67%] 2025-12-04T10:18:15.3556572Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_float32_to_int32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2357s] [ 68%] 2025-12-04T10:18:15.3558482Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_float_repr_dynamic_shapes_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9869s] [ 68%] 2025-12-04T10:18:15.3560382Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_fmod_zero_dim_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4816s] [ 68%] 2025-12-04T10:18:15.3562256Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_fractional_max_pool2d1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.3663s] [ 68%] 2025-12-04T10:18:15.3564130Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_full_like_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1864s] [ 69%] 2025-12-04T10:18:15.3565923Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_gather1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5801s] [ 69%] 2025-12-04T10:18:15.3567757Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_gather_scatter_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7118s] [ 69%] 2025-12-04T10:18:15.3569731Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_generated_code_has_size_stride_assert_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3021s] [ 69%] 2025-12-04T10:18:15.3571691Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_glu_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9907s] [ 69%] 2025-12-04T10:18:15.3573551Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_arange1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.5678s] [ 70%] 2025-12-04T10:18:15.3575514Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_arange2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2971s] [ 70%] 2025-12-04T10:18:15.3577536Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_constant_tensor2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1681s] [ 70%] 2025-12-04T10:18:15.3579586Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_mutation_real_name_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6027s] [ 70%] 2025-12-04T10:18:15.3581649Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_graph_partition_pad_dynamic_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.1331s] [ 71%] 2025-12-04T10:18:15.3583671Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_grid_sampler_expand_preserves_view_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [11.8175s] [ 71%] 2025-12-04T10:18:15.3585649Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0390s] [ 71%] 2025-12-04T10:18:15.3587476Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_float_zero_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5577s] [ 71%] 2025-12-04T10:18:15.3589385Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_propagation_abs_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3535s] [ 72%] 2025-12-04T10:18:15.3591259Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_put2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0353s] [ 72%] 2025-12-04T10:18:15.3593062Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_put3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7571s] [ 72%] 2025-12-04T10:18:15.3594877Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_put4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2517s] [ 72%] 2025-12-04T10:18:15.3596719Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_index_remainder_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2713s] [ 72%] 2025-12-04T10:18:15.3598633Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_indirect_load_broadcast_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9834s] [ 73%] 2025-12-04T10:18:15.3600548Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_inductor_assert_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9459s] [ 73%] 2025-12-04T10:18:15.3602384Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_inplace_flip_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.1529s] [ 73%] 2025-12-04T10:18:15.3604245Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_inplace_resize_as_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.0785s] [ 73%] 2025-12-04T10:18:15.3606322Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_inplace_where_pointwise_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2099s] [ 74%] 2025-12-04T10:18:15.3608310Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_input_mutation1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 74%] 2025-12-04T10:18:15.3610315Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_input_mutation2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 74%] 2025-12-04T10:18:15.3612373Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_input_mutation4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0002s] (Skipped!) [ 74%] 2025-12-04T10:18:15.3614350Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_insignificant_strides_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2616s] [ 75%] 2025-12-04T10:18:15.3616495Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.2695s] [ 75%] 2025-12-04T10:18:15.3618632Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.2286s] [ 75%] 2025-12-04T10:18:15.3620651Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py FAILED [0.2270s] [ 75%] 2025-12-04T10:18:15.3621760Z 2025-12-04T10:18:15.3621906Z ==================================== RERUNS ==================================== 2025-12-04T10:18:15.3622542Z _ DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda _ 2025-12-04T10:18:15.3623149Z Traceback (most recent call last): 2025-12-04T10:18:15.3623911Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T10:18:15.3624713Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T10:18:15.3625528Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 457, in common 2025-12-04T10:18:15.3639852Z return check_codegen( 2025-12-04T10:18:15.3640650Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 87, in check_codegen 2025-12-04T10:18:15.3641574Z code = run_and_get_triton_code(run, *example_inputs, **kwargs) 2025-12-04T10:18:15.3642449Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T10:18:15.3643254Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T10:18:15.3643709Z AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3644032Z 2025-12-04T10:18:15.3644263Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3645443Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3646551Z 2025-12-04T10:18:15.3646824Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3647470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3647966Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3648398Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3648891Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3649237Z graph_break [] 2025-12-04T10:18:15.3649601Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3650716Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3651791Z warnings.warn( 2025-12-04T10:18:15.3652700Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3653667Z warnings.warn( 2025-12-04T10:18:15.3654179Z _ DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda _ 2025-12-04T10:18:15.3654790Z Traceback (most recent call last): 2025-12-04T10:18:15.3655540Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T10:18:15.3656353Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T10:18:15.3657175Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 457, in common 2025-12-04T10:18:15.3657955Z return check_codegen( 2025-12-04T10:18:15.3658694Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 87, in check_codegen 2025-12-04T10:18:15.3659715Z code = run_and_get_triton_code(run, *example_inputs, **kwargs) 2025-12-04T10:18:15.3660587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T10:18:15.3661366Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T10:18:15.3661813Z AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3662151Z 2025-12-04T10:18:15.3662443Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3663630Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3664591Z 2025-12-04T10:18:15.3664859Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3665498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3665983Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3666429Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3666908Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3667253Z graph_break [] 2025-12-04T10:18:15.3667628Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3668719Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3669705Z warnings.warn( 2025-12-04T10:18:15.3670606Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3671585Z warnings.warn( 2025-12-04T10:18:15.3671957Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3672441Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3672891Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3673371Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3673719Z graph_break [] 2025-12-04T10:18:15.3674096Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3675199Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3676165Z warnings.warn( 2025-12-04T10:18:15.3677059Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3678027Z warnings.warn( 2025-12-04T10:18:15.3678325Z =================================== FAILURES =================================== 2025-12-04T10:18:15.3678963Z _ DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda _ 2025-12-04T10:18:15.3679567Z Traceback (most recent call last): 2025-12-04T10:18:15.3680327Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T10:18:15.3681131Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T10:18:15.3681948Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 457, in common 2025-12-04T10:18:15.3682727Z return check_codegen( 2025-12-04T10:18:15.3683466Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 87, in check_codegen 2025-12-04T10:18:15.3684367Z code = run_and_get_triton_code(run, *example_inputs, **kwargs) 2025-12-04T10:18:15.3685239Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T10:18:15.3686033Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T10:18:15.3686469Z AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3686802Z 2025-12-04T10:18:15.3687089Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3688284Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3689241Z 2025-12-04T10:18:15.3689527Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3690211Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3690694Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3691225Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3691701Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3692045Z graph_break [] 2025-12-04T10:18:15.3692417Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3693526Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3694491Z warnings.warn( 2025-12-04T10:18:15.3695385Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3696358Z warnings.warn( 2025-12-04T10:18:15.3696727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3697214Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3697656Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3698147Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3698478Z graph_break [] 2025-12-04T10:18:15.3698853Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3699958Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3700921Z warnings.warn( 2025-12-04T10:18:15.3701813Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3702783Z warnings.warn( 2025-12-04T10:18:15.3703164Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3703638Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3704080Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3704750Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3705083Z graph_break [] 2025-12-04T10:18:15.3705458Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3706565Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3707548Z warnings.warn( 2025-12-04T10:18:15.3708428Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3709400Z warnings.warn( 2025-12-04T10:18:15.3710576Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-55e7aea715e7b8ff.xml - 2025-12-04T10:18:15.3711901Z =========================== short test summary info ============================ 2025-12-04T10:18:15.3713160Z FAILED [0.2270s] inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3714242Z 2025-12-04T10:18:15.3714459Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3715762Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3716726Z 2025-12-04T10:18:15.3717012Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3717595Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T10:18:15.3718254Z == 1 failed, 234 passed, 58 skipped, 33 xfailed, 2 rerun in 398.93s (0:06:38) == 2025-12-04T10:18:15.3718750Z Got exit code 1 2025-12-04T10:18:15.3719011Z Retrying single test... 2025-12-04T10:18:15.3719649Z W1204 10:15:48.509000 33768 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:18:15.3721067Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-5928f38fa2963deb.xml 2025-12-04T10:18:15.3722311Z ============================= test session starts ============================== 2025-12-04T10:18:15.3722967Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:18:15.3723576Z cachedir: .pytest_cache 2025-12-04T10:18:15.3724292Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:18:15.3725086Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:18:15.3725424Z configfile: pytest.ini 2025-12-04T10:18:15.3726160Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:18:15.3727074Z collecting ... collected 1750 items / 432 deselected / 1318 selected 2025-12-04T10:18:15.3728353Z stepcurrent: skipping 325 already run items. Running only test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3729518Z Running 1 items in this shard 2025-12-04T10:18:15.3729739Z 2025-12-04T10:18:15.3730731Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [2.8328s] [100%] 2025-12-04T10:18:15.3732922Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.2373s] [100%] 2025-12-04T10:18:15.3734944Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py FAILED [0.2326s] [100%] 2025-12-04T10:18:15.3735972Z 2025-12-04T10:18:15.3736114Z ==================================== RERUNS ==================================== 2025-12-04T10:18:15.3736749Z _ DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda _ 2025-12-04T10:18:15.3737352Z Traceback (most recent call last): 2025-12-04T10:18:15.3738107Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T10:18:15.3738906Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T10:18:15.3739724Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 457, in common 2025-12-04T10:18:15.3740501Z return check_codegen( 2025-12-04T10:18:15.3741250Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 87, in check_codegen 2025-12-04T10:18:15.3742132Z code = run_and_get_triton_code(run, *example_inputs, **kwargs) 2025-12-04T10:18:15.3742998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T10:18:15.3743780Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T10:18:15.3744318Z AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3744657Z 2025-12-04T10:18:15.3744873Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3746056Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3747011Z 2025-12-04T10:18:15.3747353Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3747975Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3748461Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3748803Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3749270Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3749725Z graph_break [] 2025-12-04T10:18:15.3750102Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3751209Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3752174Z warnings.warn( 2025-12-04T10:18:15.3753070Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3754049Z warnings.warn( 2025-12-04T10:18:15.3754541Z _ DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda _ 2025-12-04T10:18:15.3755134Z Traceback (most recent call last): 2025-12-04T10:18:15.3755877Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T10:18:15.3756666Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T10:18:15.3757465Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 457, in common 2025-12-04T10:18:15.3758235Z return check_codegen( 2025-12-04T10:18:15.3758962Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 87, in check_codegen 2025-12-04T10:18:15.3759851Z code = run_and_get_triton_code(run, *example_inputs, **kwargs) 2025-12-04T10:18:15.3760709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T10:18:15.3761493Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T10:18:15.3761917Z AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3762244Z 2025-12-04T10:18:15.3762454Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3763619Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3764570Z 2025-12-04T10:18:15.3764845Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3765458Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3765933Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3766267Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3766714Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3767163Z graph_break [] 2025-12-04T10:18:15.3767532Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3768622Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3769581Z warnings.warn( 2025-12-04T10:18:15.3770461Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3771522Z warnings.warn( 2025-12-04T10:18:15.3771958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3772431Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3772859Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3773335Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3773654Z graph_break [] 2025-12-04T10:18:15.3774017Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3775163Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3776112Z warnings.warn( 2025-12-04T10:18:15.3776985Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3777941Z warnings.warn( 2025-12-04T10:18:15.3778244Z =================================== FAILURES =================================== 2025-12-04T10:18:15.3778855Z _ DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda _ 2025-12-04T10:18:15.3779436Z Traceback (most recent call last): 2025-12-04T10:18:15.3780179Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T10:18:15.3780962Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T10:18:15.3781766Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 457, in common 2025-12-04T10:18:15.3782525Z return check_codegen( 2025-12-04T10:18:15.3783254Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 87, in check_codegen 2025-12-04T10:18:15.3784122Z code = run_and_get_triton_code(run, *example_inputs, **kwargs) 2025-12-04T10:18:15.3784977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T10:18:15.3785750Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T10:18:15.3786181Z AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3786491Z 2025-12-04T10:18:15.3786699Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3787857Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3788813Z 2025-12-04T10:18:15.3789084Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3789706Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3790161Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3790480Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3790920Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3791362Z graph_break [] 2025-12-04T10:18:15.3791724Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3792817Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3793776Z warnings.warn( 2025-12-04T10:18:15.3794659Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3795614Z warnings.warn( 2025-12-04T10:18:15.3795975Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3796429Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3796855Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3797333Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3797652Z graph_break [] 2025-12-04T10:18:15.3798065Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3799150Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3800111Z warnings.warn( 2025-12-04T10:18:15.3800983Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3802073Z warnings.warn( 2025-12-04T10:18:15.3802441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3802905Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3803331Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3803798Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3804124Z graph_break [] 2025-12-04T10:18:15.3804666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3805756Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3806715Z warnings.warn( 2025-12-04T10:18:15.3807586Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3808544Z warnings.warn( 2025-12-04T10:18:15.3809699Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-5928f38fa2963deb.xml - 2025-12-04T10:18:15.3811089Z =========================== short test summary info ============================ 2025-12-04T10:18:15.3812340Z FAILED [0.2326s] inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3813416Z 2025-12-04T10:18:15.3813629Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3814788Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3815743Z 2025-12-04T10:18:15.3816018Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3816595Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T10:18:15.3817099Z ================== 1 failed, 432 deselected, 2 rerun in 3.43s ================== 2025-12-04T10:18:15.3817528Z Got exit code 1 2025-12-04T10:18:15.3817788Z Retrying single test... 2025-12-04T10:18:15.3818401Z W1204 10:16:07.555000 33944 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:18:15.3819809Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-f580987b11891134.xml 2025-12-04T10:18:15.3820928Z ============================= test session starts ============================== 2025-12-04T10:18:15.3821584Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:18:15.3822172Z cachedir: .pytest_cache 2025-12-04T10:18:15.3822872Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:18:15.3823644Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:18:15.3823975Z configfile: pytest.ini 2025-12-04T10:18:15.3824695Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:18:15.3825601Z collecting ... collected 1750 items / 432 deselected / 1318 selected 2025-12-04T10:18:15.3826991Z stepcurrent: skipping 325 already run items. Running only test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3828142Z Running 1 items in this shard 2025-12-04T10:18:15.3828358Z 2025-12-04T10:18:15.3829351Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [2.8416s] [100%] 2025-12-04T10:18:15.3831526Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.2369s] [100%] 2025-12-04T10:18:15.3833530Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py FAILED [0.2324s] [100%] 2025-12-04T10:18:15.3834559Z 2025-12-04T10:18:15.3834708Z ==================================== RERUNS ==================================== 2025-12-04T10:18:15.3835315Z _ DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda _ 2025-12-04T10:18:15.3835908Z Traceback (most recent call last): 2025-12-04T10:18:15.3836656Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T10:18:15.3837458Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T10:18:15.3838250Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 457, in common 2025-12-04T10:18:15.3839009Z return check_codegen( 2025-12-04T10:18:15.3839745Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 87, in check_codegen 2025-12-04T10:18:15.3840614Z code = run_and_get_triton_code(run, *example_inputs, **kwargs) 2025-12-04T10:18:15.3841470Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T10:18:15.3842240Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T10:18:15.3842678Z AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3842996Z 2025-12-04T10:18:15.3843206Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3844374Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3845324Z 2025-12-04T10:18:15.3845590Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3846205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3846663Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3846989Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3847441Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3847879Z graph_break [] 2025-12-04T10:18:15.3848245Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3849340Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3850327Z warnings.warn( 2025-12-04T10:18:15.3851288Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3852265Z warnings.warn( 2025-12-04T10:18:15.3852771Z _ DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda _ 2025-12-04T10:18:15.3853364Z Traceback (most recent call last): 2025-12-04T10:18:15.3854117Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T10:18:15.3855009Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T10:18:15.3855819Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 457, in common 2025-12-04T10:18:15.3856581Z return check_codegen( 2025-12-04T10:18:15.3857323Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 87, in check_codegen 2025-12-04T10:18:15.3858279Z code = run_and_get_triton_code(run, *example_inputs, **kwargs) 2025-12-04T10:18:15.3859131Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T10:18:15.3859919Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T10:18:15.3860365Z AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3860684Z 2025-12-04T10:18:15.3860912Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3862083Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3863056Z 2025-12-04T10:18:15.3863323Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3863953Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3864439Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3864772Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3865235Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3865700Z graph_break [] 2025-12-04T10:18:15.3866057Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3867159Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3868136Z warnings.warn( 2025-12-04T10:18:15.3869039Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3870000Z warnings.warn( 2025-12-04T10:18:15.3870382Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3870859Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3871287Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3871778Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3872121Z graph_break [] 2025-12-04T10:18:15.3872494Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3873576Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3874550Z warnings.warn( 2025-12-04T10:18:15.3875443Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3876400Z warnings.warn( 2025-12-04T10:18:15.3876708Z =================================== FAILURES =================================== 2025-12-04T10:18:15.3877339Z _ DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda _ 2025-12-04T10:18:15.3877939Z Traceback (most recent call last): 2025-12-04T10:18:15.3878684Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T10:18:15.3879492Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T10:18:15.3880303Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 457, in common 2025-12-04T10:18:15.3881061Z return check_codegen( 2025-12-04T10:18:15.3881808Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor_codegen_dynamic_shapes.py", line 87, in check_codegen 2025-12-04T10:18:15.3882769Z code = run_and_get_triton_code(run, *example_inputs, **kwargs) 2025-12-04T10:18:15.3883641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T10:18:15.3884412Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T10:18:15.3884858Z AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3885239Z 2025-12-04T10:18:15.3885465Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3886640Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3887597Z 2025-12-04T10:18:15.3887863Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3888491Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3888981Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3889308Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3889771Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3890238Z graph_break [] 2025-12-04T10:18:15.3890609Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3891777Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3892760Z warnings.warn( 2025-12-04T10:18:15.3893659Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3894631Z warnings.warn( 2025-12-04T10:18:15.3894990Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3895462Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3895901Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3896376Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3896713Z graph_break [] 2025-12-04T10:18:15.3897076Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3898151Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3899124Z warnings.warn( 2025-12-04T10:18:15.3900015Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3900975Z warnings.warn( 2025-12-04T10:18:15.3901334Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T10:18:15.3901804Z stats [('calls_captured', 4)] 2025-12-04T10:18:15.3902241Z aot_autograd [('total', 2), ('autograd_cache_miss', 2), ('not_ok', 2)] 2025-12-04T10:18:15.3902711Z inductor [('fxgraph_cache_miss', 2)] 2025-12-04T10:18:15.3903041Z graph_break [] 2025-12-04T10:18:15.3903402Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T10:18:15.3904622Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3905595Z warnings.warn( 2025-12-04T10:18:15.3906483Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T10:18:15.3907444Z warnings.warn( 2025-12-04T10:18:15.3908596Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-f580987b11891134.xml - 2025-12-04T10:18:15.3910021Z =========================== short test summary info ============================ 2025-12-04T10:18:15.3911283Z FAILED [0.2324s] inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T10:18:15.3912462Z 2025-12-04T10:18:15.3912691Z To execute this test, run the following from the base repo dir: 2025-12-04T10:18:15.3913951Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_torchinductor_codegen_dynamic_shapes.py DynamicShapesCodegenGPUTests.test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3914908Z 2025-12-04T10:18:15.3915172Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T10:18:15.3915755Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T10:18:15.3916273Z ================== 1 failed, 432 deselected, 2 rerun in 3.43s ================== 2025-12-04T10:18:15.3916714Z Got exit code 1 2025-12-04T10:18:15.3917605Z FAILED CONSISTENTLY: test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda 2025-12-04T10:18:15.3918884Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T10:18:15.3919883Z W1204 10:16:26.524000 34120 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T10:18:15.3921294Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-aaae4ab3f1f2c805.xml 2025-12-04T10:18:15.3922409Z ============================= test session starts ============================== 2025-12-04T10:18:15.3923069Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T10:18:15.3923672Z cachedir: .pytest_cache 2025-12-04T10:18:15.3924374Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T10:18:15.3925153Z rootdir: /var/lib/jenkins/workspace 2025-12-04T10:18:15.3925499Z configfile: pytest.ini 2025-12-04T10:18:15.3926223Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T10:18:15.3927120Z collecting ... collected 1750 items / 326 deselected / 1424 selected 2025-12-04T10:18:15.3927637Z stepcurrent: skipping 326 already run items. 2025-12-04T10:18:15.3928022Z Running 107 items in this shard 2025-12-04T10:18:15.3928229Z 2025-12-04T10:18:15.3929223Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_kwargs_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0040s] (histogramdd only supports cpu) [ 0%] 2025-12-04T10:18:15.3931324Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_large_offset_pointwise_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.4422s] [ 1%] 2025-12-04T10:18:15.3933203Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_leaky_relu_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7060s] [ 2%] 2025-12-04T10:18:15.3935055Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_like_channels_last_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.0658s] [ 3%] 2025-12-04T10:18:15.3936910Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_like_rands3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.3401s] [ 4%] 2025-12-04T10:18:15.3938748Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_like_rands_sliced_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.5127s] [ 5%] 2025-12-04T10:18:15.3940740Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_linalg_eig_stride_consistency_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.1497s] [ 6%] 2025-12-04T10:18:15.3943048Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_linear_dynamic_maxautotune_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipping triton backend only since not big GPU (not enough SM)) [ 7%] 2025-12-04T10:18:15.3945360Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_linspace1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5278s] [ 8%] 2025-12-04T10:18:15.3947345Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_linspace4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (requires multiple cuda devices) [ 9%] 2025-12-04T10:18:15.3949373Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_lite_mode_fallback_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1347s] [ 10%] 2025-12-04T10:18:15.3951274Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_lite_mode_not_decompose_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5755s] [ 11%] 2025-12-04T10:18:15.3953126Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_log_fp64_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6870s] [ 12%] 2025-12-04T10:18:15.3954931Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_log_softmax_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.4654s] [ 13%] 2025-12-04T10:18:15.3956746Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_logsumexp_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2538s] [ 14%] 2025-12-04T10:18:15.3958673Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_masked_fill_promotion_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 14%] 2025-12-04T10:18:15.3960596Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.6437s] [ 15%] 2025-12-04T10:18:15.3962416Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d7_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.1884s] [ 16%] 2025-12-04T10:18:15.3964235Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d8_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.2044s] [ 17%] 2025-12-04T10:18:15.3966153Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d_with_indices_backward2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.2541s] [ 18%] 2025-12-04T10:18:15.3968176Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_max_pool2d_with_indices_backward5_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.6307s] [ 19%] 2025-12-04T10:18:15.3970117Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_min_max_reduction_nan_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5878s] [ 20%] 2025-12-04T10:18:15.3972133Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_misaligned_address_issue1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5294s] [ 21%] 2025-12-04T10:18:15.3974098Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_mixed_mm2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (Requires sm80) [ 22%] 2025-12-04T10:18:15.3976112Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_mixed_mm_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0029s] (Requires sm80) [ 23%] 2025-12-04T10:18:15.3977995Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_move_arange_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5053s] [ 24%] 2025-12-04T10:18:15.3979855Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_multilayer_prime_size_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7162s] [ 25%] 2025-12-04T10:18:15.3981911Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1340s] [ 26%] 2025-12-04T10:18:15.3983977Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_nan_sort_stable_True_descending_False_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1261s] [ 27%] 2025-12-04T10:18:15.3985900Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_narrow_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4768s] [ 28%] 2025-12-04T10:18:15.3987677Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_neg_index_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.4343s] [ 28%] 2025-12-04T10:18:15.3989445Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_new_ones_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1626s] [ 29%] 2025-12-04T10:18:15.3991260Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_no_op_reduction_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2066s] [ 30%] 2025-12-04T10:18:15.3993184Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_nonzero_unbacked_refinement_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9928s] [ 31%] 2025-12-04T10:18:15.3995072Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pad_view_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [3.8017s] [ 32%] 2025-12-04T10:18:15.3996941Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pattern_matcher_unbacked_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6475s] [ 33%] 2025-12-04T10:18:15.3998825Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_philox_rand_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.8318s] [ 34%] 2025-12-04T10:18:15.4000670Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_bessel_y1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4301s] [ 35%] 2025-12-04T10:18:15.4002634Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.1411s] [ 36%] 2025-12-04T10:18:15.4004741Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_digamma_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.5492s] [ 37%] 2025-12-04T10:18:15.4006607Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_entr_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3683s] [ 38%] 2025-12-04T10:18:15.4008545Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.2824s] [ 39%] 2025-12-04T10:18:15.4010554Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_i0e_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.3397s] [ 40%] 2025-12-04T10:18:15.4012560Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_legendre_polynomial_p_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.2756s] [ 41%] 2025-12-04T10:18:15.4014561Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_modified_bessel_i0_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2453s] [ 42%] 2025-12-04T10:18:15.4016573Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_ndtr_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2888s] [ 42%] 2025-12-04T10:18:15.4018419Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_ndtri_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.4408s] [ 43%] 2025-12-04T10:18:15.4020282Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_polygamma_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.5875s] [ 44%] 2025-12-04T10:18:15.4022255Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_pointwise_scaled_modified_bessel_k1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.1325s] [ 45%] 2025-12-04T10:18:15.4024323Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_profiler_mark_wrapper_call_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 46%] 2025-12-04T10:18:15.4026337Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_randint_distribution_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5683s] [ 47%] 2025-12-04T10:18:15.4028199Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_randint_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6163s] [ 48%] 2025-12-04T10:18:15.4030015Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_randint_int64_mod_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3089s] [ 49%] 2025-12-04T10:18:15.4031899Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_randint_kernel_count_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5815s] [ 50%] 2025-12-04T10:18:15.4033766Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_reduction4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5402s] [ 51%] 2025-12-04T10:18:15.4035585Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_reduction5_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2933s] [ 52%] 2025-12-04T10:18:15.4037405Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_remainder_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3430s] [ 53%] 2025-12-04T10:18:15.4039235Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_remove_noop_clone_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4645s] [ 54%] 2025-12-04T10:18:15.4041099Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_remove_noop_slice_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3419s] [ 55%] 2025-12-04T10:18:15.4043098Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3999s] [ 56%] 2025-12-04T10:18:15.4045109Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_rsqrt_dynamic_shapes_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2193s] [ 57%] 2025-12-04T10:18:15.4047337Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scaled_dot_product_attention_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (Can't run flash attention on this platform) [ 57%] 2025-12-04T10:18:15.4049441Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2750s] [ 58%] 2025-12-04T10:18:15.4051371Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter4_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6010s] [ 59%] 2025-12-04T10:18:15.4053375Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter_bf16_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (uses bfloat16 which requires SM >= 80) [ 60%] 2025-12-04T10:18:15.4055420Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter_reduce2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4891s] [ 61%] 2025-12-04T10:18:15.4057278Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_scatter_reduce3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6156s] [ 62%] 2025-12-04T10:18:15.4059478Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Does not support SDPA or pre-SM80 hardware) [ 63%] 2025-12-04T10:18:15.4061741Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_searchsorted_broadcast_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5896s] [ 64%] 2025-12-04T10:18:15.4063618Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sigmoid_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2694s] [ 65%] 2025-12-04T10:18:15.4065397Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_signbit_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4266s] [ 66%] 2025-12-04T10:18:15.4067212Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_simplify_loops_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.8047s] [ 67%] 2025-12-04T10:18:15.4069021Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_slice1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.8555s] [ 68%] 2025-12-04T10:18:15.4070824Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_slice_scatter5_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3173s] [ 69%] 2025-12-04T10:18:15.4072767Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_slice_scatter_dtype_consistency_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2991s] [ 70%] 2025-12-04T10:18:15.4074755Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_slice_view_with_graph_break_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3872s] [ 71%] 2025-12-04T10:18:15.4076696Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_softmax_one_kernel_loop_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5119s] [ 71%] 2025-12-04T10:18:15.4078604Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_special_polygamma_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.1060s] [ 72%] 2025-12-04T10:18:15.4080719Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_split_reduction_with_int64_size_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.3256s] (Insufficient cuda memory) [ 73%] 2025-12-04T10:18:15.4082779Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_split_with_list_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.8384s] [ 74%] 2025-12-04T10:18:15.4084631Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_squeeze_varargs_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2433s] [ 75%] 2025-12-04T10:18:15.4086514Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_stack_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3311s] [ 76%] 2025-12-04T10:18:15.4088258Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_std_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.9244s] [ 77%] 2025-12-04T10:18:15.4090210Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2577s] [ 78%] 2025-12-04T10:18:15.4092252Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sum2_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9643s] [ 79%] 2025-12-04T10:18:15.4094026Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sum_dtype_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.6943s] [ 80%] 2025-12-04T10:18:15.4095807Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_sum_int_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7225s] [ 81%] 2025-12-04T10:18:15.4097554Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_tan_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4716s] [ 82%] 2025-12-04T10:18:15.4099307Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_tensor1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.1929s] [ 83%] 2025-12-04T10:18:15.4101083Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_tensor3_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2630s] [ 84%] 2025-12-04T10:18:15.4102916Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_to_device_constant_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.2259s] [ 85%] 2025-12-04T10:18:15.4105043Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_transposed_propagates_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipped!) [ 85%] 2025-12-04T10:18:15.4107063Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_unbacked_floordiv_simplify_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4165s] [ 86%] 2025-12-04T10:18:15.4109022Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_unsigned_constant_tensors_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.7870s] [ 87%] 2025-12-04T10:18:15.4110956Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_unspec_inputs_int32_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5641s] [ 88%] 2025-12-04T10:18:15.4112875Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_upsample_bilinear2d_b_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.8597s] [ 89%] 2025-12-04T10:18:15.4114798Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_upsample_nearest1d_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.2554s] [ 90%] 2025-12-04T10:18:15.4116844Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_upsample_nearest2d_backward_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.4938s] [ 91%] 2025-12-04T10:18:15.4118794Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_upsample_nearest3d_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [2.6708s] [ 92%] 2025-12-04T10:18:15.4120662Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_var_mean_div_by_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.5280s] [ 93%] 2025-12-04T10:18:15.4122633Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_var_mean_tile_reduction_True_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.9725s] [ 94%] 2025-12-04T10:18:15.4124511Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_vdd_clamp_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.3469s] [ 95%] 2025-12-04T10:18:15.4126304Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_views1_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [26.8972s] [ 96%] 2025-12-04T10:18:15.4128071Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_views6_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [0.4935s] [ 97%] 2025-12-04T10:18:15.4129903Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_weight_norm_conv2d_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [4.0899s] [ 98%] 2025-12-04T10:18:15.4131857Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_where_broadcast_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [1.1483s] [ 99%] 2025-12-04T10:18:15.4133734Z inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_zero_element_mutation_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py XFAIL [0.1383s] [100%] 2025-12-04T10:18:15.4134747Z 2025-12-04T10:18:15.4135769Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-aaae4ab3f1f2c805.xml - 2025-12-04T10:18:15.4137158Z ==== 82 passed, 12 skipped, 326 deselected, 13 xfailed in 103.67s (0:01:43) ==== 2025-12-04T10:18:15.4138403Z The following tests failed consistently: ['test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenGPUTests::test_int8_weight_only_quant_dynamic_shapes_cuda'] 2025-12-04T10:18:15.4139391Z 2025-12-04T10:18:15.4140200Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_codegen_dynamic_shapes 1/4 (test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.4_dc1bcbffc016889a_.log) 2025-12-04T10:18:15.4141135Z 2025-12-04T10:18:15.4141627Z Finished inductor/test_torchinductor_codegen_dynamic_shapes 1/4 ... [2025-12-04 10:18:15.236205][2730.985745736], took 9.48min 2025-12-04T10:18:15.4143338Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-55e7aea715e7b8ff.xml 2025-12-04T10:18:15.4145573Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-5928f38fa2963deb.xml 2025-12-04T10:18:15.4147813Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-f580987b11891134.xml 2025-12-04T10:18:15.4150061Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_codegen_dynamic_shapes/inductor.test_torchinductor_codegen_dynamic_shapes-aaae4ab3f1f2c805.xml 2025-12-04T10:18:15.6180382Z Uploading logs for 57119749297 to S3 2025-12-04T10:18:15.6848419Z Uploading artifacts took 0.26 seconds 2025-12-04T10:18:15.6848951Z inductor/test_torchinductor_codegen_dynamic_shapes 1/4 failed! 2025-12-04T10:18:15.6854030Z Running inductor/test_torchinductor_opinfo 1/17 ... [2025-12-04 10:18:15.685229][2731.434774908] 2025-12-04T10:18:15.6857052Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:18:15.6858374Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '--shard-id=1', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:18:15.685568] 2025-12-04T10:27:10.4358805Z 2025-12-04T10:27:10.4360040Z inductor/test_torchinductor_opinfo 1/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_1.17_98ab2e627f29baea_.log 2025-12-04T10:27:10.4484087Z Running 201 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_T_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rdiv___cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rsub___cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__chunk_cat_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__segment_reduce_lengths_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__upsample_bilinear2d_aa_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__upsample_bilinear2d_aa_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_add_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_addmm_decomposed_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_alias_copy_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_alias_copy_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_aminmax_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_aminmax_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_argsort_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_argwhere_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_copy_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_partial_views_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_scatter_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_scatter_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_asinh_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_asinh_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atleast_1d_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atleast_3d_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bitwise_not_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bitwise_xor_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bool_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bool_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bool_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_broadcast_to_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_broadcast_to_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_byte_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_byte_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cauchy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ceil_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cfloat_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cholesky_solve_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_conj_physical_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_corrcoef_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_count_nonzero_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cumprod_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_deg2rad_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_div_floor_rounding_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_div_no_rounding_mode_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_div_no_rounding_mode_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_div_no_rounding_mode_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_dot_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_double_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_einsum_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_like_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_eq_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_eq_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_erfc_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_erfinv_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_exp2_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftn_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_hfftn_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_hfftn_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_ifft2_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_ifftn_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_ihfft2_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_ihfftn_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_ihfftn_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_rfft2_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_rfft_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_flip_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_flip_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fliplr_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fmax_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_frac_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_frac_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_gather_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_gradient_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_gt_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_hsplit_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_hstack_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_hypot_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_add_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_add_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_reduce_amax_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_reduce_amax_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_reduce_amin_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_select_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_int_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_int_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isin_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isin_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isinf_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isinf_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isneginf_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_item_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_binary_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_le_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_cholesky_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_cond_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_eig_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_solve_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_solve_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linspace_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linspace_tensor_overload_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_log1p_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_log2_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_log_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logical_and_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logical_xor_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logspace_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_lt_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mH_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mT_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_amax_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_fill_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_norm_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_sum_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_var_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_var_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_max_pool2d_with_indices_backward_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mean_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_min_reduction_with_dim_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nanmean_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nanmedian_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nansum_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_narrow_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_native_layer_norm_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ne_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ne_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_neg_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_new_empty_strided_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_new_empty_strided_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_alpha_dropout_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_bilinear_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_cross_entropy_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_dropout3d_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_fractional_max_pool3d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_grid_sample_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_hardsigmoid_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_instance_norm_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_nearest_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_kl_div_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_layer_norm_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pad_replicate_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pad_replicate_negative_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pairwise_distance_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_relu6_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_relu6_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_selu_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_soft_margin_loss_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_softmin_with_dtype_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_tanhshrink_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_unfold_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nonzero_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nonzero_static_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_normal_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ones_like_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ones_like_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_permute_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_0_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_1_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_positive_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_prod_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_randint_like_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_real_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_reciprocal_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_remainder_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_roll_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_round_decimals_3_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_round_decimals_3_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsqrt_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scalar_tensor_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_amax_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_searchsorted_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_searchsorted_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_select_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sgn_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sin_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_slice_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sparse_mm_reduce_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_chebyshev_polynomial_t_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_entr_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_erfcx_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_i1e_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_laguerre_polynomial_l_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_log_ndtr_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_modified_bessel_i0_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_modified_bessel_k1_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_squeeze_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_std_mean_unbiased_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_take_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_to_sparse_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_transpose_copy_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_true_divide_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_trunc_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unfold_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_uniform_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unsqueeze_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_var_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_vstack_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_vstack_cuda_int32 2025-12-04T10:27:10.4601323Z 2025-12-04T10:27:10.4601750Z Finished inductor/test_torchinductor_opinfo 1/17 ... [2025-12-04 10:27:10.436230][3266.185774415], took 8.91min 2025-12-04T10:27:10.4603227Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-6aedb185cb9b5dee.xml 2025-12-04T10:27:10.5186065Z Running inductor/test_torchinductor_opinfo 6/17 ... [2025-12-04 10:27:10.518380][3266.267926575] 2025-12-04T10:27:10.5186692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:27:10.5189843Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '--shard-id=6', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:27:10.518736] 2025-12-04T10:39:27.6391751Z 2025-12-04T10:39:27.6395971Z inductor/test_torchinductor_opinfo 6/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_6.17_720801c47c5a6f8b_.log 2025-12-04T10:39:27.6522454Z Running 212 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_T_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rand___cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rmul___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rmul___cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rsub___cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__chunk_cat_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__softmax_backward_data_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_addcdiv_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_addmv_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_addr_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_allclose_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_amin_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_any_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_any_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atan_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atanh_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atanh_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atleast_2d_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bitwise_and_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bitwise_not_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bitwise_not_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_broadcast_shapes_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cat_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_chalf_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_char_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cholesky_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cholesky_solve_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_clamp_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_clamp_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_clamp_max_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_column_stack_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_combinations_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_copysign_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_copysign_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cov_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cummin_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cumsum_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cumulative_trapezoid_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_deg2rad_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diag_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_scatter_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_div_no_rounding_mode_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_double_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_dstack_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_eq_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_erf_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_erfc_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_erfinv_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_exp2_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_expand_as_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_expand_as_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_expand_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_eye_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fft2_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_hfft2_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_hfft_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_hfft_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_rfft_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_rfft_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_rfftn_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fill_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fill_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_flatten_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_flip_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fliplr_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_float_power_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fmax_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fmod_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fmod_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fmod_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_full_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_full_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_geometric_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_geqrf_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_hash_tensor_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_hsplit_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_copy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_put_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_reduce_amin_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isnan_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isnan_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isposinf_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_2inputs_2outputs_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_2inputs_2outputs_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_2inputs_2outputs_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_4inputs_with_extra_args_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_binary_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_binary_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lstsq_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vander_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_vector_norm_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linspace_tensor_overload_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linspace_tensor_overload_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_log1p_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_log1p_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logical_and_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logical_and_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logical_not_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logit_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logit_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logit_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logspace_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logspace_tensor_overload_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_lu_unpack_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_argmin_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_logaddexp_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_logsumexp_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_prod_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_std_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_median_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_min_reduction_no_dim_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_min_reduction_no_dim_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_minimum_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_minimum_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_movedim_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_multinomial_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mv_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mv_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mvlgamma_mvlgamma_p_3_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nansum_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_narrow_copy_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_narrow_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_narrow_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ne_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_new_empty_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_new_full_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_new_zeros_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_avg_pool1d_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_max_pool1d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_max_pool2d_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_avg_pool3d_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_channel_shuffle_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_conv2d_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_conv_transpose1d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_conv_transpose2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_dropout_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_glu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_hardshrink_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_hardtanh_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_margin_ranking_loss_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_max_unpool1d_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_max_unpool2d_grad_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_max_unpool3d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_multi_margin_loss_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pad_circular_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pad_replicate_negative_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pairwise_distance_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pairwise_distance_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_relu6_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_rrelu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_silu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_softmin_with_dtype_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_softplus_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_tanhshrink_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nonzero_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nonzero_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nonzero_static_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_norm_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_normal_number_mean_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_2_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_2_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_2_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_4_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_randint_like_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_repeat_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_repeat_interleave_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_resize__cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_resize__cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_resolve_conj_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsqrt_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_add_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_amin_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_mean_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_prod_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sgn_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_short_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sigmoid_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sin_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sinc_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sort_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sort_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sort_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_bessel_j0_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_hermite_polynomial_h_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_i1e_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_modified_bessel_k1_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_scaled_modified_bessel_k1_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_scaled_modified_bessel_k1_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_shifted_chebyshev_polynomial_t_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_zeta_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_split_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_split_with_sizes_copy_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_svd_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_t_copy_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_t_copy_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_t_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tensordot_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_to_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_transpose_copy_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_transpose_copy_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_transpose_copy_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_transpose_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unique_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unsafe_split_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unsqueeze_copy_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_var_unbiased_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_zeros_cuda_int32 2025-12-04T10:39:27.6647463Z 2025-12-04T10:39:27.6647887Z Finished inductor/test_torchinductor_opinfo 6/17 ... [2025-12-04 10:39:27.639246][4003.388790318], took 12.29min 2025-12-04T10:39:27.6649461Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-599538ffd47277aa.xml 2025-12-04T10:39:28.0470947Z Uploading artifacts took 0.33 seconds 2025-12-04T10:39:28.0475525Z Running inductor/test_torchinductor_opinfo 11/17 ... [2025-12-04 10:39:28.047381][4003.796927067] 2025-12-04T10:39:28.0476171Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:39:28.0479922Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '--shard-id=11', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:39:28.047767] 2025-12-04T10:51:31.8490139Z 2025-12-04T10:51:31.8491648Z inductor/test_torchinductor_opinfo 11/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_11.17_c0cc6a6b7b2c9e7d_.log 2025-12-04T10:51:31.8618683Z Running 221 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_T_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rand___cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rmatmul___cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rpow___cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rsub___cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__unsafe_masked_index_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__unsafe_masked_index_put_accumulate_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_add_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_addcmul_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_addcmul_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_amax_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_any_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_copy_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_partial_views_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_scatter_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atan2_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atan2_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atan_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atleast_2d_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bfloat16_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_block_diag_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bmm_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_broadcast_tensors_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_broadcast_to_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cauchy_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ceil_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cfloat_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_char_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_clone_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_conj_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_constant_pad_nd_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_contiguous_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cosh_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cosh_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cov_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cross_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cummin_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cumsum_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diag_embed_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_dist_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_einsum_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_expand_as_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_expm1_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_expm1_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_fftshift_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_hfft_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_hfftn_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_ifft_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_ihfft_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_flatten_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_flipud_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_flipud_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_float_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fmax_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_full_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_full_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_full_like_cuda_uint16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ge_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ge_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_gt_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_i0_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_copy_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_fill_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_put_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_reduce_amin_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_reduce_amin_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_reduce_prod_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_int_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isin_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isnan_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isneginf_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isneginf_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_2inputs_2outputs_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_unary_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_jiterator_unary_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_kron_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_lcm_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ldexp_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_le_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_lgamma_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_lgamma_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_cross_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_eigvals_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_lu_factor_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_svd_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linspace_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_log_softmax_with_dtype_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logaddexp_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logaddexp_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logdet_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logical_and_cuda_uint8, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_normalize_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_scatter_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_scatter_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_select_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_softmax_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_std_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_std_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_sum_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_max_binary_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_maximum_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_maximum_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_maximum_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_maximum_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_meshgrid_variadic_tensors_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_movedim_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_msort_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mul_cuda_float64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_adaptive_max_pool2d_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_avg_pool2d_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_channel_shuffle_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_conv1d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_cosine_embedding_loss_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_cosine_similarity_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_dropout2d_cuda_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_max_unpool3d_grad_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pad_circular_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pad_replicate_negative_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pairwise_distance_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pixel_shuffle_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pixel_unshuffle_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_poisson_nll_loss_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_prelu_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_relu_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_threshold_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nonzero_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nonzero_static_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_outer_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_permute_copy_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polar_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_0_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_1_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_3_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_4_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_4_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_prod_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_quantile_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rand_like_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_randint_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_randint_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_real_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_repeat_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_repeat_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_repeat_interleave_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_reshape_as_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_reshape_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_resize__cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_resolve_neg_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_roll_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rot90_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rot90_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsub_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_amax_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_amin_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_mean_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_sum_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_select_scatter_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sigmoid_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sign_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sinc_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_slice_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_slice_scatter_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_bessel_j1_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_bessel_j1_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_chebyshev_polynomial_t_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_hermite_polynomial_he_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_i1_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_i1e_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_modified_bessel_i0_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_polygamma_special_polygamma_n_0_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_spherical_bessel_j0_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_square_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stft_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sum_to_size_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_take_along_dim_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tan_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_to_sparse_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_trapezoid_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_trapezoid_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tril_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tril_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_triu_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_triu_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unbind_copy_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unfold_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unique_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unique_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unique_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unsafe_chunk_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_var_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_var_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_vstack_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_zero__cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_zeros_like_cuda_bool 2025-12-04T10:51:31.8744501Z 2025-12-04T10:51:31.8744919Z Finished inductor/test_torchinductor_opinfo 11/17 ... [2025-12-04 10:51:31.848993][4727.598535102], took 12.06min 2025-12-04T10:51:31.8746367Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-9a363acc77c04f4f.xml 2025-12-04T10:51:31.9295972Z Running inductor/test_torchinductor_opinfo 16/17 ... [2025-12-04 10:51:31.929374][4727.678920455] 2025-12-04T10:51:31.9296607Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T10:51:31.9299788Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '--shard-id=16', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 10:51:31.929748] 2025-12-04T11:00:40.5826632Z 2025-12-04T11:00:40.5827994Z inductor/test_torchinductor_opinfo 16/17 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_opinfo_16.17_a8e2dc75cba65fee_.log 2025-12-04T11:00:40.5952914Z Running 217 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___radd___cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___rmod___cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive___ror___cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__chunk_cat_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__segment_reduce_offsets_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive__unsafe_masked_index_put_accumulate_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_abs_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_add_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_addmm_decomposed_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_amax_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_aminmax_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_aminmax_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_any_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_argmax_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_argmin_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_argmin_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_argwhere_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_copy_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_as_strided_scatter_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atan2_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atanh_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atleast_2d_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atleast_3d_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_atleast_3d_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_bitwise_left_shift_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_broadcast_tensors_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_byte_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cat_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cdouble_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cdouble_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_chalf_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_chalf_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_char_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cholesky_inverse_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_chunk_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_chunk_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_clamp_max_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_clamp_max_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_combinations_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_conj_physical_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cov_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cumprod_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_cumprod_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagflat_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_diagonal_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_div_floor_rounding_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_double_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_dsplit_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_like_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_empty_strided_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_eq_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_eq_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_equal_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_erfc_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_exp2_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_exp_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_expand_as_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_eye_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_ifft2_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_ihfft_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_irfft2_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_fft_rfft2_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_flatten_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_floor_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_gradient_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_half_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_put_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_reduce_mean_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_index_select_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_inner_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_int_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isfinite_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_isinf_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_lcm_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_lerp_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_eigh_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_ldl_solve_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_qr_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_linalg_solve_ex_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_log_normal_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logaddexp2_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_logcumsumexp_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_long_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_long_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_lt_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_lu_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mH_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mH_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mT_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_amin_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_amin_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_argmax_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_argmin_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_log_softmax_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_mean_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_norm_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_norm_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_scatter_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_masked_var_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_matmul_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_max_reduction_with_dim_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_meshgrid_list_of_tensors_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_meshgrid_variadic_tensors_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_min_binary_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_min_binary_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_min_reduction_with_dim_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_minimum_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mm_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_mode_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_msort_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nan_to_num_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nanmedian_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_new_empty_strided_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_new_full_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_new_ones_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_new_ones_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_cross_entropy_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_fractional_max_pool2d_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_hardswish_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_instance_norm_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_interpolate_area_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pad_replicate_negative_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pairwise_distance_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pdist_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pixel_unshuffle_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_pixel_unshuffle_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_relu_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_relu_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_softmin_with_dtype_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_softshrink_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_softsign_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_threshold_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_triplet_margin_loss_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_triplet_margin_loss_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_nonzero_static_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_normal_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_normal_in_place_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_ormqr_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_permute_copy_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_permute_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_pinverse_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_0_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_0_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_1_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_polygamma_polygamma_n_3_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rad2deg_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rad2deg_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_real_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_remainder_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_repeat_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_reshape_as_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_reshape_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_resize_as__cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_resolve_conj_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_resolve_conj_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_resolve_neg_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_roll_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_rsqrt_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scalar_tensor_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scalar_tensor_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_add_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_add_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_amax_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_scatter_reduce_amax_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_searchsorted_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_select_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_signal_windows_exponential_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_slice_scatter_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_bessel_j0_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_chebyshev_polynomial_v_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_i1e_cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_log_ndtr_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_polygamma_special_polygamma_n_0_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_scaled_modified_bessel_k0_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_special_xlog1py_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_split_with_sizes_copy_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_split_with_sizes_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_squeeze_multiple_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_stack_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_std_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_std_mean_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_std_unbiased_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sub_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sum_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sum_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sum_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sum_to_size_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_sum_to_size_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_t_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_take_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_take_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_take_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tan_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tan_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_to_sparse_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_to_sparse_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_trace_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_transpose_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_trapz_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tril_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_tril_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_triu_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_trunc_cuda_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_trunc_cuda_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_uniform_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unique_consecutive_cuda_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unique_cuda_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unique_cuda_uint64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unsqueeze_cuda_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_unsqueeze_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_vsplit_cuda_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_zero__cuda_uint8, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCUDA::test_comprehensive_zeros_like_cuda_int64 2025-12-04T11:00:40.6075370Z 2025-12-04T11:00:40.6075793Z Finished inductor/test_torchinductor_opinfo 16/17 ... [2025-12-04 11:00:40.582806][5276.332348774], took 9.14min 2025-12-04T11:00:40.6077226Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-8a7bfd6021d53bc2.xml 2025-12-04T11:00:40.9868000Z Uploading artifacts took 0.32 seconds 2025-12-04T11:00:40.9872573Z Running inductor/test_cuda_select_algorithm 2/5 ... [2025-12-04 11:00:40.987072][5276.736617928] 2025-12-04T11:00:40.9873208Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:00:40.9876531Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cuda_select_algorithm.py', '--shard-id=2', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:00:40.987419] 2025-12-04T11:16:33.1983514Z 2025-12-04T11:16:33.1984543Z PRINTING LOG FILE of inductor/test_cuda_select_algorithm 2/5 (test/test-reports/inductor.test_cuda_select_algorithm_2.5_2c368413b6bbbfd2_.log) 2025-12-04T11:16:33.1986305Z W1204 11:00:49.744000 90267 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.1988345Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-336f7cf1aba20322.xml 2025-12-04T11:16:33.1989853Z ============================= test session starts ============================== 2025-12-04T11:16:33.1991323Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.1992259Z cachedir: .pytest_cache 2025-12-04T11:16:33.1993481Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.1994621Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.1995064Z configfile: pytest.ini 2025-12-04T11:16:33.1996475Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.1997751Z collecting ... collected 58 items 2025-12-04T11:16:33.1998437Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T11:16:33.2014075Z Running 11 items in this shard: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16, test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2029406Z 2025-12-04T11:16:33.2030803Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [4.0379s] [ 9%] 2025-12-04T11:16:33.2033835Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.7527s] [ 9%] 2025-12-04T11:16:33.2036759Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 FAILED [0.7416s] [ 9%] 2025-12-04T11:16:33.2038282Z 2025-12-04T11:16:33.2038512Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.2039773Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.2040903Z Traceback (most recent call last): 2025-12-04T11:16:33.2042081Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 204, in test_int8_woq_mm_concat_cuda 2025-12-04T11:16:33.2043573Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 3) 2025-12-04T11:16:33.2045220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2046516Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2076779Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2078275Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2079019Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2079681Z 2025-12-04T11:16:33.2079843Z Expected 3 but got 6. 2025-12-04T11:16:33.2080284Z Absolute difference: 3 2025-12-04T11:16:33.2080722Z Relative difference: 1.0 2025-12-04T11:16:33.2081011Z 2025-12-04T11:16:33.2081340Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2083393Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2085127Z 2025-12-04T11:16:33.2085481Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2086456Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2087215Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2088390Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2089304Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2089785Z graph_break [] 2025-12-04T11:16:33.2090151Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2091384Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2092382Z warnings.warn( 2025-12-04T11:16:33.2093277Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2094259Z warnings.warn( 2025-12-04T11:16:33.2094972Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.2095779Z Traceback (most recent call last): 2025-12-04T11:16:33.2096563Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 204, in test_int8_woq_mm_concat_cuda 2025-12-04T11:16:33.2097483Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 3) 2025-12-04T11:16:33.2098319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2099097Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2099927Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2100827Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2101391Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2101647Z 2025-12-04T11:16:33.2101756Z Expected 3 but got 6. 2025-12-04T11:16:33.2102050Z Absolute difference: 3 2025-12-04T11:16:33.2102350Z Relative difference: 1.0 2025-12-04T11:16:33.2102542Z 2025-12-04T11:16:33.2102775Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2104075Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2105330Z 2025-12-04T11:16:33.2105604Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2106246Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2106736Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2107652Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2108568Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2109049Z graph_break [] 2025-12-04T11:16:33.2109414Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2110609Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2111594Z warnings.warn( 2025-12-04T11:16:33.2112491Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2113452Z warnings.warn( 2025-12-04T11:16:33.2113840Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2114325Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2114762Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2115671Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2116445Z graph_break [] 2025-12-04T11:16:33.2116827Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2117909Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2118884Z warnings.warn( 2025-12-04T11:16:33.2119782Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2120757Z warnings.warn( 2025-12-04T11:16:33.2121061Z =================================== FAILURES =================================== 2025-12-04T11:16:33.2121901Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.2122713Z Traceback (most recent call last): 2025-12-04T11:16:33.2123485Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 204, in test_int8_woq_mm_concat_cuda 2025-12-04T11:16:33.2124405Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 3) 2025-12-04T11:16:33.2125245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2126026Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2126859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2127751Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2128241Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2128491Z 2025-12-04T11:16:33.2128610Z Expected 3 but got 6. 2025-12-04T11:16:33.2128887Z Absolute difference: 3 2025-12-04T11:16:33.2129184Z Relative difference: 1.0 2025-12-04T11:16:33.2129373Z 2025-12-04T11:16:33.2129604Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2130893Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2132090Z 2025-12-04T11:16:33.2132362Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2133003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2133493Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2134323Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2135237Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2135715Z graph_break [] 2025-12-04T11:16:33.2136080Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2137361Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2138432Z warnings.warn( 2025-12-04T11:16:33.2139340Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2140302Z warnings.warn( 2025-12-04T11:16:33.2140686Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2141175Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2141629Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2142524Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2143299Z graph_break [] 2025-12-04T11:16:33.2143675Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2144768Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2145747Z warnings.warn( 2025-12-04T11:16:33.2146642Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2147620Z warnings.warn( 2025-12-04T11:16:33.2147989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2148474Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2148922Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2149809Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2150581Z graph_break [] 2025-12-04T11:16:33.2150956Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2152065Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2153030Z warnings.warn( 2025-12-04T11:16:33.2153928Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2154902Z warnings.warn( 2025-12-04T11:16:33.2155915Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-336f7cf1aba20322.xml - 2025-12-04T11:16:33.2157068Z =========================== short test summary info ============================ 2025-12-04T11:16:33.2158380Z FAILED [0.7416s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2159515Z 2025-12-04T11:16:33.2159624Z Expected 3 but got 6. 2025-12-04T11:16:33.2159921Z Absolute difference: 3 2025-12-04T11:16:33.2160207Z Relative difference: 1.0 2025-12-04T11:16:33.2160409Z 2025-12-04T11:16:33.2160627Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2161995Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2163073Z 2025-12-04T11:16:33.2163351Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2163932Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.2164424Z ========================== 1 failed, 2 rerun in 5.56s ========================== 2025-12-04T11:16:33.2164893Z Got exit code 1 2025-12-04T11:16:33.2165161Z Retrying single test... 2025-12-04T11:16:33.2165795Z W1204 11:01:08.615000 90437 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.2167052Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-b967beb25f0116ef.xml 2025-12-04T11:16:33.2168029Z ============================= test session starts ============================== 2025-12-04T11:16:33.2168694Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.2169302Z cachedir: .pytest_cache 2025-12-04T11:16:33.2170016Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.2170808Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.2171257Z configfile: pytest.ini 2025-12-04T11:16:33.2171998Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.2172913Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.2174291Z stepcurrent: skipping 0 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2175571Z Running 1 items in this shard 2025-12-04T11:16:33.2175792Z 2025-12-04T11:16:33.2177112Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:01:12.856807247 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2178564Z 2025-12-04T11:16:33.2179086Z [W1204 11:01:27.921145327 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2179749Z 2025-12-04T11:16:33.2180277Z [W1204 11:01:27.921400460 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2180931Z 2025-12-04T11:16:33.2181458Z [W1204 11:01:27.922008926 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2182107Z 2025-12-04T11:16:33.2182624Z [W1204 11:01:27.922224327 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2183288Z 2025-12-04T11:16:33.2183803Z [W1204 11:01:27.924011629 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2184465Z 2025-12-04T11:16:33.2184977Z [W1204 11:01:27.924188333 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2185635Z 2025-12-04T11:16:33.2186161Z [W1204 11:01:27.924493095 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2186812Z 2025-12-04T11:16:33.2187337Z [W1204 11:01:27.924658765 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2187987Z 2025-12-04T11:16:33.2188569Z [W1204 11:01:27.935016307 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2189235Z 2025-12-04T11:16:33.2189748Z [W1204 11:01:27.935236003 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2190414Z 2025-12-04T11:16:33.2190924Z [W1204 11:01:27.935421327 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2191630Z 2025-12-04T11:16:33.2192155Z [W1204 11:01:27.935693068 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2192807Z 2025-12-04T11:16:33.2193337Z [W1204 11:01:27.935858293 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2193986Z 2025-12-04T11:16:33.2194498Z [W1204 11:01:27.936143172 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2195170Z 2025-12-04T11:16:33.2195685Z [W1204 11:01:27.936318307 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2196348Z 2025-12-04T11:16:33.2196860Z [W1204 11:01:27.936592903 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2197519Z 2025-12-04T11:16:33.2198044Z [W1204 11:01:27.936760223 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2198696Z 2025-12-04T11:16:33.2199219Z [W1204 11:01:27.053077570 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2199873Z 2025-12-04T11:16:33.2200390Z [W1204 11:01:27.053347866 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2201053Z 2025-12-04T11:16:33.2201569Z [W1204 11:01:27.053526837 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2202235Z 2025-12-04T11:16:33.2202747Z [W1204 11:01:27.053791612 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2203413Z 2025-12-04T11:16:33.2203931Z [W1204 11:01:27.053961582 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2204754Z 2025-12-04T11:16:33.2205281Z [W1204 11:01:27.054242944 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2205930Z 2025-12-04T11:16:33.2206459Z [W1204 11:01:27.054406917 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2207113Z 2025-12-04T11:16:33.2207633Z [W1204 11:01:27.054685527 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2208295Z 2025-12-04T11:16:33.2208809Z [W1204 11:01:27.054849968 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2209474Z 2025-12-04T11:16:33.2209991Z [W1204 11:01:29.064505287 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2210644Z 2025-12-04T11:16:33.2211233Z [W1204 11:01:29.065660899 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2211884Z 2025-12-04T11:16:33.2212410Z [W1204 11:01:29.065856684 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2213068Z 2025-12-04T11:16:33.2213712Z [W1204 11:01:29.066139556 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2214377Z 2025-12-04T11:16:33.2214891Z [W1204 11:01:29.066317194 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2215558Z 2025-12-04T11:16:33.2216071Z [W1204 11:01:29.066606034 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2216803Z 2025-12-04T11:16:33.2217334Z [W1204 11:01:29.066791931 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2217989Z 2025-12-04T11:16:33.2218521Z [W1204 11:01:29.067076162 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2219173Z 2025-12-04T11:16:33.2219691Z [W1204 11:01:29.067249242 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2220356Z 2025-12-04T11:16:33.2220867Z [W1204 11:01:29.075104576 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2221534Z 2025-12-04T11:16:33.2222045Z [W1204 11:01:29.075332824 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2222700Z 2025-12-04T11:16:33.2223231Z [W1204 11:01:29.075519642 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2223890Z 2025-12-04T11:16:33.2224409Z [W1204 11:01:29.075791133 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2225087Z 2025-12-04T11:16:33.2225605Z [W1204 11:01:29.075962178 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2226255Z 2025-12-04T11:16:33.2226784Z [W1204 11:01:29.076245687 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2227433Z 2025-12-04T11:16:33.2227964Z [W1204 11:01:29.076416374 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2228623Z 2025-12-04T11:16:33.2229136Z [W1204 11:01:29.076689168 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2229801Z 2025-12-04T11:16:33.2230316Z [W1204 11:01:29.076867737 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2230978Z 2025-12-04T11:16:33.2231495Z [W1204 11:01:29.188100118 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2232146Z 2025-12-04T11:16:33.2232677Z [W1204 11:01:29.188326981 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2233330Z 2025-12-04T11:16:33.2233861Z [W1204 11:01:29.188511605 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2234519Z 2025-12-04T11:16:33.2235035Z [W1204 11:01:29.188785654 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2235705Z 2025-12-04T11:16:33.2236217Z [W1204 11:01:29.188957347 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2236881Z 2025-12-04T11:16:33.2237391Z [W1204 11:01:29.189238534 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2238111Z 2025-12-04T11:16:33.2238628Z [W1204 11:01:29.189408261 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2239280Z 2025-12-04T11:16:33.2239805Z [W1204 11:01:29.189680957 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2240511Z 2025-12-04T11:16:33.2241023Z [W1204 11:01:29.189848465 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2241682Z 2025-12-04T11:16:33.2241815Z ('RERUN', {'yellow': True}) [19.1351s] [100%] 2025-12-04T11:16:33.2243400Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:01:29.598764247 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2244856Z 2025-12-04T11:16:33.2245365Z [W1204 11:01:29.599024518 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2246017Z 2025-12-04T11:16:33.2246541Z [W1204 11:01:29.599210375 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2247193Z 2025-12-04T11:16:33.2247705Z [W1204 11:01:29.599482754 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2248348Z 2025-12-04T11:16:33.2248855Z [W1204 11:01:29.599655336 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2249506Z 2025-12-04T11:16:33.2250020Z [W1204 11:01:29.599936314 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2250677Z 2025-12-04T11:16:33.2251293Z [W1204 11:01:29.600127093 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2251941Z 2025-12-04T11:16:33.2252453Z [W1204 11:01:29.600415519 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2253099Z 2025-12-04T11:16:33.2253619Z [W1204 11:01:29.600582549 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2254263Z 2025-12-04T11:16:33.2254771Z [W1204 11:01:29.608646012 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2255427Z 2025-12-04T11:16:33.2255932Z [W1204 11:01:29.608866002 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2256587Z 2025-12-04T11:16:33.2257097Z [W1204 11:01:29.609048656 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2257739Z 2025-12-04T11:16:33.2258253Z [W1204 11:01:29.609312534 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2258904Z 2025-12-04T11:16:33.2259420Z [W1204 11:01:29.609478051 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2260072Z 2025-12-04T11:16:33.2260578Z [W1204 11:01:29.609757816 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2261243Z 2025-12-04T11:16:33.2261750Z [W1204 11:01:29.609924139 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2262400Z 2025-12-04T11:16:33.2262969Z [W1204 11:01:29.610224930 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2263614Z 2025-12-04T11:16:33.2264128Z [W1204 11:01:29.610400914 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2264772Z 2025-12-04T11:16:33.2265285Z [W1204 11:01:29.721912029 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2265981Z 2025-12-04T11:16:33.2266486Z [W1204 11:01:29.722138130 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2267140Z 2025-12-04T11:16:33.2267645Z [W1204 11:01:29.722319358 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2268301Z 2025-12-04T11:16:33.2268810Z [W1204 11:01:29.722581855 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2269451Z 2025-12-04T11:16:33.2269962Z [W1204 11:01:29.722762244 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2270606Z 2025-12-04T11:16:33.2271121Z [W1204 11:01:29.723046997 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2271772Z 2025-12-04T11:16:33.2272278Z [W1204 11:01:29.723214202 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2272931Z 2025-12-04T11:16:33.2273437Z [W1204 11:01:29.723484042 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2274092Z 2025-12-04T11:16:33.2274601Z [W1204 11:01:29.723647802 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2275251Z 2025-12-04T11:16:33.2275754Z [W1204 11:01:30.879554045 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2276397Z 2025-12-04T11:16:33.2276912Z [W1204 11:01:30.879793990 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2277561Z 2025-12-04T11:16:33.2278072Z [W1204 11:01:30.879982056 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2278719Z 2025-12-04T11:16:33.2279231Z [W1204 11:01:30.880283695 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2279886Z 2025-12-04T11:16:33.2280395Z [W1204 11:01:30.880461656 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2281047Z 2025-12-04T11:16:33.2281553Z [W1204 11:01:30.880750817 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2282196Z 2025-12-04T11:16:33.2282709Z [W1204 11:01:30.880922248 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2283360Z 2025-12-04T11:16:33.2283873Z [W1204 11:01:30.881195798 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2284517Z 2025-12-04T11:16:33.2285022Z [W1204 11:01:30.881366017 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2285670Z 2025-12-04T11:16:33.2286230Z [W1204 11:01:30.889196972 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2286884Z 2025-12-04T11:16:33.2287388Z [W1204 11:01:30.889419248 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2288030Z 2025-12-04T11:16:33.2288542Z [W1204 11:01:30.889608062 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2289255Z 2025-12-04T11:16:33.2289767Z [W1204 11:01:30.889878250 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2290409Z 2025-12-04T11:16:33.2290915Z [W1204 11:01:30.890070464 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2291644Z 2025-12-04T11:16:33.2292149Z [W1204 11:01:30.890371750 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2292806Z 2025-12-04T11:16:33.2293313Z [W1204 11:01:30.890545312 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2293959Z 2025-12-04T11:16:33.2294475Z [W1204 11:01:30.890846314 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2295123Z 2025-12-04T11:16:33.2295641Z [W1204 11:01:30.891021274 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2296285Z 2025-12-04T11:16:33.2296789Z [W1204 11:01:30.002090340 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2297443Z 2025-12-04T11:16:33.2297950Z [W1204 11:01:30.002324678 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2298601Z 2025-12-04T11:16:33.2299110Z [W1204 11:01:30.002521000 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2300083Z 2025-12-04T11:16:33.2300615Z [W1204 11:01:30.002806569 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2301262Z 2025-12-04T11:16:33.2301781Z [W1204 11:01:30.002979425 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2302430Z 2025-12-04T11:16:33.2302937Z [W1204 11:01:30.003264413 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2303592Z 2025-12-04T11:16:33.2304098Z [W1204 11:01:30.003435274 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2304925Z 2025-12-04T11:16:33.2305440Z [W1204 11:01:30.003706724 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2306092Z 2025-12-04T11:16:33.2306596Z [W1204 11:01:30.003875655 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2307237Z 2025-12-04T11:16:33.2307371Z ('RERUN', {'yellow': True}) [0.7774s] [100%] 2025-12-04T11:16:33.2308932Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:01:30.353888732 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2310370Z 2025-12-04T11:16:33.2310882Z [W1204 11:01:30.354152633 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2311538Z 2025-12-04T11:16:33.2312178Z [W1204 11:01:30.354333936 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2312831Z 2025-12-04T11:16:33.2313340Z [W1204 11:01:30.354604057 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2313984Z 2025-12-04T11:16:33.2314494Z [W1204 11:01:30.354789203 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2315220Z 2025-12-04T11:16:33.2315732Z [W1204 11:01:30.355076665 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2316379Z 2025-12-04T11:16:33.2316885Z [W1204 11:01:30.355244109 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2317533Z 2025-12-04T11:16:33.2318045Z [W1204 11:01:30.355514231 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2318695Z 2025-12-04T11:16:33.2319200Z [W1204 11:01:30.355677539 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2319841Z 2025-12-04T11:16:33.2320356Z [W1204 11:01:30.363440090 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2321005Z 2025-12-04T11:16:33.2321515Z [W1204 11:01:30.363661148 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2322156Z 2025-12-04T11:16:33.2322663Z [W1204 11:01:30.363840814 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2323316Z 2025-12-04T11:16:33.2323825Z [W1204 11:01:30.364102436 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2324484Z 2025-12-04T11:16:33.2324989Z [W1204 11:01:30.364268060 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2325637Z 2025-12-04T11:16:33.2326149Z [W1204 11:01:30.364545290 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2326799Z 2025-12-04T11:16:33.2327314Z [W1204 11:01:30.364709712 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2327959Z 2025-12-04T11:16:33.2328465Z [W1204 11:01:30.364979035 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2329114Z 2025-12-04T11:16:33.2329625Z [W1204 11:01:30.365142653 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2330279Z 2025-12-04T11:16:33.2330785Z [W1204 11:01:30.475928224 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2331509Z 2025-12-04T11:16:33.2332027Z [W1204 11:01:30.476148831 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2332677Z 2025-12-04T11:16:33.2333195Z [W1204 11:01:30.476338631 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2333838Z 2025-12-04T11:16:33.2334345Z [W1204 11:01:30.476604547 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2334996Z 2025-12-04T11:16:33.2335564Z [W1204 11:01:30.476770115 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2336219Z 2025-12-04T11:16:33.2336725Z [W1204 11:01:30.477048671 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2337375Z 2025-12-04T11:16:33.2337889Z [W1204 11:01:30.477214010 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2338588Z 2025-12-04T11:16:33.2339105Z [W1204 11:01:30.477481145 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2339748Z 2025-12-04T11:16:33.2340254Z [W1204 11:01:30.477644453 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2340907Z 2025-12-04T11:16:33.2341412Z [W1204 11:01:30.631698913 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2342069Z 2025-12-04T11:16:33.2342575Z [W1204 11:01:30.631932642 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2343224Z 2025-12-04T11:16:33.2343733Z [W1204 11:01:30.632120448 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2344382Z 2025-12-04T11:16:33.2344900Z [W1204 11:01:30.632390921 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2345546Z 2025-12-04T11:16:33.2346062Z [W1204 11:01:30.632562036 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2346707Z 2025-12-04T11:16:33.2347213Z [W1204 11:01:30.632847649 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2347859Z 2025-12-04T11:16:33.2348370Z [W1204 11:01:30.633019638 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2349022Z 2025-12-04T11:16:33.2349530Z [W1204 11:01:30.633294894 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2350176Z 2025-12-04T11:16:33.2350699Z [W1204 11:01:30.633465625 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2351344Z 2025-12-04T11:16:33.2351857Z [W1204 11:01:30.641223873 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2352499Z 2025-12-04T11:16:33.2353002Z [W1204 11:01:30.641450287 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2353653Z 2025-12-04T11:16:33.2354163Z [W1204 11:01:30.641636367 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2354814Z 2025-12-04T11:16:33.2355319Z [W1204 11:01:30.641904219 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2355971Z 2025-12-04T11:16:33.2356494Z [W1204 11:01:30.642075721 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2357148Z 2025-12-04T11:16:33.2357669Z [W1204 11:01:30.642360546 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2358318Z 2025-12-04T11:16:33.2358832Z [W1204 11:01:30.642533001 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2359496Z 2025-12-04T11:16:33.2360060Z [W1204 11:01:30.642825415 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2360728Z 2025-12-04T11:16:33.2361239Z [W1204 11:01:30.643000192 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2361891Z 2025-12-04T11:16:33.2362415Z [W1204 11:01:30.753630256 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2363190Z 2025-12-04T11:16:33.2363718Z [W1204 11:01:30.753891027 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2364370Z 2025-12-04T11:16:33.2364881Z [W1204 11:01:30.754078165 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2365549Z 2025-12-04T11:16:33.2366065Z [W1204 11:01:30.754360799 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2366735Z 2025-12-04T11:16:33.2367248Z [W1204 11:01:30.754543995 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2367896Z 2025-12-04T11:16:33.2368424Z [W1204 11:01:30.754851543 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2369082Z 2025-12-04T11:16:33.2369610Z [W1204 11:01:30.755027698 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2370263Z 2025-12-04T11:16:33.2370775Z [W1204 11:01:30.755304687 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2371535Z 2025-12-04T11:16:33.2372051Z [W1204 11:01:30.755475175 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2372718Z 2025-12-04T11:16:33.2372823Z FAILED [0.7502s] [100%] 2025-12-04T11:16:33.2372999Z 2025-12-04T11:16:33.2373161Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.2374004Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.2374800Z Traceback (most recent call last): 2025-12-04T11:16:33.2375592Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 204, in test_int8_woq_mm_concat_cuda 2025-12-04T11:16:33.2376507Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 3) 2025-12-04T11:16:33.2377332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2378106Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2378954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2379842Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2380308Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2380570Z 2025-12-04T11:16:33.2380678Z Expected 3 but got 6. 2025-12-04T11:16:33.2380970Z Absolute difference: 3 2025-12-04T11:16:33.2381260Z Relative difference: 1.0 2025-12-04T11:16:33.2381464Z 2025-12-04T11:16:33.2381682Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2382990Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2384072Z 2025-12-04T11:16:33.2384356Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2385049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2385539Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2386295Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2387205Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2387668Z graph_break [] 2025-12-04T11:16:33.2388119Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2389700Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.2391162Z if out == self.unknown_value: 2025-12-04T11:16:33.2392113Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2393089Z warnings.warn( 2025-12-04T11:16:33.2393981Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2394940Z warnings.warn( 2025-12-04T11:16:33.2395645Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.2396453Z Traceback (most recent call last): 2025-12-04T11:16:33.2397239Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 204, in test_int8_woq_mm_concat_cuda 2025-12-04T11:16:33.2398141Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 3) 2025-12-04T11:16:33.2398975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2399748Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2400589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2401466Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2401944Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2402192Z 2025-12-04T11:16:33.2402314Z Expected 3 but got 6. 2025-12-04T11:16:33.2402595Z Absolute difference: 3 2025-12-04T11:16:33.2402891Z Relative difference: 1.0 2025-12-04T11:16:33.2403081Z 2025-12-04T11:16:33.2403309Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2404768Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2405850Z 2025-12-04T11:16:33.2406120Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2406762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2407247Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2408002Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2408894Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2409375Z graph_break [] 2025-12-04T11:16:33.2409750Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2411416Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.2412892Z if out == self.unknown_value: 2025-12-04T11:16:33.2413974Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2414961Z warnings.warn( 2025-12-04T11:16:33.2415841Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2416811Z warnings.warn( 2025-12-04T11:16:33.2417279Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2417761Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2418200Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2419128Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2419902Z graph_break [] 2025-12-04T11:16:33.2420267Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2421378Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2422360Z warnings.warn( 2025-12-04T11:16:33.2423259Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2424226Z warnings.warn( 2025-12-04T11:16:33.2424544Z =================================== FAILURES =================================== 2025-12-04T11:16:33.2425389Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.2426197Z Traceback (most recent call last): 2025-12-04T11:16:33.2426974Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 204, in test_int8_woq_mm_concat_cuda 2025-12-04T11:16:33.2427900Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 3) 2025-12-04T11:16:33.2428739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2429504Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2430350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2431245Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2431720Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2431970Z 2025-12-04T11:16:33.2432078Z Expected 3 but got 6. 2025-12-04T11:16:33.2432377Z Absolute difference: 3 2025-12-04T11:16:33.2432674Z Relative difference: 1.0 2025-12-04T11:16:33.2432866Z 2025-12-04T11:16:33.2433086Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2434399Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2435487Z 2025-12-04T11:16:33.2435755Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2436391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2436863Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2437619Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2438525Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2438998Z graph_break [] 2025-12-04T11:16:33.2439364Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2441032Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.2442507Z if out == self.unknown_value: 2025-12-04T11:16:33.2443471Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2444436Z warnings.warn( 2025-12-04T11:16:33.2445398Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2446365Z warnings.warn( 2025-12-04T11:16:33.2446736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2447221Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2447669Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2448581Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2449341Z graph_break [] 2025-12-04T11:16:33.2449712Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2450804Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2451860Z warnings.warn( 2025-12-04T11:16:33.2452737Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2453709Z warnings.warn( 2025-12-04T11:16:33.2454094Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2454564Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2455011Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2455922Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2456700Z graph_break [] 2025-12-04T11:16:33.2457063Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2458158Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2459136Z warnings.warn( 2025-12-04T11:16:33.2460015Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2460981Z warnings.warn( 2025-12-04T11:16:33.2461991Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-b967beb25f0116ef.xml - 2025-12-04T11:16:33.2463160Z =========================== short test summary info ============================ 2025-12-04T11:16:33.2464452Z FAILED [0.7502s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2465564Z 2025-12-04T11:16:33.2465672Z Expected 3 but got 6. 2025-12-04T11:16:33.2465969Z Absolute difference: 3 2025-12-04T11:16:33.2466265Z Relative difference: 1.0 2025-12-04T11:16:33.2466456Z 2025-12-04T11:16:33.2466674Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2467971Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2469050Z 2025-12-04T11:16:33.2469393Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2469995Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.2470514Z ================== 1 failed, 10 deselected, 2 rerun in 20.69s ================== 2025-12-04T11:16:33.2470962Z Got exit code 1 2025-12-04T11:16:33.2471234Z Retrying single test... 2025-12-04T11:16:33.2471859Z W1204 11:01:41.573000 90612 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.2473180Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-52a6048a1b3ff4be.xml 2025-12-04T11:16:33.2474152Z ============================= test session starts ============================== 2025-12-04T11:16:33.2474819Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.2475410Z cachedir: .pytest_cache 2025-12-04T11:16:33.2476128Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.2476919Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.2477271Z configfile: pytest.ini 2025-12-04T11:16:33.2477990Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.2478895Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.2480282Z stepcurrent: skipping 0 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2481557Z Running 1 items in this shard 2025-12-04T11:16:33.2481768Z 2025-12-04T11:16:33.2483094Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:01:45.831211018 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2484550Z 2025-12-04T11:16:33.2485073Z [W1204 11:02:00.311759241 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2485743Z 2025-12-04T11:16:33.2486265Z [W1204 11:02:00.312019186 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2486924Z 2025-12-04T11:16:33.2487454Z [W1204 11:02:00.312624088 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2488107Z 2025-12-04T11:16:33.2488633Z [W1204 11:02:00.312835171 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2489288Z 2025-12-04T11:16:33.2489807Z [W1204 11:02:00.314637963 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2490470Z 2025-12-04T11:16:33.2490982Z [W1204 11:02:00.314840278 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2491729Z 2025-12-04T11:16:33.2492246Z [W1204 11:02:00.315146170 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2492904Z 2025-12-04T11:16:33.2493429Z [W1204 11:02:00.315316482 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2494079Z 2025-12-04T11:16:33.2494607Z [W1204 11:02:00.325606944 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2495255Z 2025-12-04T11:16:33.2495857Z [W1204 11:02:00.325852102 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2496524Z 2025-12-04T11:16:33.2497040Z [W1204 11:02:00.326040611 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2497710Z 2025-12-04T11:16:33.2498227Z [W1204 11:02:00.326307942 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2498962Z 2025-12-04T11:16:33.2499482Z [W1204 11:02:00.326473886 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2500138Z 2025-12-04T11:16:33.2500669Z [W1204 11:02:00.326776352 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2501322Z 2025-12-04T11:16:33.2501857Z [W1204 11:02:00.326947008 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2502509Z 2025-12-04T11:16:33.2503023Z [W1204 11:02:00.327223561 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2503694Z 2025-12-04T11:16:33.2504208Z [W1204 11:02:00.327389684 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2505025Z 2025-12-04T11:16:33.2505541Z [W1204 11:02:00.442952655 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2506195Z 2025-12-04T11:16:33.2506724Z [W1204 11:02:00.443230569 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2507376Z 2025-12-04T11:16:33.2507912Z [W1204 11:02:00.443411702 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2508568Z 2025-12-04T11:16:33.2509084Z [W1204 11:02:00.443673378 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2509751Z 2025-12-04T11:16:33.2510265Z [W1204 11:02:00.443836465 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2510938Z 2025-12-04T11:16:33.2511451Z [W1204 11:02:00.444110786 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2512105Z 2025-12-04T11:16:33.2512635Z [W1204 11:02:00.444272302 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2513289Z 2025-12-04T11:16:33.2513821Z [W1204 11:02:00.444536975 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2514474Z 2025-12-04T11:16:33.2514989Z [W1204 11:02:00.444699002 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2515657Z 2025-12-04T11:16:33.2516169Z [W1204 11:02:02.453903251 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2516836Z 2025-12-04T11:16:33.2517354Z [W1204 11:02:02.455126054 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2518011Z 2025-12-04T11:16:33.2518541Z [W1204 11:02:02.455323219 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2519195Z 2025-12-04T11:16:33.2519720Z [W1204 11:02:02.455601518 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2520369Z 2025-12-04T11:16:33.2520980Z [W1204 11:02:02.455774799 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2521652Z 2025-12-04T11:16:33.2522166Z [W1204 11:02:02.456063062 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2522835Z 2025-12-04T11:16:33.2523350Z [W1204 11:02:02.456236614 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2524076Z 2025-12-04T11:16:33.2524606Z [W1204 11:02:02.456511505 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2525257Z 2025-12-04T11:16:33.2525789Z [W1204 11:02:02.456682538 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2526439Z 2025-12-04T11:16:33.2526955Z [W1204 11:02:02.464456897 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2527622Z 2025-12-04T11:16:33.2528136Z [W1204 11:02:02.464687663 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2528801Z 2025-12-04T11:16:33.2529314Z [W1204 11:02:02.464873201 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2529972Z 2025-12-04T11:16:33.2530497Z [W1204 11:02:02.465142892 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2531226Z 2025-12-04T11:16:33.2531754Z [W1204 11:02:02.465315732 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2532405Z 2025-12-04T11:16:33.2532924Z [W1204 11:02:02.465598268 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2533594Z 2025-12-04T11:16:33.2534108Z [W1204 11:02:02.465769571 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2534776Z 2025-12-04T11:16:33.2535288Z [W1204 11:02:02.466039516 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2535958Z 2025-12-04T11:16:33.2536473Z [W1204 11:02:02.466208663 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2537123Z 2025-12-04T11:16:33.2537648Z [W1204 11:02:02.576461669 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2538298Z 2025-12-04T11:16:33.2538831Z [W1204 11:02:02.576688058 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2539483Z 2025-12-04T11:16:33.2539998Z [W1204 11:02:02.576871659 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2540664Z 2025-12-04T11:16:33.2541180Z [W1204 11:02:02.577134787 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2541850Z 2025-12-04T11:16:33.2542364Z [W1204 11:02:02.577303219 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2543015Z 2025-12-04T11:16:33.2543542Z [W1204 11:02:02.577585386 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2544192Z 2025-12-04T11:16:33.2544780Z [W1204 11:02:02.577754075 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2545431Z 2025-12-04T11:16:33.2545948Z [W1204 11:02:02.578029185 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2546612Z 2025-12-04T11:16:33.2547128Z [W1204 11:02:02.578197141 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2547853Z 2025-12-04T11:16:33.2547991Z ('RERUN', {'yellow': True}) [19.5608s] [100%] 2025-12-04T11:16:33.2549575Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:02:03.985267008 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2551017Z 2025-12-04T11:16:33.2551551Z [W1204 11:02:03.985547071 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2552207Z 2025-12-04T11:16:33.2552723Z [W1204 11:02:03.985733493 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2553389Z 2025-12-04T11:16:33.2553905Z [W1204 11:02:03.986005532 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2554578Z 2025-12-04T11:16:33.2555093Z [W1204 11:02:03.986179105 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2555748Z 2025-12-04T11:16:33.2556277Z [W1204 11:02:03.986461361 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2556926Z 2025-12-04T11:16:33.2557461Z [W1204 11:02:03.986629213 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2558119Z 2025-12-04T11:16:33.2558634Z [W1204 11:02:03.986920177 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2559302Z 2025-12-04T11:16:33.2559816Z [W1204 11:02:03.987089566 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2560486Z 2025-12-04T11:16:33.2560999Z [W1204 11:02:03.995082068 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2561654Z 2025-12-04T11:16:33.2564508Z [W1204 11:02:03.995307477 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2565167Z 2025-12-04T11:16:33.2565698Z [W1204 11:02:03.995491374 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2566355Z 2025-12-04T11:16:33.2566871Z [W1204 11:02:03.995754024 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2567540Z 2025-12-04T11:16:33.2568053Z [W1204 11:02:03.995923549 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2568724Z 2025-12-04T11:16:33.2569237Z [W1204 11:02:03.996200410 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2569904Z 2025-12-04T11:16:33.2570417Z [W1204 11:02:03.996367570 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2571183Z 2025-12-04T11:16:33.2571715Z [W1204 11:02:03.996635886 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2572368Z 2025-12-04T11:16:33.2572968Z [W1204 11:02:03.996801043 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2573616Z 2025-12-04T11:16:33.2574129Z [W1204 11:02:03.107814195 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2574791Z 2025-12-04T11:16:33.2575365Z [W1204 11:02:03.108040492 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2576031Z 2025-12-04T11:16:33.2576545Z [W1204 11:02:03.108221605 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2577199Z 2025-12-04T11:16:33.2577726Z [W1204 11:02:03.108486384 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2578377Z 2025-12-04T11:16:33.2578909Z [W1204 11:02:03.108654054 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2579560Z 2025-12-04T11:16:33.2580074Z [W1204 11:02:03.108934039 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2580742Z 2025-12-04T11:16:33.2581258Z [W1204 11:02:03.109098482 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2581924Z 2025-12-04T11:16:33.2582437Z [W1204 11:02:03.109365668 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2583087Z 2025-12-04T11:16:33.2583612Z [W1204 11:02:03.109528824 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2584262Z 2025-12-04T11:16:33.2584790Z [W1204 11:02:03.264718452 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2585441Z 2025-12-04T11:16:33.2585955Z [W1204 11:02:03.264948872 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2586615Z 2025-12-04T11:16:33.2587126Z [W1204 11:02:03.265136484 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2587795Z 2025-12-04T11:16:33.2588309Z [W1204 11:02:03.265413990 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2588958Z 2025-12-04T11:16:33.2589487Z [W1204 11:02:03.265584380 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2590137Z 2025-12-04T11:16:33.2590664Z [W1204 11:02:03.265866440 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2591318Z 2025-12-04T11:16:33.2591832Z [W1204 11:02:03.266037662 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2592497Z 2025-12-04T11:16:33.2593011Z [W1204 11:02:03.266311650 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2593680Z 2025-12-04T11:16:33.2594193Z [W1204 11:02:03.266480866 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2594845Z 2025-12-04T11:16:33.2595370Z [W1204 11:02:03.274269329 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2596022Z 2025-12-04T11:16:33.2596634Z [W1204 11:02:03.274494523 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2597291Z 2025-12-04T11:16:33.2597805Z [W1204 11:02:03.274695634 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2598472Z 2025-12-04T11:16:33.2598983Z [W1204 11:02:03.274966942 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2599711Z 2025-12-04T11:16:33.2600224Z [W1204 11:02:03.275137774 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2600874Z 2025-12-04T11:16:33.2601401Z [W1204 11:02:03.275421947 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2602052Z 2025-12-04T11:16:33.2602579Z [W1204 11:02:03.275592674 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2603231Z 2025-12-04T11:16:33.2603746Z [W1204 11:02:03.275865876 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2604405Z 2025-12-04T11:16:33.2605063Z [W1204 11:02:03.276034747 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2605733Z 2025-12-04T11:16:33.2606249Z [W1204 11:02:03.386471086 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2606913Z 2025-12-04T11:16:33.2607428Z [W1204 11:02:03.386755447 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2608076Z 2025-12-04T11:16:33.2608605Z [W1204 11:02:03.386948190 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2609261Z 2025-12-04T11:16:33.2609789Z [W1204 11:02:03.387233900 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2610446Z 2025-12-04T11:16:33.2610962Z [W1204 11:02:03.387407924 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2611740Z 2025-12-04T11:16:33.2612260Z [W1204 11:02:03.387696254 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2612924Z 2025-12-04T11:16:33.2613440Z [W1204 11:02:03.387867022 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2614093Z 2025-12-04T11:16:33.2614621Z [W1204 11:02:03.388138848 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2615280Z 2025-12-04T11:16:33.2615812Z [W1204 11:02:03.388308105 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2616468Z 2025-12-04T11:16:33.2616602Z ('RERUN', {'yellow': True}) [0.7736s] [100%] 2025-12-04T11:16:33.2618188Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:02:03.739639575 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2619650Z 2025-12-04T11:16:33.2620169Z [W1204 11:02:03.739903443 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2620821Z 2025-12-04T11:16:33.2621351Z [W1204 11:02:03.740111884 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2622005Z 2025-12-04T11:16:33.2622639Z [W1204 11:02:03.740392140 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2623290Z 2025-12-04T11:16:33.2623805Z [W1204 11:02:03.740572825 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2624472Z 2025-12-04T11:16:33.2625061Z [W1204 11:02:03.740858520 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2625727Z 2025-12-04T11:16:33.2626239Z [W1204 11:02:03.741025108 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2626893Z 2025-12-04T11:16:33.2627428Z [W1204 11:02:03.741294107 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2628078Z 2025-12-04T11:16:33.2628609Z [W1204 11:02:03.741457607 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2629259Z 2025-12-04T11:16:33.2629775Z [W1204 11:02:03.749155545 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2630440Z 2025-12-04T11:16:33.2630953Z [W1204 11:02:03.749376147 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2631624Z 2025-12-04T11:16:33.2632138Z [W1204 11:02:03.749558340 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2632793Z 2025-12-04T11:16:33.2633317Z [W1204 11:02:03.749818159 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2633966Z 2025-12-04T11:16:33.2634496Z [W1204 11:02:03.749984087 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2635150Z 2025-12-04T11:16:33.2635658Z [W1204 11:02:03.750291535 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2636327Z 2025-12-04T11:16:33.2636839Z [W1204 11:02:03.750465837 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2637510Z 2025-12-04T11:16:33.2638023Z [W1204 11:02:03.750754886 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2638687Z 2025-12-04T11:16:33.2639199Z [W1204 11:02:03.750923396 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2639847Z 2025-12-04T11:16:33.2640374Z [W1204 11:02:04.860532006 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2641025Z 2025-12-04T11:16:33.2641547Z [W1204 11:02:04.860752578 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2642193Z 2025-12-04T11:16:33.2642705Z [W1204 11:02:04.860933423 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2643370Z 2025-12-04T11:16:33.2643882Z [W1204 11:02:04.861196309 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2644547Z 2025-12-04T11:16:33.2645060Z [W1204 11:02:04.861360505 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2645709Z 2025-12-04T11:16:33.2646297Z [W1204 11:02:04.861638410 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2646947Z 2025-12-04T11:16:33.2647476Z [W1204 11:02:04.861803081 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2648128Z 2025-12-04T11:16:33.2648639Z [W1204 11:02:04.862071660 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2649360Z 2025-12-04T11:16:33.2649873Z [W1204 11:02:04.862234903 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2650538Z 2025-12-04T11:16:33.2651133Z [W1204 11:02:04.015931630 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2651793Z 2025-12-04T11:16:33.2652327Z [W1204 11:02:04.016177008 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2652974Z 2025-12-04T11:16:33.2653502Z [W1204 11:02:04.016363041 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2654151Z 2025-12-04T11:16:33.2654663Z [W1204 11:02:04.016635790 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2655330Z 2025-12-04T11:16:33.2655845Z [W1204 11:02:04.016807482 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2656505Z 2025-12-04T11:16:33.2657018Z [W1204 11:02:04.017090145 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2657669Z 2025-12-04T11:16:33.2658194Z [W1204 11:02:04.017271584 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2658851Z 2025-12-04T11:16:33.2659377Z [W1204 11:02:04.017545309 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2660027Z 2025-12-04T11:16:33.2660538Z [W1204 11:02:04.017713641 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2661204Z 2025-12-04T11:16:33.2661715Z [W1204 11:02:04.025422475 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2662377Z 2025-12-04T11:16:33.2662890Z [W1204 11:02:04.025649446 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2663540Z 2025-12-04T11:16:33.2664064Z [W1204 11:02:04.025834900 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2664713Z 2025-12-04T11:16:33.2665245Z [W1204 11:02:04.026098391 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2665896Z 2025-12-04T11:16:33.2666409Z [W1204 11:02:04.026267578 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2667073Z 2025-12-04T11:16:33.2667591Z [W1204 11:02:04.026550535 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2668254Z 2025-12-04T11:16:33.2668768Z [W1204 11:02:04.026732648 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2669415Z 2025-12-04T11:16:33.2669945Z [W1204 11:02:04.027012332 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2670592Z 2025-12-04T11:16:33.2671184Z [W1204 11:02:04.027182370 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2671836Z 2025-12-04T11:16:33.2672351Z [W1204 11:02:04.137262177 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2673016Z 2025-12-04T11:16:33.2673529Z [W1204 11:02:04.137491813 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2674267Z 2025-12-04T11:16:33.2674783Z [W1204 11:02:04.137677817 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2675448Z 2025-12-04T11:16:33.2675960Z [W1204 11:02:04.137944914 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2676611Z 2025-12-04T11:16:33.2677141Z [W1204 11:02:04.138114165 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2677792Z 2025-12-04T11:16:33.2678319Z [W1204 11:02:04.138400777 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2678970Z 2025-12-04T11:16:33.2679482Z [W1204 11:02:04.138570707 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2680157Z 2025-12-04T11:16:33.2680672Z [W1204 11:02:04.138862923 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2681333Z 2025-12-04T11:16:33.2681848Z [W1204 11:02:04.139033785 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2682498Z 2025-12-04T11:16:33.2682616Z FAILED [0.7482s] [100%] 2025-12-04T11:16:33.2682792Z 2025-12-04T11:16:33.2682942Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.2683772Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.2684580Z Traceback (most recent call last): 2025-12-04T11:16:33.2685366Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 204, in test_int8_woq_mm_concat_cuda 2025-12-04T11:16:33.2686275Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 3) 2025-12-04T11:16:33.2687112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2687888Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2688731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2689614Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2690092Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2690342Z 2025-12-04T11:16:33.2690462Z Expected 3 but got 6. 2025-12-04T11:16:33.2690738Z Absolute difference: 3 2025-12-04T11:16:33.2691141Z Relative difference: 1.0 2025-12-04T11:16:33.2691333Z 2025-12-04T11:16:33.2691564Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2692876Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2693948Z 2025-12-04T11:16:33.2694221Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2694860Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2695344Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2696180Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2697072Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2697547Z graph_break [] 2025-12-04T11:16:33.2697927Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2699504Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.2701036Z if out == self.unknown_value: 2025-12-04T11:16:33.2701986Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2702961Z warnings.warn( 2025-12-04T11:16:33.2703850Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2704971Z warnings.warn( 2025-12-04T11:16:33.2705682Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.2706490Z Traceback (most recent call last): 2025-12-04T11:16:33.2707271Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 204, in test_int8_woq_mm_concat_cuda 2025-12-04T11:16:33.2708198Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 3) 2025-12-04T11:16:33.2709035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2709812Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2710648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2711542Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2712024Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2712276Z 2025-12-04T11:16:33.2712385Z Expected 3 but got 6. 2025-12-04T11:16:33.2712685Z Absolute difference: 3 2025-12-04T11:16:33.2712991Z Relative difference: 1.0 2025-12-04T11:16:33.2713183Z 2025-12-04T11:16:33.2713407Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2714710Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2715798Z 2025-12-04T11:16:33.2716069Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2716712Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2717189Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2717941Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2718844Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2719322Z graph_break [] 2025-12-04T11:16:33.2719685Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2721273Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.2722739Z if out == self.unknown_value: 2025-12-04T11:16:33.2723686Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2724761Z warnings.warn( 2025-12-04T11:16:33.2725659Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2726626Z warnings.warn( 2025-12-04T11:16:33.2727011Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2727479Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2728006Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2728916Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2729677Z graph_break [] 2025-12-04T11:16:33.2730056Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2731262Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2732242Z warnings.warn( 2025-12-04T11:16:33.2733119Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2734092Z warnings.warn( 2025-12-04T11:16:33.2734406Z =================================== FAILURES =================================== 2025-12-04T11:16:33.2735238Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.2736043Z Traceback (most recent call last): 2025-12-04T11:16:33.2736829Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 204, in test_int8_woq_mm_concat_cuda 2025-12-04T11:16:33.2737743Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 3) 2025-12-04T11:16:33.2738563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2739331Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2740169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2741057Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2741522Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2741788Z 2025-12-04T11:16:33.2741896Z Expected 3 but got 6. 2025-12-04T11:16:33.2742185Z Absolute difference: 3 2025-12-04T11:16:33.2742469Z Relative difference: 1.0 2025-12-04T11:16:33.2742671Z 2025-12-04T11:16:33.2742890Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2744192Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2745264Z 2025-12-04T11:16:33.2745553Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2746173Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2746657Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2747416Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2748328Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2748789Z graph_break [] 2025-12-04T11:16:33.2749166Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2750749Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.2752287Z if out == self.unknown_value: 2025-12-04T11:16:33.2753235Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2754214Z warnings.warn( 2025-12-04T11:16:33.2755114Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2756135Z warnings.warn( 2025-12-04T11:16:33.2756514Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2756993Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2757441Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2758340Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2759117Z graph_break [] 2025-12-04T11:16:33.2759496Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2760583Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2761553Z warnings.warn( 2025-12-04T11:16:33.2762442Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2763414Z warnings.warn( 2025-12-04T11:16:33.2763781Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2764259Z stats [('calls_captured', 36)] 2025-12-04T11:16:33.2764708Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2765596Z inductor [('pattern_matcher_nodes', 36), ('woq_matcher_nodes', 24), ('pattern_matcher_count', 18), ('woq_matcher_count', 6), ('fxgraph_cache_miss', 2)] 2025-12-04T11:16:33.2766374Z graph_break [] 2025-12-04T11:16:33.2766748Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2767842Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2768800Z warnings.warn( 2025-12-04T11:16:33.2769703Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2770667Z warnings.warn( 2025-12-04T11:16:33.2771775Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-52a6048a1b3ff4be.xml - 2025-12-04T11:16:33.2772921Z =========================== short test summary info ============================ 2025-12-04T11:16:33.2774226Z FAILED [0.7482s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2775343Z 2025-12-04T11:16:33.2775450Z Expected 3 but got 6. 2025-12-04T11:16:33.2775741Z Absolute difference: 3 2025-12-04T11:16:33.2776026Z Relative difference: 1.0 2025-12-04T11:16:33.2776227Z 2025-12-04T11:16:33.2776451Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2777753Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2778829Z 2025-12-04T11:16:33.2779111Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2779690Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.2780286Z ================== 1 failed, 10 deselected, 2 rerun in 21.11s ================== 2025-12-04T11:16:33.2780743Z Got exit code 1 2025-12-04T11:16:33.2781753Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.2783168Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.2784330Z W1204 11:02:14.831000 90787 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.2785589Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-5e563f1808ccb2a4.xml 2025-12-04T11:16:33.2786552Z ============================= test session starts ============================== 2025-12-04T11:16:33.2787227Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.2787840Z cachedir: .pytest_cache 2025-12-04T11:16:33.2788556Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.2789339Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.2789702Z configfile: pytest.ini 2025-12-04T11:16:33.2790439Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.2791351Z collecting ... collected 58 items / 1 deselected / 57 selected 2025-12-04T11:16:33.2791840Z stepcurrent: skipping 1 already run items. 2025-12-04T11:16:33.2792233Z Running 10 items in this shard 2025-12-04T11:16:33.2792439Z 2025-12-04T11:16:33.2793338Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 ('RERUN', {'yellow': True}) [4.4170s] [ 10%] 2025-12-04T11:16:33.2795246Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.8657s] [ 10%] 2025-12-04T11:16:33.2797045Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 FAILED [0.8629s] [ 10%] 2025-12-04T11:16:33.2797989Z 2025-12-04T11:16:33.2798133Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.2798942Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.2799726Z Traceback (most recent call last): 2025-12-04T11:16:33.2800462Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.2801347Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.2802182Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2802943Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2803783Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2804834Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2805313Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2805562Z 2025-12-04T11:16:33.2805669Z Expected 1 but got 2. 2025-12-04T11:16:33.2805964Z Absolute difference: 1 2025-12-04T11:16:33.2806267Z Relative difference: 1.0 2025-12-04T11:16:33.2806456Z 2025-12-04T11:16:33.2806672Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2808061Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.2809128Z 2025-12-04T11:16:33.2809399Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2810036Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2810509Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.2811769Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.2813043Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2813522Z graph_break [] 2025-12-04T11:16:33.2813888Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2814997Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2815970Z warnings.warn( 2025-12-04T11:16:33.2816864Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2817820Z warnings.warn( 2025-12-04T11:16:33.2818504Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.2819296Z Traceback (most recent call last): 2025-12-04T11:16:33.2820036Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.2820919Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.2821752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2822527Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2823355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2824246Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2824721Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2824971Z 2025-12-04T11:16:33.2825093Z Expected 1 but got 2. 2025-12-04T11:16:33.2825376Z Absolute difference: 1 2025-12-04T11:16:33.2825675Z Relative difference: 1.0 2025-12-04T11:16:33.2825863Z 2025-12-04T11:16:33.2826090Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2827353Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.2828419Z 2025-12-04T11:16:33.2828695Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2829326Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2829807Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.2830906Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.2832170Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2832641Z graph_break [] 2025-12-04T11:16:33.2833018Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2834101Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2835077Z warnings.warn( 2025-12-04T11:16:33.2836053Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2837028Z warnings.warn( 2025-12-04T11:16:33.2837397Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2837876Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.2838324Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2839642Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.2840776Z graph_break [] 2025-12-04T11:16:33.2841151Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2842254Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2843218Z warnings.warn( 2025-12-04T11:16:33.2844109Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2845080Z warnings.warn( 2025-12-04T11:16:33.2845381Z =================================== FAILURES =================================== 2025-12-04T11:16:33.2846208Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.2846998Z Traceback (most recent call last): 2025-12-04T11:16:33.2847756Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.2848629Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.2849464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2850237Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2851186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2852070Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2868142Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2868439Z 2025-12-04T11:16:33.2868542Z Expected 1 but got 2. 2025-12-04T11:16:33.2868816Z Absolute difference: 1 2025-12-04T11:16:33.2869086Z Relative difference: 1.0 2025-12-04T11:16:33.2869273Z 2025-12-04T11:16:33.2869482Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2870749Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.2871797Z 2025-12-04T11:16:33.2872082Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2872694Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2873157Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.2874251Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.2875502Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2875951Z graph_break [] 2025-12-04T11:16:33.2876309Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2877396Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2878361Z warnings.warn( 2025-12-04T11:16:33.2879378Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2880349Z warnings.warn( 2025-12-04T11:16:33.2880725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2881193Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.2881637Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2882980Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.2884106Z graph_break [] 2025-12-04T11:16:33.2884463Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2885565Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2886580Z warnings.warn( 2025-12-04T11:16:33.2887550Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2888507Z warnings.warn( 2025-12-04T11:16:33.2888880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2889362Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.2889789Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.2891133Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.2892264Z graph_break [] 2025-12-04T11:16:33.2892637Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.2893718Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2894686Z warnings.warn( 2025-12-04T11:16:33.2895568Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.2896533Z warnings.warn( 2025-12-04T11:16:33.2897523Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-5e563f1808ccb2a4.xml - 2025-12-04T11:16:33.2898674Z =========================== short test summary info ============================ 2025-12-04T11:16:33.2899952Z FAILED [0.8629s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2902278Z 2025-12-04T11:16:33.2902399Z Expected 1 but got 2. 2025-12-04T11:16:33.2902674Z Absolute difference: 1 2025-12-04T11:16:33.2902966Z Relative difference: 1.0 2025-12-04T11:16:33.2903153Z 2025-12-04T11:16:33.2903380Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2904830Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.2905890Z 2025-12-04T11:16:33.2906154Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2906745Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.2907260Z =================== 1 failed, 1 deselected, 2 rerun in 6.18s =================== 2025-12-04T11:16:33.2907694Z Got exit code 1 2025-12-04T11:16:33.2907942Z Retrying single test... 2025-12-04T11:16:33.2908751Z W1204 11:02:34.330000 90991 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.2910001Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-baa4e241d300876e.xml 2025-12-04T11:16:33.2910951Z ============================= test session starts ============================== 2025-12-04T11:16:33.2911695Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.2912295Z cachedir: .pytest_cache 2025-12-04T11:16:33.2913001Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.2913768Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.2914112Z configfile: pytest.ini 2025-12-04T11:16:33.2914838Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.2915723Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.2917077Z stepcurrent: skipping 1 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.2918321Z Running 1 items in this shard 2025-12-04T11:16:33.2918529Z 2025-12-04T11:16:33.2919841Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:02:40.097606691 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2921260Z 2025-12-04T11:16:33.2921800Z [W1204 11:02:55.161707758 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2922454Z 2025-12-04T11:16:33.2922967Z [W1204 11:02:55.161954552 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2923630Z 2025-12-04T11:16:33.2924137Z [W1204 11:02:55.169092350 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2924800Z 2025-12-04T11:16:33.2925307Z [W1204 11:02:55.169724375 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2925950Z 2025-12-04T11:16:33.2926471Z [W1204 11:02:55.169908408 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2927117Z 2025-12-04T11:16:33.2927639Z [W1204 11:02:55.176749631 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2928292Z 2025-12-04T11:16:33.2928805Z [W1204 11:02:55.177349155 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2929458Z 2025-12-04T11:16:33.2929970Z [W1204 11:02:55.177556829 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2930623Z 2025-12-04T11:16:33.2931231Z [W1204 11:02:55.304939958 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2931891Z 2025-12-04T11:16:33.2932403Z [W1204 11:02:55.306362794 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2933054Z 2025-12-04T11:16:33.2933571Z [W1204 11:02:55.306559558 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2934218Z 2025-12-04T11:16:33.2934810Z [W1204 11:02:55.310332685 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2935458Z 2025-12-04T11:16:33.2935971Z [W1204 11:02:55.310956578 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2936632Z 2025-12-04T11:16:33.2937138Z [W1204 11:02:55.311150625 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2937849Z 2025-12-04T11:16:33.2938370Z [W1204 11:02:55.316914643 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2939018Z 2025-12-04T11:16:33.2939538Z [W1204 11:02:55.317517851 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2940187Z 2025-12-04T11:16:33.2940702Z [W1204 11:02:55.317704988 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2941356Z 2025-12-04T11:16:33.2941487Z ('RERUN', {'yellow': True}) [19.5249s] [100%] 2025-12-04T11:16:33.2943041Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:02:56.136459537 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2944472Z 2025-12-04T11:16:33.2944986Z [W1204 11:02:56.137125126 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2945634Z 2025-12-04T11:16:33.2946154Z [W1204 11:02:56.137317051 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2946799Z 2025-12-04T11:16:33.2947323Z [W1204 11:02:56.141132448 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2947970Z 2025-12-04T11:16:33.2948475Z [W1204 11:02:56.141722959 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2949136Z 2025-12-04T11:16:33.2949650Z [W1204 11:02:56.141905906 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2950311Z 2025-12-04T11:16:33.2950820Z [W1204 11:02:56.147735982 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2951469Z 2025-12-04T11:16:33.2951984Z [W1204 11:02:56.148318930 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2952634Z 2025-12-04T11:16:33.2953162Z [W1204 11:02:56.148499999 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2953814Z 2025-12-04T11:16:33.2954326Z [W1204 11:02:56.229231122 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2954980Z 2025-12-04T11:16:33.2955492Z [W1204 11:02:56.229831352 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2956149Z 2025-12-04T11:16:33.2956656Z [W1204 11:02:56.230043243 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2957302Z 2025-12-04T11:16:33.2957823Z [W1204 11:02:56.233774651 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2958472Z 2025-12-04T11:16:33.2959049Z [W1204 11:02:56.234358991 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2959697Z 2025-12-04T11:16:33.2960210Z [W1204 11:02:56.234546078 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2960867Z 2025-12-04T11:16:33.2961377Z [W1204 11:02:56.240362411 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2962091Z 2025-12-04T11:16:33.2962598Z [W1204 11:02:56.241109096 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2963245Z 2025-12-04T11:16:33.2963769Z [W1204 11:02:56.241295327 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2964414Z 2025-12-04T11:16:33.2964553Z ('RERUN', {'yellow': True}) [0.8858s] [100%] 2025-12-04T11:16:33.2966095Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:02:57.005349992 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2967526Z 2025-12-04T11:16:33.2968039Z [W1204 11:02:57.006013220 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2968701Z 2025-12-04T11:16:33.2969209Z [W1204 11:02:57.006204131 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2969856Z 2025-12-04T11:16:33.2970375Z [W1204 11:02:57.010055664 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2971092Z 2025-12-04T11:16:33.2971620Z [W1204 11:02:57.010656280 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2972271Z 2025-12-04T11:16:33.2972778Z [W1204 11:02:57.010849715 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2973435Z 2025-12-04T11:16:33.2973943Z [W1204 11:02:57.016628779 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2974602Z 2025-12-04T11:16:33.2975113Z [W1204 11:02:57.017212362 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2975767Z 2025-12-04T11:16:33.2976279Z [W1204 11:02:57.017392082 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2976928Z 2025-12-04T11:16:33.2977451Z [W1204 11:02:57.098967286 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2978103Z 2025-12-04T11:16:33.2978625Z [W1204 11:02:57.099608207 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2979274Z 2025-12-04T11:16:33.2979787Z [W1204 11:02:57.099800205 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2980450Z 2025-12-04T11:16:33.2980960Z [W1204 11:02:57.103562677 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2981613Z 2025-12-04T11:16:33.2982122Z [W1204 11:02:57.104155365 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2982767Z 2025-12-04T11:16:33.2983283Z [W1204 11:02:57.104344638 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2983994Z 2025-12-04T11:16:33.2984523Z [W1204 11:02:57.110098297 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2985167Z 2025-12-04T11:16:33.2985677Z [W1204 11:02:57.110859103 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2986336Z 2025-12-04T11:16:33.2986909Z [W1204 11:02:57.111046066 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.2987567Z 2025-12-04T11:16:33.2987667Z FAILED [0.8682s] [100%] 2025-12-04T11:16:33.2987838Z 2025-12-04T11:16:33.2987989Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.2988780Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.2989558Z Traceback (most recent call last): 2025-12-04T11:16:33.2990308Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.2991190Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.2992008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.2992770Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.2993608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.2994480Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.2994944Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.2995198Z 2025-12-04T11:16:33.2995303Z Expected 1 but got 2. 2025-12-04T11:16:33.2995591Z Absolute difference: 1 2025-12-04T11:16:33.2995869Z Relative difference: 1.0 2025-12-04T11:16:33.2996068Z 2025-12-04T11:16:33.2996288Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.2997554Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.2998605Z 2025-12-04T11:16:33.2998878Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.2999495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.2999964Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3001082Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3002335Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3002787Z graph_break [] 2025-12-04T11:16:33.3003161Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3004899Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3006346Z if out == self.unknown_value: 2025-12-04T11:16:33.3007296Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3008264Z warnings.warn( 2025-12-04T11:16:33.3009154Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3010109Z warnings.warn( 2025-12-04T11:16:33.3010916Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3011771Z Traceback (most recent call last): 2025-12-04T11:16:33.3012519Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3013385Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3014205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3015049Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3015865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3016743Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3017214Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3017460Z 2025-12-04T11:16:33.3017580Z Expected 1 but got 2. 2025-12-04T11:16:33.3017859Z Absolute difference: 1 2025-12-04T11:16:33.3018150Z Relative difference: 1.0 2025-12-04T11:16:33.3018337Z 2025-12-04T11:16:33.3018555Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3019819Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3020881Z 2025-12-04T11:16:33.3021147Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3021777Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3022233Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3023336Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3024593Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3025053Z graph_break [] 2025-12-04T11:16:33.3025408Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3026972Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3028422Z if out == self.unknown_value: 2025-12-04T11:16:33.3029363Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3030317Z warnings.warn( 2025-12-04T11:16:33.3031202Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3032166Z warnings.warn( 2025-12-04T11:16:33.3032533Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3033001Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3033440Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3034701Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3035823Z graph_break [] 2025-12-04T11:16:33.3036186Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3037270Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3038235Z warnings.warn( 2025-12-04T11:16:33.3039174Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3040131Z warnings.warn( 2025-12-04T11:16:33.3040431Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3041230Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3042066Z Traceback (most recent call last): 2025-12-04T11:16:33.3042811Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3043682Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3044487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3045238Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3046062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3046929Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3047384Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3047633Z 2025-12-04T11:16:33.3047734Z Expected 1 but got 2. 2025-12-04T11:16:33.3048004Z Absolute difference: 1 2025-12-04T11:16:33.3048281Z Relative difference: 1.0 2025-12-04T11:16:33.3048287Z 2025-12-04T11:16:33.3048503Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3049420Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3049426Z 2025-12-04T11:16:33.3049692Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3049911Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3050021Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3050920Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3051231Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3051334Z graph_break [] 2025-12-04T11:16:33.3051550Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3052759Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3052880Z if out == self.unknown_value: 2025-12-04T11:16:33.3053609Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3053706Z warnings.warn( 2025-12-04T11:16:33.3054429Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3054525Z warnings.warn( 2025-12-04T11:16:33.3054752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3054862Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3055087Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3055989Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3056083Z graph_break [] 2025-12-04T11:16:33.3056373Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3057098Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3057193Z warnings.warn( 2025-12-04T11:16:33.3057920Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3058076Z warnings.warn( 2025-12-04T11:16:33.3058288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3058410Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3058635Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3059539Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3059636Z graph_break [] 2025-12-04T11:16:33.3059847Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3060579Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3060680Z warnings.warn( 2025-12-04T11:16:33.3061411Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3061505Z warnings.warn( 2025-12-04T11:16:33.3062342Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-baa4e241d300876e.xml - 2025-12-04T11:16:33.3062526Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3063481Z FAILED [0.8682s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3063488Z 2025-12-04T11:16:33.3063603Z Expected 1 but got 2. 2025-12-04T11:16:33.3063705Z Absolute difference: 1 2025-12-04T11:16:33.3063815Z Relative difference: 1.0 2025-12-04T11:16:33.3063821Z 2025-12-04T11:16:33.3064046Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3064957Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3064962Z 2025-12-04T11:16:33.3065233Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3065415Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3065606Z ================== 1 failed, 10 deselected, 2 rerun in 21.31s ================== 2025-12-04T11:16:33.3065709Z Got exit code 1 2025-12-04T11:16:33.3065813Z Retrying single test... 2025-12-04T11:16:33.3066256Z W1204 11:03:07.749000 91200 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3066935Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-ff9ca122612ae2da.xml 2025-12-04T11:16:33.3067098Z ============================= test session starts ============================== 2025-12-04T11:16:33.3067456Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3067565Z cachedir: .pytest_cache 2025-12-04T11:16:33.3068081Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3068268Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3068373Z configfile: pytest.ini 2025-12-04T11:16:33.3068912Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3069138Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.3070134Z stepcurrent: skipping 1 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3070328Z Running 1 items in this shard 2025-12-04T11:16:33.3070333Z 2025-12-04T11:16:33.3071631Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:03:13.489349376 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3071637Z 2025-12-04T11:16:33.3072166Z [W1204 11:03:29.863557259 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3072171Z 2025-12-04T11:16:33.3072684Z [W1204 11:03:29.863812116 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3072694Z 2025-12-04T11:16:33.3073207Z [W1204 11:03:29.870914239 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3073211Z 2025-12-04T11:16:33.3073716Z [W1204 11:03:29.871541542 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3073720Z 2025-12-04T11:16:33.3074226Z [W1204 11:03:29.871730757 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3074242Z 2025-12-04T11:16:33.3074747Z [W1204 11:03:29.878441879 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3074752Z 2025-12-04T11:16:33.3075260Z [W1204 11:03:29.879042364 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3075269Z 2025-12-04T11:16:33.3075783Z [W1204 11:03:29.879220014 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3075788Z 2025-12-04T11:16:33.3076293Z [W1204 11:03:29.005628664 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3076298Z 2025-12-04T11:16:33.3076810Z [W1204 11:03:29.007088970 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3076816Z 2025-12-04T11:16:33.3077329Z [W1204 11:03:29.007288379 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3077334Z 2025-12-04T11:16:33.3077845Z [W1204 11:03:29.011083361 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3077849Z 2025-12-04T11:16:33.3078364Z [W1204 11:03:29.011691108 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3078369Z 2025-12-04T11:16:33.3078872Z [W1204 11:03:29.011876757 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3078883Z 2025-12-04T11:16:33.3079386Z [W1204 11:03:29.017640163 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3079391Z 2025-12-04T11:16:33.3079950Z [W1204 11:03:29.018245383 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3079955Z 2025-12-04T11:16:33.3080467Z [W1204 11:03:29.018431548 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3080472Z 2025-12-04T11:16:33.3080599Z ('RERUN', {'yellow': True}) [19.8239s] [100%] 2025-12-04T11:16:33.3081948Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:03:30.831975079 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3081954Z 2025-12-04T11:16:33.3082459Z [W1204 11:03:30.832638430 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3082464Z 2025-12-04T11:16:33.3082978Z [W1204 11:03:30.832832972 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3082982Z 2025-12-04T11:16:33.3083483Z [W1204 11:03:30.836643677 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3083488Z 2025-12-04T11:16:33.3084002Z [W1204 11:03:30.837244631 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3084011Z 2025-12-04T11:16:33.3084519Z [W1204 11:03:30.837431654 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3084524Z 2025-12-04T11:16:33.3085024Z [W1204 11:03:30.843317732 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3085036Z 2025-12-04T11:16:33.3085546Z [W1204 11:03:30.843902190 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3085550Z 2025-12-04T11:16:33.3086054Z [W1204 11:03:30.844081920 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3086059Z 2025-12-04T11:16:33.3086570Z [W1204 11:03:30.924291300 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3086578Z 2025-12-04T11:16:33.3087083Z [W1204 11:03:30.924885089 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3087088Z 2025-12-04T11:16:33.3087598Z [W1204 11:03:30.925072535 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3087603Z 2025-12-04T11:16:33.3088111Z [W1204 11:03:30.928783095 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3088116Z 2025-12-04T11:16:33.3088625Z [W1204 11:03:30.929363821 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3088630Z 2025-12-04T11:16:33.3089132Z [W1204 11:03:30.929548595 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3089141Z 2025-12-04T11:16:33.3089655Z [W1204 11:03:30.935338957 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3089659Z 2025-12-04T11:16:33.3090159Z [W1204 11:03:30.936092511 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3090164Z 2025-12-04T11:16:33.3090723Z [W1204 11:03:30.936279463 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3090738Z 2025-12-04T11:16:33.3090864Z ('RERUN', {'yellow': True}) [0.8788s] [100%] 2025-12-04T11:16:33.3092232Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:03:30.688993582 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3092306Z 2025-12-04T11:16:33.3092822Z [W1204 11:03:30.689651806 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3092827Z 2025-12-04T11:16:33.3093329Z [W1204 11:03:30.689842619 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3093334Z 2025-12-04T11:16:33.3093852Z [W1204 11:03:30.693606154 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3093857Z 2025-12-04T11:16:33.3094362Z [W1204 11:03:30.694193537 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3094367Z 2025-12-04T11:16:33.3094889Z [W1204 11:03:30.694375821 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3094898Z 2025-12-04T11:16:33.3095409Z [W1204 11:03:30.700200947 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3095413Z 2025-12-04T11:16:33.3095925Z [W1204 11:03:30.700783136 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3095943Z 2025-12-04T11:16:33.3096456Z [W1204 11:03:30.700963586 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3096460Z 2025-12-04T11:16:33.3096969Z [W1204 11:03:31.780469425 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3096974Z 2025-12-04T11:16:33.3097493Z [W1204 11:03:31.781062955 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3097502Z 2025-12-04T11:16:33.3098012Z [W1204 11:03:31.781252173 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3098017Z 2025-12-04T11:16:33.3098543Z [W1204 11:03:31.784947834 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3098548Z 2025-12-04T11:16:33.3099059Z [W1204 11:03:31.785524652 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3099067Z 2025-12-04T11:16:33.3099587Z [W1204 11:03:31.785713540 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3099592Z 2025-12-04T11:16:33.3100100Z [W1204 11:03:31.791456697 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3100110Z 2025-12-04T11:16:33.3100633Z [W1204 11:03:31.792193375 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3100638Z 2025-12-04T11:16:33.3101148Z [W1204 11:03:31.792380136 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3101153Z 2025-12-04T11:16:33.3101255Z FAILED [0.8541s] [100%] 2025-12-04T11:16:33.3101260Z 2025-12-04T11:16:33.3101418Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3101997Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3102136Z Traceback (most recent call last): 2025-12-04T11:16:33.3102652Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3102884Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3103423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3103590Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3104144Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3104354Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3104659Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3104670Z 2025-12-04T11:16:33.3104793Z Expected 1 but got 2. 2025-12-04T11:16:33.3104902Z Absolute difference: 1 2025-12-04T11:16:33.3105017Z Relative difference: 1.0 2025-12-04T11:16:33.3105022Z 2025-12-04T11:16:33.3105254Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3106176Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3106186Z 2025-12-04T11:16:33.3106475Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3106698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3106817Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3107732Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3107961Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3108078Z graph_break [] 2025-12-04T11:16:33.3108300Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3109515Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3109655Z if out == self.unknown_value: 2025-12-04T11:16:33.3110388Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3110506Z warnings.warn( 2025-12-04T11:16:33.3111237Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3111337Z warnings.warn( 2025-12-04T11:16:33.3111865Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3111987Z Traceback (most recent call last): 2025-12-04T11:16:33.3112496Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3112742Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3113201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3113377Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3113916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3114220Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3114371Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3114376Z 2025-12-04T11:16:33.3114483Z Expected 1 but got 2. 2025-12-04T11:16:33.3114604Z Absolute difference: 1 2025-12-04T11:16:33.3114716Z Relative difference: 1.0 2025-12-04T11:16:33.3114721Z 2025-12-04T11:16:33.3114935Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3115966Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3115972Z 2025-12-04T11:16:33.3116242Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3116473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3116586Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3117485Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3117725Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3117824Z graph_break [] 2025-12-04T11:16:33.3118039Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3119276Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3119393Z if out == self.unknown_value: 2025-12-04T11:16:33.3120138Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3120242Z warnings.warn( 2025-12-04T11:16:33.3120966Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3121081Z warnings.warn( 2025-12-04T11:16:33.3121300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3121431Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3121664Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3122563Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3122675Z graph_break [] 2025-12-04T11:16:33.3122889Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3123636Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3123737Z warnings.warn( 2025-12-04T11:16:33.3124463Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3124579Z warnings.warn( 2025-12-04T11:16:33.3124731Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3125249Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3125384Z Traceback (most recent call last): 2025-12-04T11:16:33.3125895Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3126137Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3126721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3126888Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3127442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3127648Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3127836Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3127855Z 2025-12-04T11:16:33.3127962Z Expected 1 but got 2. 2025-12-04T11:16:33.3128069Z Absolute difference: 1 2025-12-04T11:16:33.3128193Z Relative difference: 1.0 2025-12-04T11:16:33.3128198Z 2025-12-04T11:16:33.3128413Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3129338Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3129344Z 2025-12-04T11:16:33.3129626Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3129844Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3129972Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3130865Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3131193Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3131311Z graph_break [] 2025-12-04T11:16:33.3131528Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3132769Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3132887Z if out == self.unknown_value: 2025-12-04T11:16:33.3133619Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3133738Z warnings.warn( 2025-12-04T11:16:33.3134475Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3134593Z warnings.warn( 2025-12-04T11:16:33.3134811Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3134926Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3135171Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3136069Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3136167Z graph_break [] 2025-12-04T11:16:33.3136395Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3137126Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3137245Z warnings.warn( 2025-12-04T11:16:33.3137967Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3138067Z warnings.warn( 2025-12-04T11:16:33.3138294Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3138409Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3138700Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3139608Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('benchmarking.InductorBenchmarker.benchmark_gpu', 2), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2), ('pad_mm_bench', 1)] 2025-12-04T11:16:33.3139706Z graph_break [] 2025-12-04T11:16:33.3139935Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3140720Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3140820Z warnings.warn( 2025-12-04T11:16:33.3141556Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3141657Z warnings.warn( 2025-12-04T11:16:33.3142517Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-ff9ca122612ae2da.xml - 2025-12-04T11:16:33.3142689Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3143649Z FAILED [0.8541s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3143672Z 2025-12-04T11:16:33.3143779Z Expected 1 but got 2. 2025-12-04T11:16:33.3143887Z Absolute difference: 1 2025-12-04T11:16:33.3144011Z Relative difference: 1.0 2025-12-04T11:16:33.3144016Z 2025-12-04T11:16:33.3144233Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3145154Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3145160Z 2025-12-04T11:16:33.3145440Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3145620Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3145833Z ================== 1 failed, 10 deselected, 2 rerun in 21.59s ================== 2025-12-04T11:16:33.3145932Z Got exit code 1 2025-12-04T11:16:33.3146771Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3147197Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.3147644Z W1204 11:03:41.448000 91409 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3148325Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-3249e5094fe85d98.xml 2025-12-04T11:16:33.3148491Z ============================= test session starts ============================== 2025-12-04T11:16:33.3148843Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3148969Z cachedir: .pytest_cache 2025-12-04T11:16:33.3149490Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3149618Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3149738Z configfile: pytest.ini 2025-12-04T11:16:33.3150277Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3150499Z collecting ... collected 58 items / 2 deselected / 56 selected 2025-12-04T11:16:33.3150643Z stepcurrent: skipping 2 already run items. 2025-12-04T11:16:33.3150760Z Running 9 items in this shard 2025-12-04T11:16:33.3150822Z 2025-12-04T11:16:33.3151719Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 ('RERUN', {'yellow': True}) [4.1285s] [ 11%] 2025-12-04T11:16:33.3152597Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.8055s] [ 11%] 2025-12-04T11:16:33.3153456Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 FAILED [0.8085s] [ 11%] 2025-12-04T11:16:33.3153462Z 2025-12-04T11:16:33.3153601Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3154125Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3154253Z Traceback (most recent call last): 2025-12-04T11:16:33.3154768Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3155010Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3155477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3155646Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3156199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3156405Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3156555Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3156560Z 2025-12-04T11:16:33.3156666Z Expected 1 but got 2. 2025-12-04T11:16:33.3156772Z Absolute difference: 1 2025-12-04T11:16:33.3156901Z Relative difference: 1.0 2025-12-04T11:16:33.3156910Z 2025-12-04T11:16:33.3157124Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3158046Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3158064Z 2025-12-04T11:16:33.3158336Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3158554Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3158683Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3159218Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3159446Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3159557Z graph_break [] 2025-12-04T11:16:33.3159777Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3160528Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3160630Z warnings.warn( 2025-12-04T11:16:33.3161359Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3161478Z warnings.warn( 2025-12-04T11:16:33.3161991Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3162125Z Traceback (most recent call last): 2025-12-04T11:16:33.3162634Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3162865Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3163418Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3163583Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3164119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3164394Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3164528Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3164533Z 2025-12-04T11:16:33.3164650Z Expected 1 but got 2. 2025-12-04T11:16:33.3164758Z Absolute difference: 1 2025-12-04T11:16:33.3164869Z Relative difference: 1.0 2025-12-04T11:16:33.3164874Z 2025-12-04T11:16:33.3165098Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3166008Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3166014Z 2025-12-04T11:16:33.3166290Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3166503Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3166614Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3167150Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3167379Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3167474Z graph_break [] 2025-12-04T11:16:33.3167695Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3168428Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3168541Z warnings.warn( 2025-12-04T11:16:33.3169262Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3169356Z warnings.warn( 2025-12-04T11:16:33.3169582Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3169697Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3169959Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3170573Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3170671Z graph_break [] 2025-12-04T11:16:33.3170896Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3171726Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3171824Z warnings.warn( 2025-12-04T11:16:33.3172552Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3172646Z warnings.warn( 2025-12-04T11:16:33.3172795Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3173309Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3173428Z Traceback (most recent call last): 2025-12-04T11:16:33.3173943Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3174173Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3174707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3174878Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3175412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3175625Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3175756Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3175856Z 2025-12-04T11:16:33.3175958Z Expected 1 but got 2. 2025-12-04T11:16:33.3176071Z Absolute difference: 1 2025-12-04T11:16:33.3176179Z Relative difference: 1.0 2025-12-04T11:16:33.3176184Z 2025-12-04T11:16:33.3176406Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3177322Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3177328Z 2025-12-04T11:16:33.3177597Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3177823Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3177937Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3178473Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3178699Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3178797Z graph_break [] 2025-12-04T11:16:33.3179019Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3179750Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3179848Z warnings.warn( 2025-12-04T11:16:33.3180576Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3180675Z warnings.warn( 2025-12-04T11:16:33.3180896Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3181009Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3181232Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3181778Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3181874Z graph_break [] 2025-12-04T11:16:33.3182084Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3182821Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3182919Z warnings.warn( 2025-12-04T11:16:33.3183649Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3183744Z warnings.warn( 2025-12-04T11:16:33.3183955Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3184072Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3184300Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3184828Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3184922Z graph_break [] 2025-12-04T11:16:33.3185130Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3185924Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3186024Z warnings.warn( 2025-12-04T11:16:33.3186747Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3186851Z warnings.warn( 2025-12-04T11:16:33.3187684Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-3249e5094fe85d98.xml - 2025-12-04T11:16:33.3187913Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3188860Z FAILED [0.8085s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3188865Z 2025-12-04T11:16:33.3188966Z Expected 1 but got 2. 2025-12-04T11:16:33.3189078Z Absolute difference: 1 2025-12-04T11:16:33.3189189Z Relative difference: 1.0 2025-12-04T11:16:33.3189194Z 2025-12-04T11:16:33.3189411Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3190326Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3190336Z 2025-12-04T11:16:33.3190596Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3190780Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3190970Z =================== 1 failed, 2 deselected, 2 rerun in 5.77s =================== 2025-12-04T11:16:33.3191076Z Got exit code 1 2025-12-04T11:16:33.3191181Z Retrying single test... 2025-12-04T11:16:33.3191622Z W1204 11:04:00.934000 91586 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3192296Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-9c4b189bd59723c6.xml 2025-12-04T11:16:33.3192454Z ============================= test session starts ============================== 2025-12-04T11:16:33.3192800Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3192918Z cachedir: .pytest_cache 2025-12-04T11:16:33.3193440Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3193570Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3193674Z configfile: pytest.ini 2025-12-04T11:16:33.3194211Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3194435Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.3195438Z stepcurrent: skipping 2 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3195562Z Running 1 items in this shard 2025-12-04T11:16:33.3195567Z 2025-12-04T11:16:33.3196852Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:04:04.669012944 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3196862Z 2025-12-04T11:16:33.3197389Z [W1204 11:04:20.425320667 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3197395Z 2025-12-04T11:16:33.3197909Z [W1204 11:04:20.425619125 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3197973Z 2025-12-04T11:16:33.3198480Z [W1204 11:04:20.433178101 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3198485Z 2025-12-04T11:16:33.3199005Z [W1204 11:04:20.433897295 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3199065Z 2025-12-04T11:16:33.3199570Z [W1204 11:04:20.434091723 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3199575Z 2025-12-04T11:16:33.3200089Z [W1204 11:04:20.441074153 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3200094Z 2025-12-04T11:16:33.3200599Z [W1204 11:04:20.441715721 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3200604Z 2025-12-04T11:16:33.3201121Z [W1204 11:04:20.441901839 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3201126Z 2025-12-04T11:16:33.3201636Z [W1204 11:04:22.437717099 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3201641Z 2025-12-04T11:16:33.3202156Z [W1204 11:04:22.439406825 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3202161Z 2025-12-04T11:16:33.3202669Z [W1204 11:04:22.439617136 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3202673Z 2025-12-04T11:16:33.3203180Z [W1204 11:04:22.443543273 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3203194Z 2025-12-04T11:16:33.3203699Z [W1204 11:04:22.444170474 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3203704Z 2025-12-04T11:16:33.3204210Z [W1204 11:04:22.444366213 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3204215Z 2025-12-04T11:16:33.3204865Z [W1204 11:04:22.450422724 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3204875Z 2025-12-04T11:16:33.3205383Z [W1204 11:04:22.451047203 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3205388Z 2025-12-04T11:16:33.3205907Z [W1204 11:04:22.451239604 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3205911Z 2025-12-04T11:16:33.3206046Z ('RERUN', {'yellow': True}) [20.0346s] [100%] 2025-12-04T11:16:33.3207344Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:04:23.265885130 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3207351Z 2025-12-04T11:16:33.3207857Z [W1204 11:04:23.266628527 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3207866Z 2025-12-04T11:16:33.3208382Z [W1204 11:04:23.266844297 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3208387Z 2025-12-04T11:16:33.3208895Z [W1204 11:04:23.270779513 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3208900Z 2025-12-04T11:16:33.3209524Z [W1204 11:04:23.271567513 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3209540Z 2025-12-04T11:16:33.3210046Z [W1204 11:04:23.271758573 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3210050Z 2025-12-04T11:16:33.3210562Z [W1204 11:04:23.277789511 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3210639Z 2025-12-04T11:16:33.3211270Z [W1204 11:04:23.278413585 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3215382Z 2025-12-04T11:16:33.3215934Z [W1204 11:04:23.278601260 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3215939Z 2025-12-04T11:16:33.3216474Z [W1204 11:04:23.364605785 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3216479Z 2025-12-04T11:16:33.3216989Z [W1204 11:04:23.365337393 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3216994Z 2025-12-04T11:16:33.3217506Z [W1204 11:04:23.365543506 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3217518Z 2025-12-04T11:16:33.3218032Z [W1204 11:04:23.369431028 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3218037Z 2025-12-04T11:16:33.3218577Z [W1204 11:04:23.370059685 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3218582Z 2025-12-04T11:16:33.3219102Z [W1204 11:04:23.370258705 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3219107Z 2025-12-04T11:16:33.3219615Z [W1204 11:04:23.376283541 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3219620Z 2025-12-04T11:16:33.3220130Z [W1204 11:04:23.377058727 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3220137Z 2025-12-04T11:16:33.3220644Z [W1204 11:04:23.377252393 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3220648Z 2025-12-04T11:16:33.3220778Z ('RERUN', {'yellow': True}) [0.8868s] [100%] 2025-12-04T11:16:33.3222095Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:04:24.124897126 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3222101Z 2025-12-04T11:16:33.3222612Z [W1204 11:04:24.125628047 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3222616Z 2025-12-04T11:16:33.3223135Z [W1204 11:04:24.125830791 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3223143Z 2025-12-04T11:16:33.3223651Z [W1204 11:04:24.129701041 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3223656Z 2025-12-04T11:16:33.3224171Z [W1204 11:04:24.130349288 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3224179Z 2025-12-04T11:16:33.3224778Z [W1204 11:04:24.130544869 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3224784Z 2025-12-04T11:16:33.3225301Z [W1204 11:04:24.136513821 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3225306Z 2025-12-04T11:16:33.3225815Z [W1204 11:04:24.137112066 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3225854Z 2025-12-04T11:16:33.3226371Z [W1204 11:04:24.137299839 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3226375Z 2025-12-04T11:16:33.3226880Z [W1204 11:04:24.220489550 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3226941Z 2025-12-04T11:16:33.3227453Z [W1204 11:04:24.221137969 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3227458Z 2025-12-04T11:16:33.3227972Z [W1204 11:04:24.221334139 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3227977Z 2025-12-04T11:16:33.3228477Z [W1204 11:04:24.225163397 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3228484Z 2025-12-04T11:16:33.3228996Z [W1204 11:04:24.225758075 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3229001Z 2025-12-04T11:16:33.3229508Z [W1204 11:04:24.225957350 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3229516Z 2025-12-04T11:16:33.3230026Z [W1204 11:04:24.231892665 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3230035Z 2025-12-04T11:16:33.3230540Z [W1204 11:04:24.232647819 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3230544Z 2025-12-04T11:16:33.3231055Z [W1204 11:04:24.232840470 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3231060Z 2025-12-04T11:16:33.3231161Z FAILED [0.8523s] [100%] 2025-12-04T11:16:33.3231166Z 2025-12-04T11:16:33.3231308Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3231831Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3231956Z Traceback (most recent call last): 2025-12-04T11:16:33.3232478Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3232705Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3233168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3233341Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3233875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3234080Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3234221Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3234227Z 2025-12-04T11:16:33.3234327Z Expected 1 but got 2. 2025-12-04T11:16:33.3234441Z Absolute difference: 1 2025-12-04T11:16:33.3234547Z Relative difference: 1.0 2025-12-04T11:16:33.3234552Z 2025-12-04T11:16:33.3234763Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3235747Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3235755Z 2025-12-04T11:16:33.3236019Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3236248Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3236361Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3236923Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3237156Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3237252Z graph_break [] 2025-12-04T11:16:33.3237511Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3238735Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3238846Z if out == self.unknown_value: 2025-12-04T11:16:33.3239581Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3239678Z warnings.warn( 2025-12-04T11:16:33.3240400Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3240506Z warnings.warn( 2025-12-04T11:16:33.3241023Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3241150Z Traceback (most recent call last): 2025-12-04T11:16:33.3241658Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3241889Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3242354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3242516Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3243059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3243266Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3243398Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3243403Z 2025-12-04T11:16:33.3243516Z Expected 1 but got 2. 2025-12-04T11:16:33.3243621Z Absolute difference: 1 2025-12-04T11:16:33.3243728Z Relative difference: 1.0 2025-12-04T11:16:33.3243733Z 2025-12-04T11:16:33.3243954Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3244878Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3244884Z 2025-12-04T11:16:33.3245158Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3245379Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3245497Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3246038Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3246261Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3246373Z graph_break [] 2025-12-04T11:16:33.3246587Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3247864Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3247991Z if out == self.unknown_value: 2025-12-04T11:16:33.3248725Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3248878Z warnings.warn( 2025-12-04T11:16:33.3249602Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3249699Z warnings.warn( 2025-12-04T11:16:33.3249921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3250069Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3250295Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3250837Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3250936Z graph_break [] 2025-12-04T11:16:33.3251306Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3252036Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3252140Z warnings.warn( 2025-12-04T11:16:33.3252874Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3252973Z warnings.warn( 2025-12-04T11:16:33.3253115Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3253641Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3253762Z Traceback (most recent call last): 2025-12-04T11:16:33.3254285Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3254511Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3254968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3255139Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3255671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3255883Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3256013Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3256019Z 2025-12-04T11:16:33.3256120Z Expected 1 but got 2. 2025-12-04T11:16:33.3256237Z Absolute difference: 1 2025-12-04T11:16:33.3256345Z Relative difference: 1.0 2025-12-04T11:16:33.3256350Z 2025-12-04T11:16:33.3256559Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3257480Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3257488Z 2025-12-04T11:16:33.3257748Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3257973Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3258085Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3258616Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3258854Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3258948Z graph_break [] 2025-12-04T11:16:33.3259233Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3260446Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3260585Z if out == self.unknown_value: 2025-12-04T11:16:33.3261312Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3261409Z warnings.warn( 2025-12-04T11:16:33.3262132Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3262261Z warnings.warn( 2025-12-04T11:16:33.3262475Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3262593Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3262814Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3263344Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3263447Z graph_break [] 2025-12-04T11:16:33.3263661Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3264390Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3264491Z warnings.warn( 2025-12-04T11:16:33.3265208Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3265310Z warnings.warn( 2025-12-04T11:16:33.3265529Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3265640Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3265869Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3266393Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3266496Z graph_break [] 2025-12-04T11:16:33.3266704Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3267426Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3267532Z warnings.warn( 2025-12-04T11:16:33.3268254Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3268357Z warnings.warn( 2025-12-04T11:16:33.3269194Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-9c4b189bd59723c6.xml - 2025-12-04T11:16:33.3269365Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3270324Z FAILED [0.8523s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3270333Z 2025-12-04T11:16:33.3270436Z Expected 1 but got 2. 2025-12-04T11:16:33.3270551Z Absolute difference: 1 2025-12-04T11:16:33.3270657Z Relative difference: 1.0 2025-12-04T11:16:33.3270662Z 2025-12-04T11:16:33.3270871Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3271851Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3271857Z 2025-12-04T11:16:33.3272118Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3272309Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3272536Z ================== 1 failed, 10 deselected, 2 rerun in 21.81s ================== 2025-12-04T11:16:33.3272632Z Got exit code 1 2025-12-04T11:16:33.3272749Z Retrying single test... 2025-12-04T11:16:33.3273195Z W1204 11:04:35.630000 91768 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3273892Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-723961ef6038fe24.xml 2025-12-04T11:16:33.3274068Z ============================= test session starts ============================== 2025-12-04T11:16:33.3274416Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3274536Z cachedir: .pytest_cache 2025-12-04T11:16:33.3275055Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3275174Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3275295Z configfile: pytest.ini 2025-12-04T11:16:33.3275832Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3276047Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.3277048Z stepcurrent: skipping 2 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3277163Z Running 1 items in this shard 2025-12-04T11:16:33.3277168Z 2025-12-04T11:16:33.3278471Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:04:39.394322363 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3278477Z 2025-12-04T11:16:33.3278997Z [W1204 11:04:54.338755987 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3279002Z 2025-12-04T11:16:33.3279521Z [W1204 11:04:54.339013491 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3279528Z 2025-12-04T11:16:33.3280040Z [W1204 11:04:54.346435875 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3280046Z 2025-12-04T11:16:33.3280564Z [W1204 11:04:54.347149804 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3280569Z 2025-12-04T11:16:33.3281078Z [W1204 11:04:54.347338852 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3281083Z 2025-12-04T11:16:33.3281601Z [W1204 11:04:54.354319582 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3281606Z 2025-12-04T11:16:33.3282113Z [W1204 11:04:54.354968214 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3282120Z 2025-12-04T11:16:33.3282624Z [W1204 11:04:54.355156241 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3282637Z 2025-12-04T11:16:33.3283200Z [W1204 11:04:56.351886600 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3283205Z 2025-12-04T11:16:33.3283722Z [W1204 11:04:56.353570203 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3283727Z 2025-12-04T11:16:33.3284239Z [W1204 11:04:56.353774815 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3284273Z 2025-12-04T11:16:33.3284782Z [W1204 11:04:56.357667758 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3284819Z 2025-12-04T11:16:33.3285339Z [W1204 11:04:56.358291742 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3285344Z 2025-12-04T11:16:33.3285854Z [W1204 11:04:56.358484596 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3285859Z 2025-12-04T11:16:33.3286378Z [W1204 11:04:56.364599243 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3286382Z 2025-12-04T11:16:33.3286887Z [W1204 11:04:56.365227577 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3286894Z 2025-12-04T11:16:33.3287396Z [W1204 11:04:56.365418680 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3287410Z 2025-12-04T11:16:33.3287542Z ('RERUN', {'yellow': True}) [19.2436s] [100%] 2025-12-04T11:16:33.3288834Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:04:57.181324921 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3288841Z 2025-12-04T11:16:33.3289360Z [W1204 11:04:57.182065545 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3289365Z 2025-12-04T11:16:33.3289869Z [W1204 11:04:57.182269821 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3289876Z 2025-12-04T11:16:33.3290387Z [W1204 11:04:57.186193613 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3290391Z 2025-12-04T11:16:33.3290899Z [W1204 11:04:57.186978977 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3290904Z 2025-12-04T11:16:33.3291549Z [W1204 11:04:57.187170249 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3291555Z 2025-12-04T11:16:33.3292060Z [W1204 11:04:57.193234735 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3292065Z 2025-12-04T11:16:33.3292580Z [W1204 11:04:57.193849455 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3292587Z 2025-12-04T11:16:33.3293093Z [W1204 11:04:57.194038088 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3293098Z 2025-12-04T11:16:33.3293603Z [W1204 11:04:57.279097225 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3293623Z 2025-12-04T11:16:33.3294209Z [W1204 11:04:57.279807492 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3294215Z 2025-12-04T11:16:33.3294721Z [W1204 11:04:57.280034782 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3294726Z 2025-12-04T11:16:33.3295243Z [W1204 11:04:57.283970660 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3295277Z 2025-12-04T11:16:33.3295784Z [W1204 11:04:57.284586390 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3295789Z 2025-12-04T11:16:33.3296303Z [W1204 11:04:57.284780139 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3296340Z 2025-12-04T11:16:33.3296853Z [W1204 11:04:57.290869107 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3296858Z 2025-12-04T11:16:33.3297375Z [W1204 11:04:57.291652561 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3297380Z 2025-12-04T11:16:33.3297886Z [W1204 11:04:57.291846197 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3297893Z 2025-12-04T11:16:33.3298024Z ('RERUN', {'yellow': True}) [0.8870s] [100%] 2025-12-04T11:16:33.3299319Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 [W1204 11:04:58.052547712 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3299327Z 2025-12-04T11:16:33.3299842Z [W1204 11:04:58.053270804 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3299846Z 2025-12-04T11:16:33.3300365Z [W1204 11:04:58.053470322 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3300370Z 2025-12-04T11:16:33.3300880Z [W1204 11:04:58.057385371 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3300887Z 2025-12-04T11:16:33.3301404Z [W1204 11:04:58.057998721 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3301409Z 2025-12-04T11:16:33.3301914Z [W1204 11:04:58.058188404 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3301922Z 2025-12-04T11:16:33.3302438Z [W1204 11:04:58.064276174 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3302447Z 2025-12-04T11:16:33.3302951Z [W1204 11:04:58.064888708 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3302956Z 2025-12-04T11:16:33.3303470Z [W1204 11:04:58.065075541 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3303477Z 2025-12-04T11:16:33.3303986Z [W1204 11:04:58.150761008 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3303990Z 2025-12-04T11:16:33.3304657Z [W1204 11:04:58.151488263 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3304675Z 2025-12-04T11:16:33.3305184Z [W1204 11:04:58.151693625 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3305189Z 2025-12-04T11:16:33.3305819Z [W1204 11:04:58.155608817 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3305825Z 2025-12-04T11:16:33.3306340Z [W1204 11:04:58.156237278 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3306345Z 2025-12-04T11:16:33.3306892Z [W1204 11:04:58.156432797 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3306896Z 2025-12-04T11:16:33.3307406Z [W1204 11:04:58.162462914 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3307530Z 2025-12-04T11:16:33.3308037Z [W1204 11:04:58.163259706 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3308041Z 2025-12-04T11:16:33.3308558Z [W1204 11:04:58.163453767 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3308563Z 2025-12-04T11:16:33.3308662Z FAILED [0.8700s] [100%] 2025-12-04T11:16:33.3308667Z 2025-12-04T11:16:33.3308806Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3309326Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3309448Z Traceback (most recent call last): 2025-12-04T11:16:33.3309969Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3310195Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3310654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3310823Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3311357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3311572Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3311700Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3311705Z 2025-12-04T11:16:33.3311806Z Expected 1 but got 2. 2025-12-04T11:16:33.3311924Z Absolute difference: 1 2025-12-04T11:16:33.3312030Z Relative difference: 1.0 2025-12-04T11:16:33.3312035Z 2025-12-04T11:16:33.3312245Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3313175Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3313183Z 2025-12-04T11:16:33.3313451Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3313677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3313789Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3314325Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3314561Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3314662Z graph_break [] 2025-12-04T11:16:33.3314892Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3316105Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3316222Z if out == self.unknown_value: 2025-12-04T11:16:33.3317023Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3317125Z warnings.warn( 2025-12-04T11:16:33.3317859Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3317958Z warnings.warn( 2025-12-04T11:16:33.3318498Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3318631Z Traceback (most recent call last): 2025-12-04T11:16:33.3319136Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3319396Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3319866Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3320028Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3320572Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3320775Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3320907Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3320915Z 2025-12-04T11:16:33.3321034Z Expected 1 but got 2. 2025-12-04T11:16:33.3321142Z Absolute difference: 1 2025-12-04T11:16:33.3321249Z Relative difference: 1.0 2025-12-04T11:16:33.3321266Z 2025-12-04T11:16:33.3321479Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3322391Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3322400Z 2025-12-04T11:16:33.3322683Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3322901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3323013Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3323557Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3323786Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3323890Z graph_break [] 2025-12-04T11:16:33.3324105Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3325314Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3325442Z if out == self.unknown_value: 2025-12-04T11:16:33.3326175Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3326280Z warnings.warn( 2025-12-04T11:16:33.3326999Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3327099Z warnings.warn( 2025-12-04T11:16:33.3327320Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3327431Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3327655Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3328199Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3328295Z graph_break [] 2025-12-04T11:16:33.3328571Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3329295Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3329391Z warnings.warn( 2025-12-04T11:16:33.3330120Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3330250Z warnings.warn( 2025-12-04T11:16:33.3330401Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3330911Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3331149Z Traceback (most recent call last): 2025-12-04T11:16:33.3331669Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3331899Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3332356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3332525Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3333060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3333274Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3333400Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3333405Z 2025-12-04T11:16:33.3333512Z Expected 1 but got 2. 2025-12-04T11:16:33.3333624Z Absolute difference: 1 2025-12-04T11:16:33.3333732Z Relative difference: 1.0 2025-12-04T11:16:33.3333737Z 2025-12-04T11:16:33.3333962Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3334878Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3334884Z 2025-12-04T11:16:33.3335146Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3335373Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3335486Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3336029Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3336250Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3336349Z graph_break [] 2025-12-04T11:16:33.3336575Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3337781Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3337895Z if out == self.unknown_value: 2025-12-04T11:16:33.3338630Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3338730Z warnings.warn( 2025-12-04T11:16:33.3339459Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3339557Z warnings.warn( 2025-12-04T11:16:33.3339768Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3339891Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3340113Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3340733Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3340830Z graph_break [] 2025-12-04T11:16:33.3341038Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3341771Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3341900Z warnings.warn( 2025-12-04T11:16:33.3342619Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3342761Z warnings.warn( 2025-12-04T11:16:33.3342975Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3343096Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3343325Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3343853Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3343961Z graph_break [] 2025-12-04T11:16:33.3344176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3344899Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3345006Z warnings.warn( 2025-12-04T11:16:33.3345727Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3345835Z warnings.warn( 2025-12-04T11:16:33.3346677Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-723961ef6038fe24.xml - 2025-12-04T11:16:33.3346847Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3347806Z FAILED [0.8700s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3347811Z 2025-12-04T11:16:33.3347917Z Expected 1 but got 2. 2025-12-04T11:16:33.3348031Z Absolute difference: 1 2025-12-04T11:16:33.3348138Z Relative difference: 1.0 2025-12-04T11:16:33.3348143Z 2025-12-04T11:16:33.3348354Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3349277Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3349285Z 2025-12-04T11:16:33.3349553Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3349741Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3349936Z ================== 1 failed, 10 deselected, 2 rerun in 21.03s ================== 2025-12-04T11:16:33.3350036Z Got exit code 1 2025-12-04T11:16:33.3350868Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3351281Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.3351734Z W1204 11:05:09.484000 91950 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3352401Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-c423dea92ce5c0b6.xml 2025-12-04T11:16:33.3352620Z ============================= test session starts ============================== 2025-12-04T11:16:33.3352977Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3353085Z cachedir: .pytest_cache 2025-12-04T11:16:33.3353616Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3354007Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3354113Z configfile: pytest.ini 2025-12-04T11:16:33.3354668Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3354877Z collecting ... collected 58 items / 3 deselected / 55 selected 2025-12-04T11:16:33.3355057Z stepcurrent: skipping 3 already run items. 2025-12-04T11:16:33.3355180Z Running 8 items in this shard 2025-12-04T11:16:33.3355185Z 2025-12-04T11:16:33.3356053Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [3.7920s] [ 12%] 2025-12-04T11:16:33.3356913Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.3924s] [ 12%] 2025-12-04T11:16:33.3357685Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 FAILED [0.3897s] [ 12%] 2025-12-04T11:16:33.3357691Z 2025-12-04T11:16:33.3357839Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3358337Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3358453Z Traceback (most recent call last): 2025-12-04T11:16:33.3358978Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3359206Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3359667Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3359839Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3360373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3360585Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3360715Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3360722Z 2025-12-04T11:16:33.3360824Z Expected 1 but got 2. 2025-12-04T11:16:33.3360942Z Absolute difference: 1 2025-12-04T11:16:33.3361050Z Relative difference: 1.0 2025-12-04T11:16:33.3361055Z 2025-12-04T11:16:33.3361272Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3362186Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3362192Z 2025-12-04T11:16:33.3362455Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3362682Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3362794Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3363322Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3363560Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3363656Z graph_break [] 2025-12-04T11:16:33.3363875Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3364672Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3364774Z warnings.warn( 2025-12-04T11:16:33.3365510Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3365637Z warnings.warn( 2025-12-04T11:16:33.3366153Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3366271Z Traceback (most recent call last): 2025-12-04T11:16:33.3366779Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3367057Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3367521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3367679Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3368225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3368428Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3368565Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3368572Z 2025-12-04T11:16:33.3368677Z Expected 1 but got 2. 2025-12-04T11:16:33.3368779Z Absolute difference: 1 2025-12-04T11:16:33.3368893Z Relative difference: 1.0 2025-12-04T11:16:33.3368898Z 2025-12-04T11:16:33.3369110Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3370021Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3370026Z 2025-12-04T11:16:33.3370298Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3370511Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3370631Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3371259Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3371497Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3371596Z graph_break [] 2025-12-04T11:16:33.3371809Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3372552Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3372655Z warnings.warn( 2025-12-04T11:16:33.3373382Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3373491Z warnings.warn( 2025-12-04T11:16:33.3373702Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3373824Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3374050Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3374580Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3374683Z graph_break [] 2025-12-04T11:16:33.3374891Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3375615Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3375722Z warnings.warn( 2025-12-04T11:16:33.3376502Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3376613Z warnings.warn( 2025-12-04T11:16:33.3376756Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3377256Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3377418Z Traceback (most recent call last): 2025-12-04T11:16:33.3377923Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3378152Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3378669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3378830Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3379385Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3379586Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3379716Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3379721Z 2025-12-04T11:16:33.3379833Z Expected 1 but got 2. 2025-12-04T11:16:33.3379939Z Absolute difference: 1 2025-12-04T11:16:33.3380060Z Relative difference: 1.0 2025-12-04T11:16:33.3380066Z 2025-12-04T11:16:33.3380279Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3381182Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3381190Z 2025-12-04T11:16:33.3381463Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3381687Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3381814Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3382344Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3382570Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3382682Z graph_break [] 2025-12-04T11:16:33.3382894Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3383630Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3383741Z warnings.warn( 2025-12-04T11:16:33.3384464Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3384575Z warnings.warn( 2025-12-04T11:16:33.3384788Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3384903Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3385134Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3385665Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3385763Z graph_break [] 2025-12-04T11:16:33.3385983Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3386712Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3386817Z warnings.warn( 2025-12-04T11:16:33.3387593Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3387693Z warnings.warn( 2025-12-04T11:16:33.3387912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3388025Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3388253Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3388781Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3388911Z graph_break [] 2025-12-04T11:16:33.3389130Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3389854Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3389980Z warnings.warn( 2025-12-04T11:16:33.3390712Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3390807Z warnings.warn( 2025-12-04T11:16:33.3391657Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-c423dea92ce5c0b6.xml - 2025-12-04T11:16:33.3391826Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3392762Z FAILED [0.3897s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3392783Z 2025-12-04T11:16:33.3392887Z Expected 1 but got 2. 2025-12-04T11:16:33.3392996Z Absolute difference: 1 2025-12-04T11:16:33.3393109Z Relative difference: 1.0 2025-12-04T11:16:33.3393115Z 2025-12-04T11:16:33.3393332Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3394231Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3394236Z 2025-12-04T11:16:33.3394509Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3394688Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3394887Z =================== 1 failed, 3 deselected, 2 rerun in 4.61s =================== 2025-12-04T11:16:33.3394982Z Got exit code 1 2025-12-04T11:16:33.3395082Z Retrying single test... 2025-12-04T11:16:33.3395535Z W1204 11:05:29.060000 92119 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3396206Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-e39fd3ee26241093.xml 2025-12-04T11:16:33.3396365Z ============================= test session starts ============================== 2025-12-04T11:16:33.3396722Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3396825Z cachedir: .pytest_cache 2025-12-04T11:16:33.3397353Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3397476Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3397579Z configfile: pytest.ini 2025-12-04T11:16:33.3398129Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3398345Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.3399395Z stepcurrent: skipping 3 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3399508Z Running 1 items in this shard 2025-12-04T11:16:33.3399513Z 2025-12-04T11:16:33.3400786Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:05:32.361104552 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3400833Z 2025-12-04T11:16:33.3401353Z [W1204 11:05:48.985482527 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3401358Z 2025-12-04T11:16:33.3401866Z [W1204 11:05:48.985747940 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3401901Z 2025-12-04T11:16:33.3402422Z [W1204 11:05:48.992998457 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3402427Z 2025-12-04T11:16:33.3402933Z [W1204 11:05:48.993673260 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3402937Z 2025-12-04T11:16:33.3403452Z [W1204 11:05:48.993861622 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3403459Z 2025-12-04T11:16:33.3403964Z [W1204 11:05:48.000673135 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3403969Z 2025-12-04T11:16:33.3404645Z [W1204 11:05:48.001302623 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3404653Z 2025-12-04T11:16:33.3405167Z [W1204 11:05:48.001488501 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3405172Z 2025-12-04T11:16:33.3405692Z [W1204 11:05:50.010157375 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3405696Z 2025-12-04T11:16:33.3406207Z [W1204 11:05:50.011815710 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3406214Z 2025-12-04T11:16:33.3406723Z [W1204 11:05:50.012035010 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3406728Z 2025-12-04T11:16:33.3407239Z [W1204 11:05:50.015868673 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3407246Z 2025-12-04T11:16:33.3407754Z [W1204 11:05:50.016503534 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3407763Z 2025-12-04T11:16:33.3408281Z [W1204 11:05:50.016700450 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3408286Z 2025-12-04T11:16:33.3408795Z [W1204 11:05:50.022677806 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3408802Z 2025-12-04T11:16:33.3409322Z [W1204 11:05:50.023295192 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3409327Z 2025-12-04T11:16:33.3409838Z [W1204 11:05:50.023488548 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3409846Z 2025-12-04T11:16:33.3409985Z ('RERUN', {'yellow': True}) [19.4832s] [100%] 2025-12-04T11:16:33.3411469Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:05:50.359951782 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3411477Z 2025-12-04T11:16:33.3411997Z [W1204 11:05:50.360697508 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3412050Z 2025-12-04T11:16:33.3412560Z [W1204 11:05:50.360907145 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3412564Z 2025-12-04T11:16:33.3413075Z [W1204 11:05:50.364724497 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3413138Z 2025-12-04T11:16:33.3413659Z [W1204 11:05:50.365479255 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3413668Z 2025-12-04T11:16:33.3414179Z [W1204 11:05:50.365669745 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3414184Z 2025-12-04T11:16:33.3414710Z [W1204 11:05:50.371557718 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3414715Z 2025-12-04T11:16:33.3415227Z [W1204 11:05:50.372167227 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3415232Z 2025-12-04T11:16:33.3415756Z [W1204 11:05:50.372356938 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3415763Z 2025-12-04T11:16:33.3416271Z [W1204 11:05:50.454929269 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3416275Z 2025-12-04T11:16:33.3416796Z [W1204 11:05:50.455582275 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3416801Z 2025-12-04T11:16:33.3417309Z [W1204 11:05:50.455782546 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3417314Z 2025-12-04T11:16:33.3417821Z [W1204 11:05:50.459553545 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3417838Z 2025-12-04T11:16:33.3418350Z [W1204 11:05:50.460173801 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3418357Z 2025-12-04T11:16:33.3418869Z [W1204 11:05:50.460373692 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3418873Z 2025-12-04T11:16:33.3419396Z [W1204 11:05:50.466223188 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3419400Z 2025-12-04T11:16:33.3419908Z [W1204 11:05:50.466996174 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3419913Z 2025-12-04T11:16:33.3420432Z [W1204 11:05:50.467188773 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3420439Z 2025-12-04T11:16:33.3420568Z ('RERUN', {'yellow': True}) [0.4045s] [100%] 2025-12-04T11:16:33.3421853Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:05:50.741929107 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3421860Z 2025-12-04T11:16:33.3422434Z [W1204 11:05:50.742635067 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3422439Z 2025-12-04T11:16:33.3422957Z [W1204 11:05:50.742847878 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3422962Z 2025-12-04T11:16:33.3423469Z [W1204 11:05:50.746636263 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3423516Z 2025-12-04T11:16:33.3424025Z [W1204 11:05:50.747401411 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3424061Z 2025-12-04T11:16:33.3424576Z [W1204 11:05:50.747591126 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3424581Z 2025-12-04T11:16:33.3425093Z [W1204 11:05:50.753463385 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3425098Z 2025-12-04T11:16:33.3425611Z [W1204 11:05:50.754066141 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3425615Z 2025-12-04T11:16:33.3426124Z [W1204 11:05:50.754252849 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3426130Z 2025-12-04T11:16:33.3426643Z [W1204 11:05:51.835745991 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3426648Z 2025-12-04T11:16:33.3427156Z [W1204 11:05:51.836377103 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3427161Z 2025-12-04T11:16:33.3427683Z [W1204 11:05:51.836574535 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3427687Z 2025-12-04T11:16:33.3428192Z [W1204 11:05:51.840397487 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3428197Z 2025-12-04T11:16:33.3428710Z [W1204 11:05:51.841003553 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3428726Z 2025-12-04T11:16:33.3429228Z [W1204 11:05:51.841197545 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3429233Z 2025-12-04T11:16:33.3429742Z [W1204 11:05:51.847066661 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3429749Z 2025-12-04T11:16:33.3430270Z [W1204 11:05:51.847830725 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3430274Z 2025-12-04T11:16:33.3430783Z [W1204 11:05:51.848024221 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3430788Z 2025-12-04T11:16:33.3430899Z FAILED [0.3786s] [100%] 2025-12-04T11:16:33.3430903Z 2025-12-04T11:16:33.3431040Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3431561Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3431679Z Traceback (most recent call last): 2025-12-04T11:16:33.3432192Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3432439Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3432959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3433124Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3433675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3433877Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3434021Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3434055Z 2025-12-04T11:16:33.3434159Z Expected 1 but got 2. 2025-12-04T11:16:33.3434264Z Absolute difference: 1 2025-12-04T11:16:33.3434380Z Relative difference: 1.0 2025-12-04T11:16:33.3434385Z 2025-12-04T11:16:33.3434596Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3435530Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3435547Z 2025-12-04T11:16:33.3435817Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3436031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3436151Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3436683Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3436908Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3437013Z graph_break [] 2025-12-04T11:16:33.3437226Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3438452Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3438575Z if out == self.unknown_value: 2025-12-04T11:16:33.3439305Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3439410Z warnings.warn( 2025-12-04T11:16:33.3440131Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3440235Z warnings.warn( 2025-12-04T11:16:33.3440735Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3440854Z Traceback (most recent call last): 2025-12-04T11:16:33.3441373Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3441601Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3442063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3442233Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3442772Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3442983Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3443117Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3443122Z 2025-12-04T11:16:33.3443226Z Expected 1 but got 2. 2025-12-04T11:16:33.3443338Z Absolute difference: 1 2025-12-04T11:16:33.3443442Z Relative difference: 1.0 2025-12-04T11:16:33.3443448Z 2025-12-04T11:16:33.3443664Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3444626Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3444632Z 2025-12-04T11:16:33.3444898Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3445121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3445234Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3445770Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3446022Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3446120Z graph_break [] 2025-12-04T11:16:33.3446351Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3447598Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3447716Z if out == self.unknown_value: 2025-12-04T11:16:33.3448456Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3448556Z warnings.warn( 2025-12-04T11:16:33.3449300Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3449400Z warnings.warn( 2025-12-04T11:16:33.3449615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3449740Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3449974Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3450517Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3450615Z graph_break [] 2025-12-04T11:16:33.3450831Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3451680Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3451783Z warnings.warn( 2025-12-04T11:16:33.3452504Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3452619Z warnings.warn( 2025-12-04T11:16:33.3452763Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3453279Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3453400Z Traceback (most recent call last): 2025-12-04T11:16:33.3453912Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3454156Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3454616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3454793Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3455332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3455539Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3455680Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3455686Z 2025-12-04T11:16:33.3455792Z Expected 1 but got 2. 2025-12-04T11:16:33.3455900Z Absolute difference: 1 2025-12-04T11:16:33.3456016Z Relative difference: 1.0 2025-12-04T11:16:33.3456021Z 2025-12-04T11:16:33.3456233Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3457210Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3457216Z 2025-12-04T11:16:33.3457483Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3457700Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3457854Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3458390Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3458657Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3458754Z graph_break [] 2025-12-04T11:16:33.3458967Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3460305Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3460421Z if out == self.unknown_value: 2025-12-04T11:16:33.3461147Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3461258Z warnings.warn( 2025-12-04T11:16:33.3461973Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3462082Z warnings.warn( 2025-12-04T11:16:33.3462297Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3462409Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3462645Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3463175Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3463280Z graph_break [] 2025-12-04T11:16:33.3463495Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3464218Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3464328Z warnings.warn( 2025-12-04T11:16:33.3465052Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3465148Z warnings.warn( 2025-12-04T11:16:33.3465362Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3465471Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3465710Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3466235Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3466328Z graph_break [] 2025-12-04T11:16:33.3466547Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3467273Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3467373Z warnings.warn( 2025-12-04T11:16:33.3468100Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3468194Z warnings.warn( 2025-12-04T11:16:33.3469125Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-e39fd3ee26241093.xml - 2025-12-04T11:16:33.3469294Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3470229Z FAILED [0.3786s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3470274Z 2025-12-04T11:16:33.3470380Z Expected 1 but got 2. 2025-12-04T11:16:33.3470480Z Absolute difference: 1 2025-12-04T11:16:33.3470593Z Relative difference: 1.0 2025-12-04T11:16:33.3470598Z 2025-12-04T11:16:33.3470810Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3471744Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3471763Z 2025-12-04T11:16:33.3472029Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3472203Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3472407Z ================== 1 failed, 10 deselected, 2 rerun in 20.30s ================== 2025-12-04T11:16:33.3472501Z Got exit code 1 2025-12-04T11:16:33.3472604Z Retrying single test... 2025-12-04T11:16:33.3473059Z W1204 11:06:02.033000 92293 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3473718Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-293f409f08d0b75c.xml 2025-12-04T11:16:33.3473890Z ============================= test session starts ============================== 2025-12-04T11:16:33.3474236Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3474348Z cachedir: .pytest_cache 2025-12-04T11:16:33.3474876Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3474995Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3475098Z configfile: pytest.ini 2025-12-04T11:16:33.3475644Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3475860Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.3476851Z stepcurrent: skipping 3 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3476970Z Running 1 items in this shard 2025-12-04T11:16:33.3476975Z 2025-12-04T11:16:33.3478254Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:06:05.289178184 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3478270Z 2025-12-04T11:16:33.3478787Z [W1204 11:06:21.975313076 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3478794Z 2025-12-04T11:16:33.3479303Z [W1204 11:06:21.975571673 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3479308Z 2025-12-04T11:16:33.3479827Z [W1204 11:06:21.982925871 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3479834Z 2025-12-04T11:16:33.3480342Z [W1204 11:06:21.983595707 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3480402Z 2025-12-04T11:16:33.3480919Z [W1204 11:06:21.983780313 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3480924Z 2025-12-04T11:16:33.3481427Z [W1204 11:06:21.990624932 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3481432Z 2025-12-04T11:16:33.3481976Z [W1204 11:06:21.991252832 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3481981Z 2025-12-04T11:16:33.3482485Z [W1204 11:06:21.991437933 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3482517Z 2025-12-04T11:16:33.3483033Z [W1204 11:06:23.987102124 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3483037Z 2025-12-04T11:16:33.3483548Z [W1204 11:06:23.988761118 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3483553Z 2025-12-04T11:16:33.3484057Z [W1204 11:06:23.988964035 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3484070Z 2025-12-04T11:16:33.3484575Z [W1204 11:06:23.992869185 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3484582Z 2025-12-04T11:16:33.3485084Z [W1204 11:06:23.993494232 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3485092Z 2025-12-04T11:16:33.3485609Z [W1204 11:06:23.993689800 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3485614Z 2025-12-04T11:16:33.3486126Z [W1204 11:06:23.999701827 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3486130Z 2025-12-04T11:16:33.3486644Z [W1204 11:06:23.000342186 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3486649Z 2025-12-04T11:16:33.3487155Z [W1204 11:06:23.000538385 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3487162Z 2025-12-04T11:16:33.3487297Z ('RERUN', {'yellow': True}) [19.4817s] [100%] 2025-12-04T11:16:33.3488568Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:06:23.347649449 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3488576Z 2025-12-04T11:16:33.3489096Z [W1204 11:06:23.348363769 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3489101Z 2025-12-04T11:16:33.3489610Z [W1204 11:06:23.348560661 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3489615Z 2025-12-04T11:16:33.3490127Z [W1204 11:06:23.352465112 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3490139Z 2025-12-04T11:16:33.3490645Z [W1204 11:06:23.353224356 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3490653Z 2025-12-04T11:16:33.3491253Z [W1204 11:06:23.353414903 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3491259Z 2025-12-04T11:16:33.3491840Z [W1204 11:06:23.359339707 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3491846Z 2025-12-04T11:16:33.3492356Z [W1204 11:06:23.359936761 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3492361Z 2025-12-04T11:16:33.3492881Z [W1204 11:06:23.360144994 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3492982Z 2025-12-04T11:16:33.3493490Z [W1204 11:06:23.443611593 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3493494Z 2025-12-04T11:16:33.3494048Z [W1204 11:06:23.444298717 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3494053Z 2025-12-04T11:16:33.3494563Z [W1204 11:06:23.444496239 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3494567Z 2025-12-04T11:16:33.3495086Z [W1204 11:06:23.448332141 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3495091Z 2025-12-04T11:16:33.3495594Z [W1204 11:06:23.448937958 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3495602Z 2025-12-04T11:16:33.3496107Z [W1204 11:06:23.449131360 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3496112Z 2025-12-04T11:16:33.3496629Z [W1204 11:06:23.455168397 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3496636Z 2025-12-04T11:16:33.3497145Z [W1204 11:06:23.455941221 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3497149Z 2025-12-04T11:16:33.3497664Z [W1204 11:06:23.456132852 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3497668Z 2025-12-04T11:16:33.3497794Z ('RERUN', {'yellow': True}) [0.4162s] [100%] 2025-12-04T11:16:33.3499076Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 [W1204 11:06:23.735517297 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3499083Z 2025-12-04T11:16:33.3499592Z [W1204 11:06:23.736213423 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3499599Z 2025-12-04T11:16:33.3500117Z [W1204 11:06:23.736408450 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3500122Z 2025-12-04T11:16:33.3500630Z [W1204 11:06:23.740299572 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3500634Z 2025-12-04T11:16:33.3501142Z [W1204 11:06:23.741054214 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3501157Z 2025-12-04T11:16:33.3501667Z [W1204 11:06:23.741243103 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3501672Z 2025-12-04T11:16:33.3502176Z [W1204 11:06:23.747175146 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3502184Z 2025-12-04T11:16:33.3502758Z [W1204 11:06:23.747782932 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3502763Z 2025-12-04T11:16:33.3503269Z [W1204 11:06:23.747969768 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3503274Z 2025-12-04T11:16:33.3503787Z [W1204 11:06:24.830713468 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3503820Z 2025-12-04T11:16:33.3504323Z [W1204 11:06:24.831421937 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3504328Z 2025-12-04T11:16:33.3505035Z [W1204 11:06:24.831624374 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3505109Z 2025-12-04T11:16:33.3505622Z [W1204 11:06:24.835466116 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3505631Z 2025-12-04T11:16:33.3506143Z [W1204 11:06:24.836089002 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3506147Z 2025-12-04T11:16:33.3506651Z [W1204 11:06:24.836282459 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3506658Z 2025-12-04T11:16:33.3507165Z [W1204 11:06:24.842236781 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3507177Z 2025-12-04T11:16:33.3507682Z [W1204 11:06:24.843035113 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3507689Z 2025-12-04T11:16:33.3508199Z [W1204 11:06:24.843229346 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3508204Z 2025-12-04T11:16:33.3508317Z FAILED [0.3858s] [100%] 2025-12-04T11:16:33.3508322Z 2025-12-04T11:16:33.3508461Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3508974Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3509095Z Traceback (most recent call last): 2025-12-04T11:16:33.3509606Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3509844Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3510305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3510469Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3511011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3511218Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3511356Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3511361Z 2025-12-04T11:16:33.3511463Z Expected 1 but got 2. 2025-12-04T11:16:33.3511568Z Absolute difference: 1 2025-12-04T11:16:33.3511681Z Relative difference: 1.0 2025-12-04T11:16:33.3511686Z 2025-12-04T11:16:33.3511899Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3512812Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3512817Z 2025-12-04T11:16:33.3513083Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3513305Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3513422Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3514047Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3514280Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3514375Z graph_break [] 2025-12-04T11:16:33.3514590Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3515853Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3515967Z if out == self.unknown_value: 2025-12-04T11:16:33.3516726Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3516836Z warnings.warn( 2025-12-04T11:16:33.3517569Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3517673Z warnings.warn( 2025-12-04T11:16:33.3518169Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3518287Z Traceback (most recent call last): 2025-12-04T11:16:33.3518804Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3519033Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3519498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3519662Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3520204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3520418Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3520549Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3520555Z 2025-12-04T11:16:33.3520657Z Expected 1 but got 2. 2025-12-04T11:16:33.3520768Z Absolute difference: 1 2025-12-04T11:16:33.3520874Z Relative difference: 1.0 2025-12-04T11:16:33.3520882Z 2025-12-04T11:16:33.3521101Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3522006Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3522014Z 2025-12-04T11:16:33.3522275Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3522498Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3522614Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3523157Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3523382Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3523476Z graph_break [] 2025-12-04T11:16:33.3523700Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3524917Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3525045Z if out == self.unknown_value: 2025-12-04T11:16:33.3525776Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3525933Z warnings.warn( 2025-12-04T11:16:33.3526663Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3526763Z warnings.warn( 2025-12-04T11:16:33.3536150Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3536454Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3536710Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3537246Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3537391Z graph_break [] 2025-12-04T11:16:33.3537623Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3538378Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3538478Z warnings.warn( 2025-12-04T11:16:33.3539211Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3539308Z warnings.warn( 2025-12-04T11:16:33.3539459Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3539962Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3540081Z Traceback (most recent call last): 2025-12-04T11:16:33.3540597Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3540827Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3541301Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3541459Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3541995Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3542203Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3542332Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3542343Z 2025-12-04T11:16:33.3542447Z Expected 1 but got 2. 2025-12-04T11:16:33.3542562Z Absolute difference: 1 2025-12-04T11:16:33.3542668Z Relative difference: 1.0 2025-12-04T11:16:33.3542674Z 2025-12-04T11:16:33.3542896Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3543806Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3543812Z 2025-12-04T11:16:33.3544085Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3544313Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3544426Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3544967Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3545192Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3545287Z graph_break [] 2025-12-04T11:16:33.3545508Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3546717Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3546914Z if out == self.unknown_value: 2025-12-04T11:16:33.3547646Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3547745Z warnings.warn( 2025-12-04T11:16:33.3548477Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3548604Z warnings.warn( 2025-12-04T11:16:33.3548815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3548934Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3549156Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3549725Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3549822Z graph_break [] 2025-12-04T11:16:33.3550036Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3550772Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3550870Z warnings.warn( 2025-12-04T11:16:33.3551600Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3551698Z warnings.warn( 2025-12-04T11:16:33.3551909Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3552030Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3552256Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3552785Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3552890Z graph_break [] 2025-12-04T11:16:33.3553098Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3553832Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3553928Z warnings.warn( 2025-12-04T11:16:33.3554649Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3554752Z warnings.warn( 2025-12-04T11:16:33.3555585Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-293f409f08d0b75c.xml - 2025-12-04T11:16:33.3555755Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3556704Z FAILED [0.3858s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3556711Z 2025-12-04T11:16:33.3556810Z Expected 1 but got 2. 2025-12-04T11:16:33.3556924Z Absolute difference: 1 2025-12-04T11:16:33.3557028Z Relative difference: 1.0 2025-12-04T11:16:33.3557033Z 2025-12-04T11:16:33.3557248Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3558161Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3558169Z 2025-12-04T11:16:33.3558431Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3558614Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3558868Z ================== 1 failed, 10 deselected, 2 rerun in 20.32s ================== 2025-12-04T11:16:33.3558966Z Got exit code 1 2025-12-04T11:16:33.3559795Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3560206Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.3560694Z W1204 11:06:34.916000 92467 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3561352Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-74191eb85f83ce31.xml 2025-12-04T11:16:33.3561559Z ============================= test session starts ============================== 2025-12-04T11:16:33.3561914Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3562024Z cachedir: .pytest_cache 2025-12-04T11:16:33.3562544Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3562659Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3562759Z configfile: pytest.ini 2025-12-04T11:16:33.3563298Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3563505Z collecting ... collected 58 items / 4 deselected / 54 selected 2025-12-04T11:16:33.3563638Z stepcurrent: skipping 4 already run items. 2025-12-04T11:16:33.3563747Z Running 7 items in this shard 2025-12-04T11:16:33.3563752Z 2025-12-04T11:16:33.3564617Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [3.7986s] [ 14%] 2025-12-04T11:16:33.3565485Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.3874s] [ 14%] 2025-12-04T11:16:33.3566256Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 FAILED [0.3801s] [ 14%] 2025-12-04T11:16:33.3566264Z 2025-12-04T11:16:33.3566409Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3566905Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3567024Z Traceback (most recent call last): 2025-12-04T11:16:33.3567545Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3567775Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3568247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3568408Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3568946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3569152Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3569285Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3569290Z 2025-12-04T11:16:33.3569394Z Expected 1 but got 2. 2025-12-04T11:16:33.3569505Z Absolute difference: 1 2025-12-04T11:16:33.3569613Z Relative difference: 1.0 2025-12-04T11:16:33.3569618Z 2025-12-04T11:16:33.3569840Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3570800Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3570806Z 2025-12-04T11:16:33.3571179Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3571409Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3571523Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3572063Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3572326Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3572422Z graph_break [] 2025-12-04T11:16:33.3572641Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3573412Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3573514Z warnings.warn( 2025-12-04T11:16:33.3574257Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3574352Z warnings.warn( 2025-12-04T11:16:33.3574862Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3574982Z Traceback (most recent call last): 2025-12-04T11:16:33.3575486Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3575730Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3576187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3576362Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3576906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3577109Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3577246Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3577252Z 2025-12-04T11:16:33.3577356Z Expected 1 but got 2. 2025-12-04T11:16:33.3577462Z Absolute difference: 1 2025-12-04T11:16:33.3577580Z Relative difference: 1.0 2025-12-04T11:16:33.3577587Z 2025-12-04T11:16:33.3577797Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3578706Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3578713Z 2025-12-04T11:16:33.3578980Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3579194Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3579323Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3579858Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3580094Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3580190Z graph_break [] 2025-12-04T11:16:33.3580402Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3581152Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3581253Z warnings.warn( 2025-12-04T11:16:33.3581978Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3582086Z warnings.warn( 2025-12-04T11:16:33.3582357Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3582480Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3582705Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3583235Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3583371Z graph_break [] 2025-12-04T11:16:33.3583580Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3584320Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3584446Z warnings.warn( 2025-12-04T11:16:33.3585166Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3585281Z warnings.warn( 2025-12-04T11:16:33.3585420Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3585918Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3586047Z Traceback (most recent call last): 2025-12-04T11:16:33.3586554Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3586797Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3587257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3587420Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3587958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3588182Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3588311Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3588316Z 2025-12-04T11:16:33.3588431Z Expected 1 but got 2. 2025-12-04T11:16:33.3588544Z Absolute difference: 1 2025-12-04T11:16:33.3588652Z Relative difference: 1.0 2025-12-04T11:16:33.3588657Z 2025-12-04T11:16:33.3588879Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3589785Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3589791Z 2025-12-04T11:16:33.3590066Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3590280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3590395Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3590941Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3591165Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3591265Z graph_break [] 2025-12-04T11:16:33.3591493Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3592224Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3592341Z warnings.warn( 2025-12-04T11:16:33.3593064Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3593165Z warnings.warn( 2025-12-04T11:16:33.3593391Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3593505Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3593789Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3594329Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3594427Z graph_break [] 2025-12-04T11:16:33.3594648Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3595416Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3595515Z warnings.warn( 2025-12-04T11:16:33.3596246Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3596376Z warnings.warn( 2025-12-04T11:16:33.3596603Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3596721Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3596945Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3597488Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3597585Z graph_break [] 2025-12-04T11:16:33.3597798Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3598537Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3598634Z warnings.warn( 2025-12-04T11:16:33.3599367Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3599463Z warnings.warn( 2025-12-04T11:16:33.3600303Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-74191eb85f83ce31.xml - 2025-12-04T11:16:33.3600485Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3601418Z FAILED [0.3801s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3601427Z 2025-12-04T11:16:33.3601546Z Expected 1 but got 2. 2025-12-04T11:16:33.3601651Z Absolute difference: 1 2025-12-04T11:16:33.3601757Z Relative difference: 1.0 2025-12-04T11:16:33.3601762Z 2025-12-04T11:16:33.3601987Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3602887Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3602892Z 2025-12-04T11:16:33.3603167Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3603345Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3603537Z =================== 1 failed, 4 deselected, 2 rerun in 4.60s =================== 2025-12-04T11:16:33.3603652Z Got exit code 1 2025-12-04T11:16:33.3603754Z Retrying single test... 2025-12-04T11:16:33.3604201Z W1204 11:06:54.503000 92636 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3605087Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-70fb36dd03eba8b4.xml 2025-12-04T11:16:33.3605251Z ============================= test session starts ============================== 2025-12-04T11:16:33.3605723Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3605832Z cachedir: .pytest_cache 2025-12-04T11:16:33.3606353Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3606488Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3606595Z configfile: pytest.ini 2025-12-04T11:16:33.3607149Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3607431Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.3608420Z stepcurrent: skipping 4 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3608604Z Running 1 items in this shard 2025-12-04T11:16:33.3608609Z 2025-12-04T11:16:33.3609886Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:06:58.803065579 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3609893Z 2025-12-04T11:16:33.3610423Z [W1204 11:07:13.158000405 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3610431Z 2025-12-04T11:16:33.3610942Z [W1204 11:07:13.158268777 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3610948Z 2025-12-04T11:16:33.3611563Z [W1204 11:07:13.165612119 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3611573Z 2025-12-04T11:16:33.3612089Z [W1204 11:07:13.166279399 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3612094Z 2025-12-04T11:16:33.3612614Z [W1204 11:07:13.166466016 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3612619Z 2025-12-04T11:16:33.3613132Z [W1204 11:07:13.173279601 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3613139Z 2025-12-04T11:16:33.3613645Z [W1204 11:07:13.173900088 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3613650Z 2025-12-04T11:16:33.3614173Z [W1204 11:07:13.174086466 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3614180Z 2025-12-04T11:16:33.3614700Z [W1204 11:07:15.167961346 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3614705Z 2025-12-04T11:16:33.3615227Z [W1204 11:07:15.169584626 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3615232Z 2025-12-04T11:16:33.3615742Z [W1204 11:07:15.169788508 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3615750Z 2025-12-04T11:16:33.3616268Z [W1204 11:07:15.173642598 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3616272Z 2025-12-04T11:16:33.3616780Z [W1204 11:07:15.174260291 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3616787Z 2025-12-04T11:16:33.3617306Z [W1204 11:07:15.174455275 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3617377Z 2025-12-04T11:16:33.3617886Z [W1204 11:07:15.180442951 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3617891Z 2025-12-04T11:16:33.3618400Z [W1204 11:07:15.181050333 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3618445Z 2025-12-04T11:16:33.3618953Z [W1204 11:07:15.181241979 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3618958Z 2025-12-04T11:16:33.3619090Z ('RERUN', {'yellow': True}) [19.1784s] [100%] 2025-12-04T11:16:33.3620367Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:07:15.515904756 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3620409Z 2025-12-04T11:16:33.3620926Z [W1204 11:07:15.516591974 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3620930Z 2025-12-04T11:16:33.3621451Z [W1204 11:07:15.516791107 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3621458Z 2025-12-04T11:16:33.3621968Z [W1204 11:07:15.520645725 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3621973Z 2025-12-04T11:16:33.3622496Z [W1204 11:07:15.521398375 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3622503Z 2025-12-04T11:16:33.3623011Z [W1204 11:07:15.521588247 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3623016Z 2025-12-04T11:16:33.3623539Z [W1204 11:07:15.527485808 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3623543Z 2025-12-04T11:16:33.3624049Z [W1204 11:07:15.528083950 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3624054Z 2025-12-04T11:16:33.3624567Z [W1204 11:07:15.528271516 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3624584Z 2025-12-04T11:16:33.3625094Z [W1204 11:07:15.610390385 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3625101Z 2025-12-04T11:16:33.3625610Z [W1204 11:07:15.611117372 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3625615Z 2025-12-04T11:16:33.3626139Z [W1204 11:07:15.611319654 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3626144Z 2025-12-04T11:16:33.3626653Z [W1204 11:07:15.615163844 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3626657Z 2025-12-04T11:16:33.3627173Z [W1204 11:07:15.615782224 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3627180Z 2025-12-04T11:16:33.3627684Z [W1204 11:07:15.615977505 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3627692Z 2025-12-04T11:16:33.3628207Z [W1204 11:07:15.621946634 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3628212Z 2025-12-04T11:16:33.3628777Z [W1204 11:07:15.622735989 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3628782Z 2025-12-04T11:16:33.3629290Z [W1204 11:07:15.622927829 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3629306Z 2025-12-04T11:16:33.3629435Z ('RERUN', {'yellow': True}) [0.4032s] [100%] 2025-12-04T11:16:33.3630735Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:07:16.894989933 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3630771Z 2025-12-04T11:16:33.3631295Z [W1204 11:07:16.895685321 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3631300Z 2025-12-04T11:16:33.3631810Z [W1204 11:07:16.895886477 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3631815Z 2025-12-04T11:16:33.3632333Z [W1204 11:07:16.899695191 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3632338Z 2025-12-04T11:16:33.3632851Z [W1204 11:07:16.900465983 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3632858Z 2025-12-04T11:16:33.3633379Z [W1204 11:07:16.900661696 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3633384Z 2025-12-04T11:16:33.3633894Z [W1204 11:07:16.906544761 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3633899Z 2025-12-04T11:16:33.3634420Z [W1204 11:07:16.907150432 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3634425Z 2025-12-04T11:16:33.3634935Z [W1204 11:07:16.907337169 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3634940Z 2025-12-04T11:16:33.3635448Z [W1204 11:07:16.988625497 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3635467Z 2025-12-04T11:16:33.3635976Z [W1204 11:07:16.989276767 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3635981Z 2025-12-04T11:16:33.3636487Z [W1204 11:07:16.989471249 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3636494Z 2025-12-04T11:16:33.3637012Z [W1204 11:07:16.993275400 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3637016Z 2025-12-04T11:16:33.3637525Z [W1204 11:07:16.993881513 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3637530Z 2025-12-04T11:16:33.3638047Z [W1204 11:07:16.994073886 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3638054Z 2025-12-04T11:16:33.3638563Z [W1204 11:07:16.999953016 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3638568Z 2025-12-04T11:16:33.3639085Z [W1204 11:07:16.000737332 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3639091Z 2025-12-04T11:16:33.3639665Z [W1204 11:07:16.000935898 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3639670Z 2025-12-04T11:16:33.3639772Z FAILED [0.3755s] [100%] 2025-12-04T11:16:33.3639788Z 2025-12-04T11:16:33.3639927Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3640429Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3640593Z Traceback (most recent call last): 2025-12-04T11:16:33.3641104Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3641337Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3641814Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3642009Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3642569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3642774Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3642903Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3642909Z 2025-12-04T11:16:33.3643031Z Expected 1 but got 2. 2025-12-04T11:16:33.3643135Z Absolute difference: 1 2025-12-04T11:16:33.3643244Z Relative difference: 1.0 2025-12-04T11:16:33.3643251Z 2025-12-04T11:16:33.3643479Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3644384Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3644392Z 2025-12-04T11:16:33.3644669Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3644889Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3645006Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3645552Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3645778Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3645886Z graph_break [] 2025-12-04T11:16:33.3646104Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3647324Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3647457Z if out == self.unknown_value: 2025-12-04T11:16:33.3648189Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3648301Z warnings.warn( 2025-12-04T11:16:33.3649024Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3649125Z warnings.warn( 2025-12-04T11:16:33.3649637Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3649760Z Traceback (most recent call last): 2025-12-04T11:16:33.3650268Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3650509Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3650969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3651229Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3651858Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3652067Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3652215Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3652220Z 2025-12-04T11:16:33.3652328Z Expected 1 but got 2. 2025-12-04T11:16:33.3652448Z Absolute difference: 1 2025-12-04T11:16:33.3652593Z Relative difference: 1.0 2025-12-04T11:16:33.3652598Z 2025-12-04T11:16:33.3652815Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3653733Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3653769Z 2025-12-04T11:16:33.3654042Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3654278Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3654393Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3654925Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3655163Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3655263Z graph_break [] 2025-12-04T11:16:33.3655479Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3656703Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3656837Z if out == self.unknown_value: 2025-12-04T11:16:33.3657572Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3657680Z warnings.warn( 2025-12-04T11:16:33.3658405Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3658510Z warnings.warn( 2025-12-04T11:16:33.3658735Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3658851Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3659088Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3659619Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3659721Z graph_break [] 2025-12-04T11:16:33.3659944Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3660675Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3660775Z warnings.warn( 2025-12-04T11:16:33.3661506Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3661607Z warnings.warn( 2025-12-04T11:16:33.3661765Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3662268Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3662392Z Traceback (most recent call last): 2025-12-04T11:16:33.3662914Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3663147Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3663676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3663841Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3664376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3664590Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3664756Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3664763Z 2025-12-04T11:16:33.3664867Z Expected 1 but got 2. 2025-12-04T11:16:33.3664981Z Absolute difference: 1 2025-12-04T11:16:33.3665091Z Relative difference: 1.0 2025-12-04T11:16:33.3665097Z 2025-12-04T11:16:33.3665350Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3666258Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3666263Z 2025-12-04T11:16:33.3666530Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3666756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3666870Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3667411Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3667639Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3667740Z graph_break [] 2025-12-04T11:16:33.3667957Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3669173Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3669292Z if out == self.unknown_value: 2025-12-04T11:16:33.3670019Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3670119Z warnings.warn( 2025-12-04T11:16:33.3670848Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3670949Z warnings.warn( 2025-12-04T11:16:33.3671164Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3671281Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3671508Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3672044Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3672144Z graph_break [] 2025-12-04T11:16:33.3672361Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3673095Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3673191Z warnings.warn( 2025-12-04T11:16:33.3673924Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3674022Z warnings.warn( 2025-12-04T11:16:33.3674234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3674352Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3674574Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3675165Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3675270Z graph_break [] 2025-12-04T11:16:33.3675480Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3676207Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3676336Z warnings.warn( 2025-12-04T11:16:33.3677053Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3677158Z warnings.warn( 2025-12-04T11:16:33.3678001Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-70fb36dd03eba8b4.xml - 2025-12-04T11:16:33.3678202Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3679146Z FAILED [0.3755s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3679153Z 2025-12-04T11:16:33.3679256Z Expected 1 but got 2. 2025-12-04T11:16:33.3679367Z Absolute difference: 1 2025-12-04T11:16:33.3679476Z Relative difference: 1.0 2025-12-04T11:16:33.3679484Z 2025-12-04T11:16:33.3679697Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3680604Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3680612Z 2025-12-04T11:16:33.3680875Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3681061Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3681257Z ================== 1 failed, 10 deselected, 2 rerun in 19.99s ================== 2025-12-04T11:16:33.3681355Z Got exit code 1 2025-12-04T11:16:33.3681469Z Retrying single test... 2025-12-04T11:16:33.3681911Z W1204 11:07:27.112000 92810 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3682576Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-550099b2d612f353.xml 2025-12-04T11:16:33.3682738Z ============================= test session starts ============================== 2025-12-04T11:16:33.3683091Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3683209Z cachedir: .pytest_cache 2025-12-04T11:16:33.3683730Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3683855Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3683968Z configfile: pytest.ini 2025-12-04T11:16:33.3684513Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3684734Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.3685718Z stepcurrent: skipping 4 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3685835Z Running 1 items in this shard 2025-12-04T11:16:33.3685840Z 2025-12-04T11:16:33.3687121Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:07:30.385063250 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3687272Z 2025-12-04T11:16:33.3687796Z [W1204 11:07:45.688330130 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3687802Z 2025-12-04T11:16:33.3688325Z [W1204 11:07:45.688591742 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3688360Z 2025-12-04T11:16:33.3688874Z [W1204 11:07:45.695924935 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3688879Z 2025-12-04T11:16:33.3689402Z [W1204 11:07:45.696598499 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3689437Z 2025-12-04T11:16:33.3689953Z [W1204 11:07:45.696786345 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3689957Z 2025-12-04T11:16:33.3690478Z [W1204 11:07:45.703593684 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3690482Z 2025-12-04T11:16:33.3691098Z [W1204 11:07:45.704222270 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3691107Z 2025-12-04T11:16:33.3691633Z [W1204 11:07:45.704411049 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3691638Z 2025-12-04T11:16:33.3692150Z [W1204 11:07:47.699489905 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3692158Z 2025-12-04T11:16:33.3692666Z [W1204 11:07:47.701139917 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3692681Z 2025-12-04T11:16:33.3693194Z [W1204 11:07:47.701349307 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3693199Z 2025-12-04T11:16:33.3693709Z [W1204 11:07:47.705194332 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3693714Z 2025-12-04T11:16:33.3694231Z [W1204 11:07:47.705806795 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3694238Z 2025-12-04T11:16:33.3694746Z [W1204 11:07:47.706002467 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3694753Z 2025-12-04T11:16:33.3695271Z [W1204 11:07:47.712020384 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3695276Z 2025-12-04T11:16:33.3695788Z [W1204 11:07:47.712635934 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3695793Z 2025-12-04T11:16:33.3696313Z [W1204 11:07:47.712827847 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3696318Z 2025-12-04T11:16:33.3696448Z ('RERUN', {'yellow': True}) [19.1026s] [100%] 2025-12-04T11:16:33.3697727Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:07:48.042100112 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3697744Z 2025-12-04T11:16:33.3698254Z [W1204 11:07:48.042818921 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3698259Z 2025-12-04T11:16:33.3698846Z [W1204 11:07:48.043016391 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3698851Z 2025-12-04T11:16:33.3699368Z [W1204 11:07:48.046870454 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3699373Z 2025-12-04T11:16:33.3699882Z [W1204 11:07:48.047621131 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3699915Z 2025-12-04T11:16:33.3700430Z [W1204 11:07:48.047811699 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3700435Z 2025-12-04T11:16:33.3700976Z [W1204 11:07:48.053804026 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3700980Z 2025-12-04T11:16:33.3701499Z [W1204 11:07:48.054415099 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3701504Z 2025-12-04T11:16:33.3702013Z [W1204 11:07:48.054602479 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3702017Z 2025-12-04T11:16:33.3702534Z [W1204 11:07:48.136864271 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3702540Z 2025-12-04T11:16:33.3703049Z [W1204 11:07:48.137493161 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3703054Z 2025-12-04T11:16:33.3703564Z [W1204 11:07:48.137688773 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3703578Z 2025-12-04T11:16:33.3704092Z [W1204 11:07:48.141567001 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3704096Z 2025-12-04T11:16:33.3704771Z [W1204 11:07:48.142180388 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3704776Z 2025-12-04T11:16:33.3705295Z [W1204 11:07:48.142381388 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3705302Z 2025-12-04T11:16:33.3705814Z [W1204 11:07:48.148300943 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3705819Z 2025-12-04T11:16:33.3706337Z [W1204 11:07:48.149070933 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3706344Z 2025-12-04T11:16:33.3706857Z [W1204 11:07:48.149264677 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3706861Z 2025-12-04T11:16:33.3707001Z ('RERUN', {'yellow': True}) [0.3973s] [100%] 2025-12-04T11:16:33.3708273Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:07:48.422055185 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3708281Z 2025-12-04T11:16:33.3708805Z [W1204 11:07:48.422759415 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3708810Z 2025-12-04T11:16:33.3709319Z [W1204 11:07:48.422959358 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3709326Z 2025-12-04T11:16:33.3709941Z [W1204 11:07:48.426827721 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3709954Z 2025-12-04T11:16:33.3710467Z [W1204 11:07:48.427583899 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3710471Z 2025-12-04T11:16:33.3710981Z [W1204 11:07:48.427775291 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3711023Z 2025-12-04T11:16:33.3711542Z [W1204 11:07:48.433756788 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3711546Z 2025-12-04T11:16:33.3712054Z [W1204 11:07:48.434364621 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3712103Z 2025-12-04T11:16:33.3712625Z [W1204 11:07:48.434552570 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3712630Z 2025-12-04T11:16:33.3713138Z [W1204 11:07:48.517021814 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3713143Z 2025-12-04T11:16:33.3713657Z [W1204 11:07:48.517689562 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3713664Z 2025-12-04T11:16:33.3714171Z [W1204 11:07:48.517886540 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3714175Z 2025-12-04T11:16:33.3714692Z [W1204 11:07:48.521771531 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3714699Z 2025-12-04T11:16:33.3715210Z [W1204 11:07:48.522385319 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3715218Z 2025-12-04T11:16:33.3715727Z [W1204 11:07:48.522579213 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3715732Z 2025-12-04T11:16:33.3716246Z [W1204 11:07:48.528529885 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3716250Z 2025-12-04T11:16:33.3716762Z [W1204 11:07:48.529299828 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3716767Z 2025-12-04T11:16:33.3717278Z [W1204 11:07:48.529493978 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3717285Z 2025-12-04T11:16:33.3717385Z FAILED [0.3788s] [100%] 2025-12-04T11:16:33.3717390Z 2025-12-04T11:16:33.3717545Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3718056Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3718178Z Traceback (most recent call last): 2025-12-04T11:16:33.3718701Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3718932Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3719406Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3719568Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3720107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3720321Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3720449Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3720454Z 2025-12-04T11:16:33.3720626Z Expected 1 but got 2. 2025-12-04T11:16:33.3720740Z Absolute difference: 1 2025-12-04T11:16:33.3720849Z Relative difference: 1.0 2025-12-04T11:16:33.3720856Z 2025-12-04T11:16:33.3721076Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3721982Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3722018Z 2025-12-04T11:16:33.3722289Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3722515Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3722662Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3723201Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3723432Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3723530Z graph_break [] 2025-12-04T11:16:33.3723751Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3724970Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3725095Z if out == self.unknown_value: 2025-12-04T11:16:33.3725822Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3725924Z warnings.warn( 2025-12-04T11:16:33.3726654Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3726758Z warnings.warn( 2025-12-04T11:16:33.3727257Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3727383Z Traceback (most recent call last): 2025-12-04T11:16:33.3727890Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3728126Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3728587Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3728748Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3729292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3729502Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3729634Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3729652Z 2025-12-04T11:16:33.3729759Z Expected 1 but got 2. 2025-12-04T11:16:33.3729863Z Absolute difference: 1 2025-12-04T11:16:33.3729979Z Relative difference: 1.0 2025-12-04T11:16:33.3729984Z 2025-12-04T11:16:33.3730193Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3731195Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3731204Z 2025-12-04T11:16:33.3731486Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3731705Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3731829Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3732433Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3732660Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3732764Z graph_break [] 2025-12-04T11:16:33.3732977Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3734198Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3734346Z if out == self.unknown_value: 2025-12-04T11:16:33.3735071Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3735228Z warnings.warn( 2025-12-04T11:16:33.3735956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3736065Z warnings.warn( 2025-12-04T11:16:33.3736280Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3736396Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3736641Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3737176Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3737277Z graph_break [] 2025-12-04T11:16:33.3737508Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3738236Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3738357Z warnings.warn( 2025-12-04T11:16:33.3739082Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3739182Z warnings.warn( 2025-12-04T11:16:33.3739338Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3739841Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3739970Z Traceback (most recent call last): 2025-12-04T11:16:33.3740494Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3740723Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3741192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3741357Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3741901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3742119Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3742248Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3742253Z 2025-12-04T11:16:33.3742371Z Expected 1 but got 2. 2025-12-04T11:16:33.3742478Z Absolute difference: 1 2025-12-04T11:16:33.3742586Z Relative difference: 1.0 2025-12-04T11:16:33.3742593Z 2025-12-04T11:16:33.3742818Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3743723Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3743731Z 2025-12-04T11:16:33.3744002Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3744233Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3744408Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3744953Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3745180Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3745279Z graph_break [] 2025-12-04T11:16:33.3745503Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3746748Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3746907Z if out == self.unknown_value: 2025-12-04T11:16:33.3747636Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3747737Z warnings.warn( 2025-12-04T11:16:33.3748473Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3748578Z warnings.warn( 2025-12-04T11:16:33.3748792Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3748919Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3749147Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3749697Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3749796Z graph_break [] 2025-12-04T11:16:33.3750009Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3750756Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3750855Z warnings.warn( 2025-12-04T11:16:33.3751589Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3751690Z warnings.warn( 2025-12-04T11:16:33.3751903Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3752032Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3752258Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3752791Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3752903Z graph_break [] 2025-12-04T11:16:33.3753117Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3753863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3753963Z warnings.warn( 2025-12-04T11:16:33.3754688Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3754801Z warnings.warn( 2025-12-04T11:16:33.3755645Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-550099b2d612f353.xml - 2025-12-04T11:16:33.3755831Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3756772Z FAILED [0.3788s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3756778Z 2025-12-04T11:16:33.3756960Z Expected 1 but got 2. 2025-12-04T11:16:33.3757080Z Absolute difference: 1 2025-12-04T11:16:33.3757191Z Relative difference: 1.0 2025-12-04T11:16:33.3757196Z 2025-12-04T11:16:33.3757426Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3758329Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3758367Z 2025-12-04T11:16:33.3758638Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3758829Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3759058Z ================== 1 failed, 10 deselected, 2 rerun in 19.91s ================== 2025-12-04T11:16:33.3759158Z Got exit code 1 2025-12-04T11:16:33.3759995Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3760408Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.3760868Z W1204 11:07:59.588000 92984 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3761530Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-540c8251b42251c5.xml 2025-12-04T11:16:33.3761694Z ============================= test session starts ============================== 2025-12-04T11:16:33.3762057Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3762169Z cachedir: .pytest_cache 2025-12-04T11:16:33.3762744Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3762933Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3763057Z configfile: pytest.ini 2025-12-04T11:16:33.3763619Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3763835Z collecting ... collected 58 items / 5 deselected / 53 selected 2025-12-04T11:16:33.3763991Z stepcurrent: skipping 5 already run items. 2025-12-04T11:16:33.3764110Z Running 6 items in this shard 2025-12-04T11:16:33.3764115Z 2025-12-04T11:16:33.3764982Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [3.8094s] [ 16%] 2025-12-04T11:16:33.3765857Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.3942s] [ 16%] 2025-12-04T11:16:33.3766639Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 FAILED [0.3843s] [ 16%] 2025-12-04T11:16:33.3766644Z 2025-12-04T11:16:33.3766796Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3767300Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3767428Z Traceback (most recent call last): 2025-12-04T11:16:33.3767953Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3768187Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3768664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3768827Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3769439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3769658Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3769790Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3769795Z 2025-12-04T11:16:33.3769901Z Expected 1 but got 2. 2025-12-04T11:16:33.3770051Z Absolute difference: 1 2025-12-04T11:16:33.3770160Z Relative difference: 1.0 2025-12-04T11:16:33.3770165Z 2025-12-04T11:16:33.3770393Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3771386Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3771431Z 2025-12-04T11:16:33.3771704Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3771944Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3772060Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3772609Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3772838Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3772943Z graph_break [] 2025-12-04T11:16:33.3773172Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3773909Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3774026Z warnings.warn( 2025-12-04T11:16:33.3774755Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3774862Z warnings.warn( 2025-12-04T11:16:33.3775379Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3775500Z Traceback (most recent call last): 2025-12-04T11:16:33.3776009Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3776255Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3776715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3776892Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3777429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3777633Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3777782Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3777787Z 2025-12-04T11:16:33.3777892Z Expected 1 but got 2. 2025-12-04T11:16:33.3777997Z Absolute difference: 1 2025-12-04T11:16:33.3778117Z Relative difference: 1.0 2025-12-04T11:16:33.3778123Z 2025-12-04T11:16:33.3778339Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3779255Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3779264Z 2025-12-04T11:16:33.3779532Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3779750Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3779879Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3780470Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3780710Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3780813Z graph_break [] 2025-12-04T11:16:33.3781029Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3781775Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3781925Z warnings.warn( 2025-12-04T11:16:33.3782667Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3782805Z warnings.warn( 2025-12-04T11:16:33.3783020Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3783150Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3783385Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3783914Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3784025Z graph_break [] 2025-12-04T11:16:33.3784240Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3784980Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3785083Z warnings.warn( 2025-12-04T11:16:33.3785801Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3785919Z warnings.warn( 2025-12-04T11:16:33.3786063Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3786575Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3786713Z Traceback (most recent call last): 2025-12-04T11:16:33.3787223Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3787469Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3787928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3788094Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3788643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3788849Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3788993Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3788999Z 2025-12-04T11:16:33.3789106Z Expected 1 but got 2. 2025-12-04T11:16:33.3789217Z Absolute difference: 1 2025-12-04T11:16:33.3789340Z Relative difference: 1.0 2025-12-04T11:16:33.3789345Z 2025-12-04T11:16:33.3789557Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3790463Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3790483Z 2025-12-04T11:16:33.3790749Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3790976Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3791102Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3791635Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3791923Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3792037Z graph_break [] 2025-12-04T11:16:33.3792254Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3793006Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3793110Z warnings.warn( 2025-12-04T11:16:33.3793874Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3793988Z warnings.warn( 2025-12-04T11:16:33.3794203Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3794356Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3794597Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3795131Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3795244Z graph_break [] 2025-12-04T11:16:33.3795457Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3796188Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3796309Z warnings.warn( 2025-12-04T11:16:33.3797029Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3797138Z warnings.warn( 2025-12-04T11:16:33.3797353Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3797468Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3797709Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3798244Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3798345Z graph_break [] 2025-12-04T11:16:33.3798571Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3799302Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3799420Z warnings.warn( 2025-12-04T11:16:33.3800145Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3800248Z warnings.warn( 2025-12-04T11:16:33.3801102Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-540c8251b42251c5.xml - 2025-12-04T11:16:33.3801279Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3802243Z FAILED [0.3843s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3802249Z 2025-12-04T11:16:33.3802357Z Expected 1 but got 2. 2025-12-04T11:16:33.3802464Z Absolute difference: 1 2025-12-04T11:16:33.3802586Z Relative difference: 1.0 2025-12-04T11:16:33.3802591Z 2025-12-04T11:16:33.3802808Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3803716Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3803736Z 2025-12-04T11:16:33.3803995Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3804234Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3804614Z =================== 1 failed, 5 deselected, 2 rerun in 4.62s =================== 2025-12-04T11:16:33.3804716Z Got exit code 1 2025-12-04T11:16:33.3804824Z Retrying single test... 2025-12-04T11:16:33.3805287Z W1204 11:08:19.068000 93160 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3806019Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-48739ca0b6ba05aa.xml 2025-12-04T11:16:33.3806194Z ============================= test session starts ============================== 2025-12-04T11:16:33.3806596Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3806707Z cachedir: .pytest_cache 2025-12-04T11:16:33.3807245Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3807370Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3807480Z configfile: pytest.ini 2025-12-04T11:16:33.3808034Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3808249Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.3809261Z stepcurrent: skipping 5 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3809378Z Running 1 items in this shard 2025-12-04T11:16:33.3809385Z 2025-12-04T11:16:33.3810686Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:08:22.337953373 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3810693Z 2025-12-04T11:16:33.3811312Z [W1204 11:08:37.629369295 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3811319Z 2025-12-04T11:16:33.3811839Z [W1204 11:08:37.629624353 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3811862Z 2025-12-04T11:16:33.3812374Z [W1204 11:08:37.636891491 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3812380Z 2025-12-04T11:16:33.3812884Z [W1204 11:08:37.637547930 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3812892Z 2025-12-04T11:16:33.3813422Z [W1204 11:08:37.637735139 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3813427Z 2025-12-04T11:16:33.3813938Z [W1204 11:08:37.644609318 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3813943Z 2025-12-04T11:16:33.3814466Z [W1204 11:08:37.645253490 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3814473Z 2025-12-04T11:16:33.3814982Z [W1204 11:08:37.645437909 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3814988Z 2025-12-04T11:16:33.3815510Z [W1204 11:08:39.644039837 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3815517Z 2025-12-04T11:16:33.3816120Z [W1204 11:08:39.645703153 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3816125Z 2025-12-04T11:16:33.3816648Z [W1204 11:08:39.645909784 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3816652Z 2025-12-04T11:16:33.3817164Z [W1204 11:08:39.649781577 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3817200Z 2025-12-04T11:16:33.3817713Z [W1204 11:08:39.650445471 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3817730Z 2025-12-04T11:16:33.3818241Z [W1204 11:08:39.650673195 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3818276Z 2025-12-04T11:16:33.3818786Z [W1204 11:08:39.656677561 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3818795Z 2025-12-04T11:16:33.3819314Z [W1204 11:08:39.657296895 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3819320Z 2025-12-04T11:16:33.3819827Z [W1204 11:08:39.657488885 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3819834Z 2025-12-04T11:16:33.3819978Z ('RERUN', {'yellow': True}) [19.0979s] [100%] 2025-12-04T11:16:33.3821262Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:08:40.989146992 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3821270Z 2025-12-04T11:16:33.3821798Z [W1204 11:08:40.989872594 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3821807Z 2025-12-04T11:16:33.3822316Z [W1204 11:08:40.990092598 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3822321Z 2025-12-04T11:16:33.3822841Z [W1204 11:08:40.994028074 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3822848Z 2025-12-04T11:16:33.3823359Z [W1204 11:08:40.994814268 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3823364Z 2025-12-04T11:16:33.3823870Z [W1204 11:08:40.995004412 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3823877Z 2025-12-04T11:16:33.3824400Z [W1204 11:08:40.001039744 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3824404Z 2025-12-04T11:16:33.3824913Z [W1204 11:08:40.001658773 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3824917Z 2025-12-04T11:16:33.3825437Z [W1204 11:08:40.001864667 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3825442Z 2025-12-04T11:16:33.3825949Z [W1204 11:08:40.085511924 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3825954Z 2025-12-04T11:16:33.3826476Z [W1204 11:08:40.086134871 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3826483Z 2025-12-04T11:16:33.3826990Z [W1204 11:08:40.086328004 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3826994Z 2025-12-04T11:16:33.3827587Z [W1204 11:08:40.090185865 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3827592Z 2025-12-04T11:16:33.3828101Z [W1204 11:08:40.090808707 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3828106Z 2025-12-04T11:16:33.3828614Z [W1204 11:08:40.091001137 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3828661Z 2025-12-04T11:16:33.3829175Z [W1204 11:08:40.096946191 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3829210Z 2025-12-04T11:16:33.3829717Z [W1204 11:08:40.097717507 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3829722Z 2025-12-04T11:16:33.3830248Z [W1204 11:08:40.097909253 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3830253Z 2025-12-04T11:16:33.3830383Z ('RERUN', {'yellow': True}) [0.4008s] [100%] 2025-12-04T11:16:33.3831673Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:08:40.365104379 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3831681Z 2025-12-04T11:16:33.3832196Z [W1204 11:08:40.365788686 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3832204Z 2025-12-04T11:16:33.3832730Z [W1204 11:08:40.365987073 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3832736Z 2025-12-04T11:16:33.3833248Z [W1204 11:08:40.369878348 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3833253Z 2025-12-04T11:16:33.3833775Z [W1204 11:08:40.370670344 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3833779Z 2025-12-04T11:16:33.3834285Z [W1204 11:08:40.370867919 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3834292Z 2025-12-04T11:16:33.3834801Z [W1204 11:08:40.376816760 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3834818Z 2025-12-04T11:16:33.3835332Z [W1204 11:08:40.377421939 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3835337Z 2025-12-04T11:16:33.3835853Z [W1204 11:08:40.377609215 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3835858Z 2025-12-04T11:16:33.3836380Z [W1204 11:08:40.459977387 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3836385Z 2025-12-04T11:16:33.3836894Z [W1204 11:08:40.460647686 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3836901Z 2025-12-04T11:16:33.3837426Z [W1204 11:08:40.460846402 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3837431Z 2025-12-04T11:16:33.3837937Z [W1204 11:08:40.464707826 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3837943Z 2025-12-04T11:16:33.3838517Z [W1204 11:08:40.465310548 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3838523Z 2025-12-04T11:16:33.3839033Z [W1204 11:08:40.465502050 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3839038Z 2025-12-04T11:16:33.3839545Z [W1204 11:08:40.471447094 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3839592Z 2025-12-04T11:16:33.3840103Z [W1204 11:08:40.472220227 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3840108Z 2025-12-04T11:16:33.3840619Z [W1204 11:08:40.472412977 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3840654Z 2025-12-04T11:16:33.3840766Z FAILED [0.3726s] [100%] 2025-12-04T11:16:33.3840770Z 2025-12-04T11:16:33.3840918Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3841436Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3841558Z Traceback (most recent call last): 2025-12-04T11:16:33.3842072Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3842314Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3842780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3842957Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3843496Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3843702Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3843848Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3843853Z 2025-12-04T11:16:33.3843959Z Expected 1 but got 2. 2025-12-04T11:16:33.3844066Z Absolute difference: 1 2025-12-04T11:16:33.3844186Z Relative difference: 1.0 2025-12-04T11:16:33.3844191Z 2025-12-04T11:16:33.3844404Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3845319Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3845327Z 2025-12-04T11:16:33.3845593Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3845814Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3845941Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3846474Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3846712Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3846810Z graph_break [] 2025-12-04T11:16:33.3847026Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3848252Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3848371Z if out == self.unknown_value: 2025-12-04T11:16:33.3849112Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3849216Z warnings.warn( 2025-12-04T11:16:33.3850000Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3850113Z warnings.warn( 2025-12-04T11:16:33.3850619Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3850740Z Traceback (most recent call last): 2025-12-04T11:16:33.3851351Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3851619Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3852090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3852254Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3852828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3853049Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3853181Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3853186Z 2025-12-04T11:16:33.3853305Z Expected 1 but got 2. 2025-12-04T11:16:33.3853412Z Absolute difference: 1 2025-12-04T11:16:33.3853520Z Relative difference: 1.0 2025-12-04T11:16:33.3853525Z 2025-12-04T11:16:33.3853753Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3854666Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3854672Z 2025-12-04T11:16:33.3854952Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3855174Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3855287Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3855834Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3856060Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3856161Z graph_break [] 2025-12-04T11:16:33.3856391Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3857602Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3857732Z if out == self.unknown_value: 2025-12-04T11:16:33.3858463Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3858566Z warnings.warn( 2025-12-04T11:16:33.3859308Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3859410Z warnings.warn( 2025-12-04T11:16:33.3859638Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3859753Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3859981Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3860526Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3860625Z graph_break [] 2025-12-04T11:16:33.3860839Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3861583Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3861683Z warnings.warn( 2025-12-04T11:16:33.3862480Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3862581Z warnings.warn( 2025-12-04T11:16:33.3862728Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3863247Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3863403Z Traceback (most recent call last): 2025-12-04T11:16:33.3863909Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3864152Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3864643Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3864819Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3865363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3865572Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3865717Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3865722Z 2025-12-04T11:16:33.3865827Z Expected 1 but got 2. 2025-12-04T11:16:33.3865955Z Absolute difference: 1 2025-12-04T11:16:33.3866065Z Relative difference: 1.0 2025-12-04T11:16:33.3866070Z 2025-12-04T11:16:33.3866285Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3867215Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3867223Z 2025-12-04T11:16:33.3867493Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3867727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3867845Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3868376Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3868617Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3868720Z graph_break [] 2025-12-04T11:16:33.3868934Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3870169Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3870292Z if out == self.unknown_value: 2025-12-04T11:16:33.3871036Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3871139Z warnings.warn( 2025-12-04T11:16:33.3871867Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3871982Z warnings.warn( 2025-12-04T11:16:33.3872201Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3872332Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3872560Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3873093Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3873213Z graph_break [] 2025-12-04T11:16:33.3873428Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3874307Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3874422Z warnings.warn( 2025-12-04T11:16:33.3875151Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3875294Z warnings.warn( 2025-12-04T11:16:33.3875510Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3875625Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3875863Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3876426Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3876525Z graph_break [] 2025-12-04T11:16:33.3876756Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3877483Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3877594Z warnings.warn( 2025-12-04T11:16:33.3878313Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3878413Z warnings.warn( 2025-12-04T11:16:33.3879261Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-48739ca0b6ba05aa.xml - 2025-12-04T11:16:33.3879434Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3880396Z FAILED [0.3726s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3880403Z 2025-12-04T11:16:33.3880507Z Expected 1 but got 2. 2025-12-04T11:16:33.3880613Z Absolute difference: 1 2025-12-04T11:16:33.3880738Z Relative difference: 1.0 2025-12-04T11:16:33.3880743Z 2025-12-04T11:16:33.3880955Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3881876Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3881884Z 2025-12-04T11:16:33.3882146Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3882327Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3882533Z ================== 1 failed, 10 deselected, 2 rerun in 19.90s ================== 2025-12-04T11:16:33.3882635Z Got exit code 1 2025-12-04T11:16:33.3882747Z Retrying single test... 2025-12-04T11:16:33.3883206Z W1204 11:08:51.682000 93341 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3883871Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-105b7ca9b788e32c.xml 2025-12-04T11:16:33.3884043Z ============================= test session starts ============================== 2025-12-04T11:16:33.3884396Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3884507Z cachedir: .pytest_cache 2025-12-04T11:16:33.3885041Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3885165Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3885288Z configfile: pytest.ini 2025-12-04T11:16:33.3885889Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3886109Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.3887114Z stepcurrent: skipping 5 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3887258Z Running 1 items in this shard 2025-12-04T11:16:33.3887263Z 2025-12-04T11:16:33.3888554Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:08:55.931260105 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3888593Z 2025-12-04T11:16:33.3889116Z [W1204 11:09:10.231274785 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3889122Z 2025-12-04T11:16:33.3889647Z [W1204 11:09:10.231536998 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3889652Z 2025-12-04T11:16:33.3890164Z [W1204 11:09:10.238824808 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3890172Z 2025-12-04T11:16:33.3890683Z [W1204 11:09:10.239512613 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3890701Z 2025-12-04T11:16:33.3891289Z [W1204 11:09:10.239701054 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3891297Z 2025-12-04T11:16:33.3891807Z [W1204 11:09:10.246525666 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3891816Z 2025-12-04T11:16:33.3892335Z [W1204 11:09:10.247172457 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3892340Z 2025-12-04T11:16:33.3892850Z [W1204 11:09:10.247376252 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3892855Z 2025-12-04T11:16:33.3893379Z [W1204 11:09:12.242395608 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3893384Z 2025-12-04T11:16:33.3893894Z [W1204 11:09:12.244039695 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3893901Z 2025-12-04T11:16:33.3894423Z [W1204 11:09:12.244244404 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3894428Z 2025-12-04T11:16:33.3894939Z [W1204 11:09:12.248095190 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3894943Z 2025-12-04T11:16:33.3895463Z [W1204 11:09:12.248715731 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3895468Z 2025-12-04T11:16:33.3895976Z [W1204 11:09:12.248912341 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3895983Z 2025-12-04T11:16:33.3896493Z [W1204 11:09:12.254975752 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3896500Z 2025-12-04T11:16:33.3897018Z [W1204 11:09:12.255587003 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3897023Z 2025-12-04T11:16:33.3897595Z [W1204 11:09:12.255779496 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3897600Z 2025-12-04T11:16:33.3897744Z ('RERUN', {'yellow': True}) [19.0898s] [100%] 2025-12-04T11:16:33.3899022Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:09:12.585407647 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3899057Z 2025-12-04T11:16:33.3899586Z [W1204 11:09:12.586088551 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3899620Z 2025-12-04T11:16:33.3900130Z [W1204 11:09:12.586291174 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3900134Z 2025-12-04T11:16:33.3900660Z [W1204 11:09:12.590174416 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3900665Z 2025-12-04T11:16:33.3901175Z [W1204 11:09:12.590944205 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3901180Z 2025-12-04T11:16:33.3901691Z [W1204 11:09:12.591136744 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3901712Z 2025-12-04T11:16:33.3902222Z [W1204 11:09:12.597056538 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3902229Z 2025-12-04T11:16:33.3902740Z [W1204 11:09:12.597659033 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3902744Z 2025-12-04T11:16:33.3903271Z [W1204 11:09:12.597847183 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3903277Z 2025-12-04T11:16:33.3903785Z [W1204 11:09:12.681725548 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3903790Z 2025-12-04T11:16:33.3904314Z [W1204 11:09:12.682399762 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3904322Z 2025-12-04T11:16:33.3905060Z [W1204 11:09:12.682601065 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3905066Z 2025-12-04T11:16:33.3905596Z [W1204 11:09:12.686454679 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3905601Z 2025-12-04T11:16:33.3906117Z [W1204 11:09:12.687073325 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3906121Z 2025-12-04T11:16:33.3906645Z [W1204 11:09:12.687269696 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3906650Z 2025-12-04T11:16:33.3907160Z [W1204 11:09:12.693240823 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3907167Z 2025-12-04T11:16:33.3907675Z [W1204 11:09:12.694009540 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3907696Z 2025-12-04T11:16:33.3908210Z [W1204 11:09:12.694203419 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3908217Z 2025-12-04T11:16:33.3908346Z ('RERUN', {'yellow': True}) [0.3997s] [100%] 2025-12-04T11:16:33.3909749Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:09:13.962308570 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3909755Z 2025-12-04T11:16:33.3910269Z [W1204 11:09:13.962999642 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3910312Z 2025-12-04T11:16:33.3910839Z [W1204 11:09:13.963196522 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3910844Z 2025-12-04T11:16:33.3911356Z [W1204 11:09:13.967042543 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3911418Z 2025-12-04T11:16:33.3911951Z [W1204 11:09:13.967788635 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3911956Z 2025-12-04T11:16:33.3912468Z [W1204 11:09:13.967977827 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3912472Z 2025-12-04T11:16:33.3912981Z [W1204 11:09:13.974051886 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3913002Z 2025-12-04T11:16:33.3913511Z [W1204 11:09:13.974667518 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3913516Z 2025-12-04T11:16:33.3914031Z [W1204 11:09:13.974857063 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3914038Z 2025-12-04T11:16:33.3914565Z [W1204 11:09:13.056506712 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3914570Z 2025-12-04T11:16:33.3915079Z [W1204 11:09:13.057131230 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3915084Z 2025-12-04T11:16:33.3915611Z [W1204 11:09:13.057333924 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3915618Z 2025-12-04T11:16:33.3916126Z [W1204 11:09:13.061209616 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3916131Z 2025-12-04T11:16:33.3916657Z [W1204 11:09:13.061817019 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3916664Z 2025-12-04T11:16:33.3917173Z [W1204 11:09:13.062011810 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3917182Z 2025-12-04T11:16:33.3917709Z [W1204 11:09:13.067904814 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3917714Z 2025-12-04T11:16:33.3918222Z [W1204 11:09:13.068667766 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3918228Z 2025-12-04T11:16:33.3918738Z [W1204 11:09:13.068863759 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.3918756Z 2025-12-04T11:16:33.3918858Z FAILED [0.3722s] [100%] 2025-12-04T11:16:33.3918863Z 2025-12-04T11:16:33.3919004Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3919521Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3919705Z Traceback (most recent call last): 2025-12-04T11:16:33.3920217Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3920459Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3920923Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3921128Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3921663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3921868Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3922043Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3922048Z 2025-12-04T11:16:33.3922155Z Expected 1 but got 2. 2025-12-04T11:16:33.3922261Z Absolute difference: 1 2025-12-04T11:16:33.3922381Z Relative difference: 1.0 2025-12-04T11:16:33.3922387Z 2025-12-04T11:16:33.3922603Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3923522Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3923529Z 2025-12-04T11:16:33.3923795Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3924018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3924145Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3924679Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3924916Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3925016Z graph_break [] 2025-12-04T11:16:33.3925234Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3926466Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3926582Z if out == self.unknown_value: 2025-12-04T11:16:33.3927324Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3927430Z warnings.warn( 2025-12-04T11:16:33.3928158Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3928271Z warnings.warn( 2025-12-04T11:16:33.3928776Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3928915Z Traceback (most recent call last): 2025-12-04T11:16:33.3929425Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3929655Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3930127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3930293Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3930832Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3931129Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3931266Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3931271Z 2025-12-04T11:16:33.3931391Z Expected 1 but got 2. 2025-12-04T11:16:33.3931500Z Absolute difference: 1 2025-12-04T11:16:33.3931677Z Relative difference: 1.0 2025-12-04T11:16:33.3931683Z 2025-12-04T11:16:33.3931913Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3932822Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3932828Z 2025-12-04T11:16:33.3933158Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3933377Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3933494Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3934041Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3934300Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3934398Z graph_break [] 2025-12-04T11:16:33.3934627Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3935844Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3935976Z if out == self.unknown_value: 2025-12-04T11:16:33.3936706Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3936806Z warnings.warn( 2025-12-04T11:16:33.3937545Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3937645Z warnings.warn( 2025-12-04T11:16:33.3937880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3938001Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3938231Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3938775Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3938874Z graph_break [] 2025-12-04T11:16:33.3939092Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3939836Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3939939Z warnings.warn( 2025-12-04T11:16:33.3940686Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3940786Z warnings.warn( 2025-12-04T11:16:33.3940935Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3941459Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.3941583Z Traceback (most recent call last): 2025-12-04T11:16:33.3942112Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3942347Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3942808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3942990Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3943532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3943741Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3943956Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3943962Z 2025-12-04T11:16:33.3944070Z Expected 1 but got 2. 2025-12-04T11:16:33.3944190Z Absolute difference: 1 2025-12-04T11:16:33.3944300Z Relative difference: 1.0 2025-12-04T11:16:33.3944305Z 2025-12-04T11:16:33.3944520Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3945445Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3945482Z 2025-12-04T11:16:33.3945753Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3946017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3946136Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3946668Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3946914Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3947017Z graph_break [] 2025-12-04T11:16:33.3947231Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3948462Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.3948580Z if out == self.unknown_value: 2025-12-04T11:16:33.3949329Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3949436Z warnings.warn( 2025-12-04T11:16:33.3950164Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3950276Z warnings.warn( 2025-12-04T11:16:33.3950492Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3950619Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3950842Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3951377Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3951488Z graph_break [] 2025-12-04T11:16:33.3951703Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3952432Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3952543Z warnings.warn( 2025-12-04T11:16:33.3953271Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3953384Z warnings.warn( 2025-12-04T11:16:33.3953599Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3953714Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3953954Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3954486Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3954594Z graph_break [] 2025-12-04T11:16:33.3954805Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3955539Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3955715Z warnings.warn( 2025-12-04T11:16:33.3956435Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3956534Z warnings.warn( 2025-12-04T11:16:33.3957390Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-105b7ca9b788e32c.xml - 2025-12-04T11:16:33.3957607Z =========================== short test summary info ============================ 2025-12-04T11:16:33.3958562Z FAILED [0.3722s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3958597Z 2025-12-04T11:16:33.3958705Z Expected 1 but got 2. 2025-12-04T11:16:33.3958810Z Absolute difference: 1 2025-12-04T11:16:33.3958931Z Relative difference: 1.0 2025-12-04T11:16:33.3958940Z 2025-12-04T11:16:33.3959153Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3960079Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3960085Z 2025-12-04T11:16:33.3960354Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3960535Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.3960745Z ================== 1 failed, 10 deselected, 2 rerun in 19.89s ================== 2025-12-04T11:16:33.3960843Z Got exit code 1 2025-12-04T11:16:33.3961681Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.3962095Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.3962545Z W1204 11:09:24.163000 93522 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.3963223Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-a860da0603b60acc.xml 2025-12-04T11:16:33.3963389Z ============================= test session starts ============================== 2025-12-04T11:16:33.3963755Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.3963865Z cachedir: .pytest_cache 2025-12-04T11:16:33.3964385Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.3964521Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.3964630Z configfile: pytest.ini 2025-12-04T11:16:33.3965176Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.3965401Z collecting ... collected 58 items / 6 deselected / 52 selected 2025-12-04T11:16:33.3965540Z stepcurrent: skipping 6 already run items. 2025-12-04T11:16:33.3965665Z Running 5 items in this shard 2025-12-04T11:16:33.3965670Z 2025-12-04T11:16:33.3966549Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 ('RERUN', {'yellow': True}) [3.8542s] [ 20%] 2025-12-04T11:16:33.3967411Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.4646s] [ 20%] 2025-12-04T11:16:33.3968272Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 FAILED [0.4557s] [ 20%] 2025-12-04T11:16:33.3968278Z 2025-12-04T11:16:33.3968420Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.3968939Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3969061Z Traceback (most recent call last): 2025-12-04T11:16:33.3969585Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3969855Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3970320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3970528Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3971158Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3971374Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3971523Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3971528Z 2025-12-04T11:16:33.3971636Z Expected 1 but got 2. 2025-12-04T11:16:33.3971758Z Absolute difference: 1 2025-12-04T11:16:33.3971868Z Relative difference: 1.0 2025-12-04T11:16:33.3971873Z 2025-12-04T11:16:33.3972089Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3973023Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3973029Z 2025-12-04T11:16:33.3973301Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3973535Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3973652Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3974191Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3974435Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3974537Z graph_break [] 2025-12-04T11:16:33.3974754Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3975508Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3975610Z warnings.warn( 2025-12-04T11:16:33.3976349Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3976452Z warnings.warn( 2025-12-04T11:16:33.3976966Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3977101Z Traceback (most recent call last): 2025-12-04T11:16:33.3977610Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3977853Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3978314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3978480Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3979028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3979230Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3979364Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3979369Z 2025-12-04T11:16:33.3979484Z Expected 1 but got 2. 2025-12-04T11:16:33.3979591Z Absolute difference: 1 2025-12-04T11:16:33.3979785Z Relative difference: 1.0 2025-12-04T11:16:33.3979790Z 2025-12-04T11:16:33.3980005Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3980915Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3980951Z 2025-12-04T11:16:33.3981232Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3981450Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3981577Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3982108Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3982392Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3982503Z graph_break [] 2025-12-04T11:16:33.3982722Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3983454Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3983569Z warnings.warn( 2025-12-04T11:16:33.3984294Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3984408Z warnings.warn( 2025-12-04T11:16:33.3984620Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3984732Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3984976Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3985509Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3985621Z graph_break [] 2025-12-04T11:16:33.3985833Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3986565Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3986678Z warnings.warn( 2025-12-04T11:16:33.3987402Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3987503Z warnings.warn( 2025-12-04T11:16:33.3987657Z =================================== FAILURES =================================== 2025-12-04T11:16:33.3988167Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.3988302Z Traceback (most recent call last): 2025-12-04T11:16:33.3988817Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.3989048Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.3989522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.3989687Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.3990230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.3990448Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.3990585Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.3990592Z 2025-12-04T11:16:33.3990711Z Expected 1 but got 2. 2025-12-04T11:16:33.3990819Z Absolute difference: 1 2025-12-04T11:16:33.3990927Z Relative difference: 1.0 2025-12-04T11:16:33.3990932Z 2025-12-04T11:16:33.3991219Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.3992135Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.3992141Z 2025-12-04T11:16:33.3992422Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.3992668Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3992782Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3993329Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3993587Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3993698Z graph_break [] 2025-12-04T11:16:33.3993912Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3994655Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3994766Z warnings.warn( 2025-12-04T11:16:33.3995493Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3995597Z warnings.warn( 2025-12-04T11:16:33.3995822Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3995936Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3996173Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3996708Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3996808Z graph_break [] 2025-12-04T11:16:33.3997036Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.3997761Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3997861Z warnings.warn( 2025-12-04T11:16:33.3998597Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.3998698Z warnings.warn( 2025-12-04T11:16:33.3998925Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.3999041Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.3999269Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.3999810Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.3999912Z graph_break [] 2025-12-04T11:16:33.4000124Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4000863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4000966Z warnings.warn( 2025-12-04T11:16:33.4001706Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4001811Z warnings.warn( 2025-12-04T11:16:33.4002656Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-a860da0603b60acc.xml - 2025-12-04T11:16:33.4002845Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4003875Z FAILED [0.4557s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4003882Z 2025-12-04T11:16:33.4004007Z Expected 1 but got 2. 2025-12-04T11:16:33.4004114Z Absolute difference: 1 2025-12-04T11:16:33.4004227Z Relative difference: 1.0 2025-12-04T11:16:33.4004232Z 2025-12-04T11:16:33.4004734Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4005712Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4005718Z 2025-12-04T11:16:33.4006059Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4006240Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4006442Z =================== 1 failed, 6 deselected, 2 rerun in 4.81s =================== 2025-12-04T11:16:33.4006558Z Got exit code 1 2025-12-04T11:16:33.4006668Z Retrying single test... 2025-12-04T11:16:33.4007130Z W1204 11:09:43.559000 93698 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4007796Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-03c99ae51df70042.xml 2025-12-04T11:16:33.4007965Z ============================= test session starts ============================== 2025-12-04T11:16:33.4008335Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4008446Z cachedir: .pytest_cache 2025-12-04T11:16:33.4008972Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4009114Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4009230Z configfile: pytest.ini 2025-12-04T11:16:33.4009787Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4010006Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.4011081Z stepcurrent: skipping 6 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4011218Z Running 1 items in this shard 2025-12-04T11:16:33.4011224Z 2025-12-04T11:16:33.4012511Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 [W1204 11:09:47.905541197 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4012520Z 2025-12-04T11:16:33.4013062Z [W1204 11:10:02.033778564 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4013067Z 2025-12-04T11:16:33.4013583Z [W1204 11:10:02.034038572 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4013588Z 2025-12-04T11:16:33.4014115Z [W1204 11:10:02.041314546 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4014122Z 2025-12-04T11:16:33.4014634Z [W1204 11:10:02.041992205 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4014639Z 2025-12-04T11:16:33.4015169Z [W1204 11:10:02.042181004 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4015174Z 2025-12-04T11:16:33.4015772Z [W1204 11:10:02.048925018 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4015778Z 2025-12-04T11:16:33.4016293Z [W1204 11:10:02.049532996 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4016310Z 2025-12-04T11:16:33.4016822Z [W1204 11:10:02.049719291 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4016858Z 2025-12-04T11:16:33.4017371Z [W1204 11:10:04.046497686 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4017376Z 2025-12-04T11:16:33.4017899Z [W1204 11:10:04.048139861 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4017934Z 2025-12-04T11:16:33.4018452Z [W1204 11:10:04.048348302 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4018456Z 2025-12-04T11:16:33.4018980Z [W1204 11:10:04.052251176 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4018985Z 2025-12-04T11:16:33.4019500Z [W1204 11:10:04.052874575 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4019506Z 2025-12-04T11:16:33.4020027Z [W1204 11:10:04.053068301 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4020032Z 2025-12-04T11:16:33.4020543Z [W1204 11:10:04.059088904 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4020551Z 2025-12-04T11:16:33.4021076Z [W1204 11:10:04.059695498 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4021081Z 2025-12-04T11:16:33.4021592Z [W1204 11:10:04.059888595 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4021597Z 2025-12-04T11:16:33.4021729Z ('RERUN', {'yellow': True}) [19.0138s] [100%] 2025-12-04T11:16:33.4023028Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 [W1204 11:10:04.475950836 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4023037Z 2025-12-04T11:16:33.4023552Z [W1204 11:10:04.476644901 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4023559Z 2025-12-04T11:16:33.4024083Z [W1204 11:10:04.476848391 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4024088Z 2025-12-04T11:16:33.4024604Z [W1204 11:10:04.480768381 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4024609Z 2025-12-04T11:16:33.4025134Z [W1204 11:10:04.481527928 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4025142Z 2025-12-04T11:16:33.4025650Z [W1204 11:10:04.481719707 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4025655Z 2025-12-04T11:16:33.4026177Z [W1204 11:10:04.487722768 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4026184Z 2025-12-04T11:16:33.4026760Z [W1204 11:10:04.488332992 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4026765Z 2025-12-04T11:16:33.4027272Z [W1204 11:10:04.488521746 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4027288Z 2025-12-04T11:16:33.4027798Z [W1204 11:10:04.571124014 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4027831Z 2025-12-04T11:16:33.4028345Z [W1204 11:10:04.571748945 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4028350Z 2025-12-04T11:16:33.4028873Z [W1204 11:10:04.571944495 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4028907Z 2025-12-04T11:16:33.4029422Z [W1204 11:10:04.575812052 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4029431Z 2025-12-04T11:16:33.4029954Z [W1204 11:10:04.576424312 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4029959Z 2025-12-04T11:16:33.4030469Z [W1204 11:10:04.576618989 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4030474Z 2025-12-04T11:16:33.4031001Z [W1204 11:10:04.582569797 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4031005Z 2025-12-04T11:16:33.4031522Z [W1204 11:10:04.583356785 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4031529Z 2025-12-04T11:16:33.4032053Z [W1204 11:10:04.583551643 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4032058Z 2025-12-04T11:16:33.4032191Z ('RERUN', {'yellow': True}) [0.4843s] [100%] 2025-12-04T11:16:33.4033469Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 [W1204 11:10:05.927370280 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4033490Z 2025-12-04T11:16:33.4034005Z [W1204 11:10:05.928057268 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4034010Z 2025-12-04T11:16:33.4034521Z [W1204 11:10:05.928256924 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4034528Z 2025-12-04T11:16:33.4035049Z [W1204 11:10:05.932189234 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4035054Z 2025-12-04T11:16:33.4035569Z [W1204 11:10:05.932949508 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4035573Z 2025-12-04T11:16:33.4036097Z [W1204 11:10:05.933141001 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4036102Z 2025-12-04T11:16:33.4036615Z [W1204 11:10:05.939070042 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4036620Z 2025-12-04T11:16:33.4037140Z [W1204 11:10:05.939676355 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4037147Z 2025-12-04T11:16:33.4037657Z [W1204 11:10:05.939866383 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4037662Z 2025-12-04T11:16:33.4038245Z [W1204 11:10:05.022754000 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4038250Z 2025-12-04T11:16:33.4038759Z [W1204 11:10:05.023447507 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4038763Z 2025-12-04T11:16:33.4039273Z [W1204 11:10:05.023651564 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4039311Z 2025-12-04T11:16:33.4039834Z [W1204 11:10:05.027540429 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4039869Z 2025-12-04T11:16:33.4040380Z [W1204 11:10:05.028159952 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4040384Z 2025-12-04T11:16:33.4040911Z [W1204 11:10:05.028355504 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4040916Z 2025-12-04T11:16:33.4041428Z [W1204 11:10:05.034329163 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4041433Z 2025-12-04T11:16:33.4041953Z [W1204 11:10:05.035122729 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4041960Z 2025-12-04T11:16:33.4042470Z [W1204 11:10:05.035317012 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4042475Z 2025-12-04T11:16:33.4042593Z FAILED [0.4510s] [100%] 2025-12-04T11:16:33.4042598Z 2025-12-04T11:16:33.4042742Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4043257Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.4043395Z Traceback (most recent call last): 2025-12-04T11:16:33.4043908Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4044137Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4044614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4044782Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4045332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4045541Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4045674Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4045679Z 2025-12-04T11:16:33.4045799Z Expected 1 but got 2. 2025-12-04T11:16:33.4045910Z Absolute difference: 1 2025-12-04T11:16:33.4046033Z Relative difference: 1.0 2025-12-04T11:16:33.4046038Z 2025-12-04T11:16:33.4046250Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4047160Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4047168Z 2025-12-04T11:16:33.4047447Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4047667Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4047797Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4048334Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4048558Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4048747Z graph_break [] 2025-12-04T11:16:33.4048962Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4050186Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4050344Z if out == self.unknown_value: 2025-12-04T11:16:33.4051172Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4051293Z warnings.warn( 2025-12-04T11:16:33.4052125Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4052225Z warnings.warn( 2025-12-04T11:16:33.4052755Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.4052878Z Traceback (most recent call last): 2025-12-04T11:16:33.4053402Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4053631Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4054092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4054271Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4054810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4055020Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4055164Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4055169Z 2025-12-04T11:16:33.4055279Z Expected 1 but got 2. 2025-12-04T11:16:33.4055401Z Absolute difference: 1 2025-12-04T11:16:33.4055510Z Relative difference: 1.0 2025-12-04T11:16:33.4055515Z 2025-12-04T11:16:33.4055729Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4056655Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4056663Z 2025-12-04T11:16:33.4056930Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4057160Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4057276Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4057809Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4058050Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4058149Z graph_break [] 2025-12-04T11:16:33.4058365Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4059704Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4059828Z if out == self.unknown_value: 2025-12-04T11:16:33.4060571Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4060677Z warnings.warn( 2025-12-04T11:16:33.4061403Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4061516Z warnings.warn( 2025-12-04T11:16:33.4061821Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4061954Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4062183Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4062719Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4062861Z graph_break [] 2025-12-04T11:16:33.4063081Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4063822Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4063954Z warnings.warn( 2025-12-04T11:16:33.4064682Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4064797Z warnings.warn( 2025-12-04T11:16:33.4064942Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4065453Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.4065590Z Traceback (most recent call last): 2025-12-04T11:16:33.4066103Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4066352Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4066811Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4066976Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4067527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4067738Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4067872Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4067889Z 2025-12-04T11:16:33.4067996Z Expected 1 but got 2. 2025-12-04T11:16:33.4068102Z Absolute difference: 1 2025-12-04T11:16:33.4068222Z Relative difference: 1.0 2025-12-04T11:16:33.4068227Z 2025-12-04T11:16:33.4068441Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4069354Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4069360Z 2025-12-04T11:16:33.4069644Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4069862Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4069991Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4070530Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4070758Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4070868Z graph_break [] 2025-12-04T11:16:33.4071086Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4072316Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4072432Z if out == self.unknown_value: 2025-12-04T11:16:33.4073163Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4073288Z warnings.warn( 2025-12-04T11:16:33.4074072Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4074174Z warnings.warn( 2025-12-04T11:16:33.4074405Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4074522Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4074794Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4075324Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4075424Z graph_break [] 2025-12-04T11:16:33.4075683Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4076419Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4076535Z warnings.warn( 2025-12-04T11:16:33.4077256Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4077359Z warnings.warn( 2025-12-04T11:16:33.4077588Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4077707Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4077934Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4078482Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4078584Z graph_break [] 2025-12-04T11:16:33.4078813Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4079550Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4079652Z warnings.warn( 2025-12-04T11:16:33.4080392Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4080494Z warnings.warn( 2025-12-04T11:16:33.4081340Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-03c99ae51df70042.xml - 2025-12-04T11:16:33.4081532Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4082482Z FAILED [0.4510s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4082490Z 2025-12-04T11:16:33.4082614Z Expected 1 but got 2. 2025-12-04T11:16:33.4082729Z Absolute difference: 1 2025-12-04T11:16:33.4082840Z Relative difference: 1.0 2025-12-04T11:16:33.4082857Z 2025-12-04T11:16:33.4083075Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4083983Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4083991Z 2025-12-04T11:16:33.4084276Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4084458Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4084653Z ================== 1 failed, 10 deselected, 2 rerun in 19.98s ================== 2025-12-04T11:16:33.4084769Z Got exit code 1 2025-12-04T11:16:33.4084875Z Retrying single test... 2025-12-04T11:16:33.4085392Z W1204 11:10:16.039000 93879 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4086063Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-84ac60ace1b75595.xml 2025-12-04T11:16:33.4086225Z ============================= test session starts ============================== 2025-12-04T11:16:33.4086588Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4086725Z cachedir: .pytest_cache 2025-12-04T11:16:33.4087262Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4087384Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4087543Z configfile: pytest.ini 2025-12-04T11:16:33.4088101Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4088323Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.4089318Z stepcurrent: skipping 6 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4089443Z Running 1 items in this shard 2025-12-04T11:16:33.4089448Z 2025-12-04T11:16:33.4090735Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 [W1204 11:10:19.394119660 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4090744Z 2025-12-04T11:16:33.4091353Z [W1204 11:10:34.719308214 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4091360Z 2025-12-04T11:16:33.4091880Z [W1204 11:10:34.719565612 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4091886Z 2025-12-04T11:16:33.4092411Z [W1204 11:10:34.726797450 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4092417Z 2025-12-04T11:16:33.4092926Z [W1204 11:10:34.727456028 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4092933Z 2025-12-04T11:16:33.4093458Z [W1204 11:10:34.727642567 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4093463Z 2025-12-04T11:16:33.4093972Z [W1204 11:10:34.734456657 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4093979Z 2025-12-04T11:16:33.4094509Z [W1204 11:10:34.735081394 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4094514Z 2025-12-04T11:16:33.4095026Z [W1204 11:10:34.735265137 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4095031Z 2025-12-04T11:16:33.4095541Z [W1204 11:10:36.731242927 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4095548Z 2025-12-04T11:16:33.4096069Z [W1204 11:10:36.732852304 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4096074Z 2025-12-04T11:16:33.4096587Z [W1204 11:10:36.733054611 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4096595Z 2025-12-04T11:16:33.4097120Z [W1204 11:10:36.736910348 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4097193Z 2025-12-04T11:16:33.4097708Z [W1204 11:10:36.737531472 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4097712Z 2025-12-04T11:16:33.4098233Z [W1204 11:10:36.737725607 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4098268Z 2025-12-04T11:16:33.4098783Z [W1204 11:10:36.743739608 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4098789Z 2025-12-04T11:16:33.4099315Z [W1204 11:10:36.744349701 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4099350Z 2025-12-04T11:16:33.4099862Z [W1204 11:10:36.744541398 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4099870Z 2025-12-04T11:16:33.4100003Z ('RERUN', {'yellow': True}) [19.2108s] [100%] 2025-12-04T11:16:33.4101303Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 [W1204 11:10:37.154100836 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4101311Z 2025-12-04T11:16:33.4101827Z [W1204 11:10:37.154799322 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4101832Z 2025-12-04T11:16:33.4102361Z [W1204 11:10:37.154999093 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4102368Z 2025-12-04T11:16:33.4102882Z [W1204 11:10:37.158877260 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4102891Z 2025-12-04T11:16:33.4103415Z [W1204 11:10:37.159630688 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4103419Z 2025-12-04T11:16:33.4103930Z [W1204 11:10:37.159821321 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4103937Z 2025-12-04T11:16:33.4104688Z [W1204 11:10:37.165800782 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4104696Z 2025-12-04T11:16:33.4105250Z [W1204 11:10:37.166405057 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4105259Z 2025-12-04T11:16:33.4105783Z [W1204 11:10:37.166592099 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4105787Z 2025-12-04T11:16:33.4106302Z [W1204 11:10:37.248854202 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4106307Z 2025-12-04T11:16:33.4106815Z [W1204 11:10:37.249473488 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4106832Z 2025-12-04T11:16:33.4107348Z [W1204 11:10:37.249669042 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4107353Z 2025-12-04T11:16:33.4107863Z [W1204 11:10:37.253513845 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4107870Z 2025-12-04T11:16:33.4108394Z [W1204 11:10:37.254120123 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4108399Z 2025-12-04T11:16:33.4109021Z [W1204 11:10:37.254314518 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4109027Z 2025-12-04T11:16:33.4109552Z [W1204 11:10:37.260258460 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4109557Z 2025-12-04T11:16:33.4110067Z [W1204 11:10:37.261020355 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4110113Z 2025-12-04T11:16:33.4110639Z [W1204 11:10:37.261214801 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4110688Z 2025-12-04T11:16:33.4110820Z ('RERUN', {'yellow': True}) [0.4779s] [100%] 2025-12-04T11:16:33.4112111Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 [W1204 11:10:37.602346715 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4112131Z 2025-12-04T11:16:33.4112645Z [W1204 11:10:37.603035693 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4112650Z 2025-12-04T11:16:33.4113161Z [W1204 11:10:37.603232808 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4113167Z 2025-12-04T11:16:33.4113696Z [W1204 11:10:37.607105411 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4113703Z 2025-12-04T11:16:33.4114213Z [W1204 11:10:37.607851151 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4114218Z 2025-12-04T11:16:33.4114752Z [W1204 11:10:37.608039755 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4114757Z 2025-12-04T11:16:33.4115269Z [W1204 11:10:37.614019073 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4115274Z 2025-12-04T11:16:33.4115802Z [W1204 11:10:37.614622206 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4115808Z 2025-12-04T11:16:33.4116322Z [W1204 11:10:37.614820754 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4116327Z 2025-12-04T11:16:33.4116851Z [W1204 11:10:37.697512227 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4116855Z 2025-12-04T11:16:33.4117370Z [W1204 11:10:37.698196024 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4117375Z 2025-12-04T11:16:33.4117885Z [W1204 11:10:37.698394325 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4117903Z 2025-12-04T11:16:33.4118416Z [W1204 11:10:37.702287293 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4118424Z 2025-12-04T11:16:33.4118934Z [W1204 11:10:37.702912703 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4118939Z 2025-12-04T11:16:33.4119463Z [W1204 11:10:37.703107030 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4119470Z 2025-12-04T11:16:33.4120046Z [W1204 11:10:37.709050998 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4120052Z 2025-12-04T11:16:33.4120577Z [W1204 11:10:37.709813083 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4120581Z 2025-12-04T11:16:33.4121090Z [W1204 11:10:37.710025917 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4121126Z 2025-12-04T11:16:33.4121242Z FAILED [0.4473s] [100%] 2025-12-04T11:16:33.4121247Z 2025-12-04T11:16:33.4121390Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4121901Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.4122070Z Traceback (most recent call last): 2025-12-04T11:16:33.4122590Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4122834Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4123304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4123466Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4124025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4124232Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4124366Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4124384Z 2025-12-04T11:16:33.4124491Z Expected 1 but got 2. 2025-12-04T11:16:33.4124601Z Absolute difference: 1 2025-12-04T11:16:33.4124724Z Relative difference: 1.0 2025-12-04T11:16:33.4124729Z 2025-12-04T11:16:33.4124941Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4125857Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4125863Z 2025-12-04T11:16:33.4126145Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4126365Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4126497Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4127030Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4127257Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4127371Z graph_break [] 2025-12-04T11:16:33.4127588Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4128829Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4128945Z if out == self.unknown_value: 2025-12-04T11:16:33.4129676Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4129794Z warnings.warn( 2025-12-04T11:16:33.4130519Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4130620Z warnings.warn( 2025-12-04T11:16:33.4131226Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.4131352Z Traceback (most recent call last): 2025-12-04T11:16:33.4131956Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4132187Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4132648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4132825Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4133411Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4133629Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4133761Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4133767Z 2025-12-04T11:16:33.4133902Z Expected 1 but got 2. 2025-12-04T11:16:33.4134021Z Absolute difference: 1 2025-12-04T11:16:33.4134131Z Relative difference: 1.0 2025-12-04T11:16:33.4134136Z 2025-12-04T11:16:33.4134351Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4135283Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4135289Z 2025-12-04T11:16:33.4135557Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4135789Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4135906Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4136442Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4136683Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4136789Z graph_break [] 2025-12-04T11:16:33.4137021Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4138240Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4138362Z if out == self.unknown_value: 2025-12-04T11:16:33.4139108Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4139211Z warnings.warn( 2025-12-04T11:16:33.4139946Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4140049Z warnings.warn( 2025-12-04T11:16:33.4140265Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4140396Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4140627Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4141159Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4141273Z graph_break [] 2025-12-04T11:16:33.4141487Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4142229Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4142335Z warnings.warn( 2025-12-04T11:16:33.4143054Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4143170Z warnings.warn( 2025-12-04T11:16:33.4143316Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4143893Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 _ 2025-12-04T11:16:33.4144032Z Traceback (most recent call last): 2025-12-04T11:16:33.4144538Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4144780Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4145278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4145442Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4145992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4146232Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4146378Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4146383Z 2025-12-04T11:16:33.4146491Z Expected 1 but got 2. 2025-12-04T11:16:33.4146603Z Absolute difference: 1 2025-12-04T11:16:33.4146725Z Relative difference: 1.0 2025-12-04T11:16:33.4146730Z 2025-12-04T11:16:33.4146945Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4147862Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4147883Z 2025-12-04T11:16:33.4148152Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4148371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4148503Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4149039Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4149271Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4149385Z graph_break [] 2025-12-04T11:16:33.4149602Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4150834Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4150954Z if out == self.unknown_value: 2025-12-04T11:16:33.4151684Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4151801Z warnings.warn( 2025-12-04T11:16:33.4152532Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4152648Z warnings.warn( 2025-12-04T11:16:33.4152873Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4152991Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4153238Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4153771Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4153873Z graph_break [] 2025-12-04T11:16:33.4154108Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4154838Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4154961Z warnings.warn( 2025-12-04T11:16:33.4155685Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4155845Z warnings.warn( 2025-12-04T11:16:33.4156074Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4186851Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4187210Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4187754Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4187983Z graph_break [] 2025-12-04T11:16:33.4188220Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4188978Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4189128Z warnings.warn( 2025-12-04T11:16:33.4189871Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4189979Z warnings.warn( 2025-12-04T11:16:33.4190830Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-84ac60ace1b75595.xml - 2025-12-04T11:16:33.4191009Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4191959Z FAILED [0.4473s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4191968Z 2025-12-04T11:16:33.4192076Z Expected 1 but got 2. 2025-12-04T11:16:33.4192194Z Absolute difference: 1 2025-12-04T11:16:33.4192303Z Relative difference: 1.0 2025-12-04T11:16:33.4192309Z 2025-12-04T11:16:33.4192537Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4193446Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4193452Z 2025-12-04T11:16:33.4193718Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4193907Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4194107Z ================== 1 failed, 10 deselected, 2 rerun in 20.17s ================== 2025-12-04T11:16:33.4194216Z Got exit code 1 2025-12-04T11:16:33.4195041Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16 2025-12-04T11:16:33.4195454Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.4195910Z W1204 11:10:48.714000 94060 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4196575Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-a8b4e0c5c79026e4.xml 2025-12-04T11:16:33.4196748Z ============================= test session starts ============================== 2025-12-04T11:16:33.4197097Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4197205Z cachedir: .pytest_cache 2025-12-04T11:16:33.4197732Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4197854Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4197964Z configfile: pytest.ini 2025-12-04T11:16:33.4198516Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4198879Z collecting ... collected 58 items / 7 deselected / 51 selected 2025-12-04T11:16:33.4199031Z stepcurrent: skipping 7 already run items. 2025-12-04T11:16:33.4199143Z Running 4 items in this shard 2025-12-04T11:16:33.4199148Z 2025-12-04T11:16:33.4200011Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [3.7981s] [ 25%] 2025-12-04T11:16:33.4200902Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.3802s] [ 25%] 2025-12-04T11:16:33.4201673Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 FAILED [0.3848s] [ 25%] 2025-12-04T11:16:33.4201718Z 2025-12-04T11:16:33.4201872Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4202368Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4202487Z Traceback (most recent call last): 2025-12-04T11:16:33.4203007Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4203230Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4203706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4203862Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4204398Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4204821Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4204951Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4204962Z 2025-12-04T11:16:33.4205075Z Expected 1 but got 2. 2025-12-04T11:16:33.4205176Z Absolute difference: 1 2025-12-04T11:16:33.4205283Z Relative difference: 1.0 2025-12-04T11:16:33.4205288Z 2025-12-04T11:16:33.4205510Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4206407Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4206415Z 2025-12-04T11:16:33.4206687Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4206901Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4207018Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4207557Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4207784Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4207876Z graph_break [] 2025-12-04T11:16:33.4208104Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4208844Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4208955Z warnings.warn( 2025-12-04T11:16:33.4209684Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4209778Z warnings.warn( 2025-12-04T11:16:33.4210290Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4210404Z Traceback (most recent call last): 2025-12-04T11:16:33.4211119Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4211372Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4211827Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4211995Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4212574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4212775Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4212908Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4212981Z 2025-12-04T11:16:33.4213083Z Expected 1 but got 2. 2025-12-04T11:16:33.4213192Z Absolute difference: 1 2025-12-04T11:16:33.4213297Z Relative difference: 1.0 2025-12-04T11:16:33.4213303Z 2025-12-04T11:16:33.4213518Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4214426Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4214431Z 2025-12-04T11:16:33.4214699Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4214924Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4215035Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4215563Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4215801Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4215897Z graph_break [] 2025-12-04T11:16:33.4216107Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4216845Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4216938Z warnings.warn( 2025-12-04T11:16:33.4217668Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4217763Z warnings.warn( 2025-12-04T11:16:33.4217973Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4218091Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4218311Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4218841Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4218944Z graph_break [] 2025-12-04T11:16:33.4219157Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4219892Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4219989Z warnings.warn( 2025-12-04T11:16:33.4220708Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4220817Z warnings.warn( 2025-12-04T11:16:33.4220959Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4221463Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4221584Z Traceback (most recent call last): 2025-12-04T11:16:33.4222087Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4222386Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4222851Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4223009Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4223553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4223784Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4223925Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4223930Z 2025-12-04T11:16:33.4224031Z Expected 1 but got 2. 2025-12-04T11:16:33.4224133Z Absolute difference: 1 2025-12-04T11:16:33.4224286Z Relative difference: 1.0 2025-12-04T11:16:33.4224291Z 2025-12-04T11:16:33.4224499Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4225405Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4225421Z 2025-12-04T11:16:33.4225687Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4225900Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4226024Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4226549Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4226773Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4226877Z graph_break [] 2025-12-04T11:16:33.4227087Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4227833Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4227928Z warnings.warn( 2025-12-04T11:16:33.4228648Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4228753Z warnings.warn( 2025-12-04T11:16:33.4228959Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4229076Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4229309Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4229832Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4229941Z graph_break [] 2025-12-04T11:16:33.4230146Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4230873Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4230980Z warnings.warn( 2025-12-04T11:16:33.4231700Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4231804Z warnings.warn( 2025-12-04T11:16:33.4232015Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4232125Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4232358Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4232882Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4232976Z graph_break [] 2025-12-04T11:16:33.4233193Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4233966Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4234073Z warnings.warn( 2025-12-04T11:16:33.4234787Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4234911Z warnings.warn( 2025-12-04T11:16:33.4235760Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-a8b4e0c5c79026e4.xml - 2025-12-04T11:16:33.4235926Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4236903Z FAILED [0.3848s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4236914Z 2025-12-04T11:16:33.4237016Z Expected 1 but got 2. 2025-12-04T11:16:33.4237117Z Absolute difference: 1 2025-12-04T11:16:33.4237238Z Relative difference: 1.0 2025-12-04T11:16:33.4237243Z 2025-12-04T11:16:33.4237450Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4238358Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4238366Z 2025-12-04T11:16:33.4238625Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4238796Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4238999Z =================== 1 failed, 7 deselected, 2 rerun in 4.59s =================== 2025-12-04T11:16:33.4239091Z Got exit code 1 2025-12-04T11:16:33.4239191Z Retrying single test... 2025-12-04T11:16:33.4239648Z W1204 11:11:08.057000 94229 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4240307Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-144c218e89abb79d.xml 2025-12-04T11:16:33.4240474Z ============================= test session starts ============================== 2025-12-04T11:16:33.4240822Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4240927Z cachedir: .pytest_cache 2025-12-04T11:16:33.4241451Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4241571Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4241683Z configfile: pytest.ini 2025-12-04T11:16:33.4242225Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4242438Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.4243428Z stepcurrent: skipping 7 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4243537Z Running 1 items in this shard 2025-12-04T11:16:33.4243544Z 2025-12-04T11:16:33.4244823Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:11:11.323480587 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4244832Z 2025-12-04T11:16:33.4245349Z [W1204 11:11:27.051818846 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4245355Z 2025-12-04T11:16:33.4245942Z [W1204 11:11:27.052071969 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4245947Z 2025-12-04T11:16:33.4246456Z [W1204 11:11:27.059246240 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4246461Z 2025-12-04T11:16:33.4246966Z [W1204 11:11:27.059894429 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4247000Z 2025-12-04T11:16:33.4247515Z [W1204 11:11:27.060102046 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4247549Z 2025-12-04T11:16:33.4248058Z [W1204 11:11:27.066877568 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4248063Z 2025-12-04T11:16:33.4248579Z [W1204 11:11:27.067488452 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4248584Z 2025-12-04T11:16:33.4249091Z [W1204 11:11:27.067674027 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4249095Z 2025-12-04T11:16:33.4249605Z [W1204 11:11:29.084350612 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4249612Z 2025-12-04T11:16:33.4250119Z [W1204 11:11:29.085975559 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4250126Z 2025-12-04T11:16:33.4250643Z [W1204 11:11:29.086173808 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4250648Z 2025-12-04T11:16:33.4251273Z [W1204 11:11:29.089971732 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4251279Z 2025-12-04T11:16:33.4251784Z [W1204 11:11:29.090603864 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4251802Z 2025-12-04T11:16:33.4252308Z [W1204 11:11:29.090813753 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4252315Z 2025-12-04T11:16:33.4252821Z [W1204 11:11:29.096785645 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4252826Z 2025-12-04T11:16:33.4253344Z [W1204 11:11:29.097389490 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4253349Z 2025-12-04T11:16:33.4253858Z [W1204 11:11:29.097580251 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4253863Z 2025-12-04T11:16:33.4254006Z ('RERUN', {'yellow': True}) [19.5624s] [100%] 2025-12-04T11:16:33.4255270Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:11:29.424198854 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4255278Z 2025-12-04T11:16:33.4255800Z [W1204 11:11:29.424894725 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4255804Z 2025-12-04T11:16:33.4256315Z [W1204 11:11:29.425090562 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4256319Z 2025-12-04T11:16:33.4256899Z [W1204 11:11:29.428930896 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4256904Z 2025-12-04T11:16:33.4257418Z [W1204 11:11:29.429673417 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4257423Z 2025-12-04T11:16:33.4257930Z [W1204 11:11:29.429862868 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4257990Z 2025-12-04T11:16:33.4258499Z [W1204 11:11:29.435821329 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4258504Z 2025-12-04T11:16:33.4259011Z [W1204 11:11:29.436423998 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4259045Z 2025-12-04T11:16:33.4259563Z [W1204 11:11:29.436609985 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4259567Z 2025-12-04T11:16:33.4260079Z [W1204 11:11:29.518562572 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4260083Z 2025-12-04T11:16:33.4260598Z [W1204 11:11:29.519200670 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4260604Z 2025-12-04T11:16:33.4261112Z [W1204 11:11:29.519394299 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4261117Z 2025-12-04T11:16:33.4261635Z [W1204 11:11:29.523220125 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4261642Z 2025-12-04T11:16:33.4262154Z [W1204 11:11:29.523822303 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4262158Z 2025-12-04T11:16:33.4262676Z [W1204 11:11:29.524014016 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4262680Z 2025-12-04T11:16:33.4263186Z [W1204 11:11:29.529910080 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4263194Z 2025-12-04T11:16:33.4263701Z [W1204 11:11:29.530694974 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4263705Z 2025-12-04T11:16:33.4264222Z [W1204 11:11:29.530891464 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4264229Z 2025-12-04T11:16:33.4264356Z ('RERUN', {'yellow': True}) [0.3944s] [100%] 2025-12-04T11:16:33.4265641Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:11:30.796016573 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4265647Z 2025-12-04T11:16:33.4266156Z [W1204 11:11:30.796691645 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4266163Z 2025-12-04T11:16:33.4266687Z [W1204 11:11:30.796885451 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4266692Z 2025-12-04T11:16:33.4267201Z [W1204 11:11:30.800733058 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4267208Z 2025-12-04T11:16:33.4267732Z [W1204 11:11:30.801476556 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4267795Z 2025-12-04T11:16:33.4268310Z [W1204 11:11:30.801663848 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4268315Z 2025-12-04T11:16:33.4268826Z [W1204 11:11:30.807578728 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4268875Z 2025-12-04T11:16:33.4269388Z [W1204 11:11:30.808170586 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4269393Z 2025-12-04T11:16:33.4269902Z [W1204 11:11:30.808355227 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4269936Z 2025-12-04T11:16:33.4270458Z [W1204 11:11:30.889591488 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4270462Z 2025-12-04T11:16:33.4270975Z [W1204 11:11:30.890221245 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4270980Z 2025-12-04T11:16:33.4271503Z [W1204 11:11:30.890423559 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4271508Z 2025-12-04T11:16:33.4272020Z [W1204 11:11:30.894234823 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4272025Z 2025-12-04T11:16:33.4272548Z [W1204 11:11:30.894842621 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4272555Z 2025-12-04T11:16:33.4273069Z [W1204 11:11:30.895034281 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4273073Z 2025-12-04T11:16:33.4273601Z [W1204 11:11:30.900932181 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4273606Z 2025-12-04T11:16:33.4274115Z [W1204 11:11:30.901686666 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4274120Z 2025-12-04T11:16:33.4274627Z [W1204 11:11:30.901877803 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4274645Z 2025-12-04T11:16:33.4274746Z FAILED [0.3688s] [100%] 2025-12-04T11:16:33.4274750Z 2025-12-04T11:16:33.4274890Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4275405Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4275526Z Traceback (most recent call last): 2025-12-04T11:16:33.4276041Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4276283Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4276749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4276922Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4277464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4277669Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4277811Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4277818Z 2025-12-04T11:16:33.4277925Z Expected 1 but got 2. 2025-12-04T11:16:33.4278030Z Absolute difference: 1 2025-12-04T11:16:33.4278157Z Relative difference: 1.0 2025-12-04T11:16:33.4278162Z 2025-12-04T11:16:33.4278435Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4279361Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4279367Z 2025-12-04T11:16:33.4279636Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4279888Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4280014Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4280546Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4280820Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4280920Z graph_break [] 2025-12-04T11:16:33.4281135Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4282372Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4282489Z if out == self.unknown_value: 2025-12-04T11:16:33.4283227Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4283331Z warnings.warn( 2025-12-04T11:16:33.4284054Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4284168Z warnings.warn( 2025-12-04T11:16:33.4284670Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4284788Z Traceback (most recent call last): 2025-12-04T11:16:33.4285313Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4285542Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4286010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4286173Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4286711Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4286925Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4287056Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4287064Z 2025-12-04T11:16:33.4287181Z Expected 1 but got 2. 2025-12-04T11:16:33.4287287Z Absolute difference: 1 2025-12-04T11:16:33.4287395Z Relative difference: 1.0 2025-12-04T11:16:33.4287400Z 2025-12-04T11:16:33.4287629Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4288531Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4288537Z 2025-12-04T11:16:33.4288813Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4289032Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4289148Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4289696Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4289926Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4290026Z graph_break [] 2025-12-04T11:16:33.4290308Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4291630Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4291764Z if out == self.unknown_value: 2025-12-04T11:16:33.4292495Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4292634Z warnings.warn( 2025-12-04T11:16:33.4293376Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4293508Z warnings.warn( 2025-12-04T11:16:33.4293740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4293857Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4294091Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4294636Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4294733Z graph_break [] 2025-12-04T11:16:33.4294950Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4295694Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4295795Z warnings.warn( 2025-12-04T11:16:33.4296528Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4296628Z warnings.warn( 2025-12-04T11:16:33.4296770Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4297290Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4297413Z Traceback (most recent call last): 2025-12-04T11:16:33.4297920Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4298162Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4298620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4298793Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4299329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4299537Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4299682Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4299691Z 2025-12-04T11:16:33.4299796Z Expected 1 but got 2. 2025-12-04T11:16:33.4299912Z Absolute difference: 1 2025-12-04T11:16:33.4300020Z Relative difference: 1.0 2025-12-04T11:16:33.4300025Z 2025-12-04T11:16:33.4300240Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4301149Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4301157Z 2025-12-04T11:16:33.4301423Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4301652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4301769Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4302301Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4303208Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4303314Z graph_break [] 2025-12-04T11:16:33.4303531Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4305019Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4305223Z if out == self.unknown_value: 2025-12-04T11:16:33.4305971Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4306124Z warnings.warn( 2025-12-04T11:16:33.4306853Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4306968Z warnings.warn( 2025-12-04T11:16:33.4307187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4307315Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4307543Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4308073Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4308186Z graph_break [] 2025-12-04T11:16:33.4308400Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4309124Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4309239Z warnings.warn( 2025-12-04T11:16:33.4309965Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4310079Z warnings.warn( 2025-12-04T11:16:33.4310300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4310414Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4310651Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4311183Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4311281Z graph_break [] 2025-12-04T11:16:33.4311506Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4312238Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4312353Z warnings.warn( 2025-12-04T11:16:33.4313082Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4313183Z warnings.warn( 2025-12-04T11:16:33.4314041Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-144c218e89abb79d.xml - 2025-12-04T11:16:33.4314214Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4315169Z FAILED [0.3688s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4315179Z 2025-12-04T11:16:33.4315285Z Expected 1 but got 2. 2025-12-04T11:16:33.4315391Z Absolute difference: 1 2025-12-04T11:16:33.4315513Z Relative difference: 1.0 2025-12-04T11:16:33.4315518Z 2025-12-04T11:16:33.4315821Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4316738Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4316744Z 2025-12-04T11:16:33.4317013Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4317223Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4317432Z ================== 1 failed, 10 deselected, 2 rerun in 20.36s ================== 2025-12-04T11:16:33.4317530Z Got exit code 1 2025-12-04T11:16:33.4317651Z Retrying single test... 2025-12-04T11:16:33.4318132Z W1204 11:11:40.829000 94403 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4318800Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-8a13b891ff2c1202.xml 2025-12-04T11:16:33.4318974Z ============================= test session starts ============================== 2025-12-04T11:16:33.4319324Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4319436Z cachedir: .pytest_cache 2025-12-04T11:16:33.4319969Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4320094Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4320216Z configfile: pytest.ini 2025-12-04T11:16:33.4320756Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4320976Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.4321983Z stepcurrent: skipping 7 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4322096Z Running 1 items in this shard 2025-12-04T11:16:33.4322101Z 2025-12-04T11:16:33.4323403Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:11:44.080895964 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4323411Z 2025-12-04T11:16:33.4323934Z [W1204 11:11:59.752482416 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4323939Z 2025-12-04T11:16:33.4324466Z [W1204 11:11:59.752736094 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4324471Z 2025-12-04T11:16:33.4324985Z [W1204 11:11:59.759936057 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4324990Z 2025-12-04T11:16:33.4325500Z [W1204 11:12:00.760635990 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4325517Z 2025-12-04T11:16:33.4326023Z [W1204 11:12:00.760830855 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4326030Z 2025-12-04T11:16:33.4326540Z [W1204 11:12:00.767567558 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4326545Z 2025-12-04T11:16:33.4327066Z [W1204 11:12:00.768175853 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4327073Z 2025-12-04T11:16:33.4327637Z [W1204 11:12:00.768360026 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4327643Z 2025-12-04T11:16:33.4328166Z [W1204 11:12:02.766745278 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4328170Z 2025-12-04T11:16:33.4328679Z [W1204 11:12:02.768405750 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4328713Z 2025-12-04T11:16:33.4329236Z [W1204 11:12:02.768614987 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4329241Z 2025-12-04T11:16:33.4329748Z [W1204 11:12:02.772513769 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4329781Z 2025-12-04T11:16:33.4330309Z [W1204 11:12:02.773139664 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4330315Z 2025-12-04T11:16:33.4330824Z [W1204 11:12:02.773332371 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4330829Z 2025-12-04T11:16:33.4331429Z [W1204 11:12:02.779270579 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4331449Z 2025-12-04T11:16:33.4331963Z [W1204 11:12:02.779871658 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4331968Z 2025-12-04T11:16:33.4332476Z [W1204 11:12:02.780085984 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4332483Z 2025-12-04T11:16:33.4332626Z ('RERUN', {'yellow': True}) [19.4683s] [100%] 2025-12-04T11:16:33.4333906Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:12:02.129152524 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4333912Z 2025-12-04T11:16:33.4334438Z [W1204 11:12:02.129879433 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4334445Z 2025-12-04T11:16:33.4334958Z [W1204 11:12:02.130104282 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4334963Z 2025-12-04T11:16:33.4335488Z [W1204 11:12:02.133984488 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4335495Z 2025-12-04T11:16:33.4336003Z [W1204 11:12:02.134753499 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4336013Z 2025-12-04T11:16:33.4336534Z [W1204 11:12:02.134942710 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4336539Z 2025-12-04T11:16:33.4337051Z [W1204 11:12:02.140876904 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4337061Z 2025-12-04T11:16:33.4337571Z [W1204 11:12:02.141476469 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4337576Z 2025-12-04T11:16:33.4338097Z [W1204 11:12:02.141661684 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4338104Z 2025-12-04T11:16:33.4338611Z [W1204 11:12:02.225923019 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4338616Z 2025-12-04T11:16:33.4339206Z [W1204 11:12:02.226634800 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4339211Z 2025-12-04T11:16:33.4339724Z [W1204 11:12:02.226851686 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4339729Z 2025-12-04T11:16:33.4340285Z [W1204 11:12:02.230682757 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4340290Z 2025-12-04T11:16:33.4340797Z [W1204 11:12:02.231296736 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4340833Z 2025-12-04T11:16:33.4341355Z [W1204 11:12:02.231489525 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4341360Z 2025-12-04T11:16:33.4341871Z [W1204 11:12:02.237389753 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4341876Z 2025-12-04T11:16:33.4342384Z [W1204 11:12:02.238149554 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4342403Z 2025-12-04T11:16:33.4342910Z [W1204 11:12:02.238342306 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4342917Z 2025-12-04T11:16:33.4343043Z ('RERUN', {'yellow': True}) [0.4193s] [100%] 2025-12-04T11:16:33.4344335Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:12:02.521915559 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4344342Z 2025-12-04T11:16:33.4344855Z [W1204 11:12:02.522641918 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4344860Z 2025-12-04T11:16:33.4345378Z [W1204 11:12:02.522853235 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4345382Z 2025-12-04T11:16:33.4345893Z [W1204 11:12:02.526712722 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4345901Z 2025-12-04T11:16:33.4346421Z [W1204 11:12:02.527463352 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4346428Z 2025-12-04T11:16:33.4346936Z [W1204 11:12:02.527651931 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4346941Z 2025-12-04T11:16:33.4347463Z [W1204 11:12:02.533598148 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4347467Z 2025-12-04T11:16:33.4347974Z [W1204 11:12:02.534201791 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4347979Z 2025-12-04T11:16:33.4348484Z [W1204 11:12:02.534387616 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4348500Z 2025-12-04T11:16:33.4349010Z [W1204 11:12:02.618548871 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4349014Z 2025-12-04T11:16:33.4349527Z [W1204 11:12:02.619264023 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4349532Z 2025-12-04T11:16:33.4350122Z [W1204 11:12:02.619461335 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4350127Z 2025-12-04T11:16:33.4350635Z [W1204 11:12:02.623316403 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4350640Z 2025-12-04T11:16:33.4351156Z [W1204 11:12:02.623939601 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4351192Z 2025-12-04T11:16:33.4351698Z [W1204 11:12:02.624132430 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4351703Z 2025-12-04T11:16:33.4352222Z [W1204 11:12:02.630056577 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4352256Z 2025-12-04T11:16:33.4352769Z [W1204 11:12:02.630848053 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4352774Z 2025-12-04T11:16:33.4353280Z [W1204 11:12:02.631039851 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4353298Z 2025-12-04T11:16:33.4353400Z FAILED [0.3908s] [100%] 2025-12-04T11:16:33.4353404Z 2025-12-04T11:16:33.4353545Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4354062Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4354180Z Traceback (most recent call last): 2025-12-04T11:16:33.4354696Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4354943Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4355405Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4355580Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4356116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4356319Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4356464Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4356470Z 2025-12-04T11:16:33.4356570Z Expected 1 but got 2. 2025-12-04T11:16:33.4356688Z Absolute difference: 1 2025-12-04T11:16:33.4356795Z Relative difference: 1.0 2025-12-04T11:16:33.4356800Z 2025-12-04T11:16:33.4357012Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4357928Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4357938Z 2025-12-04T11:16:33.4358203Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4358432Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4358545Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4359077Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4359314Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4359410Z graph_break [] 2025-12-04T11:16:33.4359621Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4360849Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4361020Z if out == self.unknown_value: 2025-12-04T11:16:33.4361762Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4361860Z warnings.warn( 2025-12-04T11:16:33.4362581Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4362722Z warnings.warn( 2025-12-04T11:16:33.4363220Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4363351Z Traceback (most recent call last): 2025-12-04T11:16:33.4363888Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4364118Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4364595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4364758Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4365295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4365510Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4365642Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4365647Z 2025-12-04T11:16:33.4365767Z Expected 1 but got 2. 2025-12-04T11:16:33.4365874Z Absolute difference: 1 2025-12-04T11:16:33.4365981Z Relative difference: 1.0 2025-12-04T11:16:33.4365986Z 2025-12-04T11:16:33.4366212Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4367119Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4367125Z 2025-12-04T11:16:33.4367408Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4367621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4367734Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4368282Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4368509Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4368607Z graph_break [] 2025-12-04T11:16:33.4368831Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4370047Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4370173Z if out == self.unknown_value: 2025-12-04T11:16:33.4370897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4371087Z warnings.warn( 2025-12-04T11:16:33.4371827Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4371928Z warnings.warn( 2025-12-04T11:16:33.4372153Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4372265Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4372493Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4373040Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4373201Z graph_break [] 2025-12-04T11:16:33.4373418Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4374160Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4374258Z warnings.warn( 2025-12-04T11:16:33.4375027Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4375124Z warnings.warn( 2025-12-04T11:16:33.4375267Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4375809Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4375927Z Traceback (most recent call last): 2025-12-04T11:16:33.4376455Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4376682Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4377271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4377445Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4377988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4378192Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4378333Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4378341Z 2025-12-04T11:16:33.4378444Z Expected 1 but got 2. 2025-12-04T11:16:33.4378561Z Absolute difference: 1 2025-12-04T11:16:33.4378668Z Relative difference: 1.0 2025-12-04T11:16:33.4378673Z 2025-12-04T11:16:33.4378890Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4379805Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4379811Z 2025-12-04T11:16:33.4380076Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4380302Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4380413Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4380946Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4381181Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4381277Z graph_break [] 2025-12-04T11:16:33.4381490Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4382719Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4382835Z if out == self.unknown_value: 2025-12-04T11:16:33.4383574Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4383678Z warnings.warn( 2025-12-04T11:16:33.4384398Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4384507Z warnings.warn( 2025-12-04T11:16:33.4384725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4384848Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4385219Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4385753Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4385865Z graph_break [] 2025-12-04T11:16:33.4386079Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4386826Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4386957Z warnings.warn( 2025-12-04T11:16:33.4387684Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4387848Z warnings.warn( 2025-12-04T11:16:33.4388061Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4388177Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4388411Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4388945Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4389056Z graph_break [] 2025-12-04T11:16:33.4389271Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4390002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4390111Z warnings.warn( 2025-12-04T11:16:33.4390830Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4390930Z warnings.warn( 2025-12-04T11:16:33.4391791Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-8a13b891ff2c1202.xml - 2025-12-04T11:16:33.4391962Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4392912Z FAILED [0.3908s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4392920Z 2025-12-04T11:16:33.4393024Z Expected 1 but got 2. 2025-12-04T11:16:33.4393129Z Absolute difference: 1 2025-12-04T11:16:33.4393251Z Relative difference: 1.0 2025-12-04T11:16:33.4393256Z 2025-12-04T11:16:33.4393472Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4394382Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4394392Z 2025-12-04T11:16:33.4394659Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4394837Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4395045Z ================== 1 failed, 10 deselected, 2 rerun in 20.31s ================== 2025-12-04T11:16:33.4395144Z Got exit code 1 2025-12-04T11:16:33.4395978Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4396392Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.4396838Z W1204 11:12:14.040000 94577 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4397575Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-70b3a3b3e3f8f644.xml 2025-12-04T11:16:33.4397741Z ============================= test session starts ============================== 2025-12-04T11:16:33.4398107Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4398218Z cachedir: .pytest_cache 2025-12-04T11:16:33.4398740Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4398911Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4399019Z configfile: pytest.ini 2025-12-04T11:16:33.4399559Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4399812Z collecting ... collected 58 items / 8 deselected / 50 selected 2025-12-04T11:16:33.4399953Z stepcurrent: skipping 8 already run items. 2025-12-04T11:16:33.4400080Z Running 3 items in this shard 2025-12-04T11:16:33.4400089Z 2025-12-04T11:16:33.4400966Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [3.7823s] [ 33%] 2025-12-04T11:16:33.4401825Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.3888s] [ 33%] 2025-12-04T11:16:33.4402630Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 FAILED [0.3895s] [ 33%] 2025-12-04T11:16:33.4402636Z 2025-12-04T11:16:33.4402778Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4403298Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4403425Z Traceback (most recent call last): 2025-12-04T11:16:33.4403949Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4404180Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4404833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4405015Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4405556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4405762Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4405905Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4405910Z 2025-12-04T11:16:33.4406015Z Expected 1 but got 2. 2025-12-04T11:16:33.4406133Z Absolute difference: 1 2025-12-04T11:16:33.4406239Z Relative difference: 1.0 2025-12-04T11:16:33.4406248Z 2025-12-04T11:16:33.4406463Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4407383Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4407389Z 2025-12-04T11:16:33.4407656Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4407891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4408002Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4408529Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4408766Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4408865Z graph_break [] 2025-12-04T11:16:33.4409193Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4409939Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4410040Z warnings.warn( 2025-12-04T11:16:33.4410775Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4410915Z warnings.warn( 2025-12-04T11:16:33.4411505Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4411640Z Traceback (most recent call last): 2025-12-04T11:16:33.4412198Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4412436Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4412894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4413052Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4413601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4413808Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4413939Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4413945Z 2025-12-04T11:16:33.4414062Z Expected 1 but got 2. 2025-12-04T11:16:33.4414171Z Absolute difference: 1 2025-12-04T11:16:33.4414290Z Relative difference: 1.0 2025-12-04T11:16:33.4414295Z 2025-12-04T11:16:33.4414507Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4415421Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4415426Z 2025-12-04T11:16:33.4415703Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4415919Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4416044Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4416580Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4416805Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4416912Z graph_break [] 2025-12-04T11:16:33.4417129Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4417861Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4417975Z warnings.warn( 2025-12-04T11:16:33.4418697Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4418805Z warnings.warn( 2025-12-04T11:16:33.4419020Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4419131Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4419371Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4419901Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4420008Z graph_break [] 2025-12-04T11:16:33.4420221Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4421009Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4421120Z warnings.warn( 2025-12-04T11:16:33.4421838Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4421936Z warnings.warn( 2025-12-04T11:16:33.4422087Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4422626Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4422757Z Traceback (most recent call last): 2025-12-04T11:16:33.4423261Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4423519Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4423986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4424146Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4424689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4424893Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4425021Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4425028Z 2025-12-04T11:16:33.4425142Z Expected 1 but got 2. 2025-12-04T11:16:33.4425247Z Absolute difference: 1 2025-12-04T11:16:33.4425351Z Relative difference: 1.0 2025-12-04T11:16:33.4425356Z 2025-12-04T11:16:33.4425582Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4426488Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4426493Z 2025-12-04T11:16:33.4426776Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4426991Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4427102Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4427646Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4427872Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4427982Z graph_break [] 2025-12-04T11:16:33.4428197Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4428932Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4429046Z warnings.warn( 2025-12-04T11:16:33.4429774Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4429872Z warnings.warn( 2025-12-04T11:16:33.4430098Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4430210Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4430445Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4430972Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4431068Z graph_break [] 2025-12-04T11:16:33.4431295Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4432027Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4432126Z warnings.warn( 2025-12-04T11:16:33.4432927Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4433023Z warnings.warn( 2025-12-04T11:16:33.4433248Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4433357Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4433578Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4434169Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4434263Z graph_break [] 2025-12-04T11:16:33.4434475Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4435251Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4435355Z warnings.warn( 2025-12-04T11:16:33.4436088Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4436184Z warnings.warn( 2025-12-04T11:16:33.4437022Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-70b3a3b3e3f8f644.xml - 2025-12-04T11:16:33.4437210Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4438160Z FAILED [0.3895s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4438168Z 2025-12-04T11:16:33.4438282Z Expected 1 but got 2. 2025-12-04T11:16:33.4438386Z Absolute difference: 1 2025-12-04T11:16:33.4438494Z Relative difference: 1.0 2025-12-04T11:16:33.4438503Z 2025-12-04T11:16:33.4438726Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4439632Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4439638Z 2025-12-04T11:16:33.4439918Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4440099Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4440290Z =================== 1 failed, 8 deselected, 2 rerun in 4.59s =================== 2025-12-04T11:16:33.4440402Z Got exit code 1 2025-12-04T11:16:33.4440504Z Retrying single test... 2025-12-04T11:16:33.4440955Z W1204 11:12:33.423000 94753 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4441623Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-9b7730468ec6622e.xml 2025-12-04T11:16:33.4441779Z ============================= test session starts ============================== 2025-12-04T11:16:33.4442142Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4442248Z cachedir: .pytest_cache 2025-12-04T11:16:33.4442766Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4442899Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4443005Z configfile: pytest.ini 2025-12-04T11:16:33.4443556Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4443774Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.4444827Z stepcurrent: skipping 8 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4444959Z Running 1 items in this shard 2025-12-04T11:16:33.4444964Z 2025-12-04T11:16:33.4446239Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:12:36.711182053 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4446275Z 2025-12-04T11:16:33.4446804Z [W1204 11:12:52.877950664 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4446840Z 2025-12-04T11:16:33.4447355Z [W1204 11:12:52.878206758 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4447361Z 2025-12-04T11:16:33.4447888Z [W1204 11:12:52.885651387 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4447893Z 2025-12-04T11:16:33.4448406Z [W1204 11:12:52.886349103 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4448411Z 2025-12-04T11:16:33.4448930Z [W1204 11:12:52.886538532 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4448936Z 2025-12-04T11:16:33.4449441Z [W1204 11:12:52.893428367 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4449448Z 2025-12-04T11:16:33.4449956Z [W1204 11:12:52.894058858 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4449976Z 2025-12-04T11:16:33.4450487Z [W1204 11:12:52.894250543 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4450492Z 2025-12-04T11:16:33.4451089Z [W1204 11:12:54.892078426 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4451095Z 2025-12-04T11:16:33.4451619Z [W1204 11:12:54.893753808 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4451627Z 2025-12-04T11:16:33.4452136Z [W1204 11:12:54.893963558 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4452143Z 2025-12-04T11:16:33.4452664Z [W1204 11:12:54.897859432 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4452668Z 2025-12-04T11:16:33.4453178Z [W1204 11:12:54.898482398 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4453182Z 2025-12-04T11:16:33.4453703Z [W1204 11:12:54.898691886 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4453709Z 2025-12-04T11:16:33.4454219Z [W1204 11:12:54.904730275 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4454227Z 2025-12-04T11:16:33.4454749Z [W1204 11:12:54.905349379 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4454755Z 2025-12-04T11:16:33.4455265Z [W1204 11:12:54.905540595 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4455269Z 2025-12-04T11:16:33.4455399Z ('RERUN', {'yellow': True}) [18.9755s] [100%] 2025-12-04T11:16:33.4456761Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:12:54.252965586 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4456768Z 2025-12-04T11:16:33.4457279Z [W1204 11:12:54.253690973 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4457313Z 2025-12-04T11:16:33.4457831Z [W1204 11:12:54.253892730 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4457866Z 2025-12-04T11:16:33.4458375Z [W1204 11:12:54.257787705 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4458380Z 2025-12-04T11:16:33.4458904Z [W1204 11:12:54.258556182 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4458909Z 2025-12-04T11:16:33.4459422Z [W1204 11:12:54.258760361 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4459427Z 2025-12-04T11:16:33.4459944Z [W1204 11:12:54.264753768 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4459951Z 2025-12-04T11:16:33.4460460Z [W1204 11:12:54.265374574 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4460465Z 2025-12-04T11:16:33.4460974Z [W1204 11:12:54.265561964 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4460994Z 2025-12-04T11:16:33.4461506Z [W1204 11:12:54.350693717 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4461511Z 2025-12-04T11:16:33.4462019Z [W1204 11:12:54.351362775 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4462024Z 2025-12-04T11:16:33.4462541Z [W1204 11:12:54.351561744 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4462549Z 2025-12-04T11:16:33.4463057Z [W1204 11:12:54.355417828 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4463062Z 2025-12-04T11:16:33.4463596Z [W1204 11:12:54.356021529 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4463603Z 2025-12-04T11:16:33.4464116Z [W1204 11:12:54.356213737 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4464120Z 2025-12-04T11:16:33.4464643Z [W1204 11:12:54.362185513 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4464648Z 2025-12-04T11:16:33.4465161Z [W1204 11:12:54.362961806 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4465168Z 2025-12-04T11:16:33.4465695Z [W1204 11:12:54.363154108 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4465700Z 2025-12-04T11:16:33.4465832Z ('RERUN', {'yellow': True}) [0.4177s] [100%] 2025-12-04T11:16:33.4467184Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:12:54.649545262 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4467205Z 2025-12-04T11:16:33.4467721Z [W1204 11:12:54.650309751 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4467726Z 2025-12-04T11:16:33.4468239Z [W1204 11:12:54.650517874 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4468278Z 2025-12-04T11:16:33.4468804Z [W1204 11:12:54.654393290 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4468809Z 2025-12-04T11:16:33.4469322Z [W1204 11:12:54.655160069 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4469355Z 2025-12-04T11:16:33.4469888Z [W1204 11:12:54.655348121 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4469893Z 2025-12-04T11:16:33.4470418Z [W1204 11:12:54.661321823 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4470423Z 2025-12-04T11:16:33.4470952Z [W1204 11:12:54.661925100 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4470958Z 2025-12-04T11:16:33.4471472Z [W1204 11:12:54.662111178 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4471477Z 2025-12-04T11:16:33.4472003Z [W1204 11:12:54.746137048 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4472010Z 2025-12-04T11:16:33.4472520Z [W1204 11:12:54.746787608 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4472529Z 2025-12-04T11:16:33.4473042Z [W1204 11:12:54.746984940 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4473061Z 2025-12-04T11:16:33.4473575Z [W1204 11:12:54.750859541 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4473580Z 2025-12-04T11:16:33.4474095Z [W1204 11:12:54.751475621 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4474100Z 2025-12-04T11:16:33.4474633Z [W1204 11:12:54.751669406 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4474640Z 2025-12-04T11:16:33.4475153Z [W1204 11:12:54.757614701 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4475157Z 2025-12-04T11:16:33.4475690Z [W1204 11:12:54.758372448 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4475696Z 2025-12-04T11:16:33.4476212Z [W1204 11:12:54.758564849 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4476217Z 2025-12-04T11:16:33.4476335Z FAILED [0.3942s] [100%] 2025-12-04T11:16:33.4476341Z 2025-12-04T11:16:33.4476488Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4477004Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4477150Z Traceback (most recent call last): 2025-12-04T11:16:33.4477663Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4477987Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4478453Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4478618Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4479172Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4479408Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4479541Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4479547Z 2025-12-04T11:16:33.4479669Z Expected 1 but got 2. 2025-12-04T11:16:33.4479776Z Absolute difference: 1 2025-12-04T11:16:33.4479900Z Relative difference: 1.0 2025-12-04T11:16:33.4479934Z 2025-12-04T11:16:33.4480150Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4481063Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4481068Z 2025-12-04T11:16:33.4481352Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4481571Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4481700Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4482236Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4482460Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4482573Z graph_break [] 2025-12-04T11:16:33.4482788Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4484012Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4484143Z if out == self.unknown_value: 2025-12-04T11:16:33.4484879Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4484993Z warnings.warn( 2025-12-04T11:16:33.4485716Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4485815Z warnings.warn( 2025-12-04T11:16:33.4486335Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4486456Z Traceback (most recent call last): 2025-12-04T11:16:33.4486976Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4487210Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4487671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4487847Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4488382Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4488603Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4488735Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4488740Z 2025-12-04T11:16:33.4488844Z Expected 1 but got 2. 2025-12-04T11:16:33.4488964Z Absolute difference: 1 2025-12-04T11:16:33.4489076Z Relative difference: 1.0 2025-12-04T11:16:33.4489081Z 2025-12-04T11:16:33.4489297Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4490286Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4490292Z 2025-12-04T11:16:33.4490563Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4490794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4490909Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4491564Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4491806Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4491941Z graph_break [] 2025-12-04T11:16:33.4492171Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4493389Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4493506Z if out == self.unknown_value: 2025-12-04T11:16:33.4494251Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4494355Z warnings.warn( 2025-12-04T11:16:33.4495090Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4495189Z warnings.warn( 2025-12-04T11:16:33.4495406Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4495535Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4495760Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4496290Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4496399Z graph_break [] 2025-12-04T11:16:33.4496618Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4497364Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4497466Z warnings.warn( 2025-12-04T11:16:33.4498192Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4498302Z warnings.warn( 2025-12-04T11:16:33.4498448Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4498958Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4499096Z Traceback (most recent call last): 2025-12-04T11:16:33.4499605Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4499846Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4500302Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4500467Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4501015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4501222Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4501367Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4501373Z 2025-12-04T11:16:33.4501478Z Expected 1 but got 2. 2025-12-04T11:16:33.4501584Z Absolute difference: 1 2025-12-04T11:16:33.4501705Z Relative difference: 1.0 2025-12-04T11:16:33.4501771Z 2025-12-04T11:16:33.4501983Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4502894Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4502911Z 2025-12-04T11:16:33.4503206Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4503422Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4503553Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4504084Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4504341Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4504637Z graph_break [] 2025-12-04T11:16:33.4504925Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4506160Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4506278Z if out == self.unknown_value: 2025-12-04T11:16:33.4507006Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4507125Z warnings.warn( 2025-12-04T11:16:33.4507847Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4507965Z warnings.warn( 2025-12-04T11:16:33.4508182Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4508301Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4508540Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4509075Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4509172Z graph_break [] 2025-12-04T11:16:33.4509396Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4510126Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4510237Z warnings.warn( 2025-12-04T11:16:33.4510965Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4511062Z warnings.warn( 2025-12-04T11:16:33.4511291Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4511403Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4511628Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4512174Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4512273Z graph_break [] 2025-12-04T11:16:33.4512500Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4513226Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4513328Z warnings.warn( 2025-12-04T11:16:33.4514064Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4514280Z warnings.warn( 2025-12-04T11:16:33.4515134Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-9b7730468ec6622e.xml - 2025-12-04T11:16:33.4515305Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4516252Z FAILED [0.3942s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4516297Z 2025-12-04T11:16:33.4516417Z Expected 1 but got 2. 2025-12-04T11:16:33.4516524Z Absolute difference: 1 2025-12-04T11:16:33.4516674Z Relative difference: 1.0 2025-12-04T11:16:33.4516693Z 2025-12-04T11:16:33.4516907Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4517819Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4517824Z 2025-12-04T11:16:33.4518104Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4518286Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4518495Z ================== 1 failed, 10 deselected, 2 rerun in 19.82s ================== 2025-12-04T11:16:33.4518595Z Got exit code 1 2025-12-04T11:16:33.4518701Z Retrying single test... 2025-12-04T11:16:33.4519165Z W1204 11:13:06.059000 94934 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4519831Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-ab6119cdab961c52.xml 2025-12-04T11:16:33.4519993Z ============================= test session starts ============================== 2025-12-04T11:16:33.4520363Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4520472Z cachedir: .pytest_cache 2025-12-04T11:16:33.4521005Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4521130Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4521241Z configfile: pytest.ini 2025-12-04T11:16:33.4521795Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4522011Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.4523003Z stepcurrent: skipping 8 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4523132Z Running 1 items in this shard 2025-12-04T11:16:33.4523142Z 2025-12-04T11:16:33.4524426Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:13:09.361007055 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4524432Z 2025-12-04T11:16:33.4524962Z [W1204 11:13:24.602484193 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4524969Z 2025-12-04T11:16:33.4525484Z [W1204 11:13:24.602773944 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4525491Z 2025-12-04T11:16:33.4526017Z [W1204 11:13:24.610449406 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4526022Z 2025-12-04T11:16:33.4526614Z [W1204 11:13:24.611250768 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4526619Z 2025-12-04T11:16:33.4527141Z [W1204 11:13:24.611451076 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4527147Z 2025-12-04T11:16:33.4527655Z [W1204 11:13:24.618594406 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4527692Z 2025-12-04T11:16:33.4528219Z [W1204 11:13:24.619341664 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4528224Z 2025-12-04T11:16:33.4528761Z [W1204 11:13:24.619534743 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4528766Z 2025-12-04T11:16:33.4529282Z [W1204 11:13:26.622494261 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4529298Z 2025-12-04T11:16:33.4529810Z [W1204 11:13:26.624178297 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4529814Z 2025-12-04T11:16:33.4530325Z [W1204 11:13:26.624386660 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4530332Z 2025-12-04T11:16:33.4530854Z [W1204 11:13:26.628289748 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4530859Z 2025-12-04T11:16:33.4531464Z [W1204 11:13:26.628932436 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4531473Z 2025-12-04T11:16:33.4532004Z [W1204 11:13:26.629132352 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4532008Z 2025-12-04T11:16:33.4532517Z [W1204 11:13:26.635198672 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4532522Z 2025-12-04T11:16:33.4533046Z [W1204 11:13:26.635815325 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4533053Z 2025-12-04T11:16:33.4533566Z [W1204 11:13:26.636006583 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4533571Z 2025-12-04T11:16:33.4533705Z ('RERUN', {'yellow': True}) [19.0707s] [100%] 2025-12-04T11:16:33.4535004Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:13:27.973021041 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4535010Z 2025-12-04T11:16:33.4535526Z [W1204 11:13:27.973729756 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4535531Z 2025-12-04T11:16:33.4536059Z [W1204 11:13:27.973930143 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4536067Z 2025-12-04T11:16:33.4536580Z [W1204 11:13:27.977840403 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4536585Z 2025-12-04T11:16:33.4537110Z [W1204 11:13:27.978600693 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4537117Z 2025-12-04T11:16:33.4537691Z [W1204 11:13:27.978803179 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4537697Z 2025-12-04T11:16:33.4538222Z [W1204 11:13:27.984805782 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4538227Z 2025-12-04T11:16:33.4538736Z [W1204 11:13:27.985420899 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4538770Z 2025-12-04T11:16:33.4539295Z [W1204 11:13:27.985608677 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4539300Z 2025-12-04T11:16:33.4539810Z [W1204 11:13:27.069638943 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4539844Z 2025-12-04T11:16:33.4540362Z [W1204 11:13:27.070321824 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4540380Z 2025-12-04T11:16:33.4540892Z [W1204 11:13:27.070526791 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4540897Z 2025-12-04T11:16:33.4541410Z [W1204 11:13:27.074391232 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4541417Z 2025-12-04T11:16:33.4541948Z [W1204 11:13:27.075015363 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4541953Z 2025-12-04T11:16:33.4542465Z [W1204 11:13:27.075210536 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4542472Z 2025-12-04T11:16:33.4542995Z [W1204 11:13:27.081196319 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4543003Z 2025-12-04T11:16:33.4543516Z [W1204 11:13:27.081969358 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4543520Z 2025-12-04T11:16:33.4544046Z [W1204 11:13:27.082163871 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4544050Z 2025-12-04T11:16:33.4544184Z ('RERUN', {'yellow': True}) [0.4071s] [100%] 2025-12-04T11:16:33.4545462Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:13:27.357971919 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4545483Z 2025-12-04T11:16:33.4545997Z [W1204 11:13:27.358707435 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4546006Z 2025-12-04T11:16:33.4546519Z [W1204 11:13:27.358911762 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4546539Z 2025-12-04T11:16:33.4547049Z [W1204 11:13:27.362845420 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4547055Z 2025-12-04T11:16:33.4547569Z [W1204 11:13:27.363616109 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4547574Z 2025-12-04T11:16:33.4548101Z [W1204 11:13:27.363806773 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4548108Z 2025-12-04T11:16:33.4548622Z [W1204 11:13:27.369806449 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4548626Z 2025-12-04T11:16:33.4549212Z [W1204 11:13:27.370438258 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4549218Z 2025-12-04T11:16:33.4549729Z [W1204 11:13:27.370632864 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4549734Z 2025-12-04T11:16:33.4550288Z [W1204 11:13:27.455220826 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4550293Z 2025-12-04T11:16:33.4550804Z [W1204 11:13:27.455920391 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4550838Z 2025-12-04T11:16:33.4551350Z [W1204 11:13:27.456123885 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4551369Z 2025-12-04T11:16:33.4551883Z [W1204 11:13:27.460050000 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4551888Z 2025-12-04T11:16:33.4552399Z [W1204 11:13:27.460670698 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4552403Z 2025-12-04T11:16:33.4552927Z [W1204 11:13:27.460866643 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4552934Z 2025-12-04T11:16:33.4553443Z [W1204 11:13:27.466845016 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4553450Z 2025-12-04T11:16:33.4553974Z [W1204 11:13:27.467614539 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4553979Z 2025-12-04T11:16:33.4554494Z [W1204 11:13:27.467810634 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4554499Z 2025-12-04T11:16:33.4554616Z FAILED [0.3841s] [100%] 2025-12-04T11:16:33.4554621Z 2025-12-04T11:16:33.4554760Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4555269Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4555405Z Traceback (most recent call last): 2025-12-04T11:16:33.4555912Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4556152Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4556615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4556777Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4557331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4557534Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4557664Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4557681Z 2025-12-04T11:16:33.4557784Z Expected 1 but got 2. 2025-12-04T11:16:33.4557892Z Absolute difference: 1 2025-12-04T11:16:33.4558014Z Relative difference: 1.0 2025-12-04T11:16:33.4558019Z 2025-12-04T11:16:33.4558234Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4559145Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4559167Z 2025-12-04T11:16:33.4559435Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4559711Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4559843Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4560375Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4560601Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4560744Z graph_break [] 2025-12-04T11:16:33.4560959Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4562181Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4562416Z if out == self.unknown_value: 2025-12-04T11:16:33.4563152Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4563268Z warnings.warn( 2025-12-04T11:16:33.4563995Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4564111Z warnings.warn( 2025-12-04T11:16:33.4564619Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4564743Z Traceback (most recent call last): 2025-12-04T11:16:33.4565265Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4565496Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4565954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4566132Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4566666Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4566884Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4567014Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4567019Z 2025-12-04T11:16:33.4567125Z Expected 1 but got 2. 2025-12-04T11:16:33.4567243Z Absolute difference: 1 2025-12-04T11:16:33.4567352Z Relative difference: 1.0 2025-12-04T11:16:33.4567357Z 2025-12-04T11:16:33.4567569Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4568490Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4568498Z 2025-12-04T11:16:33.4568766Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4568995Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4569111Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4571133Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4571385Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4571486Z graph_break [] 2025-12-04T11:16:33.4571718Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4572930Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4573050Z if out == self.unknown_value: 2025-12-04T11:16:33.4573863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4573965Z warnings.warn( 2025-12-04T11:16:33.4574703Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4574801Z warnings.warn( 2025-12-04T11:16:33.4575048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4575175Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4575403Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4575936Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4576092Z graph_break [] 2025-12-04T11:16:33.4576314Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4577058Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4577157Z warnings.warn( 2025-12-04T11:16:33.4577884Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4577998Z warnings.warn( 2025-12-04T11:16:33.4578145Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4578674Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4578798Z Traceback (most recent call last): 2025-12-04T11:16:33.4579308Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4579553Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4580010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4580171Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4580721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4580927Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4581071Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4581077Z 2025-12-04T11:16:33.4581181Z Expected 1 but got 2. 2025-12-04T11:16:33.4581286Z Absolute difference: 1 2025-12-04T11:16:33.4581410Z Relative difference: 1.0 2025-12-04T11:16:33.4581415Z 2025-12-04T11:16:33.4581630Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4582541Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4582559Z 2025-12-04T11:16:33.4582825Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4583040Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4583165Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4583702Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4583927Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4584036Z graph_break [] 2025-12-04T11:16:33.4584252Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4585542Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4585658Z if out == self.unknown_value: 2025-12-04T11:16:33.4586386Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4586498Z warnings.warn( 2025-12-04T11:16:33.4587249Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4587360Z warnings.warn( 2025-12-04T11:16:33.4587577Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4587718Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4587954Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4588490Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4588588Z graph_break [] 2025-12-04T11:16:33.4588811Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4589535Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4589648Z warnings.warn( 2025-12-04T11:16:33.4590368Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4590466Z warnings.warn( 2025-12-04T11:16:33.4590692Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4590806Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4591030Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4591580Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4591676Z graph_break [] 2025-12-04T11:16:33.4591902Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4592630Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4592731Z warnings.warn( 2025-12-04T11:16:33.4593468Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4593569Z warnings.warn( 2025-12-04T11:16:33.4594426Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-ab6119cdab961c52.xml - 2025-12-04T11:16:33.4594602Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4595546Z FAILED [0.3841s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4595552Z 2025-12-04T11:16:33.4595669Z Expected 1 but got 2. 2025-12-04T11:16:33.4595776Z Absolute difference: 1 2025-12-04T11:16:33.4595901Z Relative difference: 1.0 2025-12-04T11:16:33.4595906Z 2025-12-04T11:16:33.4596122Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4597032Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4597040Z 2025-12-04T11:16:33.4597321Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4597566Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4597776Z ================== 1 failed, 10 deselected, 2 rerun in 19.89s ================== 2025-12-04T11:16:33.4597874Z Got exit code 1 2025-12-04T11:16:33.4598699Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4599157Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.4599603Z W1204 11:13:38.506000 95115 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4600309Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-92a5768d0f7e3307.xml 2025-12-04T11:16:33.4600478Z ============================= test session starts ============================== 2025-12-04T11:16:33.4600830Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4600953Z cachedir: .pytest_cache 2025-12-04T11:16:33.4601476Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4601600Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4601722Z configfile: pytest.ini 2025-12-04T11:16:33.4602266Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4602490Z collecting ... collected 58 items / 9 deselected / 49 selected 2025-12-04T11:16:33.4602631Z stepcurrent: skipping 9 already run items. 2025-12-04T11:16:33.4602747Z Running 2 items in this shard 2025-12-04T11:16:33.4602752Z 2025-12-04T11:16:33.4603642Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [3.7922s] [ 50%] 2025-12-04T11:16:33.4604672Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.3921s] [ 50%] 2025-12-04T11:16:33.4605473Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 FAILED [0.3839s] [ 50%] 2025-12-04T11:16:33.4605482Z 2025-12-04T11:16:33.4605623Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4606129Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4606276Z Traceback (most recent call last): 2025-12-04T11:16:33.4606792Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4607038Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4607502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4607668Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4608220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4608430Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4608577Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4608582Z 2025-12-04T11:16:33.4608688Z Expected 1 but got 2. 2025-12-04T11:16:33.4608800Z Absolute difference: 1 2025-12-04T11:16:33.4608923Z Relative difference: 1.0 2025-12-04T11:16:33.4608927Z 2025-12-04T11:16:33.4609141Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4610170Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4610191Z 2025-12-04T11:16:33.4610460Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4610682Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4610870Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4611479Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4611708Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4611874Z graph_break [] 2025-12-04T11:16:33.4612092Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4612848Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4612953Z warnings.warn( 2025-12-04T11:16:33.4613680Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4613797Z warnings.warn( 2025-12-04T11:16:33.4614307Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4614430Z Traceback (most recent call last): 2025-12-04T11:16:33.4614955Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4615189Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4615661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4615827Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4616363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4616580Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4616713Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4616720Z 2025-12-04T11:16:33.4616840Z Expected 1 but got 2. 2025-12-04T11:16:33.4616947Z Absolute difference: 1 2025-12-04T11:16:33.4617059Z Relative difference: 1.0 2025-12-04T11:16:33.4617065Z 2025-12-04T11:16:33.4617291Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4618200Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4618207Z 2025-12-04T11:16:33.4618493Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4618707Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4618821Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4619363Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4619590Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4619692Z graph_break [] 2025-12-04T11:16:33.4619918Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4620650Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4620766Z warnings.warn( 2025-12-04T11:16:33.4621552Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4621653Z warnings.warn( 2025-12-04T11:16:33.4621877Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4621989Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4622217Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4622793Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4622891Z graph_break [] 2025-12-04T11:16:33.4623120Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4624272Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4625254Z warnings.warn( 2025-12-04T11:16:33.4626147Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4627122Z warnings.warn( 2025-12-04T11:16:33.4627422Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4628233Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4629018Z Traceback (most recent call last): 2025-12-04T11:16:33.4629760Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4630648Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4631488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4632256Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4633169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4634057Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4634517Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4634777Z 2025-12-04T11:16:33.4634882Z Expected 1 but got 2. 2025-12-04T11:16:33.4635171Z Absolute difference: 1 2025-12-04T11:16:33.4635459Z Relative difference: 1.0 2025-12-04T11:16:33.4635668Z 2025-12-04T11:16:33.4635880Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4637145Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4638184Z 2025-12-04T11:16:33.4638463Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4639087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4639569Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4640314Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4641210Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4641673Z graph_break [] 2025-12-04T11:16:33.4642043Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4643143Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4644107Z warnings.warn( 2025-12-04T11:16:33.4644995Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4645963Z warnings.warn( 2025-12-04T11:16:33.4646416Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4646884Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4647331Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4648233Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4649023Z graph_break [] 2025-12-04T11:16:33.4649398Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4650496Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4651619Z warnings.warn( 2025-12-04T11:16:33.4652503Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4653479Z warnings.warn( 2025-12-04T11:16:33.4653864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4654345Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4654780Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4655675Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4656450Z graph_break [] 2025-12-04T11:16:33.4656809Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4657906Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4658881Z warnings.warn( 2025-12-04T11:16:33.4659769Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4660723Z warnings.warn( 2025-12-04T11:16:33.4661734Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-92a5768d0f7e3307.xml - 2025-12-04T11:16:33.4662889Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4664165Z FAILED [0.3839s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4665237Z 2025-12-04T11:16:33.4665349Z Expected 1 but got 2. 2025-12-04T11:16:33.4665638Z Absolute difference: 1 2025-12-04T11:16:33.4665937Z Relative difference: 1.0 2025-12-04T11:16:33.4666126Z 2025-12-04T11:16:33.4666341Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4667605Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4668668Z 2025-12-04T11:16:33.4668933Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4669524Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4670034Z =================== 1 failed, 9 deselected, 2 rerun in 4.60s =================== 2025-12-04T11:16:33.4670475Z Got exit code 1 2025-12-04T11:16:33.4670741Z Retrying single test... 2025-12-04T11:16:33.4671375Z W1204 11:13:58.578000 95291 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4672625Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-d9d632feefbefece.xml 2025-12-04T11:16:33.4673679Z ============================= test session starts ============================== 2025-12-04T11:16:33.4674342Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4674954Z cachedir: .pytest_cache 2025-12-04T11:16:33.4675658Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4676482Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4676835Z configfile: pytest.ini 2025-12-04T11:16:33.4677555Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4678497Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.4679853Z stepcurrent: skipping 9 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4681094Z Running 1 items in this shard 2025-12-04T11:16:33.4681302Z 2025-12-04T11:16:33.4682586Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:14:02.912171169 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4684044Z 2025-12-04T11:16:33.4684562Z [W1204 11:14:17.323996823 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4685229Z 2025-12-04T11:16:33.4685748Z [W1204 11:14:17.324253259 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4686414Z 2025-12-04T11:16:33.4686932Z [W1204 11:14:17.331606592 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4687589Z 2025-12-04T11:16:33.4688117Z [W1204 11:14:17.332285739 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4688770Z 2025-12-04T11:16:33.4689299Z [W1204 11:14:17.332472727 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4689954Z 2025-12-04T11:16:33.4690469Z [W1204 11:14:17.339356824 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4691215Z 2025-12-04T11:16:33.4691734Z [W1204 11:14:17.340018232 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4692421Z 2025-12-04T11:16:33.4693054Z [W1204 11:14:17.340211813 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4693712Z 2025-12-04T11:16:33.4694244Z [W1204 11:14:19.341806155 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4694893Z 2025-12-04T11:16:33.4695423Z [W1204 11:14:19.343504020 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4696082Z 2025-12-04T11:16:33.4696592Z [W1204 11:14:19.343715232 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4697254Z 2025-12-04T11:16:33.4697766Z [W1204 11:14:19.347667718 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4698429Z 2025-12-04T11:16:33.4698946Z [W1204 11:14:19.348314983 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4699596Z 2025-12-04T11:16:33.4700220Z [W1204 11:14:19.348509969 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4700873Z 2025-12-04T11:16:33.4701403Z [W1204 11:14:19.354626074 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4702060Z 2025-12-04T11:16:33.4702607Z [W1204 11:14:19.355270291 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4703278Z 2025-12-04T11:16:33.4703791Z [W1204 11:14:19.355463253 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4704707Z 2025-12-04T11:16:33.4704858Z ('RERUN', {'yellow': True}) [19.2631s] [100%] 2025-12-04T11:16:33.4706427Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:14:19.716006145 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4707843Z 2025-12-04T11:16:33.4708371Z [W1204 11:14:19.716765759 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4709025Z 2025-12-04T11:16:33.4709548Z [W1204 11:14:19.716969886 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4710213Z 2025-12-04T11:16:33.4710727Z [W1204 11:14:19.720982454 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4711395Z 2025-12-04T11:16:33.4711917Z [W1204 11:14:19.721775739 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4712581Z 2025-12-04T11:16:33.4713094Z [W1204 11:14:19.721975032 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4713744Z 2025-12-04T11:16:33.4714268Z [W1204 11:14:19.728059076 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4714915Z 2025-12-04T11:16:33.4715430Z [W1204 11:14:19.728672445 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4716094Z 2025-12-04T11:16:33.4716607Z [W1204 11:14:19.728862074 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4717269Z 2025-12-04T11:16:33.4717782Z [W1204 11:14:20.815779322 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4718444Z 2025-12-04T11:16:33.4718966Z [W1204 11:14:20.816527190 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4719620Z 2025-12-04T11:16:33.4720153Z [W1204 11:14:20.816736449 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4720810Z 2025-12-04T11:16:33.4721333Z [W1204 11:14:20.820704118 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4721984Z 2025-12-04T11:16:33.4722494Z [W1204 11:14:20.821340285 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4723157Z 2025-12-04T11:16:33.4723672Z [W1204 11:14:20.821535680 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4724332Z 2025-12-04T11:16:33.4724958Z [W1204 11:14:20.827604719 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4725612Z 2025-12-04T11:16:33.4726141Z [W1204 11:14:20.828394118 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4726795Z 2025-12-04T11:16:33.4727327Z [W1204 11:14:20.828587491 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4728022Z 2025-12-04T11:16:33.4728156Z ('RERUN', {'yellow': True}) [0.4338s] [100%] 2025-12-04T11:16:33.4729704Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:14:20.123573928 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4731249Z 2025-12-04T11:16:33.4731773Z [W1204 11:14:20.124322310 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4732431Z 2025-12-04T11:16:33.4732965Z [W1204 11:14:20.124524063 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4733614Z 2025-12-04T11:16:33.4734145Z [W1204 11:14:20.128480460 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4734801Z 2025-12-04T11:16:33.4735316Z [W1204 11:14:20.129262523 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4735981Z 2025-12-04T11:16:33.4736499Z [W1204 11:14:20.129452460 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4737161Z 2025-12-04T11:16:33.4737679Z [W1204 11:14:20.135523802 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4738327Z 2025-12-04T11:16:33.4738854Z [W1204 11:14:20.136146247 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4739517Z 2025-12-04T11:16:33.4740051Z [W1204 11:14:20.136335357 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4740712Z 2025-12-04T11:16:33.4741227Z [W1204 11:14:20.224225424 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4741895Z 2025-12-04T11:16:33.4742410Z [W1204 11:14:20.225013670 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4743076Z 2025-12-04T11:16:33.4743593Z [W1204 11:14:20.225218172 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4744242Z 2025-12-04T11:16:33.4744771Z [W1204 11:14:20.229210167 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4745426Z 2025-12-04T11:16:33.4745951Z [W1204 11:14:20.229850382 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4746610Z 2025-12-04T11:16:33.4747129Z [W1204 11:14:20.230066251 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4747797Z 2025-12-04T11:16:33.4748309Z [W1204 11:14:20.236142887 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4748983Z 2025-12-04T11:16:33.4749568Z [W1204 11:14:20.236941153 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4750236Z 2025-12-04T11:16:33.4750750Z [W1204 11:14:20.237133860 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4751406Z 2025-12-04T11:16:33.4751523Z FAILED [0.4069s] [100%] 2025-12-04T11:16:33.4751700Z 2025-12-04T11:16:33.4751843Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4752683Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4753467Z Traceback (most recent call last): 2025-12-04T11:16:33.4754543Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4755630Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4756591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4757447Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4758505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4759511Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4760143Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4760443Z 2025-12-04T11:16:33.4760590Z Expected 1 but got 2. 2025-12-04T11:16:33.4760992Z Absolute difference: 1 2025-12-04T11:16:33.4761441Z Relative difference: 1.0 2025-12-04T11:16:33.4761671Z 2025-12-04T11:16:33.4761926Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4763315Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4764481Z 2025-12-04T11:16:33.4764813Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4765566Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4766121Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4767104Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4768121Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4768693Z graph_break [] 2025-12-04T11:16:33.4769191Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4770900Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4772598Z if out == self.unknown_value: 2025-12-04T11:16:33.4773745Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4774790Z warnings.warn( 2025-12-04T11:16:33.4775790Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4776938Z warnings.warn( 2025-12-04T11:16:33.4777756Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4778591Z Traceback (most recent call last): 2025-12-04T11:16:33.4779587Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4780601Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4781646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4782508Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4783468Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4784508Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4785160Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4785450Z 2025-12-04T11:16:33.4785593Z Expected 1 but got 2. 2025-12-04T11:16:33.4786010Z Absolute difference: 1 2025-12-04T11:16:33.4786446Z Relative difference: 1.0 2025-12-04T11:16:33.4786673Z 2025-12-04T11:16:33.4786924Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4788425Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4789585Z 2025-12-04T11:16:33.4789891Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4790636Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4791199Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4792082Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4793099Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4793724Z graph_break [] 2025-12-04T11:16:33.4794161Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4795858Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4797480Z if out == self.unknown_value: 2025-12-04T11:16:33.4798549Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4799657Z warnings.warn( 2025-12-04T11:16:33.4800691Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4801773Z warnings.warn( 2025-12-04T11:16:33.4802255Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4802856Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4803412Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4804421Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4805581Z graph_break [] 2025-12-04T11:16:33.4806030Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4807222Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4808363Z warnings.warn( 2025-12-04T11:16:33.4809329Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4810457Z warnings.warn( 2025-12-04T11:16:33.4810944Z =================================== FAILURES =================================== 2025-12-04T11:16:33.4812016Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4812831Z Traceback (most recent call last): 2025-12-04T11:16:33.4813894Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4814900Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4815895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4816736Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4817742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4818827Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4819483Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4819773Z 2025-12-04T11:16:33.4819967Z Expected 1 but got 2. 2025-12-04T11:16:33.4820413Z Absolute difference: 1 2025-12-04T11:16:33.4820818Z Relative difference: 1.0 2025-12-04T11:16:33.4821051Z 2025-12-04T11:16:33.4821302Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4822725Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4823857Z 2025-12-04T11:16:33.4824162Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4824880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4825486Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4826344Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4827343Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4827974Z graph_break [] 2025-12-04T11:16:33.4828482Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4830177Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4831809Z if out == self.unknown_value: 2025-12-04T11:16:33.4832874Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4842812Z warnings.warn( 2025-12-04T11:16:33.4843850Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4844837Z warnings.warn( 2025-12-04T11:16:33.4845232Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4845720Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4846168Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4847081Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4847857Z graph_break [] 2025-12-04T11:16:33.4848233Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4849324Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4850304Z warnings.warn( 2025-12-04T11:16:33.4851283Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4852254Z warnings.warn( 2025-12-04T11:16:33.4852623Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4853101Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4853689Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4854585Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4855360Z graph_break [] 2025-12-04T11:16:33.4855733Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4856896Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4857855Z warnings.warn( 2025-12-04T11:16:33.4858743Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4859752Z warnings.warn( 2025-12-04T11:16:33.4860764Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-d9d632feefbefece.xml - 2025-12-04T11:16:33.4861929Z =========================== short test summary info ============================ 2025-12-04T11:16:33.4863212Z FAILED [0.4069s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4864286Z 2025-12-04T11:16:33.4864409Z Expected 1 but got 2. 2025-12-04T11:16:33.4864701Z Absolute difference: 1 2025-12-04T11:16:33.4864986Z Relative difference: 1.0 2025-12-04T11:16:33.4865191Z 2025-12-04T11:16:33.4865407Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4866674Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4867712Z 2025-12-04T11:16:33.4867982Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4868573Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.4869097Z ================== 1 failed, 10 deselected, 2 rerun in 20.14s ================== 2025-12-04T11:16:33.4869540Z Got exit code 1 2025-12-04T11:16:33.4869796Z Retrying single test... 2025-12-04T11:16:33.4870437Z W1204 11:14:31.910000 95472 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.4871686Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-f80ad412f306551d.xml 2025-12-04T11:16:33.4872657Z ============================= test session starts ============================== 2025-12-04T11:16:33.4873315Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.4873923Z cachedir: .pytest_cache 2025-12-04T11:16:33.4874630Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.4875407Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.4875758Z configfile: pytest.ini 2025-12-04T11:16:33.4876490Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.4877389Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.4878725Z stepcurrent: skipping 9 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4879959Z Running 1 items in this shard 2025-12-04T11:16:33.4880169Z 2025-12-04T11:16:33.4881535Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:14:35.152398967 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4882960Z 2025-12-04T11:16:33.4883494Z [W1204 11:14:50.390236886 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4884181Z 2025-12-04T11:16:33.4884711Z [W1204 11:14:50.390517168 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4885366Z 2025-12-04T11:16:33.4885879Z [W1204 11:14:50.398195773 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4886578Z 2025-12-04T11:16:33.4887093Z [W1204 11:14:50.399015767 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4887767Z 2025-12-04T11:16:33.4888277Z [W1204 11:14:50.399213708 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4888928Z 2025-12-04T11:16:33.4889454Z [W1204 11:14:50.406504865 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4890102Z 2025-12-04T11:16:33.4890632Z [W1204 11:14:50.407308716 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4891388Z 2025-12-04T11:16:33.4891903Z [W1204 11:14:50.407509224 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4892574Z 2025-12-04T11:16:33.4893087Z [W1204 11:14:52.426380433 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4893751Z 2025-12-04T11:16:33.4894267Z [W1204 11:14:52.428166538 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4894917Z 2025-12-04T11:16:33.4895444Z [W1204 11:14:52.428388395 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4896097Z 2025-12-04T11:16:33.4896622Z [W1204 11:14:52.432518468 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4897276Z 2025-12-04T11:16:33.4897791Z [W1204 11:14:52.433243563 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4898461Z 2025-12-04T11:16:33.4898973Z [W1204 11:14:52.433453446 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4899632Z 2025-12-04T11:16:33.4900147Z [W1204 11:14:52.439677233 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4900797Z 2025-12-04T11:16:33.4901322Z [W1204 11:14:52.440402898 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4901974Z 2025-12-04T11:16:33.4902499Z [W1204 11:14:52.440613746 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4903155Z 2025-12-04T11:16:33.4903287Z ('RERUN', {'yellow': True}) [19.0500s] [100%] 2025-12-04T11:16:33.4905105Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:14:53.817097504 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4906538Z 2025-12-04T11:16:33.4907186Z [W1204 11:14:53.817903063 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4907853Z 2025-12-04T11:16:33.4908371Z [W1204 11:14:53.818117312 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4909024Z 2025-12-04T11:16:33.4909555Z [W1204 11:14:53.822258041 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4910251Z 2025-12-04T11:16:33.4910790Z [W1204 11:14:53.823143645 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4911486Z 2025-12-04T11:16:33.4911999Z [W1204 11:14:53.823345467 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4912665Z 2025-12-04T11:16:33.4913186Z [W1204 11:14:53.829535623 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4913849Z 2025-12-04T11:16:33.4914363Z [W1204 11:14:53.830235621 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4915013Z 2025-12-04T11:16:33.4915544Z [W1204 11:14:53.830439928 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4916198Z 2025-12-04T11:16:33.4916725Z [W1204 11:14:53.922862288 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4917378Z 2025-12-04T11:16:33.4917898Z [W1204 11:14:53.923682763 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4918565Z 2025-12-04T11:16:33.4919080Z [W1204 11:14:53.923916818 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4919743Z 2025-12-04T11:16:33.4920258Z [W1204 11:14:53.927981334 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4920905Z 2025-12-04T11:16:33.4921429Z [W1204 11:14:53.928659871 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4922079Z 2025-12-04T11:16:33.4922606Z [W1204 11:14:53.928863038 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4923256Z 2025-12-04T11:16:33.4923768Z [W1204 11:14:53.935030629 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4924427Z 2025-12-04T11:16:33.4924944Z [W1204 11:14:53.935894653 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4925605Z 2025-12-04T11:16:33.4926115Z [W1204 11:14:53.936092303 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4926763Z 2025-12-04T11:16:33.4926907Z ('RERUN', {'yellow': True}) [0.4547s] [100%] 2025-12-04T11:16:33.4928456Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 [W1204 11:14:53.237469380 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4929858Z 2025-12-04T11:16:33.4930371Z [W1204 11:14:53.238211306 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4931132Z 2025-12-04T11:16:33.4931737Z [W1204 11:14:53.238421328 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4932401Z 2025-12-04T11:16:33.4932914Z [W1204 11:14:53.242404090 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4933564Z 2025-12-04T11:16:33.4934091Z [W1204 11:14:53.243212664 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4934776Z 2025-12-04T11:16:33.4935303Z [W1204 11:14:53.243411186 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4935952Z 2025-12-04T11:16:33.4936465Z [W1204 11:14:53.249445435 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4937156Z 2025-12-04T11:16:33.4937673Z [W1204 11:14:53.250082534 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4938334Z 2025-12-04T11:16:33.4938844Z [W1204 11:14:53.250279813 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4939507Z 2025-12-04T11:16:33.4940019Z [W1204 11:14:53.336867148 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4940674Z 2025-12-04T11:16:33.4941203Z [W1204 11:14:53.337595291 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4941851Z 2025-12-04T11:16:33.4942376Z [W1204 11:14:53.337801932 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4943030Z 2025-12-04T11:16:33.4943540Z [W1204 11:14:53.341783745 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4944205Z 2025-12-04T11:16:33.4944720Z [W1204 11:14:53.342423145 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4945380Z 2025-12-04T11:16:33.4945893Z [W1204 11:14:53.342623155 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4946545Z 2025-12-04T11:16:33.4947072Z [W1204 11:14:53.348615445 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4947722Z 2025-12-04T11:16:33.4948248Z [W1204 11:14:53.349389125 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4948899Z 2025-12-04T11:16:33.4949410Z [W1204 11:14:53.349583997 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.4950072Z 2025-12-04T11:16:33.4950180Z FAILED [0.4099s] [100%] 2025-12-04T11:16:33.4950355Z 2025-12-04T11:16:33.4950511Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.4951319Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4952084Z Traceback (most recent call last): 2025-12-04T11:16:33.4952848Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4953734Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4954560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4955337Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4956179Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4957135Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4957603Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4957865Z 2025-12-04T11:16:33.4957972Z Expected 1 but got 2. 2025-12-04T11:16:33.4958266Z Absolute difference: 1 2025-12-04T11:16:33.4958553Z Relative difference: 1.0 2025-12-04T11:16:33.4958761Z 2025-12-04T11:16:33.4959006Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4960284Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4961333Z 2025-12-04T11:16:33.4961675Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4962299Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4962788Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4963545Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4964451Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4964913Z graph_break [] 2025-12-04T11:16:33.4965284Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4966872Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4968336Z if out == self.unknown_value: 2025-12-04T11:16:33.4969278Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4970253Z warnings.warn( 2025-12-04T11:16:33.4971230Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4972208Z warnings.warn( 2025-12-04T11:16:33.4972871Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.4973650Z Traceback (most recent call last): 2025-12-04T11:16:33.4974400Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.4975267Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.4976091Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.4976858Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.4977707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.4978576Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.4979050Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.4979298Z 2025-12-04T11:16:33.4979416Z Expected 1 but got 2. 2025-12-04T11:16:33.4979693Z Absolute difference: 1 2025-12-04T11:16:33.4979990Z Relative difference: 1.0 2025-12-04T11:16:33.4980195Z 2025-12-04T11:16:33.4980408Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.4981671Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.4982715Z 2025-12-04T11:16:33.4982983Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.4983616Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4984175Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4984926Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4985816Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4986291Z graph_break [] 2025-12-04T11:16:33.4986666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4988271Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.4989770Z if out == self.unknown_value: 2025-12-04T11:16:33.4990860Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4991843Z warnings.warn( 2025-12-04T11:16:33.4992722Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4993690Z warnings.warn( 2025-12-04T11:16:33.4994072Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.4994552Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.4994984Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.4995891Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.4996668Z graph_break [] 2025-12-04T11:16:33.4997031Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.4998136Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.4999111Z warnings.warn( 2025-12-04T11:16:33.5000001Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5000957Z warnings.warn( 2025-12-04T11:16:33.5001265Z =================================== FAILURES =================================== 2025-12-04T11:16:33.5002073Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5002851Z Traceback (most recent call last): 2025-12-04T11:16:33.5003594Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5004634Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5005479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5006234Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5007086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5007978Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5008460Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5008710Z 2025-12-04T11:16:33.5008817Z Expected 1 but got 2. 2025-12-04T11:16:33.5009102Z Absolute difference: 1 2025-12-04T11:16:33.5009395Z Relative difference: 1.0 2025-12-04T11:16:33.5009585Z 2025-12-04T11:16:33.5009808Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5011152Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5012200Z 2025-12-04T11:16:33.5012615Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5013237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5013718Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5014467Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5015410Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5015866Z graph_break [] 2025-12-04T11:16:33.5016236Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5017815Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.5019357Z if out == self.unknown_value: 2025-12-04T11:16:33.5020297Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5021272Z warnings.warn( 2025-12-04T11:16:33.5022167Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5023140Z warnings.warn( 2025-12-04T11:16:33.5023509Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5023989Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5024434Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5025325Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5026097Z graph_break [] 2025-12-04T11:16:33.5026475Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5027564Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5028521Z warnings.warn( 2025-12-04T11:16:33.5029404Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5030364Z warnings.warn( 2025-12-04T11:16:33.5030726Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5031201Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5031640Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5032536Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5033279Z graph_break [] 2025-12-04T11:16:33.5033638Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5034735Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5035706Z warnings.warn( 2025-12-04T11:16:33.5036584Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5037541Z warnings.warn( 2025-12-04T11:16:33.5038532Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-f80ad412f306551d.xml - 2025-12-04T11:16:33.5039675Z =========================== short test summary info ============================ 2025-12-04T11:16:33.5041002Z FAILED [0.4099s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5042090Z 2025-12-04T11:16:33.5042198Z Expected 1 but got 2. 2025-12-04T11:16:33.5042489Z Absolute difference: 1 2025-12-04T11:16:33.5042771Z Relative difference: 1.0 2025-12-04T11:16:33.5042965Z 2025-12-04T11:16:33.5043209Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5044464Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5045542Z 2025-12-04T11:16:33.5045820Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5046399Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.5046924Z ================== 1 failed, 10 deselected, 2 rerun in 19.95s ================== 2025-12-04T11:16:33.5047360Z Got exit code 1 2025-12-04T11:16:33.5048339Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5049698Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.5050700Z W1204 11:15:04.408000 95653 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.5052039Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-6f32b3bb7fab5be2.xml 2025-12-04T11:16:33.5053019Z ============================= test session starts ============================== 2025-12-04T11:16:33.5053679Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.5054281Z cachedir: .pytest_cache 2025-12-04T11:16:33.5054988Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.5055761Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.5056111Z configfile: pytest.ini 2025-12-04T11:16:33.5056835Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.5057728Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.5058205Z stepcurrent: skipping 10 already run items. 2025-12-04T11:16:33.5058596Z Running 1 items in this shard 2025-12-04T11:16:33.5058808Z 2025-12-04T11:16:33.5059689Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [3.8068s] [100%] 2025-12-04T11:16:33.5061553Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.3928s] [100%] 2025-12-04T11:16:33.5063309Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 FAILED [0.3796s] [100%] 2025-12-04T11:16:33.5064232Z 2025-12-04T11:16:33.5064373Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.5065163Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5065933Z Traceback (most recent call last): 2025-12-04T11:16:33.5066675Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5067556Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5068463Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5069231Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5070054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5070964Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5071440Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5071685Z 2025-12-04T11:16:33.5071790Z Expected 1 but got 2. 2025-12-04T11:16:33.5072078Z Absolute difference: 1 2025-12-04T11:16:33.5072369Z Relative difference: 1.0 2025-12-04T11:16:33.5072591Z 2025-12-04T11:16:33.5072816Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5074067Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5075117Z 2025-12-04T11:16:33.5075380Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5076016Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5076495Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5077231Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5078132Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5078600Z graph_break [] 2025-12-04T11:16:33.5078955Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5080052Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5081026Z warnings.warn( 2025-12-04T11:16:33.5081914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5082870Z warnings.warn( 2025-12-04T11:16:33.5083540Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5084311Z Traceback (most recent call last): 2025-12-04T11:16:33.5085059Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5085928Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5086755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5087518Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5088063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5088268Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5088412Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5088418Z 2025-12-04T11:16:33.5088520Z Expected 1 but got 2. 2025-12-04T11:16:33.5088637Z Absolute difference: 1 2025-12-04T11:16:33.5088748Z Relative difference: 1.0 2025-12-04T11:16:33.5088754Z 2025-12-04T11:16:33.5088968Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5089895Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5089902Z 2025-12-04T11:16:33.5090170Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5090461Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5090579Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5091199Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5091443Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5091545Z graph_break [] 2025-12-04T11:16:33.5091798Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5092549Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5092651Z warnings.warn( 2025-12-04T11:16:33.5093495Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5093598Z warnings.warn( 2025-12-04T11:16:33.5093821Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5093946Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5094173Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5094714Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5094813Z graph_break [] 2025-12-04T11:16:33.5095031Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5095768Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5095870Z warnings.warn( 2025-12-04T11:16:33.5096592Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5096707Z warnings.warn( 2025-12-04T11:16:33.5096854Z =================================== FAILURES =================================== 2025-12-04T11:16:33.5097374Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5097496Z Traceback (most recent call last): 2025-12-04T11:16:33.5098012Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5098253Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5098714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5098891Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5099424Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5099631Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5099770Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5099775Z 2025-12-04T11:16:33.5099880Z Expected 1 but got 2. 2025-12-04T11:16:33.5099987Z Absolute difference: 1 2025-12-04T11:16:33.5100107Z Relative difference: 1.0 2025-12-04T11:16:33.5100112Z 2025-12-04T11:16:33.5100323Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5101242Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5101247Z 2025-12-04T11:16:33.5101514Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5101731Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5101855Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5102442Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5102684Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5102780Z graph_break [] 2025-12-04T11:16:33.5102994Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5103778Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5103874Z warnings.warn( 2025-12-04T11:16:33.5104837Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5105025Z warnings.warn( 2025-12-04T11:16:33.5105241Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5105373Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5105597Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5106127Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5106238Z graph_break [] 2025-12-04T11:16:33.5106450Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5107184Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5107288Z warnings.warn( 2025-12-04T11:16:33.5108013Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5108123Z warnings.warn( 2025-12-04T11:16:33.5108338Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5108452Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5108685Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5109212Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5109321Z graph_break [] 2025-12-04T11:16:33.5109536Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5110261Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5110370Z warnings.warn( 2025-12-04T11:16:33.5111091Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5111187Z warnings.warn( 2025-12-04T11:16:33.5112043Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-6f32b3bb7fab5be2.xml - 2025-12-04T11:16:33.5112214Z =========================== short test summary info ============================ 2025-12-04T11:16:33.5113168Z FAILED [0.3796s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5113178Z 2025-12-04T11:16:33.5113282Z Expected 1 but got 2. 2025-12-04T11:16:33.5113389Z Absolute difference: 1 2025-12-04T11:16:33.5113506Z Relative difference: 1.0 2025-12-04T11:16:33.5113513Z 2025-12-04T11:16:33.5113729Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5114750Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5114757Z 2025-12-04T11:16:33.5115027Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5115207Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.5115413Z ================== 1 failed, 10 deselected, 2 rerun in 4.61s =================== 2025-12-04T11:16:33.5115555Z Got exit code 1 2025-12-04T11:16:33.5115670Z Retrying single test... 2025-12-04T11:16:33.5116118Z W1204 11:15:24.436000 95822 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.5116782Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-2a389de2119aa0b6.xml 2025-12-04T11:16:33.5116984Z ============================= test session starts ============================== 2025-12-04T11:16:33.5117344Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.5117452Z cachedir: .pytest_cache 2025-12-04T11:16:33.5117989Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.5118115Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.5118229Z configfile: pytest.ini 2025-12-04T11:16:33.5118773Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.5118992Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.5119995Z stepcurrent: skipping 10 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5120113Z Running 1 items in this shard 2025-12-04T11:16:33.5120118Z 2025-12-04T11:16:33.5121407Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:15:27.749103407 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5121414Z 2025-12-04T11:16:33.5121933Z [W1204 11:15:43.455413063 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5121940Z 2025-12-04T11:16:33.5122464Z [W1204 11:15:43.455672828 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5122470Z 2025-12-04T11:16:33.5122982Z [W1204 11:15:43.463037094 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5122987Z 2025-12-04T11:16:33.5123513Z [W1204 11:15:43.463731897 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5123518Z 2025-12-04T11:16:33.5124028Z [W1204 11:15:43.463921400 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5124033Z 2025-12-04T11:16:33.5124544Z [W1204 11:15:43.470822110 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5124551Z 2025-12-04T11:16:33.5125069Z [W1204 11:15:43.471491637 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5125074Z 2025-12-04T11:16:33.5125584Z [W1204 11:15:43.471676674 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5125590Z 2025-12-04T11:16:33.5126167Z [W1204 11:15:45.472067522 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5126172Z 2025-12-04T11:16:33.5126682Z [W1204 11:15:45.473798819 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5126687Z 2025-12-04T11:16:33.5127210Z [W1204 11:15:45.474012061 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5127243Z 2025-12-04T11:16:33.5127754Z [W1204 11:15:45.477921279 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5127759Z 2025-12-04T11:16:33.5128279Z [W1204 11:15:45.478572332 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5128313Z 2025-12-04T11:16:33.5128827Z [W1204 11:15:45.478781504 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5128832Z 2025-12-04T11:16:33.5129339Z [W1204 11:15:45.484808635 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5129356Z 2025-12-04T11:16:33.5129861Z [W1204 11:15:45.485440314 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5129869Z 2025-12-04T11:16:33.5130378Z [W1204 11:15:45.485633462 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5130383Z 2025-12-04T11:16:33.5130528Z ('RERUN', {'yellow': True}) [19.5415s] [100%] 2025-12-04T11:16:33.5131920Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:15:46.844186348 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5131927Z 2025-12-04T11:16:33.5132458Z [W1204 11:15:46.844949087 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5132463Z 2025-12-04T11:16:33.5132973Z [W1204 11:15:46.845156854 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5132980Z 2025-12-04T11:16:33.5133503Z [W1204 11:15:46.849079585 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5133508Z 2025-12-04T11:16:33.5134017Z [W1204 11:15:46.849866349 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5134024Z 2025-12-04T11:16:33.5134545Z [W1204 11:15:46.850084006 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5134554Z 2025-12-04T11:16:33.5135063Z [W1204 11:15:46.856105995 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5135068Z 2025-12-04T11:16:33.5135579Z [W1204 11:15:46.856715458 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5135596Z 2025-12-04T11:16:33.5136105Z [W1204 11:15:46.856902033 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5136110Z 2025-12-04T11:16:33.5136618Z [W1204 11:15:46.944147028 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5136625Z 2025-12-04T11:16:33.5137143Z [W1204 11:15:46.944924869 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5137211Z 2025-12-04T11:16:33.5137723Z [W1204 11:15:46.945133349 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5137728Z 2025-12-04T11:16:33.5138245Z [W1204 11:15:46.949049946 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5138250Z 2025-12-04T11:16:33.5138790Z [W1204 11:15:46.949686464 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5138795Z 2025-12-04T11:16:33.5139308Z [W1204 11:15:46.949879418 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5139342Z 2025-12-04T11:16:33.5139849Z [W1204 11:15:46.955892684 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5139855Z 2025-12-04T11:16:33.5140367Z [W1204 11:15:46.956699700 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5140380Z 2025-12-04T11:16:33.5140887Z [W1204 11:15:46.956893959 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5140892Z 2025-12-04T11:16:33.5141021Z ('RERUN', {'yellow': True}) [0.4320s] [100%] 2025-12-04T11:16:33.5142316Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:15:46.252620272 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5142324Z 2025-12-04T11:16:33.5142837Z [W1204 11:15:46.253389190 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5142842Z 2025-12-04T11:16:33.5143371Z [W1204 11:15:46.253594275 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5143375Z 2025-12-04T11:16:33.5143884Z [W1204 11:15:46.257504023 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5143890Z 2025-12-04T11:16:33.5144411Z [W1204 11:15:46.258307391 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5144417Z 2025-12-04T11:16:33.5144926Z [W1204 11:15:46.258497441 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5144933Z 2025-12-04T11:16:33.5145457Z [W1204 11:15:46.264542341 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5145462Z 2025-12-04T11:16:33.5145976Z [W1204 11:15:46.265177992 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5145980Z 2025-12-04T11:16:33.5146489Z [W1204 11:15:46.265364736 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5146505Z 2025-12-04T11:16:33.5147011Z [W1204 11:15:46.352654709 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5147018Z 2025-12-04T11:16:33.5147527Z [W1204 11:15:46.353403701 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5147535Z 2025-12-04T11:16:33.5148060Z [W1204 11:15:46.353611415 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5148065Z 2025-12-04T11:16:33.5148645Z [W1204 11:15:46.357489205 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5148650Z 2025-12-04T11:16:33.5149173Z [W1204 11:15:46.358123077 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5149177Z 2025-12-04T11:16:33.5149690Z [W1204 11:15:46.358317928 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5149724Z 2025-12-04T11:16:33.5150245Z [W1204 11:15:46.364314068 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5150249Z 2025-12-04T11:16:33.5150790Z [W1204 11:15:46.365121170 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5150795Z 2025-12-04T11:16:33.5151318Z [W1204 11:15:46.365315239 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5151323Z 2025-12-04T11:16:33.5151427Z FAILED [0.4062s] [100%] 2025-12-04T11:16:33.5151432Z 2025-12-04T11:16:33.5151570Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.5152091Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5152218Z Traceback (most recent call last): 2025-12-04T11:16:33.5152740Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5152971Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5153434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5153607Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5154148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5154352Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5154495Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5154499Z 2025-12-04T11:16:33.5154601Z Expected 1 but got 2. 2025-12-04T11:16:33.5154719Z Absolute difference: 1 2025-12-04T11:16:33.5154830Z Relative difference: 1.0 2025-12-04T11:16:33.5154835Z 2025-12-04T11:16:33.5155046Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5155967Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5155975Z 2025-12-04T11:16:33.5156240Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5156473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5156588Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5157115Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5157353Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5157459Z graph_break [] 2025-12-04T11:16:33.5157677Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5158909Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.5159032Z if out == self.unknown_value: 2025-12-04T11:16:33.5159833Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5159939Z warnings.warn( 2025-12-04T11:16:33.5160666Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5160783Z warnings.warn( 2025-12-04T11:16:33.5161290Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5161457Z Traceback (most recent call last): 2025-12-04T11:16:33.5161967Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5162199Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5162710Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5162873Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5163414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5163638Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5163770Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5163776Z 2025-12-04T11:16:33.5163896Z Expected 1 but got 2. 2025-12-04T11:16:33.5164006Z Absolute difference: 1 2025-12-04T11:16:33.5164116Z Relative difference: 1.0 2025-12-04T11:16:33.5164121Z 2025-12-04T11:16:33.5164355Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5165265Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5165273Z 2025-12-04T11:16:33.5165554Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5165782Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5165899Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5166452Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5166679Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5166795Z graph_break [] 2025-12-04T11:16:33.5167016Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5168234Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.5168370Z if out == self.unknown_value: 2025-12-04T11:16:33.5169109Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5169216Z warnings.warn( 2025-12-04T11:16:33.5169958Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5170060Z warnings.warn( 2025-12-04T11:16:33.5170293Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5170410Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5170637Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5171266Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5171371Z graph_break [] 2025-12-04T11:16:33.5171600Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5172401Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5172503Z warnings.warn( 2025-12-04T11:16:33.5173238Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5173368Z warnings.warn( 2025-12-04T11:16:33.5173511Z =================================== FAILURES =================================== 2025-12-04T11:16:33.5174031Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5174182Z Traceback (most recent call last): 2025-12-04T11:16:33.5174702Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5174930Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5175396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5175571Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5176111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5176331Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5176464Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5176469Z 2025-12-04T11:16:33.5176573Z Expected 1 but got 2. 2025-12-04T11:16:33.5176691Z Absolute difference: 1 2025-12-04T11:16:33.5176803Z Relative difference: 1.0 2025-12-04T11:16:33.5176810Z 2025-12-04T11:16:33.5177025Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5177949Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5177954Z 2025-12-04T11:16:33.5178221Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5178452Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5178566Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5179102Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5179343Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5179442Z graph_break [] 2025-12-04T11:16:33.5179670Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5180897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.5181014Z if out == self.unknown_value: 2025-12-04T11:16:33.5181756Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5181858Z warnings.warn( 2025-12-04T11:16:33.5182595Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5182697Z warnings.warn( 2025-12-04T11:16:33.5182913Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5183043Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5183269Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5183860Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5183973Z graph_break [] 2025-12-04T11:16:33.5184189Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5184930Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5185060Z warnings.warn( 2025-12-04T11:16:33.5185783Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5185896Z warnings.warn( 2025-12-04T11:16:33.5186108Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5186253Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5186489Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5187026Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5187137Z graph_break [] 2025-12-04T11:16:33.5187352Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5188080Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5188192Z warnings.warn( 2025-12-04T11:16:33.5188914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5189026Z warnings.warn( 2025-12-04T11:16:33.5189876Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-2a389de2119aa0b6.xml - 2025-12-04T11:16:33.5190052Z =========================== short test summary info ============================ 2025-12-04T11:16:33.5191004Z FAILED [0.4062s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5191010Z 2025-12-04T11:16:33.5191116Z Expected 1 but got 2. 2025-12-04T11:16:33.5191237Z Absolute difference: 1 2025-12-04T11:16:33.5191349Z Relative difference: 1.0 2025-12-04T11:16:33.5191354Z 2025-12-04T11:16:33.5191572Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5192493Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5192501Z 2025-12-04T11:16:33.5192768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5192963Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.5193161Z ================== 1 failed, 10 deselected, 2 rerun in 20.41s ================== 2025-12-04T11:16:33.5193261Z Got exit code 1 2025-12-04T11:16:33.5193381Z Retrying single test... 2025-12-04T11:16:33.5193825Z W1204 11:15:57.762000 95996 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.5194489Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-1ec33691c49647e6.xml 2025-12-04T11:16:33.5194662Z ============================= test session starts ============================== 2025-12-04T11:16:33.5195012Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.5195136Z cachedir: .pytest_cache 2025-12-04T11:16:33.5195729Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.5195853Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.5195974Z configfile: pytest.ini 2025-12-04T11:16:33.5196519Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.5196737Z collecting ... collected 58 items / 10 deselected / 48 selected 2025-12-04T11:16:33.5197775Z stepcurrent: skipping 10 already run items. Running only test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5197890Z Running 1 items in this shard 2025-12-04T11:16:33.5197895Z 2025-12-04T11:16:33.5199230Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:16:01.050802381 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5199236Z 2025-12-04T11:16:33.5199757Z [W1204 11:16:16.425287184 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5199762Z 2025-12-04T11:16:33.5200289Z [W1204 11:16:16.425543713 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5200297Z 2025-12-04T11:16:33.5200808Z [W1204 11:16:16.432943566 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5200813Z 2025-12-04T11:16:33.5201339Z [W1204 11:16:16.433646498 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5201347Z 2025-12-04T11:16:33.5201861Z [W1204 11:16:16.433837992 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5201866Z 2025-12-04T11:16:33.5202374Z [W1204 11:16:16.440871655 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5202392Z 2025-12-04T11:16:33.5202904Z [W1204 11:16:16.441505524 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5202912Z 2025-12-04T11:16:33.5203423Z [W1204 11:16:16.441692223 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5203428Z 2025-12-04T11:16:33.5203950Z [W1204 11:16:18.439241234 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5203957Z 2025-12-04T11:16:33.5204674Z [W1204 11:16:18.440890153 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5204684Z 2025-12-04T11:16:33.5205214Z [W1204 11:16:18.441096910 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5205219Z 2025-12-04T11:16:33.5205728Z [W1204 11:16:18.444960492 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5205735Z 2025-12-04T11:16:33.5206255Z [W1204 11:16:18.445582503 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5206260Z 2025-12-04T11:16:33.5206772Z [W1204 11:16:18.445777138 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5206779Z 2025-12-04T11:16:33.5207302Z [W1204 11:16:18.451853043 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5207306Z 2025-12-04T11:16:33.5207925Z [W1204 11:16:18.452467676 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5207930Z 2025-12-04T11:16:33.5208442Z [W1204 11:16:18.452661250 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5208459Z 2025-12-04T11:16:33.5208635Z ('RERUN', {'yellow': True}) [19.1964s] [100%] 2025-12-04T11:16:33.5209908Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:16:19.789939641 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5209951Z 2025-12-04T11:16:33.5210479Z [W1204 11:16:19.790691579 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5210484Z 2025-12-04T11:16:33.5211065Z [W1204 11:16:19.790895504 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5211072Z 2025-12-04T11:16:33.5211601Z [W1204 11:16:19.794834998 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5211606Z 2025-12-04T11:16:33.5212116Z [W1204 11:16:19.795605342 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5212121Z 2025-12-04T11:16:33.5212642Z [W1204 11:16:19.795800628 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5212649Z 2025-12-04T11:16:33.5213159Z [W1204 11:16:19.801820492 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5213163Z 2025-12-04T11:16:33.5213677Z [W1204 11:16:19.802437309 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5213695Z 2025-12-04T11:16:33.5214203Z [W1204 11:16:19.802627356 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5214208Z 2025-12-04T11:16:33.5214717Z [W1204 11:16:19.886489535 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5214724Z 2025-12-04T11:16:33.5215248Z [W1204 11:16:19.887177116 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5215255Z 2025-12-04T11:16:33.5215764Z [W1204 11:16:19.887375705 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5215768Z 2025-12-04T11:16:33.5216296Z [W1204 11:16:19.891252227 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5216301Z 2025-12-04T11:16:33.5216809Z [W1204 11:16:19.891867088 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5216814Z 2025-12-04T11:16:33.5217338Z [W1204 11:16:19.892060731 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5217346Z 2025-12-04T11:16:33.5217856Z [W1204 11:16:19.898088049 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5217861Z 2025-12-04T11:16:33.5218384Z [W1204 11:16:19.898867647 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5218389Z 2025-12-04T11:16:33.5218960Z [W1204 11:16:19.899062027 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5218966Z 2025-12-04T11:16:33.5219098Z ('RERUN', {'yellow': True}) [0.4079s] [100%] 2025-12-04T11:16:33.5220385Z inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 [W1204 11:16:19.168162891 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5220420Z 2025-12-04T11:16:33.5220936Z [W1204 11:16:19.168870591 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5220941Z 2025-12-04T11:16:33.5221495Z [W1204 11:16:19.169071170 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5221499Z 2025-12-04T11:16:33.5222013Z [W1204 11:16:19.172990013 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5222018Z 2025-12-04T11:16:33.5222541Z [W1204 11:16:19.173748807 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5222546Z 2025-12-04T11:16:33.5223059Z [W1204 11:16:19.173939862 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5223065Z 2025-12-04T11:16:33.5223588Z [W1204 11:16:19.179921516 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5223593Z 2025-12-04T11:16:33.5224102Z [W1204 11:16:19.180549320 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5224109Z 2025-12-04T11:16:33.5224637Z [W1204 11:16:19.180751264 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5224642Z 2025-12-04T11:16:33.5225151Z [W1204 11:16:19.263686968 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5225156Z 2025-12-04T11:16:33.5225665Z [W1204 11:16:19.264327173 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5225671Z 2025-12-04T11:16:33.5226195Z [W1204 11:16:19.264522319 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5226200Z 2025-12-04T11:16:33.5226707Z [W1204 11:16:19.268381547 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5226714Z 2025-12-04T11:16:33.5227243Z [W1204 11:16:19.268984403 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5227247Z 2025-12-04T11:16:33.5227757Z [W1204 11:16:19.269178451 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5227761Z 2025-12-04T11:16:33.5228285Z [W1204 11:16:19.275133392 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5228292Z 2025-12-04T11:16:33.5228803Z [W1204 11:16:19.275899940 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5228808Z 2025-12-04T11:16:33.5229329Z [W1204 11:16:19.276094480 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:16:33.5229336Z 2025-12-04T11:16:33.5229438Z FAILED [0.3746s] [100%] 2025-12-04T11:16:33.5229443Z 2025-12-04T11:16:33.5229639Z ==================================== RERUNS ==================================== 2025-12-04T11:16:33.5230164Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5230288Z Traceback (most recent call last): 2025-12-04T11:16:33.5230812Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5231074Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5231540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5231718Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5232257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5232507Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5232650Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5232659Z 2025-12-04T11:16:33.5232766Z Expected 1 but got 2. 2025-12-04T11:16:33.5232887Z Absolute difference: 1 2025-12-04T11:16:33.5232998Z Relative difference: 1.0 2025-12-04T11:16:33.5233002Z 2025-12-04T11:16:33.5233218Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5234145Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5234154Z 2025-12-04T11:16:33.5234423Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5234657Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5234777Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5235315Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5235557Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5235660Z graph_break [] 2025-12-04T11:16:33.5235877Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5237106Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.5237227Z if out == self.unknown_value: 2025-12-04T11:16:33.5237978Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5238082Z warnings.warn( 2025-12-04T11:16:33.5238815Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5238931Z warnings.warn( 2025-12-04T11:16:33.5239437Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5239574Z Traceback (most recent call last): 2025-12-04T11:16:33.5240083Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5240319Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5240791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5240955Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5241511Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5241717Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5241909Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5241914Z 2025-12-04T11:16:33.5242034Z Expected 1 but got 2. 2025-12-04T11:16:33.5242143Z Absolute difference: 1 2025-12-04T11:16:33.5242253Z Relative difference: 1.0 2025-12-04T11:16:33.5242257Z 2025-12-04T11:16:33.5242486Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5243393Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5243428Z 2025-12-04T11:16:33.5243710Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5243956Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5244072Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5244628Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5244857Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5244969Z graph_break [] 2025-12-04T11:16:33.5245181Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5246394Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.5246528Z if out == self.unknown_value: 2025-12-04T11:16:33.5247258Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5247371Z warnings.warn( 2025-12-04T11:16:33.5248097Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5248195Z warnings.warn( 2025-12-04T11:16:33.5248429Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5248543Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5248767Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5249310Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5249407Z graph_break [] 2025-12-04T11:16:33.5249633Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5250360Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5250459Z warnings.warn( 2025-12-04T11:16:33.5251317Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5251419Z warnings.warn( 2025-12-04T11:16:33.5251561Z =================================== FAILURES =================================== 2025-12-04T11:16:33.5252084Z _ TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 _ 2025-12-04T11:16:33.5252209Z Traceback (most recent call last): 2025-12-04T11:16:33.5252734Z File "/var/lib/jenkins/workspace/test/inductor/test_cuda_select_algorithm.py", line 130, in test_int8_woq_mm_cuda 2025-12-04T11:16:33.5252963Z self.assertEqual(counters["inductor"]["woq_matcher_count"], 1) 2025-12-04T11:16:33.5253423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:16:33.5253598Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:16:33.5254200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:16:33.5254420Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:16:33.5254550Z AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5254555Z 2025-12-04T11:16:33.5254659Z Expected 1 but got 2. 2025-12-04T11:16:33.5254778Z Absolute difference: 1 2025-12-04T11:16:33.5254920Z Relative difference: 1.0 2025-12-04T11:16:33.5254924Z 2025-12-04T11:16:33.5255141Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5256059Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5256094Z 2025-12-04T11:16:33.5256361Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5256596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5256709Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5257240Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5257476Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5257576Z graph_break [] 2025-12-04T11:16:33.5257801Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5259015Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:16:33.5259134Z if out == self.unknown_value: 2025-12-04T11:16:33.5259878Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5259979Z warnings.warn( 2025-12-04T11:16:33.5260718Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5260818Z warnings.warn( 2025-12-04T11:16:33.5261032Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5261161Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5261384Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5261916Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5262029Z graph_break [] 2025-12-04T11:16:33.5262242Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5262987Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5263087Z warnings.warn( 2025-12-04T11:16:33.5263807Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5263919Z warnings.warn( 2025-12-04T11:16:33.5264134Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:16:33.5264247Z stats [('calls_captured', 6)] 2025-12-04T11:16:33.5264486Z aot_autograd [('total', 2), ('autograd_cache_bypass', 2), ('not_ok', 2)] 2025-12-04T11:16:33.5265015Z inductor [('pattern_matcher_nodes', 16), ('woq_matcher_nodes', 12), ('pattern_matcher_count', 6), ('fxgraph_cache_miss', 2), ('woq_matcher_count', 2)] 2025-12-04T11:16:33.5265128Z graph_break [] 2025-12-04T11:16:33.5265339Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:16:33.5266121Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5266235Z warnings.warn( 2025-12-04T11:16:33.5266959Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:16:33.5267099Z warnings.warn( 2025-12-04T11:16:33.5267943Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-1ec33691c49647e6.xml - 2025-12-04T11:16:33.5268114Z =========================== short test summary info ============================ 2025-12-04T11:16:33.5269099Z FAILED [0.3746s] inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 - AssertionError: Scalars are not equal! 2025-12-04T11:16:33.5269105Z 2025-12-04T11:16:33.5269209Z Expected 1 but got 2. 2025-12-04T11:16:33.5269329Z Absolute difference: 1 2025-12-04T11:16:33.5269438Z Relative difference: 1.0 2025-12-04T11:16:33.5269443Z 2025-12-04T11:16:33.5269658Z To execute this test, run the following from the base repo dir: 2025-12-04T11:16:33.5270574Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_cuda_select_algorithm.py TestSelectAlgorithmCudaCUDA.test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5270582Z 2025-12-04T11:16:33.5270848Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:16:33.5271040Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:16:33.5271238Z ================== 1 failed, 10 deselected, 2 rerun in 20.01s ================== 2025-12-04T11:16:33.5271336Z Got exit code 1 2025-12-04T11:16:33.5272179Z FAILED CONSISTENTLY: test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16 2025-12-04T11:16:33.5272591Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:16:33.5273050Z W1204 11:16:30.293000 96170 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:16:33.5273711Z Test results will be stored in test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-6b038939c45035e8.xml 2025-12-04T11:16:33.5273876Z ============================= test session starts ============================== 2025-12-04T11:16:33.5274239Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:16:33.5274347Z cachedir: .pytest_cache 2025-12-04T11:16:33.5274873Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:16:33.5275009Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:16:33.5275119Z configfile: pytest.ini 2025-12-04T11:16:33.5275673Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:16:33.5275892Z collecting ... collected 58 items / 11 deselected / 47 selected 2025-12-04T11:16:33.5276036Z stepcurrent: skipping 11 already run items. 2025-12-04T11:16:33.5276162Z Running 0 items in this shard 2025-12-04T11:16:33.5276167Z 2025-12-04T11:16:33.5277007Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-6b038939c45035e8.xml - 2025-12-04T11:16:33.5277186Z ============================ 11 deselected in 0.02s ============================ 2025-12-04T11:16:33.5286016Z The following tests failed consistently: ['test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_concat_cuda_batch_size_32_mid_dim_8_in_features_128_out_features_64_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_17_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_1024_out_features_1024_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_128_out_features_64_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_1_in_features_144_out_features_64_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_128_out_features_1024_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_1_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_1_in_features_1024_out_features_64_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_1024_out_features_64_cuda_bfloat16', 'test/inductor/test_cuda_select_algorithm.py::TestSelectAlgorithmCudaCUDA::test_int8_woq_mm_cuda_batch_size_32_mid_dim_8_in_features_144_out_features_64_cuda_bfloat16'] 2025-12-04T11:16:33.5286194Z 2025-12-04T11:16:33.5286841Z FINISHED PRINTING LOG FILE of inductor/test_cuda_select_algorithm 2/5 (test/test-reports/inductor.test_cuda_select_algorithm_2.5_2c368413b6bbbfd2_.log) 2025-12-04T11:16:33.5286850Z 2025-12-04T11:16:33.5287263Z Finished inductor/test_cuda_select_algorithm 2/5 ... [2025-12-04 11:16:33.206772][6228.956312781], took 15.87min 2025-12-04T11:16:33.5288165Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-336f7cf1aba20322.xml 2025-12-04T11:16:33.5289078Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-b967beb25f0116ef.xml 2025-12-04T11:16:33.5290014Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-52a6048a1b3ff4be.xml 2025-12-04T11:16:33.5291103Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-5e563f1808ccb2a4.xml 2025-12-04T11:16:33.5292021Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-baa4e241d300876e.xml 2025-12-04T11:16:33.5292909Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-ff9ca122612ae2da.xml 2025-12-04T11:16:33.5293812Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-3249e5094fe85d98.xml 2025-12-04T11:16:33.5294697Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-9c4b189bd59723c6.xml 2025-12-04T11:16:33.5295670Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-723961ef6038fe24.xml 2025-12-04T11:16:33.5296571Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-c423dea92ce5c0b6.xml 2025-12-04T11:16:33.5573844Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-e39fd3ee26241093.xml 2025-12-04T11:16:33.5876103Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-293f409f08d0b75c.xml 2025-12-04T11:16:33.6183673Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-74191eb85f83ce31.xml 2025-12-04T11:16:33.6599526Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-70fb36dd03eba8b4.xml 2025-12-04T11:16:33.6983173Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-550099b2d612f353.xml 2025-12-04T11:16:33.7302513Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-540c8251b42251c5.xml 2025-12-04T11:16:33.7567297Z Parsing testcases for test report: 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/var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-1ec33691c49647e6.xml 2025-12-04T11:16:34.3498019Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_cuda_select_algorithm/inductor.test_cuda_select_algorithm-6b038939c45035e8.xml 2025-12-04T11:16:34.7081136Z Uploading logs for 57119749297 to S3 2025-12-04T11:16:34.7634653Z Uploading artifacts took 0.39 seconds 2025-12-04T11:16:34.7635121Z inductor/test_cuda_select_algorithm 2/5 failed! 2025-12-04T11:16:34.7639737Z Running inductor/test_compile_subprocess 2/3 ... [2025-12-04 11:16:34.763787][6230.513331009] 2025-12-04T11:16:34.7640337Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:16:34.7644644Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '--shard-id=2', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:16:34.764216] 2025-12-04T11:28:29.5835441Z 2025-12-04T11:28:29.5836481Z PRINTING LOG FILE of inductor/test_compile_subprocess 2/3 (test/test-reports/inductor.test_compile_subprocess_2.3_f87510253e70d3af_.log) 2025-12-04T11:28:29.5837984Z W1204 11:16:43.896000 96287 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.5839817Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-f69285379d14bdaf.xml 2025-12-04T11:28:29.5841290Z ============================= test session starts ============================== 2025-12-04T11:28:29.5842284Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.5843201Z cachedir: .pytest_cache 2025-12-04T11:28:29.5844277Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.5845392Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.5845901Z configfile: pytest.ini 2025-12-04T11:28:29.5846985Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.5848145Z collecting ... collected 879 items 2025-12-04T11:28:29.5848707Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T11:28:29.6011346Z Running 312 items in this shard: test/inductor/test_compile_subprocess.py::GPUTests::test_AllenaiLongformerBase_repro_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test__dyn_quant_pack_4bit_weight_bf16_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test__dyn_quant_pack_4bit_weight_fp32_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_abs_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_adaptive_avg_pool2d1_cuda, 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test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int32_float32_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int32_int16_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int64_float16_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int64_float64_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int64_int32_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int64_int64_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int8_int32_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int8_uint8_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_float16_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_float32_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_float64_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_int32_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_int64_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_int8_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_embedding_bag_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_embedding_sparse_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_exact_stride_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_exp2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_expand_as_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_expand_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_fallback_mutable_op_basic_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_fallback_mutable_op_list_tensor_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_fallback_mutable_op_no_mutated_tensors_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_fft_real_input_real_output_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_fill2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_flexible_layout_immutable_free_symbols_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_float_index_expression_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_float_repr_dynamic_shapes_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_fmod_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_fractional_max_pool2d3_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_fractional_max_pool2d5_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_full_boolean_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_full_like_sliced_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_full_truncation_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_functionalize_rng_wrappers_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_gather2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_gather3_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_generated_code_has_alignment_assert_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_graph_partition_misaligned_input_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_graph_partition_scalar_inputs_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_index_float_zero_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_index_propagation_nested_indirect_indexing_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_index_put1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_index_put2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_index_put4_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_index_put_as_masked_fill_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_index_put_deterministic_fallback_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_index_remainder_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_index_tensor_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_inductor_multiple_specializations_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_inductor_triton_bucketize_respects_masking_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_inf_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_inner_reduction_detection_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_inplace_where_pointwise_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_input_mutation5_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_int_input_dynamic_shapes_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_kwargs_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_large_block_sizes_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_large_broadcast_reduction_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_large_offset_pointwise_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_large_pointwise_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_like_rands3_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_linear1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_linspace1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_linspace2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_linspace4_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_list_clearing_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_invoke_subgraph_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_log_softmax_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_logaddexp_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_logcumsumexp_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_logsumexp_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_long_tensor_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_max_pool2d2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_max_pool2d5_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_max_pool2d7_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_max_pool2d_with_indices_backward3_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_min_max_reduction_nan_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_mix_device_index_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_move_arange_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_mul_softmax_symfloat_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_mutations_loop_fusion_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_nan_sort_stable_False_descending_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_nan_sort_stable_True_descending_True_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_needs_contiguous_strides_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_neg_index_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_neg_max_uint8_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_new_empty_strided_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_new_ones_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_no_mega_fusion_during_lowering_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_no_op_reduction_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_nonzero_unbacked_refinement_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_norm_constant_overflow_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pad_single_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_permute1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_chebyshev_polynomial_v_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_digamma_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_erfc_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_gammainc_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_hermite_polynomial_h_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_hermite_polynomial_he_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_i0_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_i0e_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_log1p_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_modified_bessel_i0_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_modified_bessel_i1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_modified_bessel_k1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_ndtr_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_scaled_modified_bessel_k0_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_shifted_chebyshev_polynomial_u_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_shifted_chebyshev_polynomial_w_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_sinc_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_xlog1py_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pointwise_zeta_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_pow1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_randint_int64_mod_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_randint_kernel_count_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_reduction_config_limit_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_reflection_pad2d_backward_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_reflection_pad2d_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_relu_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_remove_no_ops_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_repeat_as_strided_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_repeat_interleave_Tensor_decomp_int32_nd_1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_resize_as_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_reuse_buffers_with_aliasing_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_scaled_dot_product_efficient_attention_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_scatter2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_scatter5_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_scatter6_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_scatter_add1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_scatter_add2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_scatter_reduce1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_scatter_reduce2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_scheduler_vertical_fusion1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_sdpa_unaligned_mask_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_select_scatter_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_sgn_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_sgn_extremal_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_sign_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_single_elem_indirect_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_sizehint_issue1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_slice_mutation2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_slice_scatter3_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_slice_scatter_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_slice_scatter_dtype_consistency_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_softmax_backward_data_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_softmax_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_softmax_one_kernel_loop_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_split_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_split_cumprod_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_split_with_integer_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_split_with_list_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_stride_preservation_with_stride_modifying_fx_pass_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_sum1_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_sum_dtype_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_tan_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_tensor2_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_tensor_index_put_slice_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_tensor_index_slice_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_to_device_constant_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_to_device_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_to_memory_format_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_torch_device_split_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_triton_kernel_bool_param_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_triu_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_uint_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_unbind_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_unfold_zero_dimension_tensor_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_unspec_inputs_float64_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_unspec_inputs_int16_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_unspec_inputs_int64_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_unsqueeze_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_upsample_bicubic2d_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_upsample_bilinear2d_b_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_upsample_cat_conv_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_upsample_nearest1d_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_upsample_nearest3d_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_vdd_clamp_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_view_on_aliased_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_views4_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_views5_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_views6_cuda, test/inductor/test_compile_subprocess.py::GPUTests::test_zero_element_mutation_cuda 2025-12-04T11:28:29.6137491Z 2025-12-04T11:28:29.6138184Z inductor/test_compile_subprocess.py::GPUTests::test_AllenaiLongformerBase_repro_cuda <- test/inductor/test_torchinductor.py PASSED [19.6799s] [ 0%] 2025-12-04T11:28:29.6139988Z inductor/test_compile_subprocess.py::GPUTests::test__dyn_quant_pack_4bit_weight_bf16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0036s] (No _dyn_quant_pack_4bit_weight implementation on CUDA) [ 0%] 2025-12-04T11:28:29.6141911Z inductor/test_compile_subprocess.py::GPUTests::test__dyn_quant_pack_4bit_weight_fp32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (No _dyn_quant_pack_4bit_weight implementation on CUDA) [ 0%] 2025-12-04T11:28:29.6143434Z inductor/test_compile_subprocess.py::GPUTests::test_abs_cuda <- test/inductor/test_torchinductor.py PASSED [0.7426s] [ 1%] 2025-12-04T11:28:29.6144673Z inductor/test_compile_subprocess.py::GPUTests::test_adaptive_avg_pool2d1_cuda <- test/inductor/test_torchinductor.py PASSED [5.3436s] [ 1%] 2025-12-04T11:28:29.6145995Z inductor/test_compile_subprocess.py::GPUTests::test_adaptive_avg_pool2d2_cuda <- test/inductor/test_torchinductor.py PASSED [0.1339s] [ 1%] 2025-12-04T11:28:29.6147826Z inductor/test_compile_subprocess.py::GPUTests::test_adaptive_max_pool2d3_cuda <- test/inductor/test_torchinductor.py W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6149523Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6151021Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6152432Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6153800Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6155359Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6156870Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6158187Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6159593Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6161109Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6162635Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6164157Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6165560Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6167031Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6168536Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6170036Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6171583Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6173086Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6174576Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6176073Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6177597Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6179188Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6180925Z W1204 11:17:15.196000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.6182534Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6183620Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6185113Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6186526Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6187888Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6189430Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6190932Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6192258Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6193639Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6195220Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6196725Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6198168Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6199553Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6201047Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6202503Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6203964Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6205579Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6207075Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6208565Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6210053Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6211662Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6213249Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6214982Z W1204 11:17:15.717000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.6216188Z PASSED [4.2816s] [ 2%] 2025-12-04T11:28:29.6217005Z inductor/test_compile_subprocess.py::GPUTests::test_adaptive_pool_errors_with_long_cuda <- test/inductor/test_torchinductor.py PASSED [0.6886s] [ 2%] 2025-12-04T11:28:29.6218339Z inductor/test_compile_subprocess.py::GPUTests::test_add_complex10_cuda <- test/inductor/test_torchinductor.py PASSED [0.6815s] [ 2%] 2025-12-04T11:28:29.6219582Z inductor/test_compile_subprocess.py::GPUTests::test_add_complex5_cuda <- test/inductor/test_torchinductor.py PASSED [0.6386s] [ 3%] 2025-12-04T11:28:29.6220815Z inductor/test_compile_subprocess.py::GPUTests::test_add_complex9_cuda <- test/inductor/test_torchinductor.py PASSED [0.6127s] [ 3%] 2025-12-04T11:28:29.6222036Z inductor/test_compile_subprocess.py::GPUTests::test_add_const_int_cuda <- test/inductor/test_torchinductor.py PASSED [1.4589s] [ 3%] 2025-12-04T11:28:29.6223307Z inductor/test_compile_subprocess.py::GPUTests::test_add_inplace_permuted_cuda <- test/inductor/test_torchinductor.py PASSED [1.0425s] [ 4%] 2025-12-04T11:28:29.6224624Z inductor/test_compile_subprocess.py::GPUTests::test_adding_tensor_offsets_cuda <- test/inductor/test_torchinductor.py PASSED [0.5396s] [ 4%] 2025-12-04T11:28:29.6226669Z inductor/test_compile_subprocess.py::GPUTests::test_alexnet_prefix_cuda <- test/inductor/test_torchinductor.py W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6228328Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6229871Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6231271Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6232682Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6234241Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6235730Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6237057Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6238442Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6239970Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6241486Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6242885Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6244273Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6245736Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6247192Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6248642Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6250101Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6251671Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6253160Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6254671Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6256247Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6257823Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6259553Z W1204 11:17:23.769000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.6261143Z W1204 11:17:23.786000 96287 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.6262249Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6263369Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6264861Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6266258Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6267617Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6269290Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6270806Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6272141Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6273525Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6275050Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6276557Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6277971Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6279387Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6280902Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6282346Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6283808Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6285264Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6286845Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6288329Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6289821Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6291450Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6293030Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6294815Z W1204 11:17:24.544000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.6296029Z PASSED [3.4105s] [ 4%] 2025-12-04T11:28:29.6297262Z inductor/test_compile_subprocess.py::GPUTests::test_aliased_buffer_reuse_cuda <- test/inductor/test_torchinductor.py W1204 11:17:25.514000 96472 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.6298558Z PASSED [0.5634s] [ 5%] 2025-12-04T11:28:29.6299384Z inductor/test_compile_subprocess.py::GPUTests::test_allow_reuse_active_if_under_peak_cuda <- test/inductor/test_torchinductor.py PASSED [2.0933s] [ 5%] 2025-12-04T11:28:29.6300810Z inductor/test_compile_subprocess.py::GPUTests::test_allow_reuse_disable_if_exceed_peak_cuda <- test/inductor/test_torchinductor.py PASSED [0.8028s] [ 5%] 2025-12-04T11:28:29.6302094Z inductor/test_compile_subprocess.py::GPUTests::test_any_cuda <- test/inductor/test_torchinductor.py PASSED [1.8032s] [ 6%] 2025-12-04T11:28:29.6303425Z inductor/test_compile_subprocess.py::GPUTests::test_aoti_eager_support_str_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0037s] (Requires sm80) [ 6%] 2025-12-04T11:28:29.6305107Z inductor/test_compile_subprocess.py::GPUTests::test_aoti_eager_with_persistent_cache_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0035s] (Requires sm80) [ 6%] 2025-12-04T11:28:29.6306658Z inductor/test_compile_subprocess.py::GPUTests::test_aoti_eager_with_scalar_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0034s] (Requires sm80) [ 7%] 2025-12-04T11:28:29.6308490Z inductor/test_compile_subprocess.py::GPUTests::test_arange1_cuda <- test/inductor/test_torchinductor.py W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6310116Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6311617Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6313029Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6314395Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6315939Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6317450Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6318884Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6320267Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6321800Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6323359Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6324813Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6326202Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6327665Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6329112Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6330577Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6332124Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6333618Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6335106Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6336600Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6338130Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6339706Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6341376Z W1204 11:17:30.506000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.6342849Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6343944Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6345432Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6346837Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6348195Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6349804Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6351311Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6352641Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6354055Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6355613Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6357121Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6358531Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6359916Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6361383Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6362839Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6364288Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6365747Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6367454Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6369001Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6370495Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6372107Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6373692Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6375294Z W1204 11:17:30.780000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.6376375Z PASSED [0.5446s] [ 7%] 2025-12-04T11:28:29.6377583Z inductor/test_compile_subprocess.py::GPUTests::test_arange3_cuda <- test/inductor/test_torchinductor.py W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6379211Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6380782Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6382191Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6383540Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6385131Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6386635Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6388015Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6389394Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6390908Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6392429Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6393845Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6395235Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6396692Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6398138Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6399597Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6401054Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6402547Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6404023Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6405664Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6407195Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6408774Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6410473Z W1204 11:17:31.030000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.6412052Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6413159Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6414645Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6416108Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6417470Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6419126Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6420630Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6421956Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6423338Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6424850Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6426378Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6427806Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6429190Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6430659Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6432113Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6433580Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6435052Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6436547Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6438039Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6439530Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6441124Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6442710Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6444304Z W1204 11:17:31.211000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.6445398Z PASSED [0.3666s] [ 7%] 2025-12-04T11:28:29.6446621Z inductor/test_compile_subprocess.py::GPUTests::test_arange6_cuda <- test/inductor/test_torchinductor.py W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6448278Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6449780Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6451247Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6452597Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6454152Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6455653Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6456993Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6458362Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6459890Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6461410Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6462820Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6464210Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6465664Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6467129Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6468596Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6470066Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6471561Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6473097Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6474607Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6476129Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6477736Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6479362Z W1204 11:17:31.394000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.6480829Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6481928Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6483416Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6484826Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6486174Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6487728Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6489230Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6490557Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6492015Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6493530Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6495052Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6496470Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6497866Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6499320Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6500784Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6502249Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6503772Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6505397Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6506882Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6508466Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6510033Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6511618Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6513214Z W1204 11:17:31.566000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.6514680Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6515782Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6517270Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6518677Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6520026Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6521576Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6523081Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6524409Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6525798Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6527308Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6528818Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6530228Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6531673Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6533142Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6534669Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6536130Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6537628Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6539121Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6540624Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6542135Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6543656Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6545240Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6546830Z W1204 11:17:31.735000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.6547899Z PASSED [0.5754s] [ 8%] 2025-12-04T11:28:29.6548657Z inductor/test_compile_subprocess.py::GPUTests::test_argmax_argmin1_cuda <- test/inductor/test_torchinductor.py PASSED [0.8012s] [ 8%] 2025-12-04T11:28:29.6549920Z inductor/test_compile_subprocess.py::GPUTests::test_argmax_argmin3_cuda <- test/inductor/test_torchinductor.py PASSED [1.6694s] [ 8%] 2025-12-04T11:28:29.6551177Z inductor/test_compile_subprocess.py::GPUTests::test_argmax_min_int32_cuda <- test/inductor/test_torchinductor.py PASSED [0.3199s] [ 8%] 2025-12-04T11:28:29.6552404Z inductor/test_compile_subprocess.py::GPUTests::test_as_strided_cuda <- test/inductor/test_torchinductor.py PASSED [1.2770s] [ 9%] 2025-12-04T11:28:29.6553658Z inductor/test_compile_subprocess.py::GPUTests::test_as_strided_scatter_cuda <- test/inductor/test_torchinductor.py PASSED [0.6849s] [ 9%] 2025-12-04T11:28:29.6555007Z inductor/test_compile_subprocess.py::GPUTests::test_assert_size_stride_op_name_pass_cuda <- test/inductor/test_torchinductor.py PASSED [0.0034s] [ 9%] 2025-12-04T11:28:29.6556324Z inductor/test_compile_subprocess.py::GPUTests::test_avg_pool2d5_cuda <- test/inductor/test_torchinductor.py PASSED [1.2902s] [ 10%] 2025-12-04T11:28:29.6557583Z inductor/test_compile_subprocess.py::GPUTests::test_avg_pool2d_backward4_cuda <- test/inductor/test_torchinductor.py PASSED [0.1455s] [ 10%] 2025-12-04T11:28:29.6558901Z inductor/test_compile_subprocess.py::GPUTests::test_avg_pool3d_backward3_cuda <- test/inductor/test_torchinductor.py PASSED [2.8717s] [ 10%] 2025-12-04T11:28:29.6560203Z inductor/test_compile_subprocess.py::GPUTests::test_avg_pool3d_backward_cuda <- test/inductor/test_torchinductor.py PASSED [2.4538s] [ 11%] 2025-12-04T11:28:29.6562116Z inductor/test_compile_subprocess.py::GPUTests::test_avg_pool_errors_with_uint_cuda <- test/inductor/test_torchinductor.py E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] failed while attempting to run meta for aten.avg_pool2d.default 2025-12-04T11:28:29.6563918Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6565461Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6566926Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] r = func(*args, **kwargs) 2025-12-04T11:28:29.6568245Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6569617Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6571159Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 2803, in meta_avg_pool2d 2025-12-04T11:28:29.6572584Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] torch._check( 2025-12-04T11:28:29.6573869Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6575437Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6577029Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6578413Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] raise error_type(message_evaluated) 2025-12-04T11:28:29.6579620Z E1204 11:17:43.453000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/0] RuntimeError: "avg_pool2d" not implemented for 'torch.uint8' 2025-12-04T11:28:29.6580936Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] failed while attempting to run meta for aten.avg_pool2d.default 2025-12-04T11:28:29.6582129Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] Traceback (most recent call last): 2025-12-04T11:28:29.6583607Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6585068Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] r = func(*args, **kwargs) 2025-12-04T11:28:29.6586385Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6587733Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6589199Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 2803, in meta_avg_pool2d 2025-12-04T11:28:29.6590561Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] torch._check( 2025-12-04T11:28:29.6591828Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6593377Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6595016Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6596410Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] raise error_type(message_evaluated) 2025-12-04T11:28:29.6597596Z E1204 11:17:43.467000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/1] RuntimeError: "avg_pool2d" not implemented for 'torch.uint16' 2025-12-04T11:28:29.6598906Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] failed while attempting to run meta for aten.avg_pool2d.default 2025-12-04T11:28:29.6600129Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] Traceback (most recent call last): 2025-12-04T11:28:29.6601615Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6603088Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] r = func(*args, **kwargs) 2025-12-04T11:28:29.6604396Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6605888Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6607355Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 2803, in meta_avg_pool2d 2025-12-04T11:28:29.6608739Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] torch._check( 2025-12-04T11:28:29.6610000Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6611631Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6613210Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6614605Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] raise error_type(message_evaluated) 2025-12-04T11:28:29.6615788Z E1204 11:17:43.480000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/2] RuntimeError: "avg_pool2d" not implemented for 'torch.uint32' 2025-12-04T11:28:29.6617100Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] failed while attempting to run meta for aten.avg_pool2d.default 2025-12-04T11:28:29.6618408Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] Traceback (most recent call last): 2025-12-04T11:28:29.6619904Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6621358Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] r = func(*args, **kwargs) 2025-12-04T11:28:29.6622663Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6623999Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6625589Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 2803, in meta_avg_pool2d 2025-12-04T11:28:29.6626972Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] torch._check( 2025-12-04T11:28:29.6628231Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6629798Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6631431Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6632863Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] raise error_type(message_evaluated) 2025-12-04T11:28:29.6634069Z E1204 11:17:43.493000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/3] RuntimeError: "avg_pool2d" not implemented for 'torch.uint64' 2025-12-04T11:28:29.6635370Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] failed while attempting to run meta for aten.avg_pool2d.default 2025-12-04T11:28:29.6636559Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] Traceback (most recent call last): 2025-12-04T11:28:29.6638052Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6639502Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] r = func(*args, **kwargs) 2025-12-04T11:28:29.6640803Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6642142Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6643604Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 2803, in meta_avg_pool2d 2025-12-04T11:28:29.6644978Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] torch._check( 2025-12-04T11:28:29.6646237Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6647789Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6649372Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6650766Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] raise error_type(message_evaluated) 2025-12-04T11:28:29.6652041Z E1204 11:17:43.530000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/4] RuntimeError: "avg_pool2d" not implemented for 'torch.uint8' 2025-12-04T11:28:29.6653343Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] failed while attempting to run meta for aten.avg_pool2d.default 2025-12-04T11:28:29.6654535Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] Traceback (most recent call last): 2025-12-04T11:28:29.6656091Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6657546Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] r = func(*args, **kwargs) 2025-12-04T11:28:29.6658858Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6660211Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6661675Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 2803, in meta_avg_pool2d 2025-12-04T11:28:29.6663084Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] torch._check( 2025-12-04T11:28:29.6664358Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6665894Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6667464Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6668855Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] raise error_type(message_evaluated) 2025-12-04T11:28:29.6670055Z E1204 11:17:43.547000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/5] RuntimeError: "avg_pool2d" not implemented for 'torch.uint16' 2025-12-04T11:28:29.6671373Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] failed while attempting to run meta for aten.avg_pool2d.default 2025-12-04T11:28:29.6672547Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] Traceback (most recent call last): 2025-12-04T11:28:29.6674035Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6675488Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] r = func(*args, **kwargs) 2025-12-04T11:28:29.6676794Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6678123Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6679594Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 2803, in meta_avg_pool2d 2025-12-04T11:28:29.6680970Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] torch._check( 2025-12-04T11:28:29.6682234Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6683783Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6685353Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6686805Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] raise error_type(message_evaluated) 2025-12-04T11:28:29.6688005Z E1204 11:17:43.564000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/6] RuntimeError: "avg_pool2d" not implemented for 'torch.uint32' 2025-12-04T11:28:29.6689323Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] failed while attempting to run meta for aten.avg_pool2d.default 2025-12-04T11:28:29.6690534Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] Traceback (most recent call last): 2025-12-04T11:28:29.6692119Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6693620Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] r = func(*args, **kwargs) 2025-12-04T11:28:29.6694938Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6696278Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6697738Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 2803, in meta_avg_pool2d 2025-12-04T11:28:29.6699125Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] torch._check( 2025-12-04T11:28:29.6700401Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6701962Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6703580Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6705214Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] raise error_type(message_evaluated) 2025-12-04T11:28:29.6706422Z E1204 11:17:43.582000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/7] RuntimeError: "avg_pool2d" not implemented for 'torch.uint64' 2025-12-04T11:28:29.6707737Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] failed while attempting to run meta for aten.avg_pool3d.default 2025-12-04T11:28:29.6708931Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] Traceback (most recent call last): 2025-12-04T11:28:29.6710413Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6711872Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] r = func(*args, **kwargs) 2025-12-04T11:28:29.6713190Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6714534Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6715934Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/wrappers.py", line 315, in _fn 2025-12-04T11:28:29.6717446Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] result = fn(*args, **kwargs) 2025-12-04T11:28:29.6718896Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 3001, in meta_avg_pool3d 2025-12-04T11:28:29.6720275Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] torch._check( 2025-12-04T11:28:29.6721592Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6723133Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6724755Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6726146Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] raise error_type(message_evaluated) 2025-12-04T11:28:29.6727345Z E1204 11:17:43.615000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/8] RuntimeError: "avg_pool3d" not implemented for 'torch.uint8' 2025-12-04T11:28:29.6728638Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] failed while attempting to run meta for aten.avg_pool3d.default 2025-12-04T11:28:29.6729834Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] Traceback (most recent call last): 2025-12-04T11:28:29.6731377Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6732840Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] r = func(*args, **kwargs) 2025-12-04T11:28:29.6734155Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6735485Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6736904Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/wrappers.py", line 315, in _fn 2025-12-04T11:28:29.6738300Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] result = fn(*args, **kwargs) 2025-12-04T11:28:29.6739754Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 3001, in meta_avg_pool3d 2025-12-04T11:28:29.6741118Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] torch._check( 2025-12-04T11:28:29.6742387Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6743939Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6745523Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6746914Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] raise error_type(message_evaluated) 2025-12-04T11:28:29.6748179Z E1204 11:17:43.634000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/9] RuntimeError: "avg_pool3d" not implemented for 'torch.uint16' 2025-12-04T11:28:29.6749502Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] failed while attempting to run meta for aten.avg_pool3d.default 2025-12-04T11:28:29.6750698Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] Traceback (most recent call last): 2025-12-04T11:28:29.6752231Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6753690Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] r = func(*args, **kwargs) 2025-12-04T11:28:29.6755050Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6756398Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6757826Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/wrappers.py", line 315, in _fn 2025-12-04T11:28:29.6759231Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] result = fn(*args, **kwargs) 2025-12-04T11:28:29.6760678Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 3001, in meta_avg_pool3d 2025-12-04T11:28:29.6762069Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] torch._check( 2025-12-04T11:28:29.6763354Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6764920Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6766504Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6767906Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] raise error_type(message_evaluated) 2025-12-04T11:28:29.6769112Z E1204 11:17:43.652000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/10] RuntimeError: "avg_pool3d" not implemented for 'torch.uint32' 2025-12-04T11:28:29.6770437Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] failed while attempting to run meta for aten.avg_pool3d.default 2025-12-04T11:28:29.6771710Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] Traceback (most recent call last): 2025-12-04T11:28:29.6773196Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/fake_tensor.py", line 2823, in _dispatch_impl 2025-12-04T11:28:29.6774663Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] r = func(*args, **kwargs) 2025-12-04T11:28:29.6776086Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 836, in __call__ 2025-12-04T11:28:29.6777433Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] return self._op(*args, **kwargs) 2025-12-04T11:28:29.6778922Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/wrappers.py", line 315, in _fn 2025-12-04T11:28:29.6780334Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] result = fn(*args, **kwargs) 2025-12-04T11:28:29.6781795Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_meta_registrations.py", line 3001, in meta_avg_pool3d 2025-12-04T11:28:29.6783217Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] torch._check( 2025-12-04T11:28:29.6784507Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1734, in _check 2025-12-04T11:28:29.6786095Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] _check_with(RuntimeError, cond, message) # pyrefly: ignore [bad-argument-type] 2025-12-04T11:28:29.6787691Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1716, in _check_with 2025-12-04T11:28:29.6789087Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] raise error_type(message_evaluated) 2025-12-04T11:28:29.6790299Z E1204 11:17:43.670000 96287 site-packages/torch/_subclasses/fake_tensor.py:2827] [0/11] RuntimeError: "avg_pool3d" not implemented for 'torch.uint64' 2025-12-04T11:28:29.6791119Z PASSED [0.2358s] [ 11%] 2025-12-04T11:28:29.6791870Z inductor/test_compile_subprocess.py::GPUTests::test_batch_norm_2d_cuda <- test/inductor/test_torchinductor.py PASSED [1.4413s] [ 11%] 2025-12-04T11:28:29.6793109Z inductor/test_compile_subprocess.py::GPUTests::test_bernoulli1_cuda <- test/inductor/test_torchinductor.py PASSED [8.3799s] [ 12%] 2025-12-04T11:28:29.6794558Z inductor/test_compile_subprocess.py::GPUTests::test_bfloat16_to_int16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0034s] (uses bfloat16 which requires SM >= 80) [ 12%] 2025-12-04T11:28:29.6795977Z inductor/test_compile_subprocess.py::GPUTests::test_bitwise3_cuda <- test/inductor/test_torchinductor.py PASSED [0.3672s] [ 12%] 2025-12-04T11:28:29.6797161Z inductor/test_compile_subprocess.py::GPUTests::test_bool_cuda <- test/inductor/test_torchinductor.py PASSED [0.4568s] [ 13%] 2025-12-04T11:28:29.6798368Z inductor/test_compile_subprocess.py::GPUTests::test_both_scalars_cuda <- test/inductor/test_torchinductor.py PASSED [0.8247s] [ 13%] 2025-12-04T11:28:29.6799683Z inductor/test_compile_subprocess.py::GPUTests::test_bucketize_computed_offsets_cuda <- test/inductor/test_torchinductor.py PASSED [0.4835s] [ 13%] 2025-12-04T11:28:29.6801056Z inductor/test_compile_subprocess.py::GPUTests::test_bucketize_int_int16_int16_cuda <- test/inductor/test_torchinductor.py PASSED [1.4946s] [ 14%] 2025-12-04T11:28:29.6802403Z inductor/test_compile_subprocess.py::GPUTests::test_bucketize_int_int16_int32_cuda <- test/inductor/test_torchinductor.py PASSED [1.5002s] [ 14%] 2025-12-04T11:28:29.6803753Z inductor/test_compile_subprocess.py::GPUTests::test_bucketize_int_int16_int8_cuda <- test/inductor/test_torchinductor.py PASSED [1.5115s] [ 14%] 2025-12-04T11:28:29.6805275Z inductor/test_compile_subprocess.py::GPUTests::test_bucketize_int_int16_uint8_cuda <- test/inductor/test_torchinductor.py PASSED [1.5071s] [ 15%] 2025-12-04T11:28:29.6806636Z inductor/test_compile_subprocess.py::GPUTests::test_bucketize_int_int32_int32_cuda <- test/inductor/test_torchinductor.py PASSED [1.4836s] [ 15%] 2025-12-04T11:28:29.6807974Z inductor/test_compile_subprocess.py::GPUTests::test_bucketize_int_int32_int64_cuda <- test/inductor/test_torchinductor.py PASSED [1.4914s] [ 15%] 2025-12-04T11:28:29.6809428Z inductor/test_compile_subprocess.py::GPUTests::test_bucketize_int_int32_int8_cuda <- test/inductor/test_torchinductor.py PASSED [1.5024s] [ 16%] 2025-12-04T11:28:29.6810779Z inductor/test_compile_subprocess.py::GPUTests::test_bucketize_nd_tiling_True_cuda <- test/inductor/test_torchinductor.py PASSED [0.5821s] [ 16%] 2025-12-04T11:28:29.6812152Z inductor/test_compile_subprocess.py::GPUTests::test_cat_empty_cuda <- test/inductor/test_torchinductor.py PASSED [1.4534s] [ 16%] 2025-12-04T11:28:29.6813380Z inductor/test_compile_subprocess.py::GPUTests::test_cat_negative_dim_cuda <- test/inductor/test_torchinductor.py PASSED [1.1791s] [ 16%] 2025-12-04T11:28:29.6814748Z inductor/test_compile_subprocess.py::GPUTests::test_cat_unbacked_legacy_empty_cuda <- test/inductor/test_torchinductor.py PASSED [0.0345s] [ 17%] 2025-12-04T11:28:29.6816009Z inductor/test_compile_subprocess.py::GPUTests::test_clone_cuda <- test/inductor/test_torchinductor.py PASSED [0.5597s] [ 17%] 2025-12-04T11:28:29.6817232Z inductor/test_compile_subprocess.py::GPUTests::test_compar_cuda <- test/inductor/test_torchinductor.py PASSED [0.3369s] [ 17%] 2025-12-04T11:28:29.6819099Z inductor/test_compile_subprocess.py::GPUTests::test_complex_from_real_imag_cuda <- test/inductor/test_torchinductor.py [W1204 11:18:10.197590645 EmptyTensor.cpp:57] Warning: ComplexHalf support is experimental and many operators don't support it yet. (function operator()) 2025-12-04T11:28:29.6820566Z PASSED [0.2793s] [ 18%] 2025-12-04T11:28:29.6821334Z inductor/test_compile_subprocess.py::GPUTests::test_concat_add_inplace_cuda <- test/inductor/test_torchinductor.py PASSED [0.7238s] [ 18%] 2025-12-04T11:28:29.6822617Z inductor/test_compile_subprocess.py::GPUTests::test_constant_pad_2d_cuda <- test/inductor/test_torchinductor.py PASSED [0.6624s] [ 18%] 2025-12-04T11:28:29.6823978Z inductor/test_compile_subprocess.py::GPUTests::test_constant_pad_2d_strides_nonpositive_cuda <- test/inductor/test_torchinductor.py PASSED [0.4071s] [ 19%] 2025-12-04T11:28:29.6825374Z inductor/test_compile_subprocess.py::GPUTests::test_constant_pad_fill_dtype_cuda <- test/inductor/test_torchinductor.py PASSED [0.3257s] [ 19%] 2025-12-04T11:28:29.6827205Z inductor/test_compile_subprocess.py::GPUTests::test_conv1d_depthwise_cuda <- test/inductor/test_torchinductor.py W1204 11:18:12.809000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6828880Z W1204 11:18:12.809000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6830385Z W1204 11:18:12.809000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6831784Z W1204 11:18:12.809000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6833162Z W1204 11:18:12.809000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6834726Z W1204 11:18:12.809000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6836236Z W1204 11:18:12.809000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6837574Z W1204 11:18:12.809000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6838876Z W1204 11:18:12.809000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] AttributeError: Can't pickle local object 'CommonTemplate.test_conv1d_depthwise..ConvModel' 2025-12-04T11:28:29.6840389Z PASSED [0.2717s] [ 19%] 2025-12-04T11:28:29.6841732Z inductor/test_compile_subprocess.py::GPUTests::test_conv1d_with_permute_cuda <- test/inductor/test_torchinductor.py W1204 11:18:13.089000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6843487Z W1204 11:18:13.089000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6844968Z W1204 11:18:13.089000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6846413Z W1204 11:18:13.089000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6847773Z W1204 11:18:13.089000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6849375Z W1204 11:18:13.089000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6850882Z W1204 11:18:13.089000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6852282Z W1204 11:18:13.089000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6853607Z W1204 11:18:13.089000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] AttributeError: Can't pickle local object 'CommonTemplate.test_conv1d_with_permute..ConvModel' 2025-12-04T11:28:29.6854628Z PASSED [0.3228s] [ 20%] 2025-12-04T11:28:29.6855453Z inductor/test_compile_subprocess.py::GPUTests::test_conv2d_backward_channels_last_cuda <- test/inductor/test_torchinductor.py PASSED [0.5476s] [ 20%] 2025-12-04T11:28:29.6857003Z inductor/test_compile_subprocess.py::GPUTests::test_conv2d_channels_last_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0035s] (only support cpu conv2d channels_last) [ 20%] 2025-12-04T11:28:29.6858797Z inductor/test_compile_subprocess.py::GPUTests::test_conv3d_channels_last_use_block_ptr_False_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (only support cpu conv3d channels_last) [ 21%] 2025-12-04T11:28:29.6860323Z inductor/test_compile_subprocess.py::GPUTests::test_conv3d_cuda <- test/inductor/test_torchinductor.py PASSED [0.6583s] [ 21%] 2025-12-04T11:28:29.6861603Z inductor/test_compile_subprocess.py::GPUTests::test_conv_inference_heuristics_cuda <- test/inductor/test_torchinductor.py PASSED [0.7336s] [ 21%] 2025-12-04T11:28:29.6863437Z inductor/test_compile_subprocess.py::GPUTests::test_conv_with_as_strided_cuda <- test/inductor/test_torchinductor.py W1204 11:18:15.444000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6865104Z W1204 11:18:15.444000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6866605Z W1204 11:18:15.444000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6868008Z W1204 11:18:15.444000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6869481Z W1204 11:18:15.444000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6871040Z W1204 11:18:15.444000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6872536Z W1204 11:18:15.444000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6873937Z W1204 11:18:15.444000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6875247Z W1204 11:18:15.444000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] AttributeError: Can't pickle local object 'CommonTemplate.test_conv_with_as_strided..Model' 2025-12-04T11:28:29.6876651Z W1204 11:18:16.048000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6877774Z W1204 11:18:16.048000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6879264Z W1204 11:18:16.048000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6880705Z W1204 11:18:16.048000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6882068Z W1204 11:18:16.048000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6883712Z W1204 11:18:16.048000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6885211Z W1204 11:18:16.048000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6886550Z W1204 11:18:16.048000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6887855Z W1204 11:18:16.048000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] AttributeError: Can't pickle local object 'CommonTemplate.test_conv_with_as_strided..Model' 2025-12-04T11:28:29.6888865Z PASSED [1.2043s] [ 22%] 2025-12-04T11:28:29.6889605Z inductor/test_compile_subprocess.py::GPUTests::test_convolution1_cuda <- test/inductor/test_torchinductor.py PASSED [0.8225s] [ 22%] 2025-12-04T11:28:29.6891382Z inductor/test_compile_subprocess.py::GPUTests::test_cpu_scalar_with_gpu_tensor_cuda <- test/inductor/test_torchinductor.py W1204 11:18:17.383000 96472 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T11:28:29.6892625Z PASSED [0.2051s] [ 22%] 2025-12-04T11:28:29.6893422Z inductor/test_compile_subprocess.py::GPUTests::test_cpu_tensor_with_cpu_tensor_cuda <- test/inductor/test_torchinductor.py PASSED [0.7441s] [ 23%] 2025-12-04T11:28:29.6894774Z inductor/test_compile_subprocess.py::GPUTests::test_cpu_tensor_with_gpu_tensor_cuda <- test/inductor/test_torchinductor.py PASSED [0.3009s] [ 23%] 2025-12-04T11:28:29.6896053Z inductor/test_compile_subprocess.py::GPUTests::test_cummin_cuda <- test/inductor/test_torchinductor.py PASSED [1.8025s] [ 23%] 2025-12-04T11:28:29.6897363Z inductor/test_compile_subprocess.py::GPUTests::test_cumprod_zero_dim_cuda <- test/inductor/test_torchinductor.py PASSED [0.3733s] [ 24%] 2025-12-04T11:28:29.6898590Z inductor/test_compile_subprocess.py::GPUTests::test_cumsum_cuda <- test/inductor/test_torchinductor.py PASSED [3.5185s] [ 24%] 2025-12-04T11:28:29.6899870Z inductor/test_compile_subprocess.py::GPUTests::test_cumsum_pattern_matcher_issue_cuda <- test/inductor/test_torchinductor.py PASSED [0.4400s] [ 24%] 2025-12-04T11:28:29.6901803Z inductor/test_compile_subprocess.py::GPUTests::test_custom_op_fixed_layout_channels_last_cuda <- test/inductor/test_torchinductor.py W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6903564Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6905317Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6906733Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6908080Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6909743Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6911251Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6912631Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6914000Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6915528Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6917044Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6918450Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6919843Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6921288Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6922752Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6924221Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6925686Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6927185Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6928665Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6930168Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6931775Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6933357Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6935069Z W1204 11:18:24.797000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.inductor_seeds.default 2025-12-04T11:28:29.6936178Z PASSED [0.7461s] [ 25%] 2025-12-04T11:28:29.6937488Z inductor/test_compile_subprocess.py::GPUTests::test_custom_op_unbacked_symints_cuda <- test/inductor/test_torchinductor.py W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6939200Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6940724Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6942148Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6943517Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6945064Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6946574Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6947914Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6949286Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6950825Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.6952343Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.6953759Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.6955137Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.6956606Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.6958077Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.6959546Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.6961008Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.6962489Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.6963978Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.6965486Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.6967077Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.6968660Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.6970320Z W1204 11:18:25.660000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.test_unbacked_symints.foo.default 2025-12-04T11:28:29.6971606Z PASSED [0.3719s] [ 25%] 2025-12-04T11:28:29.6972357Z inductor/test_compile_subprocess.py::GPUTests::test_custom_scan_op_cuda <- test/inductor/test_torchinductor.py PASSED [0.2255s] [ 25%] 2025-12-04T11:28:29.6973701Z inductor/test_compile_subprocess.py::GPUTests::test_custom_scan_would_split_cuda <- test/inductor/test_torchinductor.py PASSED [0.4770s] [ 25%] 2025-12-04T11:28:29.6975039Z inductor/test_compile_subprocess.py::GPUTests::test_deterministic_codegen_cuda <- test/inductor/test_torchinductor.py PASSED [4.0546s] [ 26%] 2025-12-04T11:28:29.6976458Z inductor/test_compile_subprocess.py::GPUTests::test_deterministic_codegen_on_graph_break_cuda <- test/inductor/test_torchinductor.py PASSED [0.8622s] [ 26%] 2025-12-04T11:28:29.6977778Z inductor/test_compile_subprocess.py::GPUTests::test_div2_cuda <- test/inductor/test_torchinductor.py PASSED [0.6981s] [ 26%] 2025-12-04T11:28:29.6978940Z inductor/test_compile_subprocess.py::GPUTests::test_div4_cuda <- test/inductor/test_torchinductor.py PASSED [0.3884s] [ 27%] 2025-12-04T11:28:29.6980076Z inductor/test_compile_subprocess.py::GPUTests::test_div6_cuda <- test/inductor/test_torchinductor.py PASSED [0.3865s] [ 27%] 2025-12-04T11:28:29.6981228Z inductor/test_compile_subprocess.py::GPUTests::test_div7_cuda <- test/inductor/test_torchinductor.py PASSED [0.4746s] [ 27%] 2025-12-04T11:28:29.6982386Z inductor/test_compile_subprocess.py::GPUTests::test_div9_cuda <- test/inductor/test_torchinductor.py PASSED [0.4304s] [ 28%] 2025-12-04T11:28:29.6983566Z inductor/test_compile_subprocess.py::GPUTests::test_div_by_zero_cuda <- test/inductor/test_torchinductor.py PASSED [0.6640s] [ 28%] 2025-12-04T11:28:29.6985288Z inductor/test_compile_subprocess.py::GPUTests::test_div_precision_cuda <- test/inductor/test_torchinductor.py W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.6986941Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.6988434Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.6989840Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.6991198Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.6993288Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.6994802Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.6996132Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.6997593Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.6999123Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7000632Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7002079Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7003469Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7005116Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7006578Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7008043Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7009513Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7011112Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7012616Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7014118Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7015654Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7017235Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7018921Z W1204 11:18:34.889000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.7020479Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7021573Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7023059Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7024463Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7025826Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7027364Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7028971Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7030307Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7031693Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7033260Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7034769Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7036218Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7037611Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7039075Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7040541Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7041991Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7043448Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7044947Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7046426Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7047919Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7049434Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7051063Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7052758Z W1204 11:18:35.723000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.7053916Z PASSED [1.6333s] [ 28%] 2025-12-04T11:28:29.7054645Z inductor/test_compile_subprocess.py::GPUTests::test_div_zero_dim_cuda <- test/inductor/test_torchinductor.py PASSED [1.9197s] [ 29%] 2025-12-04T11:28:29.7056036Z inductor/test_compile_subprocess.py::GPUTests::test_dont_constant_fold_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0035s] (triton not supported) [ 29%] 2025-12-04T11:28:29.7057914Z inductor/test_compile_subprocess.py::GPUTests::test_dropout2_cuda <- test/inductor/test_torchinductor.py W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7059559Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7061119Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7062532Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7063902Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7065518Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7067064Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7068387Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7069776Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7071304Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7072825Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7074242Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7075925Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7077537Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7079070Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7108106Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7109852Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7111370Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7112850Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7114344Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7115863Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7117424Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7119202Z W1204 11:18:38.523000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.inductor_seeds.default 2025-12-04T11:28:29.7120862Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7121954Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7123503Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7124877Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7126288Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7127829Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7129319Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7131834Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7133195Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7134711Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7136217Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7137616Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7138982Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7140437Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7141893Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7143349Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7144791Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7146255Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7147729Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7149216Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7150803Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7152371Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7154024Z W1204 11:18:39.104000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.7155207Z PASSED [1.2279s] [ 29%] 2025-12-04T11:28:29.7156429Z inductor/test_compile_subprocess.py::GPUTests::test_dropout3_cuda <- test/inductor/test_torchinductor.py W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7158094Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7159566Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7160959Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7162310Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7163850Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7165346Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7166657Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7168029Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7169540Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7171137Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7172551Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7173928Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7175384Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7176835Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7178296Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7179734Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7181284Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7182760Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7184250Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7185785Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7187337Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7189008Z W1204 11:18:39.450000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.inductor_seeds.default 2025-12-04T11:28:29.7190514Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7191605Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7193079Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7194461Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7195814Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7197356Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7198844Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7200154Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7201524Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7203044Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7204730Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7206135Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7207505Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7208957Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7210417Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7212023Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7213477Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7214957Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7216492Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7218044Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7219560Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7221115Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7222781Z W1204 11:18:39.989000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.7223931Z PASSED [0.9026s] [ 30%] 2025-12-04T11:28:29.7225138Z inductor/test_compile_subprocess.py::GPUTests::test_dropout_cuda <- test/inductor/test_torchinductor.py W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7226763Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7228234Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7229622Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7230969Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7232511Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7234006Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7235324Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7236703Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7238211Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7239715Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7241102Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7242601Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7244062Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7245516Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7246993Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7248433Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7249947Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7251505Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7253002Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7254653Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7256218Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7257864Z W1204 11:18:40.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.inductor_seeds.default 2025-12-04T11:28:29.7258974Z PASSED [0.6149s] [ 30%] 2025-12-04T11:28:29.7261185Z inductor/test_compile_subprocess.py::GPUTests::test_dropout_deterministic_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/133025 for platform(s) inductor, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 30%] 2025-12-04T11:28:29.7263906Z inductor/test_compile_subprocess.py::GPUTests::test_dropout_trivial_0_cuda <- test/inductor/test_torchinductor.py PASSED [0.3827s] [ 31%] 2025-12-04T11:28:29.7265927Z inductor/test_compile_subprocess.py::GPUTests::test_dtype_mismatch_issue_cuda <- test/inductor/test_torchinductor.py W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7267611Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7269087Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7270479Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7271834Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7273379Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7274955Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7276478Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7277856Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7279409Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7280945Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7282347Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7283728Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7285182Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7286626Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7288084Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7289531Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7291094Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7292579Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7294064Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7295574Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7297144Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7298808Z W1204 11:18:41.928000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.7299944Z PASSED [1.2965s] [ 31%] 2025-12-04T11:28:29.7300693Z inductor/test_compile_subprocess.py::GPUTests::test_dtype_sympy_expr_cuda <- test/inductor/test_torchinductor.py PASSED [2.5832s] [ 31%] 2025-12-04T11:28:29.7302193Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float16_float16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0034s] (uses bfloat16 which requires SM >= 80) [ 32%] 2025-12-04T11:28:29.7303935Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float16_float64_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (uses bfloat16 which requires SM >= 80) [ 32%] 2025-12-04T11:28:29.7305907Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float16_int16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 32%] 2025-12-04T11:28:29.7307618Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float16_int32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 33%] 2025-12-04T11:28:29.7309370Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float16_int64_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (uses bfloat16 which requires SM >= 80) [ 33%] 2025-12-04T11:28:29.7311092Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float16_uint8_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 33%] 2025-12-04T11:28:29.7312866Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float32_float16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 33%] 2025-12-04T11:28:29.7314598Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float32_int16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 34%] 2025-12-04T11:28:29.7316298Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float32_int32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 34%] 2025-12-04T11:28:29.7318012Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float32_int64_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 34%] 2025-12-04T11:28:29.7319719Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float32_int8_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 35%] 2025-12-04T11:28:29.7322024Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float64_float16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 35%] 2025-12-04T11:28:29.7323764Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float64_float32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 35%] 2025-12-04T11:28:29.7325479Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float64_int16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 36%] 2025-12-04T11:28:29.7327191Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float64_int32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (uses bfloat16 which requires SM >= 80) [ 36%] 2025-12-04T11:28:29.7328895Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float64_int8_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0032s] (uses bfloat16 which requires SM >= 80) [ 36%] 2025-12-04T11:28:29.7330610Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_float64_uint8_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 37%] 2025-12-04T11:28:29.7332208Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_fusion_cuda <- test/inductor/test_torchinductor.py PASSED [0.5020s] [ 37%] 2025-12-04T11:28:29.7333698Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int16_float64_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (uses bfloat16 which requires SM >= 80) [ 37%] 2025-12-04T11:28:29.7335393Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int16_int16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (uses bfloat16 which requires SM >= 80) [ 38%] 2025-12-04T11:28:29.7337181Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int16_int32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 38%] 2025-12-04T11:28:29.7338971Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int16_int8_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 38%] 2025-12-04T11:28:29.7340653Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int32_float16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (uses bfloat16 which requires SM >= 80) [ 39%] 2025-12-04T11:28:29.7342359Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int32_float32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 39%] 2025-12-04T11:28:29.7344096Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int32_int16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 39%] 2025-12-04T11:28:29.7345830Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int64_float16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 40%] 2025-12-04T11:28:29.7347656Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int64_float64_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 40%] 2025-12-04T11:28:29.7349353Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int64_int32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (uses bfloat16 which requires SM >= 80) [ 40%] 2025-12-04T11:28:29.7351035Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int64_int64_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 41%] 2025-12-04T11:28:29.7352731Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int8_int32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0031s] (uses bfloat16 which requires SM >= 80) [ 41%] 2025-12-04T11:28:29.7354412Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_int8_uint8_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 41%] 2025-12-04T11:28:29.7356111Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_float16_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 41%] 2025-12-04T11:28:29.7357809Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_float32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 42%] 2025-12-04T11:28:29.7359527Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_float64_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 42%] 2025-12-04T11:28:29.7361225Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_int32_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 42%] 2025-12-04T11:28:29.7362912Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_int64_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 43%] 2025-12-04T11:28:29.7364608Z inductor/test_compile_subprocess.py::GPUTests::test_dtypeview_uint8_int8_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0030s] (uses bfloat16 which requires SM >= 80) [ 43%] 2025-12-04T11:28:29.7366055Z inductor/test_compile_subprocess.py::GPUTests::test_embedding_bag_cuda <- test/inductor/test_torchinductor.py PASSED [0.3203s] [ 43%] 2025-12-04T11:28:29.7367309Z inductor/test_compile_subprocess.py::GPUTests::test_embedding_sparse_cuda <- test/inductor/test_torchinductor.py PASSED [0.3195s] [ 44%] 2025-12-04T11:28:29.7368564Z inductor/test_compile_subprocess.py::GPUTests::test_exact_stride_cuda <- test/inductor/test_torchinductor.py PASSED [0.5129s] [ 44%] 2025-12-04T11:28:29.7369752Z inductor/test_compile_subprocess.py::GPUTests::test_exp2_cuda <- test/inductor/test_torchinductor.py PASSED [0.6135s] [ 44%] 2025-12-04T11:28:29.7371092Z inductor/test_compile_subprocess.py::GPUTests::test_expand_as_cuda <- test/inductor/test_torchinductor.py PASSED [0.6067s] [ 45%] 2025-12-04T11:28:29.7372363Z inductor/test_compile_subprocess.py::GPUTests::test_expand_cuda <- test/inductor/test_torchinductor.py PASSED [0.6621s] [ 45%] 2025-12-04T11:28:29.7374124Z inductor/test_compile_subprocess.py::GPUTests::test_fallback_mutable_op_basic_cuda <- test/inductor/test_torchinductor.py W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7375832Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] Traceback (most recent call last): 2025-12-04T11:28:29.7377290Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7378673Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] ).serialize() 2025-12-04T11:28:29.7380010Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7381539Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7383022Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7384307Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] pickler.dump(obj) 2025-12-04T11:28:29.7385653Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7387160Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7388653Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7390028Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] cls(obj, pickler.options), 2025-12-04T11:28:29.7391376Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7392812Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7394259Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7395701Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7397131Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7398592Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7400052Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7401536Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7403096Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7404781Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7406372Z W1204 11:18:48.810000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.mylib.inplace_.default 2025-12-04T11:28:29.7407515Z PASSED [0.0581s] [ 45%] 2025-12-04T11:28:29.7408840Z inductor/test_compile_subprocess.py::GPUTests::test_fallback_mutable_op_list_tensor_cuda <- test/inductor/test_torchinductor.py W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7410612Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7412187Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7413587Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7414953Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7416496Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7417993Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7419316Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7420686Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 96, in reducer_override 2025-12-04T11:28:29.7422163Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _OpPickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7423632Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 418, in reduce_helper 2025-12-04T11:28:29.7425074Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] result = cls.pickle(op, pickler.options) 2025-12-04T11:28:29.7426501Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7427998Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7429504Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7431065Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7432658Z W1204 11:18:48.927000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.mylib.mysin.default 2025-12-04T11:28:29.7433823Z PASSED [0.7634s] [ 46%] 2025-12-04T11:28:29.7435165Z inductor/test_compile_subprocess.py::GPUTests::test_fallback_mutable_op_no_mutated_tensors_cuda <- test/inductor/test_torchinductor.py W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7436897Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] Traceback (most recent call last): 2025-12-04T11:28:29.7438378Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7439735Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] ).serialize() 2025-12-04T11:28:29.7441091Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7442616Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7444091Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7445379Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] pickler.dump(obj) 2025-12-04T11:28:29.7446713Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7448220Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7449712Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7451143Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] cls(obj, pickler.options), 2025-12-04T11:28:29.7452503Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7453940Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7455375Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7456817Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7458238Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7459703Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7461163Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7462631Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7464201Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7465756Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7467344Z W1204 11:18:49.627000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.mylib.inplace_.default 2025-12-04T11:28:29.7468451Z PASSED [0.0391s] [ 46%] 2025-12-04T11:28:29.7469754Z inductor/test_compile_subprocess.py::GPUTests::test_fft_real_input_real_output_cuda <- test/inductor/test_torchinductor.py W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7471476Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7472968Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7474370Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7475732Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7477277Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7478771Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7480099Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7481479Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7483000Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7484501Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7485902Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7487286Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7488741Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7490202Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7491712Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7493163Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7494653Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7496197Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7497688Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7499202Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7500796Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7502503Z W1204 11:18:49.726000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.7503646Z PASSED [0.1473s] [ 46%] 2025-12-04T11:28:29.7504339Z inductor/test_compile_subprocess.py::GPUTests::test_fill2_cuda <- test/inductor/test_torchinductor.py PASSED [0.5639s] [ 47%] 2025-12-04T11:28:29.7505821Z inductor/test_compile_subprocess.py::GPUTests::test_flexible_layout_immutable_free_symbols_cuda <- test/inductor/test_torchinductor.py PASSED [0.0040s] [ 47%] 2025-12-04T11:28:29.7507245Z inductor/test_compile_subprocess.py::GPUTests::test_float_index_expression_cuda <- test/inductor/test_torchinductor.py PASSED [0.0033s] [ 47%] 2025-12-04T11:28:29.7509090Z inductor/test_compile_subprocess.py::GPUTests::test_float_repr_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7510783Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7512279Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7513680Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7515041Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7516588Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7518080Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7519410Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7520786Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7522311Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7523825Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7525221Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7526701Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7528160Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7529617Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7531172Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7532635Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7534177Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7535665Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7537164Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7538669Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7540241Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7541844Z W1204 11:18:50.712000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.7543315Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7544410Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] Traceback (most recent call last): 2025-12-04T11:28:29.7545886Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7547279Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] ).serialize() 2025-12-04T11:28:29.7548633Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7550186Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7551677Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7553006Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] pickler.dump(obj) 2025-12-04T11:28:29.7554378Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7555896Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7557462Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7558858Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7560233Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7561716Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7563161Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7564657Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7566108Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7567590Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7569077Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7570569Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7572144Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7573717Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7575311Z W1204 11:18:51.625000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.7576780Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7577875Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7579350Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7580738Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7582094Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7583634Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7585125Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7586449Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7587886Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7589401Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7590912Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7592335Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7593747Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7595209Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7596669Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7598120Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7599563Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7601054Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7602532Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7604026Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7605680Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7607263Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7608932Z W1204 11:18:52.251000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.7610488Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7611633Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] Traceback (most recent call last): 2025-12-04T11:28:29.7613099Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7614503Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] ).serialize() 2025-12-04T11:28:29.7615861Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7617501Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7619005Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7620321Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] pickler.dump(obj) 2025-12-04T11:28:29.7621802Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7623375Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7624931Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7626329Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7627716Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7629174Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7630635Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7632093Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7633539Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7635031Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7636513Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7638009Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7639526Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7640152Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7641058Z W1204 11:18:53.086000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [1/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.7641172Z PASSED [3.0231s] [ 48%] 2025-12-04T11:28:29.7641689Z inductor/test_compile_subprocess.py::GPUTests::test_fmod_cuda <- test/inductor/test_torchinductor.py PASSED [0.6088s] [ 48%] 2025-12-04T11:28:29.7642299Z inductor/test_compile_subprocess.py::GPUTests::test_fractional_max_pool2d3_cuda <- test/inductor/test_torchinductor.py PASSED [0.5525s] [ 48%] 2025-12-04T11:28:29.7642894Z inductor/test_compile_subprocess.py::GPUTests::test_fractional_max_pool2d5_cuda <- test/inductor/test_torchinductor.py PASSED [1.2822s] [ 49%] 2025-12-04T11:28:29.7643503Z inductor/test_compile_subprocess.py::GPUTests::test_full_boolean_cuda <- test/inductor/test_torchinductor.py PASSED [0.5119s] [ 49%] 2025-12-04T11:28:29.7644079Z inductor/test_compile_subprocess.py::GPUTests::test_full_like_sliced_cuda <- test/inductor/test_torchinductor.py PASSED [0.3831s] [ 49%] 2025-12-04T11:28:29.7644641Z inductor/test_compile_subprocess.py::GPUTests::test_full_truncation_cuda <- test/inductor/test_torchinductor.py PASSED [1.4025s] [ 50%] 2025-12-04T11:28:29.7645282Z inductor/test_compile_subprocess.py::GPUTests::test_functionalize_rng_wrappers_cuda <- test/inductor/test_torchinductor.py PASSED [0.0603s] [ 50%] 2025-12-04T11:28:29.7645839Z inductor/test_compile_subprocess.py::GPUTests::test_gather2_cuda <- test/inductor/test_torchinductor.py PASSED [0.0039s] [ 50%] 2025-12-04T11:28:29.7646359Z inductor/test_compile_subprocess.py::GPUTests::test_gather3_cuda <- test/inductor/test_torchinductor.py PASSED [0.9752s] [ 50%] 2025-12-04T11:28:29.7647567Z inductor/test_compile_subprocess.py::GPUTests::test_generated_code_has_alignment_assert_cuda <- test/inductor/test_torchinductor.py W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7648024Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7648926Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7649304Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7650151Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7650731Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7651617Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7652031Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7652873Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7653437Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7654266Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7654720Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7655523Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7656043Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7656860Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7657380Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7658248Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7658801Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7659598Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7660214Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7661128Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7662252Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7663083Z W1204 11:18:59.264000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.test.foo.default 2025-12-04T11:28:29.7663198Z PASSED [0.2661s] [ 51%] 2025-12-04T11:28:29.7663865Z inductor/test_compile_subprocess.py::GPUTests::test_graph_partition_misaligned_input_cuda <- test/inductor/test_torchinductor.py PASSED [1.2998s] [ 51%] 2025-12-04T11:28:29.7664500Z inductor/test_compile_subprocess.py::GPUTests::test_graph_partition_scalar_inputs_cuda <- test/inductor/test_torchinductor.py PASSED [0.7473s] [ 51%] 2025-12-04T11:28:29.7665581Z inductor/test_compile_subprocess.py::GPUTests::test_index_float_zero_cuda <- test/inductor/test_torchinductor.py W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7666040Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7666940Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7667317Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7668160Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7668737Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7669525Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7669931Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7670768Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7671330Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7672155Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7672675Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7673475Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7673994Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7674829Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7675446Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7676257Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7676804Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7677606Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7678173Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7678980Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7679618Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7680526Z W1204 11:19:01.695000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.7680642Z PASSED [0.5989s] [ 52%] 2025-12-04T11:28:29.7681844Z inductor/test_compile_subprocess.py::GPUTests::test_index_propagation_nested_indirect_indexing_cuda <- test/inductor/test_torchinductor.py W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7682297Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7683207Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7683583Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7684433Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7685008Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7685804Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7686202Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7687087Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7687649Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7688474Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7688954Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7689781Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7690312Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7691197Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7691718Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7692522Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7693076Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7693874Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7694440Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7695254Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7695876Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7696706Z W1204 11:19:02.255000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.7696815Z PASSED [0.4889s] [ 52%] 2025-12-04T11:28:29.7697360Z inductor/test_compile_subprocess.py::GPUTests::test_index_put1_cuda <- test/inductor/test_torchinductor.py PASSED [2.2919s] [ 52%] 2025-12-04T11:28:29.7697907Z inductor/test_compile_subprocess.py::GPUTests::test_index_put2_cuda <- test/inductor/test_torchinductor.py PASSED [0.5543s] [ 53%] 2025-12-04T11:28:29.7698438Z inductor/test_compile_subprocess.py::GPUTests::test_index_put4_cuda <- test/inductor/test_torchinductor.py PASSED [0.3964s] [ 53%] 2025-12-04T11:28:29.7699033Z inductor/test_compile_subprocess.py::GPUTests::test_index_put_as_masked_fill_cuda <- test/inductor/test_torchinductor.py PASSED [1.3400s] [ 53%] 2025-12-04T11:28:29.7699691Z inductor/test_compile_subprocess.py::GPUTests::test_index_put_deterministic_fallback_cuda <- test/inductor/test_torchinductor.py PASSED [0.2468s] [ 54%] 2025-12-04T11:28:29.7700261Z inductor/test_compile_subprocess.py::GPUTests::test_index_remainder_cuda <- test/inductor/test_torchinductor.py PASSED [0.5103s] [ 54%] 2025-12-04T11:28:29.7701374Z inductor/test_compile_subprocess.py::GPUTests::test_index_tensor_cuda <- test/inductor/test_torchinductor.py W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7701834Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7702734Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7703138Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7704005Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7704739Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7705536Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7705951Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7706788Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7707340Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7708179Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7708620Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7709433Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7709953Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7710764Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7711289Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7712089Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7712655Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7713440Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7714019Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7714933Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7715572Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7716400Z W1204 11:19:08.042000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.7716944Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7717418Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7718354Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7718742Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7719579Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7720161Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7720946Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7721347Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7722193Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7722741Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7723573Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7724017Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7724819Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7725351Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7726149Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7726674Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7727476Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7728033Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7728887Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7729454Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7730277Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7730937Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7731843Z W1204 11:19:08.306000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.7731986Z PASSED [0.5280s] [ 54%] 2025-12-04T11:28:29.7733000Z inductor/test_compile_subprocess.py::GPUTests::test_inductor_multiple_specializations_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Skipping triton backend only since not big GPU (not enough SM)) [ 55%] 2025-12-04T11:28:29.7734207Z inductor/test_compile_subprocess.py::GPUTests::test_inductor_triton_bucketize_respects_masking_cuda <- test/inductor/test_torchinductor.py W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7734665Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7735559Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7735936Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7736789Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7737363Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7738162Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7738554Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7739394Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7739955Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7740777Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7741230Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7742027Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7742547Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7743414Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7743931Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7744738Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7745313Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7746114Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7746716Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7747523Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7748158Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7748987Z W1204 11:19:08.565000 96287 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.7749105Z PASSED [0.2850s] [ 55%] 2025-12-04T11:28:29.7749613Z inductor/test_compile_subprocess.py::GPUTests::test_inf_cuda <- test/inductor/test_torchinductor.py PASSED [0.4230s] [ 55%] 2025-12-04T11:28:29.7750245Z inductor/test_compile_subprocess.py::GPUTests::test_inner_reduction_detection_cuda <- test/inductor/test_torchinductor.py PASSED [0.3013s] [ 56%] 2025-12-04T11:28:29.7750850Z inductor/test_compile_subprocess.py::GPUTests::test_inplace_where_pointwise_cuda <- test/inductor/test_torchinductor.py PASSED [0.4612s] [ 56%] 2025-12-04T11:28:29.7751416Z inductor/test_compile_subprocess.py::GPUTests::test_input_mutation5_cuda <- test/inductor/test_torchinductor.py PASSED [0.1921s] [ 56%] 2025-12-04T11:28:29.7752117Z inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.1473s] [ 57%] 2025-12-04T11:28:29.7752800Z inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.1086s] [ 57%] 2025-12-04T11:28:29.7753395Z inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda <- test/inductor/test_torchinductor.py FAILED [0.1090s] [ 57%] 2025-12-04T11:28:29.7753402Z 2025-12-04T11:28:29.7753550Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.7753797Z __________________ GPUTests.test_int8_weight_only_quant_cuda ___________________ 2025-12-04T11:28:29.7753926Z Traceback (most recent call last): 2025-12-04T11:28:29.7754440Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T11:28:29.7754600Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T11:28:29.7754879Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.7754993Z return func(*args, **kwds) 2025-12-04T11:28:29.7755430Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.7755530Z check_model( 2025-12-04T11:28:29.7755930Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 514, in check_model 2025-12-04T11:28:29.7756124Z actual = run(*example_inputs, **kwargs) 2025-12-04T11:28:29.7756610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.7756865Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.7757375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.7757596Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.7758116Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.7758259Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.7758823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.7759154Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.7759694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.7759904Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.7760412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.7760514Z return f.result() 2025-12-04T11:28:29.7760881Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.7760993Z return self.__get_result() 2025-12-04T11:28:29.7761395Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.7761506Z raise self._exception 2025-12-04T11:28:29.7761883Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7761890Z 2025-12-04T11:28:29.7761999Z Name= 2025-12-04T11:28:29.7762122Z Traceback (most recent call last): 2025-12-04T11:28:29.7762657Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7762770Z result = job() 2025-12-04T11:28:29.7763346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7763535Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7764038Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7764234Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7764768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7764892Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7765455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7765576Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7766058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7766209Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7766382Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7766388Z 2025-12-04T11:28:29.7766393Z 2025-12-04T11:28:29.7767110Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7767129Z 2025-12-04T11:28:29.7767134Z 2025-12-04T11:28:29.7767350Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7767938Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7767944Z 2025-12-04T11:28:29.7768224Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7768451Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7768578Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7768801Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7768952Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7769184Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7769924Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7770232Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7770493Z __________________ GPUTests.test_int8_weight_only_quant_cuda ___________________ 2025-12-04T11:28:29.7770615Z Traceback (most recent call last): 2025-12-04T11:28:29.7771220Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T11:28:29.7771378Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T11:28:29.7771650Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.7771779Z return func(*args, **kwds) 2025-12-04T11:28:29.7772207Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.7772304Z check_model( 2025-12-04T11:28:29.7772718Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 514, in check_model 2025-12-04T11:28:29.7772845Z actual = run(*example_inputs, **kwargs) 2025-12-04T11:28:29.7773342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.7773592Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.7774096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.7774300Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.7774805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.7774960Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.7775492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.7775807Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.7776357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.7776561Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.7777062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.7777175Z return f.result() 2025-12-04T11:28:29.7777532Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.7777661Z return self.__get_result() 2025-12-04T11:28:29.7778047Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.7778153Z raise self._exception 2025-12-04T11:28:29.7778544Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7778552Z 2025-12-04T11:28:29.7778644Z Name= 2025-12-04T11:28:29.7778763Z Traceback (most recent call last): 2025-12-04T11:28:29.7779377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7779474Z result = job() 2025-12-04T11:28:29.7780062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7780231Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7780731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7780970Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7781487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7781658Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7782208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7782326Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7782825Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7782961Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7783127Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7783132Z 2025-12-04T11:28:29.7783148Z 2025-12-04T11:28:29.7783860Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7783869Z 2025-12-04T11:28:29.7783873Z 2025-12-04T11:28:29.7784085Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7784615Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7784620Z 2025-12-04T11:28:29.7784884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7785115Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7785226Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7785441Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7785572Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7785785Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7786524Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7786812Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7787025Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7787150Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7787364Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7787488Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7787711Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7788446Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7788736Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7788878Z =================================== FAILURES =================================== 2025-12-04T11:28:29.7789119Z __________________ GPUTests.test_int8_weight_only_quant_cuda ___________________ 2025-12-04T11:28:29.7789253Z Traceback (most recent call last): 2025-12-04T11:28:29.7789762Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T11:28:29.7789913Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T11:28:29.7790256Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.7790371Z return func(*args, **kwds) 2025-12-04T11:28:29.7790813Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.7790907Z check_model( 2025-12-04T11:28:29.7791309Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 514, in check_model 2025-12-04T11:28:29.7791483Z actual = run(*example_inputs, **kwargs) 2025-12-04T11:28:29.7791966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.7792211Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.7792764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.7792953Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.7793474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.7793615Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.7794147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.7794476Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.7795009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.7795223Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.7795732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.7795833Z return f.result() 2025-12-04T11:28:29.7796199Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.7796312Z return self.__get_result() 2025-12-04T11:28:29.7796702Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.7796814Z raise self._exception 2025-12-04T11:28:29.7797190Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7797198Z 2025-12-04T11:28:29.7797301Z Name= 2025-12-04T11:28:29.7797417Z Traceback (most recent call last): 2025-12-04T11:28:29.7797959Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7798066Z result = job() 2025-12-04T11:28:29.7798641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7798813Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7799322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7799522Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7800053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7800175Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7800727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7800855Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7801340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7801485Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7801650Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7801656Z 2025-12-04T11:28:29.7801660Z 2025-12-04T11:28:29.7802429Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7802436Z 2025-12-04T11:28:29.7802451Z 2025-12-04T11:28:29.7802668Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7803186Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7803219Z 2025-12-04T11:28:29.7803494Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7803711Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7803870Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7804097Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7804216Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7804441Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7805441Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7805728Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7805952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7806072Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7806291Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7806421Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7806631Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7807374Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7807656Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7807866Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7807987Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7808207Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7808328Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7808545Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7809280Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7809566Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7810390Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-f69285379d14bdaf.xml - 2025-12-04T11:28:29.7810562Z =========================== short test summary info ============================ 2025-12-04T11:28:29.7811474Z FAILED [0.1090s] inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda - torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7811481Z 2025-12-04T11:28:29.7811582Z Name= 2025-12-04T11:28:29.7811712Z Traceback (most recent call last): 2025-12-04T11:28:29.7812262Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7812360Z result = job() 2025-12-04T11:28:29.7812946Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7813122Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7813747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7813950Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7814472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7814601Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7815200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7815319Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7815808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7815991Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7816166Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7816171Z 2025-12-04T11:28:29.7816176Z 2025-12-04T11:28:29.7816896Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7816901Z 2025-12-04T11:28:29.7816905Z 2025-12-04T11:28:29.7817127Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7817650Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7817656Z 2025-12-04T11:28:29.7817922Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7818107Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.7818342Z ======== 1 failed, 130 passed, 47 skipped, 2 rerun in 144.77s (0:02:24) ======== 2025-12-04T11:28:29.7818444Z Got exit code 1 2025-12-04T11:28:29.7818549Z Retrying single test... 2025-12-04T11:28:29.7819007Z W1204 11:19:24.278000 101096 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.7819670Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-6f8c6cfdc96d8423.xml 2025-12-04T11:28:29.7819834Z ============================= test session starts ============================== 2025-12-04T11:28:29.7820189Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.7820311Z cachedir: .pytest_cache 2025-12-04T11:28:29.7820832Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.7820963Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.7821076Z configfile: pytest.ini 2025-12-04T11:28:29.7821620Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.7821866Z collecting ... collected 879 items / 311 deselected / 568 selected 2025-12-04T11:28:29.7822488Z stepcurrent: skipping 177 already run items. Running only test/inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7822605Z Running 1 items in this shard 2025-12-04T11:28:29.7822624Z 2025-12-04T11:28:29.7823320Z inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [17.2105s] [100%] 2025-12-04T11:28:29.7824009Z inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.1184s] [100%] 2025-12-04T11:28:29.7824617Z inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda <- test/inductor/test_torchinductor.py FAILED [0.1179s] [100%] 2025-12-04T11:28:29.7824626Z 2025-12-04T11:28:29.7824767Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.7825087Z __________________ GPUTests.test_int8_weight_only_quant_cuda ___________________ 2025-12-04T11:28:29.7825213Z Traceback (most recent call last): 2025-12-04T11:28:29.7825726Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T11:28:29.7825894Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T11:28:29.7826178Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.7826323Z return func(*args, **kwds) 2025-12-04T11:28:29.7826771Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.7826869Z check_model( 2025-12-04T11:28:29.7827317Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 514, in check_model 2025-12-04T11:28:29.7827447Z actual = run(*example_inputs, **kwargs) 2025-12-04T11:28:29.7827938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.7828200Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.7828714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.7828908Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.7829436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.7829580Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.7830129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.7830450Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.7830993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.7831212Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.7831718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.7831831Z return f.result() 2025-12-04T11:28:29.7832184Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.7832301Z return self.__get_result() 2025-12-04T11:28:29.7832709Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.7832818Z raise self._exception 2025-12-04T11:28:29.7833198Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7833217Z 2025-12-04T11:28:29.7833312Z Name= 2025-12-04T11:28:29.7833433Z Traceback (most recent call last): 2025-12-04T11:28:29.7833987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7834085Z result = job() 2025-12-04T11:28:29.7834663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7834849Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7835352Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7835565Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7836089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7836215Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7836781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7836961Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7837444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7837596Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7837843Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7837851Z 2025-12-04T11:28:29.7837901Z 2025-12-04T11:28:29.7838647Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7838653Z 2025-12-04T11:28:29.7838657Z 2025-12-04T11:28:29.7838874Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7839448Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7839453Z 2025-12-04T11:28:29.7839729Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7839952Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7840081Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7840205Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7840426Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7840658Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7841400Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7841693Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7841939Z __________________ GPUTests.test_int8_weight_only_quant_cuda ___________________ 2025-12-04T11:28:29.7842062Z Traceback (most recent call last): 2025-12-04T11:28:29.7842585Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T11:28:29.7842738Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T11:28:29.7843027Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.7843142Z return func(*args, **kwds) 2025-12-04T11:28:29.7843574Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.7843686Z check_model( 2025-12-04T11:28:29.7844088Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 514, in check_model 2025-12-04T11:28:29.7844220Z actual = run(*example_inputs, **kwargs) 2025-12-04T11:28:29.7844719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.7844962Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.7845480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.7845668Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.7846171Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.7846313Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.7846850Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.7847169Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.7847709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.7847910Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.7848565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.7848710Z return f.result() 2025-12-04T11:28:29.7849097Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.7849221Z return self.__get_result() 2025-12-04T11:28:29.7849612Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.7849788Z raise self._exception 2025-12-04T11:28:29.7850166Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7850172Z 2025-12-04T11:28:29.7850269Z Name= 2025-12-04T11:28:29.7850397Z Traceback (most recent call last): 2025-12-04T11:28:29.7850961Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7851144Z result = job() 2025-12-04T11:28:29.7851735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7851909Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7852420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7852619Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7853141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7853277Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7853826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7853944Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7854435Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7854569Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7854741Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7854746Z 2025-12-04T11:28:29.7854751Z 2025-12-04T11:28:29.7855469Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7855477Z 2025-12-04T11:28:29.7855481Z 2025-12-04T11:28:29.7855702Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7856221Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7856228Z 2025-12-04T11:28:29.7856491Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7856718Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7856833Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7856965Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7857186Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7857401Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7858152Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7858432Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7858645Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7858768Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7858981Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7859103Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7859379Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7860112Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7860393Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7860530Z =================================== FAILURES =================================== 2025-12-04T11:28:29.7860804Z __________________ GPUTests.test_int8_weight_only_quant_cuda ___________________ 2025-12-04T11:28:29.7860931Z Traceback (most recent call last): 2025-12-04T11:28:29.7861433Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T11:28:29.7861623Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T11:28:29.7861900Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.7862008Z return func(*args, **kwds) 2025-12-04T11:28:29.7862449Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.7862543Z check_model( 2025-12-04T11:28:29.7862939Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 514, in check_model 2025-12-04T11:28:29.7863074Z actual = run(*example_inputs, **kwargs) 2025-12-04T11:28:29.7863554Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.7863808Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.7864316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.7864503Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.7865015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.7865158Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.7865691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.7866010Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.7866540Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.7866749Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.7867250Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.7867352Z return f.result() 2025-12-04T11:28:29.7867707Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.7867813Z return self.__get_result() 2025-12-04T11:28:29.7868207Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.7868309Z raise self._exception 2025-12-04T11:28:29.7868681Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7868687Z 2025-12-04T11:28:29.7868783Z Name= 2025-12-04T11:28:29.7868896Z Traceback (most recent call last): 2025-12-04T11:28:29.7869432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7869529Z result = job() 2025-12-04T11:28:29.7870097Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7870273Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7870771Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7871019Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7871639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7871762Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7872314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7872529Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7873009Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7873144Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7873335Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7873341Z 2025-12-04T11:28:29.7873346Z 2025-12-04T11:28:29.7874068Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7874074Z 2025-12-04T11:28:29.7874078Z 2025-12-04T11:28:29.7874287Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7874800Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7874807Z 2025-12-04T11:28:29.7875074Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7875288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7875405Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7875519Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7875736Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7875952Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7876687Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7876968Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7877175Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7877283Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7877503Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7877617Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7877821Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7878554Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7878828Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7879044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7879149Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7879360Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7879482Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7879686Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7880415Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7880691Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7881516Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-6f8c6cfdc96d8423.xml - 2025-12-04T11:28:29.7881749Z =========================== short test summary info ============================ 2025-12-04T11:28:29.7882591Z FAILED [0.1179s] inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda - torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7882596Z 2025-12-04T11:28:29.7882687Z Name= 2025-12-04T11:28:29.7882808Z Traceback (most recent call last): 2025-12-04T11:28:29.7883350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7883477Z result = job() 2025-12-04T11:28:29.7884051Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7884250Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7884754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7884954Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7885477Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7885595Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7886143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7886262Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7886739Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7886871Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7887045Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7887050Z 2025-12-04T11:28:29.7887055Z 2025-12-04T11:28:29.7887778Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7887783Z 2025-12-04T11:28:29.7887788Z 2025-12-04T11:28:29.7888006Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7888519Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7888524Z 2025-12-04T11:28:29.7888791Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7888965Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.7889162Z ================= 1 failed, 311 deselected, 2 rerun in 17.53s ================== 2025-12-04T11:28:29.7889262Z Got exit code 1 2025-12-04T11:28:29.7889366Z Retrying single test... 2025-12-04T11:28:29.7889810Z W1204 11:19:56.709000 101315 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.7890451Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-4401f11930aba9a4.xml 2025-12-04T11:28:29.7890606Z ============================= test session starts ============================== 2025-12-04T11:28:29.7890955Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.7891146Z cachedir: .pytest_cache 2025-12-04T11:28:29.7891668Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.7891791Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.7891895Z configfile: pytest.ini 2025-12-04T11:28:29.7892432Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.7892657Z collecting ... collected 879 items / 311 deselected / 568 selected 2025-12-04T11:28:29.7893345Z stepcurrent: skipping 177 already run items. Running only test/inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7893465Z Running 1 items in this shard 2025-12-04T11:28:29.7893471Z 2025-12-04T11:28:29.7894161Z inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [16.9076s] [100%] 2025-12-04T11:28:29.7894854Z inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.1129s] [100%] 2025-12-04T11:28:29.7895470Z inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda <- test/inductor/test_torchinductor.py FAILED [0.1115s] [100%] 2025-12-04T11:28:29.7895505Z 2025-12-04T11:28:29.7895641Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.7895886Z __________________ GPUTests.test_int8_weight_only_quant_cuda ___________________ 2025-12-04T11:28:29.7896005Z Traceback (most recent call last): 2025-12-04T11:28:29.7896514Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T11:28:29.7896669Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T11:28:29.7896945Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.7897058Z return func(*args, **kwds) 2025-12-04T11:28:29.7897486Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.7897577Z check_model( 2025-12-04T11:28:29.7897981Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 514, in check_model 2025-12-04T11:28:29.7898107Z actual = run(*example_inputs, **kwargs) 2025-12-04T11:28:29.7898589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.7898842Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.7899349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.7899538Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.7900043Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.7900184Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.7900716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.7901031Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.7901568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.7901766Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.7902270Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.7902372Z return f.result() 2025-12-04T11:28:29.7902720Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.7902826Z return self.__get_result() 2025-12-04T11:28:29.7903216Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.7903318Z raise self._exception 2025-12-04T11:28:29.7903696Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7903701Z 2025-12-04T11:28:29.7903794Z Name= 2025-12-04T11:28:29.7903910Z Traceback (most recent call last): 2025-12-04T11:28:29.7904454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7904793Z result = job() 2025-12-04T11:28:29.7905378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7905548Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7906047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7906293Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7906809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7906929Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7907524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7907639Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7908128Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7908261Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7908424Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7908429Z 2025-12-04T11:28:29.7908433Z 2025-12-04T11:28:29.7909153Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7909161Z 2025-12-04T11:28:29.7909165Z 2025-12-04T11:28:29.7909375Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7909900Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7909907Z 2025-12-04T11:28:29.7910169Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7910396Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7910507Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7910625Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7910850Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7911060Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7911796Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7912079Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7912318Z __________________ GPUTests.test_int8_weight_only_quant_cuda ___________________ 2025-12-04T11:28:29.7912445Z Traceback (most recent call last): 2025-12-04T11:28:29.7912947Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T11:28:29.7913097Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T11:28:29.7913377Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.7913486Z return func(*args, **kwds) 2025-12-04T11:28:29.7913912Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.7914013Z check_model( 2025-12-04T11:28:29.7914413Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 514, in check_model 2025-12-04T11:28:29.7914546Z actual = run(*example_inputs, **kwargs) 2025-12-04T11:28:29.7915022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.7915265Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.7915782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.7916026Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.7916535Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.7916683Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.7917214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.7917568Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.7918098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.7918327Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.7918836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.7918938Z return f.result() 2025-12-04T11:28:29.7919302Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.7919416Z return self.__get_result() 2025-12-04T11:28:29.7919805Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.7919920Z raise self._exception 2025-12-04T11:28:29.7920298Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7920304Z 2025-12-04T11:28:29.7920399Z Name= 2025-12-04T11:28:29.7920522Z Traceback (most recent call last): 2025-12-04T11:28:29.7921052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7921151Z result = job() 2025-12-04T11:28:29.7921721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7921891Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7922394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7922592Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7923118Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7923239Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7923787Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7923912Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7924399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7924534Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7924712Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7924717Z 2025-12-04T11:28:29.7924722Z 2025-12-04T11:28:29.7925437Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7925443Z 2025-12-04T11:28:29.7925448Z 2025-12-04T11:28:29.7925674Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7926194Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7926200Z 2025-12-04T11:28:29.7926478Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7926702Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7926815Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7926951Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7927224Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7927438Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7928191Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7928499Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7928723Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7928836Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7929056Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7929222Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7929432Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7930169Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7930455Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7930594Z =================================== FAILURES =================================== 2025-12-04T11:28:29.7930844Z __________________ GPUTests.test_int8_weight_only_quant_cuda ___________________ 2025-12-04T11:28:29.7930965Z Traceback (most recent call last): 2025-12-04T11:28:29.7931540Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 2486, in test_int8_weight_only_quant 2025-12-04T11:28:29.7931707Z self.common(fn, (a, b_int8pack, b_scales, c)) 2025-12-04T11:28:29.7931988Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.7932110Z return func(*args, **kwds) 2025-12-04T11:28:29.7932544Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.7932644Z check_model( 2025-12-04T11:28:29.7933058Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 514, in check_model 2025-12-04T11:28:29.7933192Z actual = run(*example_inputs, **kwargs) 2025-12-04T11:28:29.7933675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.7933935Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.7934442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.7934642Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.7935149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.7935293Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.7935838Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.7936157Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.7936691Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.7936904Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.7937416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.7937528Z return f.result() 2025-12-04T11:28:29.7937883Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.7938001Z return self.__get_result() 2025-12-04T11:28:29.7938404Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.7938592Z raise self._exception 2025-12-04T11:28:29.7938982Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7938988Z 2025-12-04T11:28:29.7939083Z Name= 2025-12-04T11:28:29.7939204Z Traceback (most recent call last): 2025-12-04T11:28:29.7939752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7939880Z result = job() 2025-12-04T11:28:29.7940454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7940633Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7941164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7941374Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7941899Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7942024Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7942581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7942699Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7943185Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7943332Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7943500Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7943508Z 2025-12-04T11:28:29.7943512Z 2025-12-04T11:28:29.7944237Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7944243Z 2025-12-04T11:28:29.7944251Z 2025-12-04T11:28:29.7944465Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7944990Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7944995Z 2025-12-04T11:28:29.7945257Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7945477Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7945600Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7945717Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7945943Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7946158Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7946901Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7947187Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7947398Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7947510Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7947736Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7947855Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7948074Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7948802Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7949079Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7949297Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.7949461Z stats [('calls_captured', 2)] 2025-12-04T11:28:29.7949677Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.7949805Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.7950014Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.7950753Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.7951056Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.7951875Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-4401f11930aba9a4.xml - 2025-12-04T11:28:29.7952079Z =========================== short test summary info ============================ 2025-12-04T11:28:29.7952922Z FAILED [0.1115s] inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda - torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.7952928Z 2025-12-04T11:28:29.7953030Z Name= 2025-12-04T11:28:29.7953147Z Traceback (most recent call last): 2025-12-04T11:28:29.7953693Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.7953799Z result = job() 2025-12-04T11:28:29.7954373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.7954555Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.7955053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.7955255Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.7955789Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.7955908Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.7956455Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.7956578Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.7957058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.7957205Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.7957370Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.7957375Z 2025-12-04T11:28:29.7957380Z 2025-12-04T11:28:29.7958096Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.7958108Z 2025-12-04T11:28:29.7958112Z 2025-12-04T11:28:29.7958328Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.7958846Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7958851Z 2025-12-04T11:28:29.7959121Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.7959295Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.7959510Z ================= 1 failed, 311 deselected, 2 rerun in 17.21s ================== 2025-12-04T11:28:29.7959603Z Got exit code 1 2025-12-04T11:28:29.7960047Z FAILED CONSISTENTLY: test/inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda 2025-12-04T11:28:29.7960460Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:28:29.7960961Z W1204 11:20:28.355000 101534 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.7961606Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-a68a93738ed294f6.xml 2025-12-04T11:28:29.7961773Z ============================= test session starts ============================== 2025-12-04T11:28:29.7962119Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.7962266Z cachedir: .pytest_cache 2025-12-04T11:28:29.7962782Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.7962903Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.7963019Z configfile: pytest.ini 2025-12-04T11:28:29.7963590Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.7963813Z collecting ... collected 879 items / 178 deselected / 701 selected 2025-12-04T11:28:29.7963967Z stepcurrent: skipping 178 already run items. 2025-12-04T11:28:29.7964077Z Running 134 items in this shard 2025-12-04T11:28:29.7964083Z 2025-12-04T11:28:29.7964710Z inductor/test_compile_subprocess.py::GPUTests::test_int_input_dynamic_shapes_cuda <- test/inductor/test_torchinductor.py PASSED [18.5859s] [ 0%] 2025-12-04T11:28:29.7965397Z inductor/test_compile_subprocess.py::GPUTests::test_kwargs_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0034s] (histogramdd only supports cpu) [ 1%] 2025-12-04T11:28:29.7965971Z inductor/test_compile_subprocess.py::GPUTests::test_large_block_sizes_cuda <- test/inductor/test_torchinductor.py PASSED [5.7214s] [ 2%] 2025-12-04T11:28:29.7966595Z inductor/test_compile_subprocess.py::GPUTests::test_large_broadcast_reduction_cuda <- test/inductor/test_torchinductor.py PASSED [0.8920s] [ 2%] 2025-12-04T11:28:29.7967197Z inductor/test_compile_subprocess.py::GPUTests::test_large_offset_pointwise_cuda <- test/inductor/test_torchinductor.py PASSED [1.1372s] [ 3%] 2025-12-04T11:28:29.7967769Z inductor/test_compile_subprocess.py::GPUTests::test_large_pointwise_cuda <- test/inductor/test_torchinductor.py PASSED [1.2033s] [ 4%] 2025-12-04T11:28:29.7968815Z inductor/test_compile_subprocess.py::GPUTests::test_like_rands3_cuda <- test/inductor/test_torchinductor.py W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7969321Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.7970311Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7970700Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.7971644Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7972228Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7973038Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7973443Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.7974302Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7974925Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7975755Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7976213Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.7977054Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7977633Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7978439Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7978961Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7979773Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7980525Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7981342Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7981919Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7982740Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7983368Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.7984249Z W1204 11:20:57.899000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.inductor_seeds.default 2025-12-04T11:28:29.7984772Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.7985235Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] Traceback (most recent call last): 2025-12-04T11:28:29.7986137Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.7986515Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] ).serialize() 2025-12-04T11:28:29.7987366Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.7987946Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.7988808Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.7989225Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] pickler.dump(obj) 2025-12-04T11:28:29.7990064Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.7990658Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.7991485Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.7991970Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] cls(obj, pickler.options), 2025-12-04T11:28:29.7992783Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.7993306Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.7994119Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.7994649Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.7995464Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.7996020Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.7996824Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.7997398Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.7998657Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.7999402Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8000289Z W1204 11:20:58.532000 101534 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.inductor_seeds.default 2025-12-04T11:28:29.8000398Z PASSED [1.6569s] [ 5%] 2025-12-04T11:28:29.8001138Z inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.0341s] [ 5%] 2025-12-04T11:28:29.8001865Z inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.0053s] [ 5%] 2025-12-04T11:28:29.8002504Z inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda <- test/inductor/test_torchinductor.py FAILED [0.0047s] [ 5%] 2025-12-04T11:28:29.8002512Z 2025-12-04T11:28:29.8002653Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.8002986Z _______________ GPUTests.test_linalg_eig_stride_consistency_cuda _______________ 2025-12-04T11:28:29.8003107Z Traceback (most recent call last): 2025-12-04T11:28:29.8003653Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5999, in test_linalg_eig_stride_consistency 2025-12-04T11:28:29.8003761Z self.common( 2025-12-04T11:28:29.8004039Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.8004196Z return func(*args, **kwds) 2025-12-04T11:28:29.8004794Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.8004889Z check_model( 2025-12-04T11:28:29.8005296Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 497, in check_model 2025-12-04T11:28:29.8005508Z correct = ref_model(*ref_inputs, **ref_kwargs) 2025-12-04T11:28:29.8005866Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5994, in fn 2025-12-04T11:28:29.8006024Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8006781Z RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8006787Z 2025-12-04T11:28:29.8007011Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8007571Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8007579Z 2025-12-04T11:28:29.8007844Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8008105Z _______________ GPUTests.test_linalg_eig_stride_consistency_cuda _______________ 2025-12-04T11:28:29.8027279Z Traceback (most recent call last): 2025-12-04T11:28:29.8027927Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5999, in test_linalg_eig_stride_consistency 2025-12-04T11:28:29.8028022Z self.common( 2025-12-04T11:28:29.8028324Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.8028438Z return func(*args, **kwds) 2025-12-04T11:28:29.8028870Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.8028964Z check_model( 2025-12-04T11:28:29.8029370Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 497, in check_model 2025-12-04T11:28:29.8029521Z correct = ref_model(*ref_inputs, **ref_kwargs) 2025-12-04T11:28:29.8029875Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5994, in fn 2025-12-04T11:28:29.8030025Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8030787Z RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8030795Z 2025-12-04T11:28:29.8031019Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8031576Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8031582Z 2025-12-04T11:28:29.8031856Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8031997Z =================================== FAILURES =================================== 2025-12-04T11:28:29.8032248Z _______________ GPUTests.test_linalg_eig_stride_consistency_cuda _______________ 2025-12-04T11:28:29.8032375Z Traceback (most recent call last): 2025-12-04T11:28:29.8032909Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5999, in test_linalg_eig_stride_consistency 2025-12-04T11:28:29.8033008Z self.common( 2025-12-04T11:28:29.8033291Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.8033401Z return func(*args, **kwds) 2025-12-04T11:28:29.8033996Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.8034091Z check_model( 2025-12-04T11:28:29.8034493Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 497, in check_model 2025-12-04T11:28:29.8034649Z correct = ref_model(*ref_inputs, **ref_kwargs) 2025-12-04T11:28:29.8035005Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5994, in fn 2025-12-04T11:28:29.8035191Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8035959Z RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8036003Z 2025-12-04T11:28:29.8036221Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8036792Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8036798Z 2025-12-04T11:28:29.8037062Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8037887Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-a68a93738ed294f6.xml - 2025-12-04T11:28:29.8038066Z =========================== short test summary info ============================ 2025-12-04T11:28:29.8039335Z FAILED [0.0047s] inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda - RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8039343Z 2025-12-04T11:28:29.8039559Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8040114Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8040120Z 2025-12-04T11:28:29.8040396Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8040568Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.8040806Z ======= 1 failed, 6 passed, 1 skipped, 178 deselected, 2 rerun in 29.34s ======= 2025-12-04T11:28:29.8040912Z Got exit code 1 2025-12-04T11:28:29.8041016Z Retrying single test... 2025-12-04T11:28:29.8041471Z W1204 11:21:13.220000 102196 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.8042112Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-c822f111d9d47441.xml 2025-12-04T11:28:29.8042271Z ============================= test session starts ============================== 2025-12-04T11:28:29.8042637Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.8042742Z cachedir: .pytest_cache 2025-12-04T11:28:29.8043256Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.8043383Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.8043485Z configfile: pytest.ini 2025-12-04T11:28:29.8044026Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.8044257Z collecting ... collected 879 items / 311 deselected / 568 selected 2025-12-04T11:28:29.8044903Z stepcurrent: skipping 185 already run items. Running only test/inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8045023Z Running 1 items in this shard 2025-12-04T11:28:29.8045029Z 2025-12-04T11:28:29.8046235Z inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda <- test/inductor/test_torchinductor.py [W1204 11:21:15.920404303 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8046242Z 2025-12-04T11:28:29.8046766Z [W1204 11:21:30.567298109 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8046771Z 2025-12-04T11:28:29.8046944Z ('RERUN', {'yellow': True}) [15.6869s] [100%] 2025-12-04T11:28:29.8048086Z inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda <- test/inductor/test_torchinductor.py [W1204 11:21:30.612565900 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8048130Z 2025-12-04T11:28:29.8048639Z [W1204 11:21:30.613383226 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8048644Z 2025-12-04T11:28:29.8048773Z ('RERUN', {'yellow': True}) [0.0058s] [100%] 2025-12-04T11:28:29.8049920Z inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda <- test/inductor/test_torchinductor.py [W1204 11:21:30.619292687 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8049926Z 2025-12-04T11:28:29.8050432Z [W1204 11:21:30.620107753 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8050439Z 2025-12-04T11:28:29.8050542Z FAILED [0.0051s] [100%] 2025-12-04T11:28:29.8050547Z 2025-12-04T11:28:29.8050683Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.8050937Z _______________ GPUTests.test_linalg_eig_stride_consistency_cuda _______________ 2025-12-04T11:28:29.8051157Z Traceback (most recent call last): 2025-12-04T11:28:29.8051698Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5999, in test_linalg_eig_stride_consistency 2025-12-04T11:28:29.8051798Z self.common( 2025-12-04T11:28:29.8052072Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.8052178Z return func(*args, **kwds) 2025-12-04T11:28:29.8052610Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.8052703Z check_model( 2025-12-04T11:28:29.8053096Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 497, in check_model 2025-12-04T11:28:29.8053254Z correct = ref_model(*ref_inputs, **ref_kwargs) 2025-12-04T11:28:29.8053604Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5994, in fn 2025-12-04T11:28:29.8053755Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8054513Z RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8055267Z Exception raised from apply_magma_eig at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp:2024 (most recent call first): 2025-12-04T11:28:29.8055381Z C++ CapturedTraceback: 2025-12-04T11:28:29.8056691Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T11:28:29.8057179Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T11:28:29.8057514Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T11:28:29.8058379Z #7 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool)::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const [clone .constprop.0] from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8058787Z #8 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T11:28:29.8059220Z #9 at::native::linalg_eig_out_info(at::Tensor const&, at::Tensor&, at::Tensor&, at::Tensor&, bool) from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8059521Z #10 at::native::linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8060124Z #11 at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8063209Z #12 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&, at::Tensor&, at::Tensor&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&, at::Tensor&, at::Tensor&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8063481Z #13 at::_ops::linalg_eig_out::call(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8063650Z #14 at::native::linalg_eig(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8065673Z #15 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8065965Z #16 at::_ops::linalg_eig::redispatch(c10::DispatchKeySet, at::Tensor const&) from ??:0 2025-12-04T11:28:29.8066510Z #17 torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8068773Z #18 c10::impl::wrap_kernel_functor_unboxed_ (c10::DispatchKeySet, at::Tensor const&), &torch::autograd::VariableType::(anonymous namespace)::linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (c10::DispatchKeySet, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8068951Z #19 at::_ops::linalg_eig::call(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8069351Z #20 torch::autograd::THPVariable_linalg_eig(_object*, _object*, _object*) from python_linalg_functions.cpp:0 2025-12-04T11:28:29.8069673Z #21 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T11:28:29.8069971Z #22 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8070372Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8070749Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8071001Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8071381Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8071782Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8072203Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8072497Z #29 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8072750Z #30 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8073123Z #31 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8073551Z #32 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8073913Z #33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8074173Z #34 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8074567Z #35 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8074972Z #36 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8075343Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8075594Z #38 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8075964Z #39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8076360Z #40 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8076720Z #41 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8077124Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8077494Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8077899Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8078261Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8078658Z #46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8079024Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8079311Z #48 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8079569Z #49 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8079934Z #50 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8080276Z #51 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8080581Z #52 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8080870Z #53 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8081163Z #54 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8081566Z #55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8081931Z #56 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8082342Z #57 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8082707Z #58 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8082958Z #59 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8083332Z #60 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8083847Z #61 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8084216Z #62 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8084612Z #63 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8084974Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8085351Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8085649Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8085943Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8086232Z #68 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T11:28:29.8086481Z #69 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8086856Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8087252Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8087613Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8088018Z #73 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8088382Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8088640Z #75 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8089001Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8089401Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8089774Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8090169Z #79 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8090538Z #80 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8090786Z #81 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8091236Z #82 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8091641Z #83 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8092005Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8092403Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8092776Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8093117Z #87 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8093419Z #88 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8093702Z #89 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8093998Z #90 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8094402Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8094764Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8095021Z #93 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8095460Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8095858Z #95 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8096226Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8096619Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8097015Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8097356Z #99 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8097659Z #100 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8097984Z #101 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8098284Z #102 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8098697Z #103 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8099074Z #104 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8099480Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8099861Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8100271Z #107 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8100641Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8100906Z #109 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8101275Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8101691Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8102058Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8102460Z #113 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8102838Z #114 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8103186Z #115 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8103493Z #116 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8103785Z #117 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8104081Z #118 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8104669Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8105041Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8105447Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8105824Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8106228Z #123 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8106603Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8107010Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8107377Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8107882Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8108253Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8108547Z #129 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T11:28:29.8108846Z #130 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T11:28:29.8109147Z #131 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T11:28:29.8109431Z #132 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T11:28:29.8109774Z #133 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T11:28:29.8110139Z #134 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T11:28:29.8110422Z #135 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T11:28:29.8110690Z #136 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T11:28:29.8110953Z #137 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T11:28:29.8111142Z #138 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T11:28:29.8111239Z #139 _start from ??:0 2025-12-04T11:28:29.8111360Z #140 from ??:0 2025-12-04T11:28:29.8111368Z 2025-12-04T11:28:29.8111373Z 2025-12-04T11:28:29.8111583Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8112144Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8112152Z 2025-12-04T11:28:29.8112412Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8112627Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8113760Z /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5994: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:28:29.8113901Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8114156Z _______________ GPUTests.test_linalg_eig_stride_consistency_cuda _______________ 2025-12-04T11:28:29.8114271Z Traceback (most recent call last): 2025-12-04T11:28:29.8114802Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5999, in test_linalg_eig_stride_consistency 2025-12-04T11:28:29.8114900Z self.common( 2025-12-04T11:28:29.8115172Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.8115280Z return func(*args, **kwds) 2025-12-04T11:28:29.8115710Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.8115800Z check_model( 2025-12-04T11:28:29.8116206Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 497, in check_model 2025-12-04T11:28:29.8116351Z correct = ref_model(*ref_inputs, **ref_kwargs) 2025-12-04T11:28:29.8116700Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5994, in fn 2025-12-04T11:28:29.8116842Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8117595Z RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8118361Z Exception raised from apply_magma_eig at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp:2024 (most recent call first): 2025-12-04T11:28:29.8118466Z C++ CapturedTraceback: 2025-12-04T11:28:29.8119831Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T11:28:29.8120317Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T11:28:29.8120641Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T11:28:29.8121475Z #7 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool)::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const [clone .constprop.0] from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8121897Z #8 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T11:28:29.8122456Z #9 at::native::linalg_eig_out_info(at::Tensor const&, at::Tensor&, at::Tensor&, at::Tensor&, bool) from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8122732Z #10 at::native::linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8123331Z #11 at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8125719Z #12 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&, at::Tensor&, at::Tensor&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&, at::Tensor&, at::Tensor&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8126001Z #13 at::_ops::linalg_eig_out::call(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8126164Z #14 at::native::linalg_eig(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8128188Z #15 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8128476Z #16 at::_ops::linalg_eig::redispatch(c10::DispatchKeySet, at::Tensor const&) from ??:0 2025-12-04T11:28:29.8129017Z #17 torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8131411Z #18 c10::impl::wrap_kernel_functor_unboxed_ (c10::DispatchKeySet, at::Tensor const&), &torch::autograd::VariableType::(anonymous namespace)::linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (c10::DispatchKeySet, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8131585Z #19 at::_ops::linalg_eig::call(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8131983Z #20 torch::autograd::THPVariable_linalg_eig(_object*, _object*, _object*) from python_linalg_functions.cpp:0 2025-12-04T11:28:29.8132304Z #21 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T11:28:29.8132602Z #22 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8133078Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8133450Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8133702Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8134070Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8134502Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8134870Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8135154Z #29 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8135435Z #30 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8135805Z #31 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8136207Z #32 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8136571Z #33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8136826Z #34 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8137188Z #35 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8137593Z #36 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8137956Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8138207Z #38 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8138576Z #39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8138975Z #40 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8139344Z #41 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8139740Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8140104Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8140508Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8140869Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8141268Z #46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8141638Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8141925Z #48 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8142177Z #49 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8142540Z #50 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8142881Z #51 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8143187Z #52 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8143473Z #53 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8143772Z #54 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8144175Z #55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8144537Z #56 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8145012Z #57 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8145377Z #58 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8145634Z #59 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8145996Z #60 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8146428Z #61 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8146799Z #62 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8147229Z #63 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8147592Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8147943Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8148243Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8148536Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8148797Z #68 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T11:28:29.8149050Z #69 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8149422Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8149824Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8150197Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8150597Z #73 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8150959Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8151216Z #75 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8151653Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8152107Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8152470Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8152867Z #79 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8153243Z #80 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8153498Z #81 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8153857Z #82 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8154262Z #83 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8154626Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8155033Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8155397Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8155743Z #87 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8156047Z #88 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8156333Z #89 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8156704Z #90 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8157103Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8157462Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8157717Z #93 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8158106Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8158506Z #95 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8158896Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8159297Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8159667Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8160006Z #99 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8160314Z #100 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8160609Z #101 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8160912Z #102 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8161326Z #103 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8161699Z #104 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8162114Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8162502Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8162912Z #107 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8163295Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8163555Z #109 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8163930Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8164344Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8164716Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8165128Z #113 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8165501Z #114 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8165850Z #115 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8166164Z #116 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8166453Z #117 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8166757Z #118 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8167174Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8167544Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8167958Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8168385Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8168792Z #123 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8169170Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8169575Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8169981Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8170387Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8170760Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8171166Z #129 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T11:28:29.8171473Z #130 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T11:28:29.8171737Z #131 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T11:28:29.8172025Z #132 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T11:28:29.8172376Z #133 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T11:28:29.8172705Z #134 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T11:28:29.8172990Z #135 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T11:28:29.8173255Z #136 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T11:28:29.8173527Z #137 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T11:28:29.8173721Z #138 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T11:28:29.8173831Z #139 _start from ??:0 2025-12-04T11:28:29.8173945Z #140 from ??:0 2025-12-04T11:28:29.8173951Z 2025-12-04T11:28:29.8173960Z 2025-12-04T11:28:29.8174170Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8174740Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8174746Z 2025-12-04T11:28:29.8175009Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8175240Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8176364Z /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5994: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:28:29.8176509Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8176659Z =================================== FAILURES =================================== 2025-12-04T11:28:29.8176912Z _______________ GPUTests.test_linalg_eig_stride_consistency_cuda _______________ 2025-12-04T11:28:29.8177032Z Traceback (most recent call last): 2025-12-04T11:28:29.8177575Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5999, in test_linalg_eig_stride_consistency 2025-12-04T11:28:29.8177672Z self.common( 2025-12-04T11:28:29.8177956Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.8178067Z return func(*args, **kwds) 2025-12-04T11:28:29.8178497Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.8178595Z check_model( 2025-12-04T11:28:29.8178991Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 497, in check_model 2025-12-04T11:28:29.8179137Z correct = ref_model(*ref_inputs, **ref_kwargs) 2025-12-04T11:28:29.8179496Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5994, in fn 2025-12-04T11:28:29.8179703Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8180465Z RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8181224Z Exception raised from apply_magma_eig at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp:2024 (most recent call first): 2025-12-04T11:28:29.8181358Z C++ CapturedTraceback: 2025-12-04T11:28:29.8182676Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T11:28:29.8183205Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T11:28:29.8183546Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T11:28:29.8184345Z #7 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool)::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const [clone .constprop.0] from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8184749Z #8 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T11:28:29.8185186Z #9 at::native::linalg_eig_out_info(at::Tensor const&, at::Tensor&, at::Tensor&, at::Tensor&, bool) from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8185450Z #10 at::native::linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8186070Z #11 at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8188474Z #12 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&, at::Tensor&, at::Tensor&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&, at::Tensor&, at::Tensor&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8188757Z #13 at::_ops::linalg_eig_out::call(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8188921Z #14 at::native::linalg_eig(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8190931Z #15 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8191217Z #16 at::_ops::linalg_eig::redispatch(c10::DispatchKeySet, at::Tensor const&) from ??:0 2025-12-04T11:28:29.8191770Z #17 torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8194098Z #18 c10::impl::wrap_kernel_functor_unboxed_ (c10::DispatchKeySet, at::Tensor const&), &torch::autograd::VariableType::(anonymous namespace)::linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (c10::DispatchKeySet, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8194280Z #19 at::_ops::linalg_eig::call(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8194677Z #20 torch::autograd::THPVariable_linalg_eig(_object*, _object*, _object*) from python_linalg_functions.cpp:0 2025-12-04T11:28:29.8194995Z #21 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T11:28:29.8195330Z #22 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8195734Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8196131Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8196391Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8196766Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8197172Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8197539Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8197821Z #29 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8198083Z #30 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8198449Z #31 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8198861Z #32 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8199231Z #33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8199481Z #34 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8199858Z #35 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8200257Z #36 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8200627Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8200880Z #38 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8201243Z #39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8201647Z #40 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8202011Z #41 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8202413Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8202782Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8203177Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8203549Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8203945Z #46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8204311Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8204799Z #48 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8205054Z #49 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8205426Z #50 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8205867Z #51 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8206170Z #52 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8206465Z #53 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8206762Z #54 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8207205Z #55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8207577Z #56 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8207983Z #57 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8208395Z #58 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8208650Z #59 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8209015Z #60 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8209420Z #61 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8209786Z #62 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8210194Z #63 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8210558Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8210901Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8211280Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8211574Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8211850Z #68 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T11:28:29.8212101Z #69 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8212471Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8212882Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8213255Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8213655Z #73 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8214034Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8214286Z #75 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8214667Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8215070Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8215436Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8215841Z #79 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8216206Z #80 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8216465Z #81 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8216829Z #82 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8217229Z #83 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8217666Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8218065Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8218439Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8218776Z #87 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8219107Z #88 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8219403Z #89 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8219702Z #90 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8220134Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8220515Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8220770Z #93 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8221148Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8221548Z #95 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8221916Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8222328Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8222691Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8223043Z #99 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8223354Z #100 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8223649Z #101 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8223966Z #102 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8224379Z #103 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8224764Z #104 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8225177Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8225555Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8225971Z #107 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8226346Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8226609Z #109 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8226988Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8227399Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8227777Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8228185Z #113 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8228558Z #114 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8228917Z #115 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8229220Z #116 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8229585Z #117 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8229890Z #118 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8230296Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8230679Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8231142Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8231519Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8231924Z #123 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8232326Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8232744Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8233112Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8233519Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8233901Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8234191Z #129 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T11:28:29.8234504Z #130 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T11:28:29.8234772Z #131 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T11:28:29.8235057Z #132 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T11:28:29.8235412Z #133 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T11:28:29.8235739Z #134 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T11:28:29.8236033Z #135 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T11:28:29.8236298Z #136 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T11:28:29.8236561Z #137 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T11:28:29.8236760Z #138 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T11:28:29.8236854Z #139 _start from ??:0 2025-12-04T11:28:29.8236974Z #140 from ??:0 2025-12-04T11:28:29.8236980Z 2025-12-04T11:28:29.8236992Z 2025-12-04T11:28:29.8237202Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8237767Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8237772Z 2025-12-04T11:28:29.8238043Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8238256Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8239382Z /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5994: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:28:29.8239533Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8240349Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-c822f111d9d47441.xml - 2025-12-04T11:28:29.8240524Z =========================== short test summary info ============================ 2025-12-04T11:28:29.8241847Z FAILED [0.0051s] inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda - RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8242613Z Exception raised from apply_magma_eig at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp:2024 (most recent call first): 2025-12-04T11:28:29.8242716Z C++ CapturedTraceback: 2025-12-04T11:28:29.8244022Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T11:28:29.8244571Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T11:28:29.8244899Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T11:28:29.8245710Z #7 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool)::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const [clone .constprop.0] from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8246106Z #8 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T11:28:29.8246538Z #9 at::native::linalg_eig_out_info(at::Tensor const&, at::Tensor&, at::Tensor&, at::Tensor&, bool) from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8246815Z #10 at::native::linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8247416Z #11 at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8249829Z #12 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&, at::Tensor&, at::Tensor&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&, at::Tensor&, at::Tensor&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8250104Z #13 at::_ops::linalg_eig_out::call(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8250278Z #14 at::native::linalg_eig(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8252392Z #15 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8252695Z #16 at::_ops::linalg_eig::redispatch(c10::DispatchKeySet, at::Tensor const&) from ??:0 2025-12-04T11:28:29.8253234Z #17 torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8255518Z #18 c10::impl::wrap_kernel_functor_unboxed_ (c10::DispatchKeySet, at::Tensor const&), &torch::autograd::VariableType::(anonymous namespace)::linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (c10::DispatchKeySet, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8255758Z #19 at::_ops::linalg_eig::call(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8256161Z #20 torch::autograd::THPVariable_linalg_eig(_object*, _object*, _object*) from python_linalg_functions.cpp:0 2025-12-04T11:28:29.8256489Z #21 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T11:28:29.8256789Z #22 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8257236Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8257610Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8257865Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8258272Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8258678Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8259056Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8259343Z #29 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8259594Z #30 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8259969Z #31 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8260369Z #32 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8260737Z #33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8260999Z #34 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8261364Z #35 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8261775Z #36 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8262144Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8262399Z #38 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8262773Z #39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8263280Z #40 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8263723Z #41 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8264128Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8264494Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8264905Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8265268Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8265676Z #46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8266039Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8266329Z #48 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8266592Z #49 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8266958Z #50 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8267300Z #51 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8267676Z #52 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8267967Z #53 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8268270Z #54 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8268671Z #55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8269070Z #56 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8269476Z #57 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8269841Z #58 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8270131Z #59 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8270501Z #60 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8270900Z #61 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8271274Z #62 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8271670Z #63 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8272042Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8272386Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8272684Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8272984Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8273245Z #68 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T11:28:29.8273502Z #69 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8273904Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8274485Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8274863Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8275265Z #73 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8275627Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8275891Z #75 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8276250Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8276663Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8277025Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8277422Z #79 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8277794Z #80 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8278048Z #81 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8278413Z #82 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8278818Z #83 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8279183Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8279740Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8280108Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8280448Z #87 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8280755Z #88 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8281072Z #89 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8281376Z #90 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8281774Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8282181Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8282440Z #93 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8282807Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8283215Z #95 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8283579Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8283974Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8284348Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8284690Z #99 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8285003Z #100 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8285310Z #101 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8285618Z #102 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8286039Z #103 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8286410Z #104 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8286818Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8287211Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8287615Z #107 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8288003Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8288263Z #109 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8288639Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8289054Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8289428Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8289845Z #113 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8290218Z #114 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8290569Z #115 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8290882Z #116 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8291273Z #117 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8291646Z #118 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8292062Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8292440Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8292864Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8293267Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8293678Z #123 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8294064Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8294504Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8294991Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8295399Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8295769Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8296067Z #129 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T11:28:29.8296367Z #130 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T11:28:29.8296643Z #131 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T11:28:29.8296920Z #132 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T11:28:29.8297266Z #133 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T11:28:29.8297597Z #134 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T11:28:29.8297885Z #135 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T11:28:29.8298155Z #136 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T11:28:29.8298427Z #137 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T11:28:29.8298620Z #138 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T11:28:29.8298729Z #139 _start from ??:0 2025-12-04T11:28:29.8298844Z #140 from ??:0 2025-12-04T11:28:29.8298851Z 2025-12-04T11:28:29.8298856Z 2025-12-04T11:28:29.8299073Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8299645Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8299653Z 2025-12-04T11:28:29.8299912Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8300114Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.8300421Z ================= 1 failed, 311 deselected, 2 rerun in 15.78s ================== 2025-12-04T11:28:29.8300610Z Got exit code 1 2025-12-04T11:28:29.8300830Z Retrying single test... 2025-12-04T11:28:29.8301506Z W1204 11:21:41.421000 102317 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.8302148Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-6057ec771480d847.xml 2025-12-04T11:28:29.8302315Z ============================= test session starts ============================== 2025-12-04T11:28:29.8302661Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.8302774Z cachedir: .pytest_cache 2025-12-04T11:28:29.8303371Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.8303493Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.8303598Z configfile: pytest.ini 2025-12-04T11:28:29.8304134Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.8304362Z collecting ... collected 879 items / 311 deselected / 568 selected 2025-12-04T11:28:29.8305195Z stepcurrent: skipping 185 already run items. Running only test/inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8305312Z Running 1 items in this shard 2025-12-04T11:28:29.8305318Z 2025-12-04T11:28:29.8306628Z inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda <- test/inductor/test_torchinductor.py [W1204 11:21:43.174118470 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8306706Z 2025-12-04T11:28:29.8307230Z [W1204 11:21:59.940333920 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8307236Z 2025-12-04T11:28:29.8307376Z ('RERUN', {'yellow': True}) [15.8064s] [100%] 2025-12-04T11:28:29.8308514Z inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda <- test/inductor/test_torchinductor.py [W1204 11:21:59.985454147 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8308522Z 2025-12-04T11:28:29.8309042Z [W1204 11:21:59.986261379 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8309050Z 2025-12-04T11:28:29.8309173Z ('RERUN', {'yellow': True}) [0.0057s] [100%] 2025-12-04T11:28:29.8310324Z inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda <- test/inductor/test_torchinductor.py [W1204 11:21:59.992009986 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8310342Z 2025-12-04T11:28:29.8310846Z [W1204 11:21:59.992796268 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:28:29.8310851Z 2025-12-04T11:28:29.8310947Z FAILED [0.0048s] [100%] 2025-12-04T11:28:29.8310955Z 2025-12-04T11:28:29.8311103Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.8311347Z _______________ GPUTests.test_linalg_eig_stride_consistency_cuda _______________ 2025-12-04T11:28:29.8311465Z Traceback (most recent call last): 2025-12-04T11:28:29.8312012Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5999, in test_linalg_eig_stride_consistency 2025-12-04T11:28:29.8312108Z self.common( 2025-12-04T11:28:29.8312399Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.8312510Z return func(*args, **kwds) 2025-12-04T11:28:29.8312935Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.8313034Z check_model( 2025-12-04T11:28:29.8313428Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 497, in check_model 2025-12-04T11:28:29.8313573Z correct = ref_model(*ref_inputs, **ref_kwargs) 2025-12-04T11:28:29.8313935Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5994, in fn 2025-12-04T11:28:29.8314075Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8314832Z RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8315587Z Exception raised from apply_magma_eig at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp:2024 (most recent call first): 2025-12-04T11:28:29.8315768Z C++ CapturedTraceback: 2025-12-04T11:28:29.8317088Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T11:28:29.8317606Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T11:28:29.8317946Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T11:28:29.8318746Z #7 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool)::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const [clone .constprop.0] from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8319187Z #8 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T11:28:29.8319620Z #9 at::native::linalg_eig_out_info(at::Tensor const&, at::Tensor&, at::Tensor&, at::Tensor&, bool) from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8319897Z #10 at::native::linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8320517Z #11 at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8322918Z #12 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&, at::Tensor&, at::Tensor&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&, at::Tensor&, at::Tensor&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8323207Z #13 at::_ops::linalg_eig_out::call(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8323370Z #14 at::native::linalg_eig(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8325402Z #15 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8325693Z #16 at::_ops::linalg_eig::redispatch(c10::DispatchKeySet, at::Tensor const&) from ??:0 2025-12-04T11:28:29.8326249Z #17 torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8328526Z #18 c10::impl::wrap_kernel_functor_unboxed_ (c10::DispatchKeySet, at::Tensor const&), &torch::autograd::VariableType::(anonymous namespace)::linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (c10::DispatchKeySet, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8328714Z #19 at::_ops::linalg_eig::call(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8329121Z #20 torch::autograd::THPVariable_linalg_eig(_object*, _object*, _object*) from python_linalg_functions.cpp:0 2025-12-04T11:28:29.8329516Z #21 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T11:28:29.8329825Z #22 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8330231Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8330602Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8330898Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8331362Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8331776Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8332181Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8332468Z #29 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8332736Z #30 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8333107Z #31 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8333521Z #32 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8333891Z #33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8334146Z #34 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8334523Z #35 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8334927Z #36 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8335298Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8335564Z #38 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8335929Z #39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8336343Z #40 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8336709Z #41 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8337108Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8337480Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8337880Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8338254Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8338657Z #46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8339021Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8339321Z #48 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8339577Z #49 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8339952Z #50 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8340296Z #51 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8340591Z #52 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8340895Z #53 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8341194Z #54 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8341648Z #55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8342031Z #56 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8342428Z #57 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8342807Z #58 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8343092Z #59 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8343454Z #60 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8343894Z #61 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8344257Z #62 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8344671Z #63 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8345036Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8345378Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8345687Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8345976Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8346252Z #68 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T11:28:29.8346503Z #69 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8346869Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8347279Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8347647Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8348043Z #73 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8348423Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8348678Z #75 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8349054Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8349450Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8349816Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8350222Z #79 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8350590Z #80 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8350853Z #81 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8351220Z #82 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8351618Z #83 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8351993Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8352393Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8352768Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8353112Z #87 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8353465Z #88 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8353764Z #89 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8354060Z #90 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8354458Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8354864Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8355114Z #93 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8355490Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8355919Z #95 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8356285Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8356697Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8357152Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8357508Z #99 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8357820Z #100 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8358113Z #101 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8358426Z #102 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8358837Z #103 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8359214Z #104 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8359635Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8360008Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8360430Z #107 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8360805Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8361064Z #109 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8361451Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8361859Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8362247Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8362655Z #113 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8363028Z #114 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8363395Z #115 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8363699Z #116 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8364002Z #117 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8364304Z #118 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8364719Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8365104Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8365588Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8365961Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8366378Z #123 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8366750Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8367202Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8367575Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8368030Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8368415Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8368705Z #129 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T11:28:29.8369019Z #130 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T11:28:29.8369284Z #131 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T11:28:29.8369565Z #132 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T11:28:29.8369927Z #133 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T11:28:29.8370250Z #134 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T11:28:29.8370549Z #135 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T11:28:29.8370814Z #136 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T11:28:29.8371159Z #137 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T11:28:29.8371371Z #138 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T11:28:29.8371469Z #139 _start from ??:0 2025-12-04T11:28:29.8371586Z #140 from ??:0 2025-12-04T11:28:29.8371592Z 2025-12-04T11:28:29.8371597Z 2025-12-04T11:28:29.8371821Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8372384Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8372392Z 2025-12-04T11:28:29.8372668Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8372982Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8374119Z /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5994: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:28:29.8374278Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8374530Z _______________ GPUTests.test_linalg_eig_stride_consistency_cuda _______________ 2025-12-04T11:28:29.8374662Z Traceback (most recent call last): 2025-12-04T11:28:29.8375197Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5999, in test_linalg_eig_stride_consistency 2025-12-04T11:28:29.8375297Z self.common( 2025-12-04T11:28:29.8375586Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.8375695Z return func(*args, **kwds) 2025-12-04T11:28:29.8376122Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.8376232Z check_model( 2025-12-04T11:28:29.8376627Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 497, in check_model 2025-12-04T11:28:29.8376787Z correct = ref_model(*ref_inputs, **ref_kwargs) 2025-12-04T11:28:29.8377211Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5994, in fn 2025-12-04T11:28:29.8377354Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8378126Z RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8378883Z Exception raised from apply_magma_eig at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp:2024 (most recent call first): 2025-12-04T11:28:29.8379028Z C++ CapturedTraceback: 2025-12-04T11:28:29.8380341Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T11:28:29.8380862Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T11:28:29.8381200Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T11:28:29.8382005Z #7 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool)::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const [clone .constprop.0] from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8382416Z #8 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T11:28:29.8382845Z #9 at::native::linalg_eig_out_info(at::Tensor const&, at::Tensor&, at::Tensor&, at::Tensor&, bool) from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8383116Z #10 at::native::linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8383736Z #11 at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8386124Z #12 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&, at::Tensor&, at::Tensor&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&, at::Tensor&, at::Tensor&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8386417Z #13 at::_ops::linalg_eig_out::call(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8386578Z #14 at::native::linalg_eig(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8388601Z #15 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8388886Z #16 at::_ops::linalg_eig::redispatch(c10::DispatchKeySet, at::Tensor const&) from ??:0 2025-12-04T11:28:29.8389436Z #17 torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8391758Z #18 c10::impl::wrap_kernel_functor_unboxed_ (c10::DispatchKeySet, at::Tensor const&), &torch::autograd::VariableType::(anonymous namespace)::linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (c10::DispatchKeySet, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8391943Z #19 at::_ops::linalg_eig::call(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8392344Z #20 torch::autograd::THPVariable_linalg_eig(_object*, _object*, _object*) from python_linalg_functions.cpp:0 2025-12-04T11:28:29.8392697Z #21 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T11:28:29.8393004Z #22 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8393410Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8393815Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8394076Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8394446Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8394856Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8395223Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8395523Z #29 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8395780Z #30 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8396148Z #31 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8396557Z #32 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8396926Z #33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8397177Z #34 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8397551Z #35 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8397955Z #36 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8398327Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8398587Z #38 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8398954Z #39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8399366Z #40 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8399735Z #41 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8402846Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8403268Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8403678Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8404062Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8404647Z #46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8405021Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8405330Z #48 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8405586Z #49 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8406031Z #50 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8406421Z #51 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8406727Z #52 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8407018Z #53 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8407379Z #54 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8407787Z #55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8408167Z #56 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8408617Z #57 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8408990Z #58 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8409266Z #59 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8409639Z #60 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8410050Z #61 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8410425Z #62 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8410828Z #63 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8411282Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8411635Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8411949Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8412247Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8412515Z #68 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T11:28:29.8412782Z #69 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8413152Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8413561Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8413939Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8414341Z #73 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8414723Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8414986Z #75 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8415430Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8415849Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8416218Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8416636Z #79 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8417006Z #80 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8417260Z #81 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8417638Z #82 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8418072Z #83 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8418451Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8418854Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8419217Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8419626Z #87 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8419927Z #88 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8420213Z #89 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8420558Z #90 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8420959Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8421338Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8421591Z #93 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8421954Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8422363Z #95 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8422731Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8423136Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8423505Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8423849Z #99 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8424169Z #100 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8424467Z #101 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8424777Z #102 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8425190Z #103 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8425571Z #104 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8425988Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8426366Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8426777Z #107 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8427160Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8427462Z #109 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8427847Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8428257Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8428629Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8429045Z #113 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8429415Z #114 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8429779Z #115 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8430117Z #116 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8430418Z #117 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8430733Z #118 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8431142Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8431555Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8431968Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8432341Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8432789Z #123 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8433169Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8433581Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8433966Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8434372Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8434761Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8435050Z #129 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T11:28:29.8435352Z #130 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T11:28:29.8435629Z #131 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T11:28:29.8435907Z #132 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T11:28:29.8436272Z #133 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T11:28:29.8436598Z #134 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T11:28:29.8436885Z #135 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T11:28:29.8437162Z #136 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T11:28:29.8437424Z #137 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T11:28:29.8437616Z #138 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T11:28:29.8437726Z #139 _start from ??:0 2025-12-04T11:28:29.8437842Z #140 from ??:0 2025-12-04T11:28:29.8437851Z 2025-12-04T11:28:29.8437856Z 2025-12-04T11:28:29.8438078Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8438645Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8438650Z 2025-12-04T11:28:29.8438948Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8439182Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8440307Z /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5994: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:28:29.8440462Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8440601Z =================================== FAILURES =================================== 2025-12-04T11:28:29.8440851Z _______________ GPUTests.test_linalg_eig_stride_consistency_cuda _______________ 2025-12-04T11:28:29.8440985Z Traceback (most recent call last): 2025-12-04T11:28:29.8441552Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5999, in test_linalg_eig_stride_consistency 2025-12-04T11:28:29.8441661Z self.common( 2025-12-04T11:28:29.8441941Z File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner 2025-12-04T11:28:29.8442053Z return func(*args, **kwds) 2025-12-04T11:28:29.8442489Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 692, in check_model_gpu 2025-12-04T11:28:29.8442609Z check_model( 2025-12-04T11:28:29.8443007Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 497, in check_model 2025-12-04T11:28:29.8443169Z correct = ref_model(*ref_inputs, **ref_kwargs) 2025-12-04T11:28:29.8443522Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 5994, in fn 2025-12-04T11:28:29.8443701Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8444463Z RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8445229Z Exception raised from apply_magma_eig at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp:2024 (most recent call first): 2025-12-04T11:28:29.8445348Z C++ CapturedTraceback: 2025-12-04T11:28:29.8446667Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T11:28:29.8447165Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T11:28:29.8447499Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T11:28:29.8448309Z #7 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool)::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const [clone .constprop.0] from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8448718Z #8 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T11:28:29.8449152Z #9 at::native::linalg_eig_out_info(at::Tensor const&, at::Tensor&, at::Tensor&, at::Tensor&, bool) from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8449436Z #10 at::native::linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8450038Z #11 at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8452594Z #12 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&, at::Tensor&, at::Tensor&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&, at::Tensor&, at::Tensor&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8452877Z #13 at::_ops::linalg_eig_out::call(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8453042Z #14 at::native::linalg_eig(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8455096Z #15 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8455385Z #16 at::_ops::linalg_eig::redispatch(c10::DispatchKeySet, at::Tensor const&) from ??:0 2025-12-04T11:28:29.8455939Z #17 torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8458218Z #18 c10::impl::wrap_kernel_functor_unboxed_ (c10::DispatchKeySet, at::Tensor const&), &torch::autograd::VariableType::(anonymous namespace)::linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (c10::DispatchKeySet, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8458458Z #19 at::_ops::linalg_eig::call(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8458868Z #20 torch::autograd::THPVariable_linalg_eig(_object*, _object*, _object*) from python_linalg_functions.cpp:0 2025-12-04T11:28:29.8459196Z #21 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T11:28:29.8459496Z #22 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8459901Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8460285Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8460542Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8460924Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8461330Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8461702Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8462000Z #29 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8462258Z #30 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8462627Z #31 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8463039Z #32 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8463404Z #33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8463668Z #34 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8464037Z #35 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8464439Z #36 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8464840Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8465095Z #38 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8465468Z #39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8465871Z #40 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8466240Z #41 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8466649Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8467016Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8467470Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8467841Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8468249Z #46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8468704Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8469027Z #48 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8469279Z #49 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8469655Z #50 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8470108Z #51 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8470420Z #52 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8470715Z #53 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8471016Z #54 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8471429Z #55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8471795Z #56 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8472215Z #57 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8472585Z #58 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8472841Z #59 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8473230Z #60 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8473635Z #61 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8474014Z #62 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8474415Z #63 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8474782Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8475143Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8475447Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8475737Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8476014Z #68 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T11:28:29.8476267Z #69 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8476685Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8477092Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8477460Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8477880Z #73 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8478247Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8478516Z #75 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8478884Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8479283Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8479693Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8480098Z #79 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8480468Z #80 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8480737Z #81 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8481135Z #82 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8481548Z #83 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8481950Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8482350Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8482731Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8483082Z #87 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8483390Z #88 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8483680Z #89 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8483982Z #90 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8484394Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8484756Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8485013Z #93 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8485377Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8485774Z #95 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8486141Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8486537Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8486910Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8487263Z #99 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8487576Z #100 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8487885Z #101 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8488192Z #102 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8488644Z #103 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8489029Z #104 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8489443Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8489828Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8490238Z #107 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8490610Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8490881Z #109 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8491334Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8491785Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8492165Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8492576Z #113 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8492965Z #114 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8493351Z #115 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8493661Z #116 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8493998Z #117 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8494308Z #118 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8494725Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8495102Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8495508Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8495893Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8496308Z #123 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8496688Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8497097Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8497470Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8497890Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8498271Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8498569Z #129 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T11:28:29.8498875Z #130 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T11:28:29.8499142Z #131 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T11:28:29.8499437Z #132 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T11:28:29.8499789Z #133 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T11:28:29.8500115Z #134 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T11:28:29.8500409Z #135 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T11:28:29.8500677Z #136 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T11:28:29.8500978Z #137 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T11:28:29.8501174Z #138 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T11:28:29.8501274Z #139 _start from ??:0 2025-12-04T11:28:29.8501402Z #140 from ??:0 2025-12-04T11:28:29.8501410Z 2025-12-04T11:28:29.8501416Z 2025-12-04T11:28:29.8501633Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8502202Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8502210Z 2025-12-04T11:28:29.8502477Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8502696Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8503868Z /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:5994: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:28:29.8504015Z eigenvals, eigenvecs = torch.linalg.eig(x) 2025-12-04T11:28:29.8505020Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-6057ec771480d847.xml - 2025-12-04T11:28:29.8505262Z =========================== short test summary info ============================ 2025-12-04T11:28:29.8506535Z FAILED [0.0048s] inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda - RuntimeError: Calling torch.linalg.eig with MAGMA requires compiling PyTorch with MAGMA. Either transfer the tensor to the CPU before calling torch.linalg.eig or use cuSolver. 2025-12-04T11:28:29.8507351Z Exception raised from apply_magma_eig at /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp:2024 (most recent call first): 2025-12-04T11:28:29.8507462Z C++ CapturedTraceback: 2025-12-04T11:28:29.8508785Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T11:28:29.8509272Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T11:28:29.8509614Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T11:28:29.8510421Z #7 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool)::{lambda()#1}::operator()() const::{lambda()#1}::operator()() const [clone .constprop.0] from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8510823Z #8 at::native::lazy_linalg::linalg_eig_magma(at::Tensor&, at::Tensor&, at::Tensor&, at::Tensor const&, bool) from ??:0 2025-12-04T11:28:29.8511272Z #9 at::native::linalg_eig_out_info(at::Tensor const&, at::Tensor&, at::Tensor&, at::Tensor&, bool) from BatchLinearAlgebra.cpp:0 2025-12-04T11:28:29.8511546Z #10 at::native::linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8512161Z #11 at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out(at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8514615Z #12 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&, at::Tensor&, at::Tensor&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA_out_linalg_eig_out>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&, at::Tensor&, at::Tensor&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor&, at::Tensor&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8514910Z #13 at::_ops::linalg_eig_out::call(at::Tensor const&, at::Tensor&, at::Tensor&) from ??:0 2025-12-04T11:28:29.8515072Z #14 at::native::linalg_eig(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8517089Z #15 c10::impl::wrap_kernel_functor_unboxed_ (at::Tensor const&), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CUDA__linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from RegisterCUDA_0.cpp:0 2025-12-04T11:28:29.8517429Z #16 at::_ops::linalg_eig::redispatch(c10::DispatchKeySet, at::Tensor const&) from ??:0 2025-12-04T11:28:29.8517972Z #17 torch::autograd::VariableType::(anonymous namespace)::linalg_eig(c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8520256Z #18 c10::impl::wrap_kernel_functor_unboxed_ (c10::DispatchKeySet, at::Tensor const&), &torch::autograd::VariableType::(anonymous namespace)::linalg_eig>, std::tuple, c10::guts::typelist::typelist >, std::tuple (c10::DispatchKeySet, at::Tensor const&)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&) from VariableType_2.cpp:0 2025-12-04T11:28:29.8520487Z #19 at::_ops::linalg_eig::call(at::Tensor const&) from ??:0 2025-12-04T11:28:29.8520898Z #20 torch::autograd::THPVariable_linalg_eig(_object*, _object*, _object*) from python_linalg_functions.cpp:0 2025-12-04T11:28:29.8521218Z #21 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T11:28:29.8521520Z #22 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8521938Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8522309Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8522585Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8522956Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8523362Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8523745Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8524034Z #29 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8524303Z #30 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8524670Z #31 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8525076Z #32 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8525459Z #33 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8525713Z #34 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8526089Z #35 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8526492Z #36 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8526865Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8527160Z #38 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8527528Z #39 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8527932Z #40 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8528313Z #41 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8528718Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8529099Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8529501Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8529894Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8530311Z #46 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8530680Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8530980Z #48 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T11:28:29.8531348Z #49 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8531718Z #50 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8532075Z #51 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8532411Z #52 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8532718Z #53 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8533020Z #54 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8533424Z #55 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8533807Z #56 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8534211Z #57 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8534582Z #58 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8534845Z #59 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8535213Z #60 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8535629Z #61 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8535999Z #62 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8536406Z #63 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8536785Z #64 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8537130Z #65 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8537446Z #66 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8537733Z #67 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8538002Z #68 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T11:28:29.8538273Z #69 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8538639Z #70 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8539054Z #71 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8539460Z #72 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8539864Z #73 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8540240Z #74 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8540498Z #75 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8540865Z #76 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8541279Z #77 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8541642Z #78 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8542082Z #79 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8542454Z #80 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8542708Z #81 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8543084Z #82 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8543518Z #83 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8543894Z #84 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8544294Z #85 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8544692Z #86 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8545050Z #87 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8545352Z #88 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8545656Z #89 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8545957Z #90 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8546365Z #91 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8546744Z #92 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8547001Z #93 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8547373Z #94 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8547789Z #95 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8548156Z #96 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8548571Z #97 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8548939Z #98 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8549286Z #99 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8549607Z #100 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8549902Z #101 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8550226Z #102 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8550638Z #103 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8551019Z #104 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8551476Z #105 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8551856Z #106 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8552270Z #107 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8552664Z #108 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8552926Z #109 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T11:28:29.8553316Z #110 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8553726Z #111 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8554129Z #112 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8554550Z #113 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8554925Z #114 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8555292Z #115 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T11:28:29.8555630Z #116 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T11:28:29.8555931Z #117 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T11:28:29.8556247Z #118 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T11:28:29.8556705Z #119 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T11:28:29.8557095Z #120 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8557509Z #121 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8557886Z #122 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8558307Z #123 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8558683Z #124 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8559103Z #125 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8559482Z #126 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8559897Z #127 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T11:28:29.8560288Z #128 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T11:28:29.8560581Z #129 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T11:28:29.8560884Z #130 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T11:28:29.8561160Z #131 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T11:28:29.8561443Z #132 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T11:28:29.8561802Z #133 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T11:28:29.8562126Z #134 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T11:28:29.8562417Z #135 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T11:28:29.8562695Z #136 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T11:28:29.8562963Z #137 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T11:28:29.8563189Z #138 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T11:28:29.8563297Z #139 _start from ??:0 2025-12-04T11:28:29.8563417Z #140 from ??:0 2025-12-04T11:28:29.8563423Z 2025-12-04T11:28:29.8563428Z 2025-12-04T11:28:29.8563653Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8564219Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8564225Z 2025-12-04T11:28:29.8564489Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8564677Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.8564879Z ================= 1 failed, 311 deselected, 2 rerun in 15.90s ================== 2025-12-04T11:28:29.8564984Z Got exit code 1 2025-12-04T11:28:29.8565498Z FAILED CONSISTENTLY: test/inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda 2025-12-04T11:28:29.8565909Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:28:29.8566362Z W1204 11:22:09.587000 102438 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.8567035Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-8e2bfe2670bb2578.xml 2025-12-04T11:28:29.8567212Z ============================= test session starts ============================== 2025-12-04T11:28:29.8567563Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.8567703Z cachedir: .pytest_cache 2025-12-04T11:28:29.8568234Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.8568358Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.8568467Z configfile: pytest.ini 2025-12-04T11:28:29.8569024Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.8569250Z collecting ... collected 879 items / 186 deselected / 693 selected 2025-12-04T11:28:29.8569402Z stepcurrent: skipping 186 already run items. 2025-12-04T11:28:29.8569513Z Running 126 items in this shard 2025-12-04T11:28:29.8569518Z 2025-12-04T11:28:29.8570508Z inductor/test_compile_subprocess.py::GPUTests::test_linear1_cuda <- test/inductor/test_torchinductor.py W1204 11:22:28.000000 102651 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.8570622Z PASSED [19.6387s] [ 0%] 2025-12-04T11:28:29.8571749Z inductor/test_compile_subprocess.py::GPUTests::test_linspace1_cuda <- test/inductor/test_torchinductor.py W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8572224Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8573121Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8573507Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8574361Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8574949Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8575787Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8576195Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8577041Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8577595Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8578458Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8578916Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8579722Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8580289Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8581096Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8581659Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8582466Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8583018Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.8583820Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.8584393Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.8585221Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.8585851Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8586693Z W1204 11:22:31.253000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.8587201Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8587659Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8588569Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8588953Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8589836Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8590414Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8591215Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8591618Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8592491Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8593057Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8593880Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8594366Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8595173Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8595726Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8596547Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8597069Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8597880Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8598433Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.8599236Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.8599809Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.8600623Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.8601260Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8602088Z W1204 11:22:31.844000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.8602200Z PASSED [0.8953s] [ 1%] 2025-12-04T11:28:29.8603277Z inductor/test_compile_subprocess.py::GPUTests::test_linspace2_cuda <- test/inductor/test_torchinductor.py W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8603748Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8604884Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8605274Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8606135Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8606784Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8607591Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8607997Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8608908Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8609458Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8610323Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8610784Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8611692Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8612230Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8613030Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8613555Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8614373Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8614923Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.8615728Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.8616305Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.8617131Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.8617830Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8618744Z W1204 11:22:32.261000 102438 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.8618860Z PASSED [0.6048s] [ 2%] 2025-12-04T11:28:29.8619573Z inductor/test_compile_subprocess.py::GPUTests::test_linspace4_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (requires multiple cuda devices) [ 3%] 2025-12-04T11:28:29.8620416Z inductor/test_compile_subprocess.py::GPUTests::test_list_clearing_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 3%] 2025-12-04T11:28:29.8621211Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.5995s] [ 4%] 2025-12-04T11:28:29.8621988Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.4850s] [ 4%] 2025-12-04T11:28:29.8622648Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda <- test/inductor/test_torchinductor.py FAILED [0.4819s] [ 4%] 2025-12-04T11:28:29.8622687Z 2025-12-04T11:28:29.8622828Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.8623105Z ___________ GPUTests.test_lite_regional_compile_flex_attention_cuda ____________ 2025-12-04T11:28:29.8623258Z Traceback (most recent call last): 2025-12-04T11:28:29.8623775Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T11:28:29.8623879Z return value(self) 2025-12-04T11:28:29.8624454Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in test_lite_regional_compile_flex_attention 2025-12-04T11:28:29.8624629Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8625142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:28:29.8625281Z return run_and_get_code(run_with_backward) 2025-12-04T11:28:29.8625766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:28:29.8625875Z result = fn(*args, **kwargs) 2025-12-04T11:28:29.8626364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2426, in run_with_backward 2025-12-04T11:28:29.8626463Z result = fn() 2025-12-04T11:28:29.8626854Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in 2025-12-04T11:28:29.8627026Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8627502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.8627745Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.8628265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.8628455Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.8628971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.8629115Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.8629648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.8629976Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.8630550Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.8630763Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.8631268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.8631370Z return f.result() 2025-12-04T11:28:29.8631734Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.8631846Z return self.__get_result() 2025-12-04T11:28:29.8632234Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.8632358Z raise self._exception 2025-12-04T11:28:29.8632728Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8632735Z 2025-12-04T11:28:29.8632841Z Name= 2025-12-04T11:28:29.8632990Z Traceback (most recent call last): 2025-12-04T11:28:29.8633532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8633644Z result = job() 2025-12-04T11:28:29.8634218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8634426Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8634925Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8635125Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8635683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8635808Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8636355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8636485Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8636963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8637110Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8637281Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8637286Z 2025-12-04T11:28:29.8637292Z 2025-12-04T11:28:29.8638004Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8638023Z 2025-12-04T11:28:29.8638027Z 2025-12-04T11:28:29.8638242Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8638842Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8638847Z 2025-12-04T11:28:29.8639225Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8639644Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8639840Z unimplemented [] 2025-12-04T11:28:29.8640068Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8640327Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8640462Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8640681Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8641416Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8641707Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8641978Z ___________ GPUTests.test_lite_regional_compile_flex_attention_cuda ____________ 2025-12-04T11:28:29.8642149Z Traceback (most recent call last): 2025-12-04T11:28:29.8642549Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T11:28:29.8642652Z return value(self) 2025-12-04T11:28:29.8643229Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in test_lite_regional_compile_flex_attention 2025-12-04T11:28:29.8643396Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8643904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:28:29.8644055Z return run_and_get_code(run_with_backward) 2025-12-04T11:28:29.8644527Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:28:29.8644651Z result = fn(*args, **kwargs) 2025-12-04T11:28:29.8645157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2426, in run_with_backward 2025-12-04T11:28:29.8645254Z result = fn() 2025-12-04T11:28:29.8645654Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in 2025-12-04T11:28:29.8645813Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8646287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.8646575Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.8647082Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.8647314Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.8647821Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.8647964Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.8648509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.8648825Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.8649365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.8649572Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.8650074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.8650185Z return f.result() 2025-12-04T11:28:29.8650536Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.8650643Z return self.__get_result() 2025-12-04T11:28:29.8651138Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.8651250Z raise self._exception 2025-12-04T11:28:29.8651636Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8651642Z 2025-12-04T11:28:29.8651738Z Name= 2025-12-04T11:28:29.8651853Z Traceback (most recent call last): 2025-12-04T11:28:29.8652401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8652495Z result = job() 2025-12-04T11:28:29.8653068Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8653254Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8653754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8653962Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8654512Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8654636Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8655190Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8655307Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8655796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8655932Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8656098Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8656103Z 2025-12-04T11:28:29.8656109Z 2025-12-04T11:28:29.8656886Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8656895Z 2025-12-04T11:28:29.8656900Z 2025-12-04T11:28:29.8657113Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8657711Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8657746Z 2025-12-04T11:28:29.8658014Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8658231Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8658341Z unimplemented [] 2025-12-04T11:28:29.8658451Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8658715Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8658832Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8659042Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8659791Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8660066Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8660273Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8660385Z unimplemented [] 2025-12-04T11:28:29.8660493Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8660719Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8660835Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8661044Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8661790Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8662066Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8662204Z =================================== FAILURES =================================== 2025-12-04T11:28:29.8662480Z ___________ GPUTests.test_lite_regional_compile_flex_attention_cuda ____________ 2025-12-04T11:28:29.8662600Z Traceback (most recent call last): 2025-12-04T11:28:29.8663009Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T11:28:29.8663110Z return value(self) 2025-12-04T11:28:29.8663680Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in test_lite_regional_compile_flex_attention 2025-12-04T11:28:29.8663853Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8664361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:28:29.8664510Z return run_and_get_code(run_with_backward) 2025-12-04T11:28:29.8665017Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:28:29.8665126Z result = fn(*args, **kwargs) 2025-12-04T11:28:29.8665615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2426, in run_with_backward 2025-12-04T11:28:29.8665710Z result = fn() 2025-12-04T11:28:29.8666106Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in 2025-12-04T11:28:29.8666273Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8666750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.8667006Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.8667510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.8667727Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.8668244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.8668385Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.8668917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.8669340Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.8669870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.8670112Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.8670613Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.8670714Z return f.result() 2025-12-04T11:28:29.8671083Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.8671196Z return self.__get_result() 2025-12-04T11:28:29.8671592Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.8671698Z raise self._exception 2025-12-04T11:28:29.8672075Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8672080Z 2025-12-04T11:28:29.8672189Z Name= 2025-12-04T11:28:29.8672308Z Traceback (most recent call last): 2025-12-04T11:28:29.8672840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8672949Z result = job() 2025-12-04T11:28:29.8673525Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8673709Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8674209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8674407Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8674935Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8675056Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8675612Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8675731Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8676211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8676363Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8676529Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8676535Z 2025-12-04T11:28:29.8676568Z 2025-12-04T11:28:29.8677288Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8677306Z 2025-12-04T11:28:29.8677310Z 2025-12-04T11:28:29.8677524Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8678120Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8678126Z 2025-12-04T11:28:29.8678402Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8678621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8678737Z unimplemented [] 2025-12-04T11:28:29.8678851Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8679092Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8679222Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8679432Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8680162Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8680471Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8680679Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8680785Z unimplemented [] 2025-12-04T11:28:29.8680925Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8681142Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8681266Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8681478Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8682212Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8682493Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8682702Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8682813Z unimplemented [] 2025-12-04T11:28:29.8682927Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8683143Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8683265Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8683477Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8684205Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8684484Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8685308Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-8e2bfe2670bb2578.xml - 2025-12-04T11:28:29.8685480Z =========================== short test summary info ============================ 2025-12-04T11:28:29.8686392Z FAILED [0.4819s] inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda - torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8686397Z 2025-12-04T11:28:29.8686493Z Name= 2025-12-04T11:28:29.8686626Z Traceback (most recent call last): 2025-12-04T11:28:29.8687173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8687274Z result = job() 2025-12-04T11:28:29.8701136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8701404Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8701943Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8702149Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8702680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8702814Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8703363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8703506Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8704047Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8704196Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8704378Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8704386Z 2025-12-04T11:28:29.8704391Z 2025-12-04T11:28:29.8705280Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8705359Z 2025-12-04T11:28:29.8705364Z 2025-12-04T11:28:29.8705591Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8706225Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8706277Z 2025-12-04T11:28:29.8706547Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8706738Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.8706982Z ======= 1 failed, 3 passed, 2 skipped, 186 deselected, 2 rerun in 22.80s ======= 2025-12-04T11:28:29.8707088Z Got exit code 1 2025-12-04T11:28:29.8707195Z Retrying single test... 2025-12-04T11:28:29.8707650Z W1204 11:22:49.859000 102836 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.8708301Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-ed0f337e0f70d336.xml 2025-12-04T11:28:29.8708466Z ============================= test session starts ============================== 2025-12-04T11:28:29.8708826Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.8708940Z cachedir: .pytest_cache 2025-12-04T11:28:29.8709457Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.8709590Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.8709698Z configfile: pytest.ini 2025-12-04T11:28:29.8710238Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.8710473Z collecting ... collected 879 items / 311 deselected / 568 selected 2025-12-04T11:28:29.8711159Z stepcurrent: skipping 191 already run items. Running only test/inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8711289Z Running 1 items in this shard 2025-12-04T11:28:29.8711295Z 2025-12-04T11:28:29.8712066Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [17.3528s] [100%] 2025-12-04T11:28:29.8712826Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.5945s] [100%] 2025-12-04T11:28:29.8713547Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda <- test/inductor/test_torchinductor.py FAILED [0.4655s] [100%] 2025-12-04T11:28:29.8713553Z 2025-12-04T11:28:29.8713694Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.8713966Z ___________ GPUTests.test_lite_regional_compile_flex_attention_cuda ____________ 2025-12-04T11:28:29.8714089Z Traceback (most recent call last): 2025-12-04T11:28:29.8714487Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T11:28:29.8714594Z return value(self) 2025-12-04T11:28:29.8715163Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in test_lite_regional_compile_flex_attention 2025-12-04T11:28:29.8715332Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8715883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:28:29.8716025Z return run_and_get_code(run_with_backward) 2025-12-04T11:28:29.8716508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:28:29.8716617Z result = fn(*args, **kwargs) 2025-12-04T11:28:29.8717096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2426, in run_with_backward 2025-12-04T11:28:29.8717238Z result = fn() 2025-12-04T11:28:29.8717630Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in 2025-12-04T11:28:29.8717804Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8718316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.8718562Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.8719120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.8719321Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.8720061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.8723874Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.8724445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.8724774Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.8725312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.8725513Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.8726031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.8726131Z return f.result() 2025-12-04T11:28:29.8726488Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.8726596Z return self.__get_result() 2025-12-04T11:28:29.8726981Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.8727091Z raise self._exception 2025-12-04T11:28:29.8727463Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8727470Z 2025-12-04T11:28:29.8727567Z Name= 2025-12-04T11:28:29.8727688Z Traceback (most recent call last): 2025-12-04T11:28:29.8728237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8728359Z result = job() 2025-12-04T11:28:29.8728997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8729167Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8729673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8729872Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8730392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8730510Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8731130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8731260Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8731777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8731916Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8732087Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8732093Z 2025-12-04T11:28:29.8732098Z 2025-12-04T11:28:29.8732806Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8732848Z 2025-12-04T11:28:29.8732852Z 2025-12-04T11:28:29.8733069Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8733657Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8733695Z 2025-12-04T11:28:29.8733962Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8734181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8734280Z unimplemented [] 2025-12-04T11:28:29.8734398Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8734613Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8734729Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8734948Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8735686Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8735967Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8736229Z ___________ GPUTests.test_lite_regional_compile_flex_attention_cuda ____________ 2025-12-04T11:28:29.8736346Z Traceback (most recent call last): 2025-12-04T11:28:29.8736747Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T11:28:29.8736847Z return value(self) 2025-12-04T11:28:29.8737422Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in test_lite_regional_compile_flex_attention 2025-12-04T11:28:29.8737579Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8738086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:28:29.8758842Z return run_and_get_code(run_with_backward) 2025-12-04T11:28:29.8759329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:28:29.8759435Z result = fn(*args, **kwargs) 2025-12-04T11:28:29.8759917Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2426, in run_with_backward 2025-12-04T11:28:29.8760009Z result = fn() 2025-12-04T11:28:29.8760405Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in 2025-12-04T11:28:29.8760561Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8761080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.8761336Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.8761840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.8762031Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.8762537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.8762679Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.8763210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.8763560Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.8764096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.8764302Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.8764805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.8764959Z return f.result() 2025-12-04T11:28:29.8765314Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.8765421Z return self.__get_result() 2025-12-04T11:28:29.8765841Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.8765943Z raise self._exception 2025-12-04T11:28:29.8766315Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8766322Z 2025-12-04T11:28:29.8766422Z Name= 2025-12-04T11:28:29.8766541Z Traceback (most recent call last): 2025-12-04T11:28:29.8767083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8767177Z result = job() 2025-12-04T11:28:29.8767752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8767931Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8768429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8768626Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8769145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8769265Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8769816Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8769932Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8770408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8770550Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8770713Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8770718Z 2025-12-04T11:28:29.8770723Z 2025-12-04T11:28:29.8771516Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8771525Z 2025-12-04T11:28:29.8771529Z 2025-12-04T11:28:29.8771743Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8772369Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8772384Z 2025-12-04T11:28:29.8772651Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8772866Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8772977Z unimplemented [] 2025-12-04T11:28:29.8773090Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8773308Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8773437Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8773652Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8774395Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8774701Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8774911Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8775016Z unimplemented [] 2025-12-04T11:28:29.8775125Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8775339Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8775466Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8775704Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8776440Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8776739Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8776874Z =================================== FAILURES =================================== 2025-12-04T11:28:29.8777144Z ___________ GPUTests.test_lite_regional_compile_flex_attention_cuda ____________ 2025-12-04T11:28:29.8777259Z Traceback (most recent call last): 2025-12-04T11:28:29.8777654Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T11:28:29.8777760Z return value(self) 2025-12-04T11:28:29.8778328Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in test_lite_regional_compile_flex_attention 2025-12-04T11:28:29.8778501Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8779006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:28:29.8779142Z return run_and_get_code(run_with_backward) 2025-12-04T11:28:29.8779621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:28:29.8779727Z result = fn(*args, **kwargs) 2025-12-04T11:28:29.8780206Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2426, in run_with_backward 2025-12-04T11:28:29.8780309Z result = fn() 2025-12-04T11:28:29.8780701Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in 2025-12-04T11:28:29.8780866Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8781339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.8781584Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.8782095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.8782285Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.8782797Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.8782938Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.8783499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.8783819Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.8784350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.8784552Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.8785065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.8785166Z return f.result() 2025-12-04T11:28:29.8785522Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.8785631Z return self.__get_result() 2025-12-04T11:28:29.8786047Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.8786166Z raise self._exception 2025-12-04T11:28:29.8786540Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8786546Z 2025-12-04T11:28:29.8786635Z Name= 2025-12-04T11:28:29.8786765Z Traceback (most recent call last): 2025-12-04T11:28:29.8787329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8787430Z result = job() 2025-12-04T11:28:29.8788006Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8788204Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8788706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8788904Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8789425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8789543Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8790090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8790215Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8790695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8790829Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8791006Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8791011Z 2025-12-04T11:28:29.8791016Z 2025-12-04T11:28:29.8791725Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8791731Z 2025-12-04T11:28:29.8791738Z 2025-12-04T11:28:29.8791953Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8792545Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8792552Z 2025-12-04T11:28:29.8792821Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8793035Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8793138Z unimplemented [] 2025-12-04T11:28:29.8793257Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8793475Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8793593Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8793816Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8794578Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8794860Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8795068Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8795171Z unimplemented [] 2025-12-04T11:28:29.8795289Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8795503Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8795622Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8795835Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8796565Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8796874Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8797084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8797181Z unimplemented [] 2025-12-04T11:28:29.8797300Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8797512Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8797660Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8797875Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8798600Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8798911Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8799727Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-ed0f337e0f70d336.xml - 2025-12-04T11:28:29.8799894Z =========================== short test summary info ============================ 2025-12-04T11:28:29.8800821Z FAILED [0.4655s] inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda - torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8800827Z 2025-12-04T11:28:29.8800923Z Name= 2025-12-04T11:28:29.8801046Z Traceback (most recent call last): 2025-12-04T11:28:29.8801589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8801683Z result = job() 2025-12-04T11:28:29.8802264Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8802439Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8802945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8803144Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8803659Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8803785Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8804335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8804680Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8805173Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8805311Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8805483Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8805489Z 2025-12-04T11:28:29.8805494Z 2025-12-04T11:28:29.8806276Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8806283Z 2025-12-04T11:28:29.8806287Z 2025-12-04T11:28:29.8806506Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8807089Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8807096Z 2025-12-04T11:28:29.8807363Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8807545Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.8807748Z ================= 1 failed, 311 deselected, 2 rerun in 18.49s ================== 2025-12-04T11:28:29.8807850Z Got exit code 1 2025-12-04T11:28:29.8807954Z Retrying single test... 2025-12-04T11:28:29.8808463Z W1204 11:23:22.102000 103078 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.8809108Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-527ea474b556331f.xml 2025-12-04T11:28:29.8809267Z ============================= test session starts ============================== 2025-12-04T11:28:29.8809660Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.8809772Z cachedir: .pytest_cache 2025-12-04T11:28:29.8810291Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.8810451Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.8810559Z configfile: pytest.ini 2025-12-04T11:28:29.8811160Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.8811397Z collecting ... collected 879 items / 311 deselected / 568 selected 2025-12-04T11:28:29.8812088Z stepcurrent: skipping 191 already run items. Running only test/inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8812195Z Running 1 items in this shard 2025-12-04T11:28:29.8812208Z 2025-12-04T11:28:29.8812977Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [17.7650s] [100%] 2025-12-04T11:28:29.8813739Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.6188s] [100%] 2025-12-04T11:28:29.8814409Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda <- test/inductor/test_torchinductor.py FAILED [0.4825s] [100%] 2025-12-04T11:28:29.8814415Z 2025-12-04T11:28:29.8814549Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.8814823Z ___________ GPUTests.test_lite_regional_compile_flex_attention_cuda ____________ 2025-12-04T11:28:29.8814940Z Traceback (most recent call last): 2025-12-04T11:28:29.8815341Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T11:28:29.8815448Z return value(self) 2025-12-04T11:28:29.8816016Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in test_lite_regional_compile_flex_attention 2025-12-04T11:28:29.8816177Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8816692Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:28:29.8816834Z return run_and_get_code(run_with_backward) 2025-12-04T11:28:29.8817311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:28:29.8817421Z result = fn(*args, **kwargs) 2025-12-04T11:28:29.8817928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2426, in run_with_backward 2025-12-04T11:28:29.8818030Z result = fn() 2025-12-04T11:28:29.8818418Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in 2025-12-04T11:28:29.8818588Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8819062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.8819308Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.8819819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.8820009Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.8820545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.8820691Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.8821222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.8821543Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.8822105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.8822304Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.8822845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.8822944Z return f.result() 2025-12-04T11:28:29.8823304Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.8823410Z return self.__get_result() 2025-12-04T11:28:29.8823795Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.8823906Z raise self._exception 2025-12-04T11:28:29.8824283Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8824290Z 2025-12-04T11:28:29.8824380Z Name= 2025-12-04T11:28:29.8824502Z Traceback (most recent call last): 2025-12-04T11:28:29.8825036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8825134Z result = job() 2025-12-04T11:28:29.8825707Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8825875Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8826384Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8826580Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8827092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8827224Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8827765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8827889Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8828363Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8828497Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8828669Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8828674Z 2025-12-04T11:28:29.8828681Z 2025-12-04T11:28:29.8829423Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8829429Z 2025-12-04T11:28:29.8829434Z 2025-12-04T11:28:29.8829650Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8830238Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8830245Z 2025-12-04T11:28:29.8830515Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8830727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8830828Z unimplemented [] 2025-12-04T11:28:29.8830947Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8831162Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8831306Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8831529Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8832262Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8832546Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8832841Z ___________ GPUTests.test_lite_regional_compile_flex_attention_cuda ____________ 2025-12-04T11:28:29.8832959Z Traceback (most recent call last): 2025-12-04T11:28:29.8833359Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T11:28:29.8833488Z return value(self) 2025-12-04T11:28:29.8834057Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in test_lite_regional_compile_flex_attention 2025-12-04T11:28:29.8834227Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8834732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:28:29.8834879Z return run_and_get_code(run_with_backward) 2025-12-04T11:28:29.8835348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:28:29.8835457Z result = fn(*args, **kwargs) 2025-12-04T11:28:29.8835938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2426, in run_with_backward 2025-12-04T11:28:29.8836031Z result = fn() 2025-12-04T11:28:29.8836417Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in 2025-12-04T11:28:29.8836586Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8837058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.8837313Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.8837819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.8838004Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.8838518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.8838657Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.8839194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.8839512Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.8840036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.8840246Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.8840786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.8840884Z return f.result() 2025-12-04T11:28:29.8841243Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.8841351Z return self.__get_result() 2025-12-04T11:28:29.8841742Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.8841848Z raise self._exception 2025-12-04T11:28:29.8842219Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8842226Z 2025-12-04T11:28:29.8842327Z Name= 2025-12-04T11:28:29.8842443Z Traceback (most recent call last): 2025-12-04T11:28:29.8843010Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8843112Z result = job() 2025-12-04T11:28:29.8843688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8843865Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8844357Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8844581Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8845103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8845253Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8845802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8845918Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8846401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8846542Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8846706Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8846711Z 2025-12-04T11:28:29.8846716Z 2025-12-04T11:28:29.8847437Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8847446Z 2025-12-04T11:28:29.8847450Z 2025-12-04T11:28:29.8847658Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8848249Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8848261Z 2025-12-04T11:28:29.8848526Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8848743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8848847Z unimplemented [] 2025-12-04T11:28:29.8848957Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8849169Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8849295Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8849504Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8850232Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8850514Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8850725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8850830Z unimplemented [] 2025-12-04T11:28:29.8850943Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8851251Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8851432Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8851642Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8852366Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8852654Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8852792Z =================================== FAILURES =================================== 2025-12-04T11:28:29.8853059Z ___________ GPUTests.test_lite_regional_compile_flex_attention_cuda ____________ 2025-12-04T11:28:29.8853178Z Traceback (most recent call last): 2025-12-04T11:28:29.8853573Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 14842, in new_test 2025-12-04T11:28:29.8853708Z return value(self) 2025-12-04T11:28:29.8854281Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in test_lite_regional_compile_flex_attention 2025-12-04T11:28:29.8854449Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8854954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:28:29.8855120Z return run_and_get_code(run_with_backward) 2025-12-04T11:28:29.8855596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:28:29.8855703Z result = fn(*args, **kwargs) 2025-12-04T11:28:29.8856176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2426, in run_with_backward 2025-12-04T11:28:29.8856306Z result = fn() 2025-12-04T11:28:29.8856695Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13781, in 2025-12-04T11:28:29.8856860Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:28:29.8857337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.8857578Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.8858088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.8858276Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.8858778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.8858925Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.8859466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.8859796Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.8860328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.8860530Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.8861148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.8861254Z return f.result() 2025-12-04T11:28:29.8861619Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.8861735Z return self.__get_result() 2025-12-04T11:28:29.8862122Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.8862242Z raise self._exception 2025-12-04T11:28:29.8862615Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8862623Z 2025-12-04T11:28:29.8862720Z Name= 2025-12-04T11:28:29.8862881Z Traceback (most recent call last): 2025-12-04T11:28:29.8863421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8863528Z result = job() 2025-12-04T11:28:29.8864103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8864276Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8864786Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8864981Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8865510Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8865662Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8866210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8866339Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8866822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8866991Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8867172Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8867177Z 2025-12-04T11:28:29.8867182Z 2025-12-04T11:28:29.8867896Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8867931Z 2025-12-04T11:28:29.8867937Z 2025-12-04T11:28:29.8868165Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8868757Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8868762Z 2025-12-04T11:28:29.8869039Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8869257Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8869357Z unimplemented [] 2025-12-04T11:28:29.8869481Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8869699Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8869818Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8870039Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8870774Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8871059Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8871268Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8871364Z unimplemented [] 2025-12-04T11:28:29.8871483Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8871697Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8871814Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8872040Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8872770Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8873057Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8873261Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.8873361Z unimplemented [] 2025-12-04T11:28:29.8873487Z stats [('calls_captured', 4)] 2025-12-04T11:28:29.8873726Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.8873847Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.8874077Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.8875065Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.8875358Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.8876174Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-527ea474b556331f.xml - 2025-12-04T11:28:29.8876344Z =========================== short test summary info ============================ 2025-12-04T11:28:29.8877317Z FAILED [0.4825s] inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda - torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.8877324Z 2025-12-04T11:28:29.8877418Z Name= 2025-12-04T11:28:29.8877551Z Traceback (most recent call last): 2025-12-04T11:28:29.8878095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.8878222Z result = job() 2025-12-04T11:28:29.8878809Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.8878982Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.8879493Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.8879720Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.8880238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.8880373Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.8880918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.8881034Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.8881524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.8881656Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.8881833Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.8881839Z 2025-12-04T11:28:29.8881846Z 2025-12-04T11:28:29.8882557Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.8882563Z 2025-12-04T11:28:29.8882567Z 2025-12-04T11:28:29.8882788Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.8883384Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8883390Z 2025-12-04T11:28:29.8883653Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.8883839Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.8884037Z ================= 1 failed, 311 deselected, 2 rerun in 18.95s ================== 2025-12-04T11:28:29.8884144Z Got exit code 1 2025-12-04T11:28:29.8884655Z FAILED CONSISTENTLY: test/inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda 2025-12-04T11:28:29.8885061Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:28:29.8885518Z W1204 11:23:55.821000 103320 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.8886253Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-bf83a856283a1c9b.xml 2025-12-04T11:28:29.8886416Z ============================= test session starts ============================== 2025-12-04T11:28:29.8886773Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.8886880Z cachedir: .pytest_cache 2025-12-04T11:28:29.8887411Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.8887530Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.8887636Z configfile: pytest.ini 2025-12-04T11:28:29.8888187Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.8888438Z collecting ... collected 879 items / 192 deselected / 687 selected 2025-12-04T11:28:29.8888587Z stepcurrent: skipping 192 already run items. 2025-12-04T11:28:29.8888708Z Running 120 items in this shard 2025-12-04T11:28:29.8888713Z 2025-12-04T11:28:29.8889398Z inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_invoke_subgraph_cuda <- test/inductor/test_torchinductor.py PASSED [24.5267s] [ 0%] 2025-12-04T11:28:29.8890486Z inductor/test_compile_subprocess.py::GPUTests::test_log_softmax_cuda <- test/inductor/test_torchinductor.py W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8890946Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8891989Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8892375Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8893217Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8893811Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8894597Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8895012Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8895853Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8896414Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8897242Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8897690Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8898511Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8899039Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8899880Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8900407Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8901217Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8901770Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.8902594Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.8903175Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.8903985Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.8904796Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8905778Z W1204 11:24:25.978000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.8905883Z PASSED [4.6164s] [ 1%] 2025-12-04T11:28:29.8906581Z inductor/test_compile_subprocess.py::GPUTests::test_logaddexp_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0033s] (Not implemented for CUDA) [ 2%] 2025-12-04T11:28:29.8907139Z inductor/test_compile_subprocess.py::GPUTests::test_logcumsumexp_cuda <- test/inductor/test_torchinductor.py PASSED [13.3794s] [ 3%] 2025-12-04T11:28:29.8908192Z inductor/test_compile_subprocess.py::GPUTests::test_logsumexp_cuda <- test/inductor/test_torchinductor.py W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8908655Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8909559Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8909943Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8910784Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8911373Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8912167Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8912585Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8913467Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8914035Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8914860Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8915307Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8916133Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8916698Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8917518Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8918038Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8918873Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8919441Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.8920263Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.8920851Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.8921661Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.8922295Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8923206Z W1204 11:24:41.349000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.8923308Z PASSED [1.5594s] [ 4%] 2025-12-04T11:28:29.8923868Z inductor/test_compile_subprocess.py::GPUTests::test_long_tensor_cuda <- test/inductor/test_torchinductor.py PASSED [0.7038s] [ 5%] 2025-12-04T11:28:29.8924914Z inductor/test_compile_subprocess.py::GPUTests::test_max_pool2d2_cuda <- test/inductor/test_torchinductor.py W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8925381Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8926273Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8926670Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8927540Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8928122Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8928924Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8929327Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8930167Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8930749Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8931665Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8932113Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8932951Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8933480Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8934318Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8934852Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8935652Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8936205Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.8937003Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.8937578Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.8938397Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.8939022Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8939999Z W1204 11:24:42.707000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.8940506Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8940962Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8941888Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8942269Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8943116Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8943694Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8944489Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8944919Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8945761Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8946321Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8947200Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8947684Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8948488Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8949025Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8949823Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8950349Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8951158Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8951716Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.8952522Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.8953095Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.8953924Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.8954546Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8955539Z W1204 11:24:44.237000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.8955650Z PASSED [2.7951s] [ 5%] 2025-12-04T11:28:29.8956703Z inductor/test_compile_subprocess.py::GPUTests::test_max_pool2d5_cuda <- test/inductor/test_torchinductor.py W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8957176Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8958062Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8958445Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8959325Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8959905Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8960709Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8961140Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8962013Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8962568Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8963393Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8963850Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8964654Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8965188Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8965993Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8966527Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8967328Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8967883Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.8968684Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.8969261Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.8970107Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.8970736Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8971765Z W1204 11:24:45.724000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.8972273Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8972766Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8973670Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8974053Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8974930Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8975511Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8976341Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8976744Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8977582Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8978148Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8978971Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8979426Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8980227Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8980747Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8981560Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8982081Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8982892Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8983478Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.8984276Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.8984845Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.8985660Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.8986299Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.8987290Z W1204 11:24:46.851000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.8987402Z PASSED [2.5115s] [ 6%] 2025-12-04T11:28:29.8988452Z inductor/test_compile_subprocess.py::GPUTests::test_max_pool2d7_cuda <- test/inductor/test_torchinductor.py W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.8988946Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.8989837Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.8990245Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.8991097Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.8991670Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.8992463Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.8992868Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.8993715Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.8994269Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.8995091Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.8995544Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.8996347Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.8996876Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.8997705Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.8998234Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.8999030Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.8999586Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9000385Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9000998Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9001812Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9002436Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9003443Z W1204 11:24:47.990000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.9003980Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9004441Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9005480Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9005859Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9006712Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9007289Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9008086Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9008498Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9009334Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9009901Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9010726Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9011259Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9012125Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9012645Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9013459Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9013980Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9014832Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9015390Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9016195Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9016805Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9017616Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9018285Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9019252Z W1204 11:24:48.226000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims._low_memory_max_pool_with_offsets.default 2025-12-04T11:28:29.9019363Z PASSED [0.4905s] [ 7%] 2025-12-04T11:28:29.9020013Z inductor/test_compile_subprocess.py::GPUTests::test_max_pool2d_with_indices_backward3_cuda <- test/inductor/test_torchinductor.py PASSED [4.2014s] [ 8%] 2025-12-04T11:28:29.9020599Z inductor/test_compile_subprocess.py::GPUTests::test_min_max_reduction_nan_cuda <- test/inductor/test_torchinductor.py PASSED [0.8471s] [ 9%] 2025-12-04T11:28:29.9021669Z inductor/test_compile_subprocess.py::GPUTests::test_mix_device_index_cuda <- test/inductor/test_torchinductor.py W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9022133Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9023032Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9023416Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9024266Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9024841Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9025630Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9026065Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9026902Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9027464Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9028284Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9028744Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9029575Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9030094Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9030928Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9031452Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9032292Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9032847Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9033650Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9034224Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9035033Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9035669Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9036502Z W1204 11:24:53.527000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9036612Z PASSED [0.3013s] [ 10%] 2025-12-04T11:28:29.9037654Z inductor/test_compile_subprocess.py::GPUTests::test_move_arange_cuda <- test/inductor/test_torchinductor.py W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9038119Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9039017Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9039402Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9040282Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9040857Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9041659Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9042059Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9042925Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9043490Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9044314Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9044795Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9045598Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9046161Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9046965Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9047484Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9048291Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9048844Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9049648Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9050220Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9051123Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9051752Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9052579Z W1204 11:24:53.803000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9052694Z PASSED [0.2191s] [ 10%] 2025-12-04T11:28:29.9053851Z inductor/test_compile_subprocess.py::GPUTests::test_mul_softmax_symfloat_cuda <- test/inductor/test_torchinductor.py W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9054329Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] Traceback (most recent call last): 2025-12-04T11:28:29.9055223Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9055622Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] ).serialize() 2025-12-04T11:28:29.9056465Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9057077Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9057880Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9058293Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] pickler.dump(obj) 2025-12-04T11:28:29.9059170Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9059729Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9060594Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9061056Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] cls(obj, pickler.options), 2025-12-04T11:28:29.9061857Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9062392Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9063200Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9063736Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9064543Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9065100Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9065907Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9066483Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9067313Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9067973Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9068906Z W1204 11:24:54.231000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0_1] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9069413Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9069868Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] Traceback (most recent call last): 2025-12-04T11:28:29.9070779Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9071736Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] ).serialize() 2025-12-04T11:28:29.9072598Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9073180Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9074027Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9074467Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] pickler.dump(obj) 2025-12-04T11:28:29.9075307Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9075871Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9076694Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9077154Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] cls(obj, pickler.options), 2025-12-04T11:28:29.9077958Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9078501Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9079304Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9079827Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9080640Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9081199Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9082002Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9082607Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9083422Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9084059Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9084967Z W1204 11:24:55.690000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/1] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9085084Z PASSED [2.8681s] [ 11%] 2025-12-04T11:28:29.9085716Z inductor/test_compile_subprocess.py::GPUTests::test_mutations_loop_fusion_cuda <- test/inductor/test_torchinductor.py PASSED [0.6880s] [ 12%] 2025-12-04T11:28:29.9086394Z inductor/test_compile_subprocess.py::GPUTests::test_nan_sort_stable_False_descending_True_cuda <- test/inductor/test_torchinductor.py PASSED [0.7968s] [ 13%] 2025-12-04T11:28:29.9087050Z inductor/test_compile_subprocess.py::GPUTests::test_nan_sort_stable_True_descending_True_cuda <- test/inductor/test_torchinductor.py PASSED [1.0211s] [ 14%] 2025-12-04T11:28:29.9088199Z inductor/test_compile_subprocess.py::GPUTests::test_needs_contiguous_strides_cuda <- test/inductor/test_torchinductor.py W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9088697Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9089600Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9089991Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9090830Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9091493Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9092287Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9092695Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9093556Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9094107Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9094948Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9095392Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9096214Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9096774Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9097576Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9098114Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9098918Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9099484Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9100311Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9100885Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9101736Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9102362Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9103315Z W1204 11:24:59.401000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.mylib.myop.default 2025-12-04T11:28:29.9103419Z PASSED [0.8876s] [ 15%] 2025-12-04T11:28:29.9104634Z inductor/test_compile_subprocess.py::GPUTests::test_neg_index_cuda <- test/inductor/test_torchinductor.py W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9105102Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9105992Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9106391Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9107234Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9107824Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9108610Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9109028Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9109870Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9110428Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9111327Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9111775Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9112597Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9113120Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9113976Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9114503Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9115298Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9115895Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9116687Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9117306Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9118120Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9118749Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9119592Z W1204 11:25:01.129000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9120095Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9120564Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9121458Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9121847Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9122689Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9123266Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9124064Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9124473Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9125393Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9126013Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9126852Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9127297Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9128140Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9128680Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9129481Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9130050Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9130850Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9131544Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9132341Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9132915Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9133738Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9134365Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9135216Z W1204 11:25:01.374000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9135724Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9136195Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9137086Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9137472Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9138339Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9138959Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9139759Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9140163Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9141008Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9141572Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9142427Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9142881Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9143689Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9144254Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9145055Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9145602Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9146416Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9146968Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9147771Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9148345Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9149170Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9149800Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9150631Z W1204 11:25:01.646000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9150747Z PASSED [2.2383s] [ 15%] 2025-12-04T11:28:29.9151304Z inductor/test_compile_subprocess.py::GPUTests::test_neg_max_uint8_cuda <- test/inductor/test_torchinductor.py PASSED [0.3564s] [ 16%] 2025-12-04T11:28:29.9151887Z inductor/test_compile_subprocess.py::GPUTests::test_new_empty_strided_cuda <- test/inductor/test_torchinductor.py PASSED [0.2616s] [ 17%] 2025-12-04T11:28:29.9152408Z inductor/test_compile_subprocess.py::GPUTests::test_new_ones_cuda <- test/inductor/test_torchinductor.py PASSED [0.3477s] [ 18%] 2025-12-04T11:28:29.9153069Z inductor/test_compile_subprocess.py::GPUTests::test_no_mega_fusion_during_lowering_cuda <- test/inductor/test_torchinductor.py PASSED [0.8923s] [ 19%] 2025-12-04T11:28:29.9153641Z inductor/test_compile_subprocess.py::GPUTests::test_no_op_reduction_cuda <- test/inductor/test_torchinductor.py PASSED [0.4215s] [ 20%] 2025-12-04T11:28:29.9154268Z inductor/test_compile_subprocess.py::GPUTests::test_nonzero_unbacked_refinement_cuda <- test/inductor/test_torchinductor.py PASSED [1.1655s] [ 20%] 2025-12-04T11:28:29.9155388Z inductor/test_compile_subprocess.py::GPUTests::test_norm_constant_overflow_cuda <- test/inductor/test_torchinductor.py W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9155852Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9156787Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9157171Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9158014Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9158648Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9159471Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9159944Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9161217Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9161941Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9162773Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9163222Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9164035Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9164560Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9165374Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9165897Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9166698Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9167263Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9168097Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9168687Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9169504Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9170140Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9171169Z W1204 11:25:06.354000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9171280Z PASSED [0.7551s] [ 21%] 2025-12-04T11:28:29.9171837Z inductor/test_compile_subprocess.py::GPUTests::test_pad_single_cuda <- test/inductor/test_torchinductor.py PASSED [0.4070s] [ 22%] 2025-12-04T11:28:29.9172368Z inductor/test_compile_subprocess.py::GPUTests::test_permute1_cuda <- test/inductor/test_torchinductor.py PASSED [0.4789s] [ 23%] 2025-12-04T11:28:29.9173074Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_chebyshev_polynomial_v_cuda <- test/inductor/test_torchinductor.py PASSED [0.4043s] [ 24%] 2025-12-04T11:28:29.9173648Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_digamma_cuda <- test/inductor/test_torchinductor.py PASSED [0.7289s] [ 25%] 2025-12-04T11:28:29.9174242Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_erfc_cuda <- test/inductor/test_torchinductor.py PASSED [0.7090s] [ 25%] 2025-12-04T11:28:29.9174837Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_gammainc_cuda <- test/inductor/test_torchinductor.py PASSED [0.1447s] [ 26%] 2025-12-04T11:28:29.9175479Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_hermite_polynomial_h_cuda <- test/inductor/test_torchinductor.py PASSED [0.2999s] [ 27%] 2025-12-04T11:28:29.9176139Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_hermite_polynomial_he_cuda <- test/inductor/test_torchinductor.py PASSED [0.1357s] [ 28%] 2025-12-04T11:28:29.9176691Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_i0_cuda <- test/inductor/test_torchinductor.py PASSED [1.0004s] [ 29%] 2025-12-04T11:28:29.9177254Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_i0e_cuda <- test/inductor/test_torchinductor.py PASSED [0.4818s] [ 30%] 2025-12-04T11:28:29.9177824Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_log1p_cuda <- test/inductor/test_torchinductor.py PASSED [0.4863s] [ 30%] 2025-12-04T11:28:29.9178455Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_modified_bessel_i0_cuda <- test/inductor/test_torchinductor.py PASSED [0.2725s] [ 31%] 2025-12-04T11:28:29.9179089Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_modified_bessel_i1_cuda <- test/inductor/test_torchinductor.py PASSED [0.2492s] [ 32%] 2025-12-04T11:28:29.9179715Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_modified_bessel_k1_cuda <- test/inductor/test_torchinductor.py PASSED [0.1360s] [ 33%] 2025-12-04T11:28:29.9180282Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_ndtr_cuda <- test/inductor/test_torchinductor.py PASSED [0.5244s] [ 34%] 2025-12-04T11:28:29.9180939Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_scaled_modified_bessel_k0_cuda <- test/inductor/test_torchinductor.py PASSED [0.1348s] [ 35%] 2025-12-04T11:28:29.9181628Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_shifted_chebyshev_polynomial_u_cuda <- test/inductor/test_torchinductor.py PASSED [1.3285s] [ 35%] 2025-12-04T11:28:29.9182356Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_shifted_chebyshev_polynomial_w_cuda <- test/inductor/test_torchinductor.py PASSED [1.0496s] [ 36%] 2025-12-04T11:28:29.9183426Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_sinc_cuda <- test/inductor/test_torchinductor.py W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9183900Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9184796Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9185189Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9186064Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9186643Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9187446Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9187882Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9188765Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9189320Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9190156Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9190601Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9191406Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9191944Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9192749Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9193284Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9194089Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9194645Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9195457Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9196035Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9196889Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9197516Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9198443Z W1204 11:25:16.054000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9198552Z PASSED [0.5933s] [ 37%] 2025-12-04T11:28:29.9199673Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_xlog1py_cuda <- test/inductor/test_torchinductor.py W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9200150Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9201045Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9201472Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9202319Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9202938Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9203735Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9204141Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9205170Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9205728Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9206573Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9207026Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9207853Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9208379Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9209182Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9209721Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9210589Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9211236Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9212035Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9212612Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9213438Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9214132Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9215065Z W1204 11:25:16.638000 103320 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9215169Z PASSED [0.5965s] [ 38%] 2025-12-04T11:28:29.9215785Z inductor/test_compile_subprocess.py::GPUTests::test_pointwise_zeta_cuda <- test/inductor/test_torchinductor.py PASSED [0.1422s] [ 39%] 2025-12-04T11:28:29.9216291Z inductor/test_compile_subprocess.py::GPUTests::test_pow1_cuda <- test/inductor/test_torchinductor.py PASSED [1.5682s] [ 40%] 2025-12-04T11:28:29.9217020Z inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.1704s] [ 40%] 2025-12-04T11:28:29.9217799Z inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.1236s] [ 40%] 2025-12-04T11:28:29.9218427Z inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda <- test/inductor/test_torchinductor.py FAILED [0.1209s] [ 40%] 2025-12-04T11:28:29.9218436Z 2025-12-04T11:28:29.9218590Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.9218847Z ______________ GPUTests.test_prepare_softmax_with_fast_math_cuda _______________ 2025-12-04T11:28:29.9218966Z Traceback (most recent call last): 2025-12-04T11:28:29.9219532Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13964, in test_prepare_softmax_with_fast_math 2025-12-04T11:28:29.9219634Z act = opt_f(x) 2025-12-04T11:28:29.9220129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.9220381Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.9220895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.9221099Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.9221610Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.9221754Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.9222303Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.9222621Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.9223169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.9223372Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.9223913Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.9224035Z return f.result() 2025-12-04T11:28:29.9224390Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.9224518Z return self.__get_result() 2025-12-04T11:28:29.9224908Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.9225017Z raise self._exception 2025-12-04T11:28:29.9225402Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9225407Z 2025-12-04T11:28:29.9225508Z Name= 2025-12-04T11:28:29.9225628Z Traceback (most recent call last): 2025-12-04T11:28:29.9226177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9226314Z result = job() 2025-12-04T11:28:29.9226910Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9227085Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9227586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9227828Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9228345Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9228479Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9229060Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9229179Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9229674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9229814Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9229983Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9229989Z 2025-12-04T11:28:29.9230003Z 2025-12-04T11:28:29.9230716Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9230725Z 2025-12-04T11:28:29.9230729Z 2025-12-04T11:28:29.9230945Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9231522Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9231530Z 2025-12-04T11:28:29.9231798Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9232032Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9232136Z frames [('total', 1)] 2025-12-04T11:28:29.9232250Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9232484Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9232605Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9232822Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9233577Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9233854Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9234123Z ______________ GPUTests.test_prepare_softmax_with_fast_math_cuda _______________ 2025-12-04T11:28:29.9234243Z Traceback (most recent call last): 2025-12-04T11:28:29.9234798Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13964, in test_prepare_softmax_with_fast_math 2025-12-04T11:28:29.9234910Z act = opt_f(x) 2025-12-04T11:28:29.9235420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.9235667Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.9236191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.9236384Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.9236908Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.9237052Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.9237582Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.9237942Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.9238480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.9238698Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.9239203Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.9239341Z return f.result() 2025-12-04T11:28:29.9239706Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.9239818Z return self.__get_result() 2025-12-04T11:28:29.9240209Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.9240360Z raise self._exception 2025-12-04T11:28:29.9240737Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9240745Z 2025-12-04T11:28:29.9240852Z Name= 2025-12-04T11:28:29.9240974Z Traceback (most recent call last): 2025-12-04T11:28:29.9241508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9241620Z result = job() 2025-12-04T11:28:29.9242199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9242383Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9242883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9243082Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9243611Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9243735Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9244287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9244416Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9244898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9245050Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9245215Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9245220Z 2025-12-04T11:28:29.9245225Z 2025-12-04T11:28:29.9245941Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9245958Z 2025-12-04T11:28:29.9245963Z 2025-12-04T11:28:29.9246179Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9246769Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9246775Z 2025-12-04T11:28:29.9247053Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9247269Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9247374Z frames [('total', 1)] 2025-12-04T11:28:29.9247500Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9247725Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9247857Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9248071Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9248812Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9249129Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9249346Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9249446Z frames [('total', 1)] 2025-12-04T11:28:29.9249570Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9249789Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9249920Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9250162Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9250898Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9251297Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9251438Z =================================== FAILURES =================================== 2025-12-04T11:28:29.9251707Z ______________ GPUTests.test_prepare_softmax_with_fast_math_cuda _______________ 2025-12-04T11:28:29.9251827Z Traceback (most recent call last): 2025-12-04T11:28:29.9252384Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13964, in test_prepare_softmax_with_fast_math 2025-12-04T11:28:29.9252499Z act = opt_f(x) 2025-12-04T11:28:29.9252984Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.9253232Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.9253755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.9253944Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.9254464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.9254605Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.9255142Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.9255470Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.9256004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.9256222Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.9256727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.9256830Z return f.result() 2025-12-04T11:28:29.9257200Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.9257313Z return self.__get_result() 2025-12-04T11:28:29.9257709Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.9257829Z raise self._exception 2025-12-04T11:28:29.9258257Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9258264Z 2025-12-04T11:28:29.9258373Z Name= 2025-12-04T11:28:29.9258493Z Traceback (most recent call last): 2025-12-04T11:28:29.9259033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9259141Z result = job() 2025-12-04T11:28:29.9259714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9259887Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9260394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9260626Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9261157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9261280Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9261828Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9261989Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9262596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9262754Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9262931Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9262974Z 2025-12-04T11:28:29.9262979Z 2025-12-04T11:28:29.9263701Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9263707Z 2025-12-04T11:28:29.9263711Z 2025-12-04T11:28:29.9263941Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9264507Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9264512Z 2025-12-04T11:28:29.9264795Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9265017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9265122Z frames [('total', 1)] 2025-12-04T11:28:29.9265251Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9265475Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9265612Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9265828Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9266577Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9266872Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9267089Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9267193Z frames [('total', 1)] 2025-12-04T11:28:29.9267328Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9267550Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9267684Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9267899Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9268637Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9268929Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9269199Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9269303Z frames [('total', 1)] 2025-12-04T11:28:29.9269428Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9269650Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9269784Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9270001Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9270733Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9271024Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9271849Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-bf83a856283a1c9b.xml - 2025-12-04T11:28:29.9272063Z =========================== short test summary info ============================ 2025-12-04T11:28:29.9272948Z FAILED [0.1209s] inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda - torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9272954Z 2025-12-04T11:28:29.9273054Z Name= 2025-12-04T11:28:29.9273269Z Traceback (most recent call last): 2025-12-04T11:28:29.9273885Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9273986Z result = job() 2025-12-04T11:28:29.9274577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9274795Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9275316Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9275519Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9276040Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9276174Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9276725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9276859Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9277341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9277482Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9277659Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9277664Z 2025-12-04T11:28:29.9277669Z 2025-12-04T11:28:29.9278383Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9278389Z 2025-12-04T11:28:29.9278394Z 2025-12-04T11:28:29.9278619Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9279183Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9279190Z 2025-12-04T11:28:29.9279457Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9279648Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.9279902Z = 1 failed, 47 passed, 1 skipped, 192 deselected, 2 rerun in 81.30s (0:01:21) == 2025-12-04T11:28:29.9280013Z Got exit code 1 2025-12-04T11:28:29.9280125Z Retrying single test... 2025-12-04T11:28:29.9280579Z W1204 11:25:32.030000 105530 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.9281261Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-61326cd296967c24.xml 2025-12-04T11:28:29.9281425Z ============================= test session starts ============================== 2025-12-04T11:28:29.9281792Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.9281903Z cachedir: .pytest_cache 2025-12-04T11:28:29.9282426Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.9282562Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.9282672Z configfile: pytest.ini 2025-12-04T11:28:29.9283213Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.9283478Z collecting ... collected 879 items / 311 deselected / 568 selected 2025-12-04T11:28:29.9284136Z stepcurrent: skipping 240 already run items. Running only test/inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9284267Z Running 1 items in this shard 2025-12-04T11:28:29.9284272Z 2025-12-04T11:28:29.9285007Z inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [15.0599s] [100%] 2025-12-04T11:28:29.9285769Z inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.1204s] [100%] 2025-12-04T11:28:29.9286413Z inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda <- test/inductor/test_torchinductor.py FAILED [0.2463s] [100%] 2025-12-04T11:28:29.9286449Z 2025-12-04T11:28:29.9286588Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.9286860Z ______________ GPUTests.test_prepare_softmax_with_fast_math_cuda _______________ 2025-12-04T11:28:29.9286986Z Traceback (most recent call last): 2025-12-04T11:28:29.9287541Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13964, in test_prepare_softmax_with_fast_math 2025-12-04T11:28:29.9287653Z act = opt_f(x) 2025-12-04T11:28:29.9288141Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.9288401Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.9288916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.9289108Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.9289627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.9289773Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.9290305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.9290637Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.9291256Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.9291478Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.9291985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.9292089Z return f.result() 2025-12-04T11:28:29.9292458Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.9292571Z return self.__get_result() 2025-12-04T11:28:29.9292982Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.9293122Z raise self._exception 2025-12-04T11:28:29.9293501Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9293506Z 2025-12-04T11:28:29.9293616Z Name= 2025-12-04T11:28:29.9293736Z Traceback (most recent call last): 2025-12-04T11:28:29.9294277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9294385Z result = job() 2025-12-04T11:28:29.9294964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9295151Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9295653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9295883Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9296423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9296548Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9297101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9297265Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9297750Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9297900Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9298114Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9298119Z 2025-12-04T11:28:29.9298124Z 2025-12-04T11:28:29.9298840Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9298856Z 2025-12-04T11:28:29.9298863Z 2025-12-04T11:28:29.9299076Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9299636Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9299644Z 2025-12-04T11:28:29.9299922Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9300141Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9300255Z frames [('total', 1)] 2025-12-04T11:28:29.9300368Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9300490Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9300724Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9300939Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9301679Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9301968Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9302226Z ______________ GPUTests.test_prepare_softmax_with_fast_math_cuda _______________ 2025-12-04T11:28:29.9302364Z Traceback (most recent call last): 2025-12-04T11:28:29.9302916Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13964, in test_prepare_softmax_with_fast_math 2025-12-04T11:28:29.9303012Z act = opt_f(x) 2025-12-04T11:28:29.9303503Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.9303754Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.9304265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.9304690Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.9305204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.9305360Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.9305893Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.9306216Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.9306764Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.9306972Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.9307529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.9307631Z return f.result() 2025-12-04T11:28:29.9307990Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.9308114Z return self.__get_result() 2025-12-04T11:28:29.9308504Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.9308716Z raise self._exception 2025-12-04T11:28:29.9309107Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9309114Z 2025-12-04T11:28:29.9309211Z Name= 2025-12-04T11:28:29.9309347Z Traceback (most recent call last): 2025-12-04T11:28:29.9309926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9310024Z result = job() 2025-12-04T11:28:29.9310616Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9310791Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9311291Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9311501Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9312024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9312157Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9312706Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9312828Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9313322Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9313463Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9313642Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9313648Z 2025-12-04T11:28:29.9313653Z 2025-12-04T11:28:29.9314372Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9314380Z 2025-12-04T11:28:29.9314385Z 2025-12-04T11:28:29.9314614Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9315178Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9315185Z 2025-12-04T11:28:29.9315449Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9315677Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9315780Z frames [('total', 1)] 2025-12-04T11:28:29.9315897Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9316056Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9316279Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9316507Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9317248Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9317530Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9317754Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9317859Z frames [('total', 1)] 2025-12-04T11:28:29.9317972Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9318203Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9318322Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9318572Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9319312Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9319589Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9319769Z =================================== FAILURES =================================== 2025-12-04T11:28:29.9320023Z ______________ GPUTests.test_prepare_softmax_with_fast_math_cuda _______________ 2025-12-04T11:28:29.9320144Z Traceback (most recent call last): 2025-12-04T11:28:29.9320708Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13964, in test_prepare_softmax_with_fast_math 2025-12-04T11:28:29.9320836Z act = opt_f(x) 2025-12-04T11:28:29.9321337Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.9321585Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.9322095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.9322300Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.9322807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.9322967Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.9323504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.9323826Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.9324375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.9324583Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.9325104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.9325206Z return f.result() 2025-12-04T11:28:29.9325564Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.9325693Z return self.__get_result() 2025-12-04T11:28:29.9326086Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.9326197Z raise self._exception 2025-12-04T11:28:29.9326585Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9326593Z 2025-12-04T11:28:29.9326689Z Name= 2025-12-04T11:28:29.9326822Z Traceback (most recent call last): 2025-12-04T11:28:29.9327364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9327464Z result = job() 2025-12-04T11:28:29.9328084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9328260Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9328759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9328978Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9329500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9329642Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9330191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9330340Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9330840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9330978Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9331224Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9331245Z 2025-12-04T11:28:29.9331249Z 2025-12-04T11:28:29.9332007Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9332012Z 2025-12-04T11:28:29.9332017Z 2025-12-04T11:28:29.9332231Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9332838Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9332843Z 2025-12-04T11:28:29.9333115Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9333346Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9333450Z frames [('total', 1)] 2025-12-04T11:28:29.9333566Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9333701Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9333923Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9334141Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9334894Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9335174Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9335395Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9335497Z frames [('total', 1)] 2025-12-04T11:28:29.9335610Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9335847Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9335966Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9336176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9336922Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9337200Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9337423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9337524Z frames [('total', 1)] 2025-12-04T11:28:29.9337638Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9337871Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9337992Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9338204Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9338977Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9339253Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9340084Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-61326cd296967c24.xml - 2025-12-04T11:28:29.9340257Z =========================== short test summary info ============================ 2025-12-04T11:28:29.9341150Z FAILED [0.2463s] inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda - torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9341158Z 2025-12-04T11:28:29.9341255Z Name= 2025-12-04T11:28:29.9341404Z Traceback (most recent call last): 2025-12-04T11:28:29.9341968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9342069Z result = job() 2025-12-04T11:28:29.9342650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9342885Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9343390Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9343602Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9344156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9344282Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9344845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9344965Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9345457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9345593Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9345761Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9345768Z 2025-12-04T11:28:29.9345773Z 2025-12-04T11:28:29.9346504Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9346511Z 2025-12-04T11:28:29.9346516Z 2025-12-04T11:28:29.9346734Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9347315Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9347320Z 2025-12-04T11:28:29.9347588Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9347765Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.9347978Z ================= 1 failed, 311 deselected, 2 rerun in 15.51s ================== 2025-12-04T11:28:29.9348076Z Got exit code 1 2025-12-04T11:28:29.9348198Z Retrying single test... 2025-12-04T11:28:29.9348648Z W1204 11:26:01.379000 105742 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.9349292Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-bc90e3dcebb6bbbf.xml 2025-12-04T11:28:29.9349470Z ============================= test session starts ============================== 2025-12-04T11:28:29.9349819Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.9349927Z cachedir: .pytest_cache 2025-12-04T11:28:29.9350489Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.9350613Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.9350731Z configfile: pytest.ini 2025-12-04T11:28:29.9351273Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.9351501Z collecting ... collected 879 items / 311 deselected / 568 selected 2025-12-04T11:28:29.9352172Z stepcurrent: skipping 240 already run items. Running only test/inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9352288Z Running 1 items in this shard 2025-12-04T11:28:29.9352294Z 2025-12-04T11:28:29.9353067Z inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [15.1515s] [100%] 2025-12-04T11:28:29.9353799Z inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda <- test/inductor/test_torchinductor.py ('RERUN', {'yellow': True}) [0.1268s] [100%] 2025-12-04T11:28:29.9354432Z inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda <- test/inductor/test_torchinductor.py FAILED [0.2692s] [100%] 2025-12-04T11:28:29.9354469Z 2025-12-04T11:28:29.9354620Z ==================================== RERUNS ==================================== 2025-12-04T11:28:29.9354876Z ______________ GPUTests.test_prepare_softmax_with_fast_math_cuda _______________ 2025-12-04T11:28:29.9355011Z Traceback (most recent call last): 2025-12-04T11:28:29.9355593Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13964, in test_prepare_softmax_with_fast_math 2025-12-04T11:28:29.9355691Z act = opt_f(x) 2025-12-04T11:28:29.9356191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.9356442Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.9356966Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.9357154Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.9357664Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.9357822Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.9358354Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.9358673Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.9359220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.9359426Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.9359945Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.9360044Z return f.result() 2025-12-04T11:28:29.9360398Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.9360524Z return self.__get_result() 2025-12-04T11:28:29.9360914Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.9361022Z raise self._exception 2025-12-04T11:28:29.9361415Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9361420Z 2025-12-04T11:28:29.9361516Z Name= 2025-12-04T11:28:29.9361650Z Traceback (most recent call last): 2025-12-04T11:28:29.9362218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9362317Z result = job() 2025-12-04T11:28:29.9362905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9363078Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9363593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9363792Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9364312Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9364452Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9365030Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9365149Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9365645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9365783Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9365961Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9365996Z 2025-12-04T11:28:29.9366000Z 2025-12-04T11:28:29.9366722Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9366728Z 2025-12-04T11:28:29.9366732Z 2025-12-04T11:28:29.9366987Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9367553Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9367558Z 2025-12-04T11:28:29.9367826Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9368060Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9368161Z frames [('total', 1)] 2025-12-04T11:28:29.9368273Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9368405Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9368627Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9368854Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9369593Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9369877Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9370142Z ______________ GPUTests.test_prepare_softmax_with_fast_math_cuda _______________ 2025-12-04T11:28:29.9370269Z Traceback (most recent call last): 2025-12-04T11:28:29.9370833Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13964, in test_prepare_softmax_with_fast_math 2025-12-04T11:28:29.9370929Z act = opt_f(x) 2025-12-04T11:28:29.9371508Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.9371769Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.9372280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.9372474Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.9372997Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.9373142Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.9373698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.9374057Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.9374600Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.9374821Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.9375328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.9375442Z return f.result() 2025-12-04T11:28:29.9375797Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.9375913Z return self.__get_result() 2025-12-04T11:28:29.9376440Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.9376586Z raise self._exception 2025-12-04T11:28:29.9376967Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9376973Z 2025-12-04T11:28:29.9377085Z Name= 2025-12-04T11:28:29.9377208Z Traceback (most recent call last): 2025-12-04T11:28:29.9377759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9377888Z result = job() 2025-12-04T11:28:29.9378466Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9378653Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9379187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9379386Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9379921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9380047Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9380607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9380727Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9381213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9381364Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9381533Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9381540Z 2025-12-04T11:28:29.9381545Z 2025-12-04T11:28:29.9382276Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9382282Z 2025-12-04T11:28:29.9382289Z 2025-12-04T11:28:29.9382505Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9383072Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9383090Z 2025-12-04T11:28:29.9383356Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9383577Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9383695Z frames [('total', 1)] 2025-12-04T11:28:29.9383810Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9383929Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9384159Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9384378Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9385136Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9385448Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9385662Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9385778Z frames [('total', 1)] 2025-12-04T11:28:29.9385891Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9386114Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9386250Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9386464Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9387215Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9387497Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9387690Z =================================== FAILURES =================================== 2025-12-04T11:28:29.9387960Z ______________ GPUTests.test_prepare_softmax_with_fast_math_cuda _______________ 2025-12-04T11:28:29.9388081Z Traceback (most recent call last): 2025-12-04T11:28:29.9388635Z File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 13964, in test_prepare_softmax_with_fast_math 2025-12-04T11:28:29.9388776Z act = opt_f(x) 2025-12-04T11:28:29.9389260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 940, in compile_wrapper 2025-12-04T11:28:29.9389521Z raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1 2025-12-04T11:28:29.9390031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1019, in _compile_fx_inner 2025-12-04T11:28:29.9390253Z raise InductorError(e, currentframe()).with_traceback( 2025-12-04T11:28:29.9390780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1003, in _compile_fx_inner 2025-12-04T11:28:29.9390927Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:28:29.9391479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:28:29.9391798Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:28:29.9392334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 422, in codegen_and_compile 2025-12-04T11:28:29.9392550Z output = self._send_to_child(inputs).deserialize(constants) 2025-12-04T11:28:29.9393055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 596, in _send_to_child 2025-12-04T11:28:29.9393161Z return f.result() 2025-12-04T11:28:29.9393526Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result 2025-12-04T11:28:29.9393641Z return self.__get_result() 2025-12-04T11:28:29.9394044Z File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result 2025-12-04T11:28:29.9394151Z raise self._exception 2025-12-04T11:28:29.9394527Z torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9394532Z 2025-12-04T11:28:29.9394645Z Name= 2025-12-04T11:28:29.9394767Z Traceback (most recent call last): 2025-12-04T11:28:29.9395304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9395417Z result = job() 2025-12-04T11:28:29.9395986Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9396173Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9396671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9396896Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9397428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9397549Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9398107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9398224Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9398704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9398857Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9399023Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9399029Z 2025-12-04T11:28:29.9399033Z 2025-12-04T11:28:29.9399796Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9399802Z 2025-12-04T11:28:29.9399806Z 2025-12-04T11:28:29.9400022Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9400584Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9400618Z 2025-12-04T11:28:29.9400895Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9401117Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9401257Z frames [('total', 1)] 2025-12-04T11:28:29.9401367Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9401484Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9401715Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9401932Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9402674Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9402960Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9403171Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9403283Z frames [('total', 1)] 2025-12-04T11:28:29.9403396Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9403615Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9403748Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9403960Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9404893Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9405189Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9405402Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:28:29.9405513Z frames [('total', 1)] 2025-12-04T11:28:29.9405625Z stats [('calls_captured', 5)] 2025-12-04T11:28:29.9405845Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T11:28:29.9405973Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T11:28:29.9406184Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:28:29.9406912Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/ops_handler.py:772: UserWarning: undefined OpHandler.__getstate__, please add missing op schema 2025-12-04T11:28:29.9407199Z warnings.warn(f"undefined OpHandler.{name}, please add missing op schema") 2025-12-04T11:28:29.9408091Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-bc90e3dcebb6bbbf.xml - 2025-12-04T11:28:29.9408277Z =========================== short test summary info ============================ 2025-12-04T11:28:29.9409163Z FAILED [0.2692s] inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda - torch._inductor.exc.InductorError: SubprocException: An exception occurred in a subprocess: 2025-12-04T11:28:29.9409171Z 2025-12-04T11:28:29.9409282Z Name= 2025-12-04T11:28:29.9409404Z Traceback (most recent call last): 2025-12-04T11:28:29.9409954Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_worker/subproc_pool.py", line 457, in do_job 2025-12-04T11:28:29.9410068Z result = job() 2025-12-04T11:28:29.9410645Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_subproc.py", line 92, in _run_in_child_subprocess 2025-12-04T11:28:29.9410860Z result = cls._run_in_child(pickled_input, extra_env) 2025-12-04T11:28:29.9411446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 543, in _run_in_child 2025-12-04T11:28:29.9411651Z output_graph = _InProcessFxCompile().codegen_and_compile( 2025-12-04T11:28:29.9412186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:28:29.9412357Z _check_triton_bf16_support(graph) 2025-12-04T11:28:29.9412911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:28:29.9413040Z warn_and_skip(node.get_device()) 2025-12-04T11:28:29.9413563Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:28:29.9413702Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:28:29.9413887Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:28:29.9413892Z 2025-12-04T11:28:29.9413897Z 2025-12-04T11:28:29.9414615Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T11:28:29.9414620Z 2025-12-04T11:28:29.9414625Z 2025-12-04T11:28:29.9414850Z To execute this test, run the following from the base repo dir: 2025-12-04T11:28:29.9415415Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_compile_subprocess.py GPUTests.test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9415419Z 2025-12-04T11:28:29.9415699Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:28:29.9415878Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:28:29.9416083Z ================= 1 failed, 311 deselected, 2 rerun in 15.63s ================== 2025-12-04T11:28:29.9416196Z Got exit code 1 2025-12-04T11:28:29.9416685Z FAILED CONSISTENTLY: test/inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda 2025-12-04T11:28:29.9417107Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:28:29.9417555Z W1204 11:26:32.048000 105954 site-packages/torch/_inductor/utils.py:1703] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.9418194Z Test results will be stored in test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-70b3477143af3e30.xml 2025-12-04T11:28:29.9418369Z ============================= test session starts ============================== 2025-12-04T11:28:29.9418719Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:28:29.9418830Z cachedir: .pytest_cache 2025-12-04T11:28:29.9419363Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:28:29.9419483Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:28:29.9419633Z configfile: pytest.ini 2025-12-04T11:28:29.9420178Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, typeguard-4.3.0 2025-12-04T11:28:29.9425692Z collecting ... collected 879 items / 241 deselected / 638 selected 2025-12-04T11:28:29.9425932Z stepcurrent: skipping 241 already run items. 2025-12-04T11:28:29.9426052Z Running 71 items in this shard 2025-12-04T11:28:29.9426058Z 2025-12-04T11:28:29.9427174Z inductor/test_compile_subprocess.py::GPUTests::test_randint_int64_mod_cuda <- test/inductor/test_torchinductor.py W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9427647Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9428632Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9429026Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9429866Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9430504Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9431331Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9431746Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9432588Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9433137Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9433977Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9434426Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9435245Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9435771Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9436575Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9437113Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9437910Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9438476Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9439329Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9439912Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9440730Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9441356Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9442280Z W1204 11:26:36.674000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.inductor_seeds.default 2025-12-04T11:28:29.9442392Z PASSED [3.2423s] [ 1%] 2025-12-04T11:28:29.9443503Z inductor/test_compile_subprocess.py::GPUTests::test_randint_kernel_count_cuda <- test/inductor/test_torchinductor.py W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9443996Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9444899Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9445313Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9446157Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9446745Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9447533Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9447948Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9448786Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9449349Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9450173Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9450621Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9451551Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9452077Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9452896Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9453459Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9454258Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9454826Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9455618Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9456233Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9457046Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9457684Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9458591Z W1204 11:26:37.351000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.inductor_seeds.default 2025-12-04T11:28:29.9458725Z PASSED [0.5453s] [ 2%] 2025-12-04T11:28:29.9459342Z inductor/test_compile_subprocess.py::GPUTests::test_reduction_config_limit_cuda <- test/inductor/test_torchinductor.py PASSED [0.0038s] [ 4%] 2025-12-04T11:28:29.9460465Z inductor/test_compile_subprocess.py::GPUTests::test_reflection_pad2d_backward_cuda <- test/inductor/test_torchinductor.py W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9460934Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9461823Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9462218Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9463057Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9463635Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9464433Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9464836Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9465690Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9466245Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9467124Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9467575Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9468376Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9468911Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9469711Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9470275Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9471078Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9471641Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9472464Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9473040Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9473894Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9474522Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9475368Z W1204 11:26:37.952000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9475879Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9476337Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9477243Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9477626Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9478477Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9479059Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9479859Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9480265Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9481131Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9481693Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9482521Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9482981Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9483788Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9484354Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9485157Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9485678Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9486520Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9487117Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9487918Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9488490Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9489310Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9489937Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9490765Z W1204 11:26:38.228000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9491369Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9491830Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9492731Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9493116Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9493957Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9494546Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9495372Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9495792Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9496630Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9497199Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9498023Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9498504Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9499316Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9499840Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9500681Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9501233Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9502044Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9502594Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9503380Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9503965Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9504962Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9505607Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9506436Z W1204 11:26:38.580000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9506952Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9507408Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9508297Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9508697Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9509607Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9510201Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9510987Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9511406Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9512352Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9512909Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9513750Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9514243Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9515056Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9515621Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9516425Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9516956Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9517754Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9518322Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9519115Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9519702Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9520517Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9521142Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9521990Z W1204 11:26:39.395000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9522495Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9522968Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9523887Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9524283Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9525127Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9525707Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9526539Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9526950Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9527804Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9528386Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9529222Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9529696Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9530507Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9531109Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9531915Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9532451Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9533252Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9533807Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9534613Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9535191Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9536013Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9536642Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9537516Z W1204 11:26:40.110000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9538026Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9538481Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9539384Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9539767Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9540649Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9541231Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9542031Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9542477Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9543315Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9543908Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9544739Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9545194Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9546007Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9546546Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9547352Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9547880Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9548690Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9549245Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9550052Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9550627Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9551478Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9552104Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9552939Z W1204 11:26:41.103000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9553456Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9553915Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9554852Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9555240Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9556080Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9556702Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9557523Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9557943Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9558780Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9559352Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9560180Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9560624Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9561444Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9561968Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9562776Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9563298Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9564110Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9564667Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9565482Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9566074Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9566889Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9567525Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9568385Z W1204 11:26:41.757000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9568903Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9569361Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9570255Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9570677Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9571619Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9572213Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9573001Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9573402Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9574253Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9574810Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9575654Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9576096Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9576919Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9577443Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9578242Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9578781Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9579614Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9580185Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9580977Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9581561Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9582403Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9583033Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9583874Z W1204 11:26:42.134000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9584414Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9584886Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9585806Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9586202Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9587041Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9587620Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9588421Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9588827Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9589682Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9590231Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9591067Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9591516Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9592322Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9592855Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9593686Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9594223Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9595025Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9595581Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9596423Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9596997Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9597820Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9598473Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9599346Z W1204 11:26:42.499000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9599851Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9600312Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9601213Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9601597Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9602445Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9603027Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9603824Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9604224Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9605220Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9605791Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9606619Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9607133Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9607942Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9608475Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9609277Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9609802Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9610656Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9611277Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9612088Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9612705Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9613570Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9614202Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9615036Z W1204 11:26:42.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9615553Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9616011Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9616911Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9617297Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9618142Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9618733Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9619532Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9619949Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9620796Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9621388Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9622213Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9622659Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9623468Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9623994Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9624837Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9625365Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9626175Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9626832Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9627693Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9628281Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9629091Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9629728Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9630556Z W1204 11:26:43.533000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9631081Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9631541Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9632436Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9632829Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9633671Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9634261Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9635049Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9635482Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9636338Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9636889Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9637727Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9638175Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9639018Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9639544Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9640373Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9640909Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9641738Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9642304Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9643097Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9643684Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9644499Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9645127Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9645976Z W1204 11:26:43.987000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9646483Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9646955Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9647845Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9648240Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9649128Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9649707Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9650504Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9650911Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9651857Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9652443Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9653289Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9653733Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9654569Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9655101Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9655939Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9656474Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9657272Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9657829Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9658635Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9659210Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9660041Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9660664Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9661509Z W1204 11:26:44.422000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9662012Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9662470Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9663401Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9663784Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9664636Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9665217Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9666020Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9666453Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9667291Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9667848Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9668703Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9669182Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9669988Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9670522Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9671319Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9671842Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9672648Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9673204Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9674011Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9674581Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9675403Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9676027Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9676859Z W1204 11:26:44.864000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9677008Z PASSED [7.3812s] [ 5%] 2025-12-04T11:28:29.9678095Z inductor/test_compile_subprocess.py::GPUTests::test_reflection_pad2d_cuda <- test/inductor/test_torchinductor.py W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9678565Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9679458Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9679850Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9680725Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9681304Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9682097Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9682531Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9683375Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9683958Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9684787Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9685238Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9686047Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9686575Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9687384Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9687913Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9688709Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9689261Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9690054Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9690629Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9691569Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9692200Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9693046Z W1204 11:26:45.296000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9693553Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9694010Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9694943Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9695327Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9696182Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9696787Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9697627Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9698029Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9698871Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9699433Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9700260Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9700716Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9701517Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9702046Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9702847Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9703366Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9704181Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9704887Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9705749Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9706322Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9707136Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9707767Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9708723Z W1204 11:26:46.122000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9708834Z PASSED [1.2425s] [ 7%] 2025-12-04T11:28:29.9709348Z inductor/test_compile_subprocess.py::GPUTests::test_relu_cuda <- test/inductor/test_torchinductor.py PASSED [15.4317s] [ 8%] 2025-12-04T11:28:29.9710350Z inductor/test_compile_subprocess.py::GPUTests::test_remove_no_ops_cuda <- test/inductor/test_torchinductor.py W1204 11:27:01.982000 106430 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.9710894Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9711389Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9712296Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9712675Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9713526Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9714104Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9714900Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9715305Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9716142Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9716699Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9717527Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9717978Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9718785Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9719334Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9720138Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9720659Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9721464Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9722014Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9722847Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9723421Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9724260Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9724891Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9725830Z W1204 11:27:03.315000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9726305Z W1204 11:27:03.326000 105954 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T11:28:29.9726807Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9727274Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9728163Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9728545Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9729397Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9729973Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9730770Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9731234Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9732082Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9732640Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9733568Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9734027Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9734834Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9735362Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9736195Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9736717Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9737526Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9738107Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9738908Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9739509Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9740330Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9740955Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9741865Z W1204 11:27:04.123000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9741976Z PASSED [2.9923s] [ 9%] 2025-12-04T11:28:29.9742553Z inductor/test_compile_subprocess.py::GPUTests::test_repeat_as_strided_cuda <- test/inductor/test_torchinductor.py PASSED [0.7595s] [ 11%] 2025-12-04T11:28:29.9743761Z inductor/test_compile_subprocess.py::GPUTests::test_repeat_interleave_Tensor_decomp_int32_nd_1_cuda <- test/inductor/test_torchinductor.py W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9744220Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9745116Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9745499Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9746340Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9746926Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9747740Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9748152Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9748988Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9749547Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9750397Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9750844Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9751660Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9752226Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9753036Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9753581Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9754383Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9754945Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9755731Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9756316Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9757123Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9757762Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9758597Z W1204 11:27:05.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9758695Z PASSED [0.2916s] [ 12%] 2025-12-04T11:28:29.9759900Z inductor/test_compile_subprocess.py::GPUTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_cuda <- test/inductor/test_torchinductor.py W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9760362Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9761288Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9761671Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9762521Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9763096Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9763885Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9764327Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9765168Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9765726Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9766584Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9767034Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9767870Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9768396Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9769203Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9769727Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9770534Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9771164Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9771976Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9772550Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9773362Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9773995Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9774826Z W1204 11:27:05.999000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9774937Z PASSED [0.2765s] [ 14%] 2025-12-04T11:28:29.9775510Z inductor/test_compile_subprocess.py::GPUTests::test_resize_as_cuda <- test/inductor/test_torchinductor.py PASSED [14.4570s] [ 15%] 2025-12-04T11:28:29.9776131Z inductor/test_compile_subprocess.py::GPUTests::test_reuse_buffers_with_aliasing_cuda <- test/inductor/test_torchinductor.py PASSED [8.6475s] [ 16%] 2025-12-04T11:28:29.9776819Z inductor/test_compile_subprocess.py::GPUTests::test_scaled_dot_product_efficient_attention_cuda <- test/inductor/test_torchinductor.py PASSED [0.3450s] [ 18%] 2025-12-04T11:28:29.9777443Z inductor/test_compile_subprocess.py::GPUTests::test_scatter2_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0035s] (unstable on sm86) [ 19%] 2025-12-04T11:28:29.9777986Z inductor/test_compile_subprocess.py::GPUTests::test_scatter5_cuda <- test/inductor/test_torchinductor.py PASSED [1.0852s] [ 21%] 2025-12-04T11:28:29.9778533Z inductor/test_compile_subprocess.py::GPUTests::test_scatter6_cuda <- test/inductor/test_torchinductor.py PASSED [0.9576s] [ 22%] 2025-12-04T11:28:29.9779228Z inductor/test_compile_subprocess.py::GPUTests::test_scatter_add1_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Flaky test, needs debugging) [ 23%] 2025-12-04T11:28:29.9779779Z inductor/test_compile_subprocess.py::GPUTests::test_scatter_add2_cuda <- test/inductor/test_torchinductor.py PASSED [0.5496s] [ 25%] 2025-12-04T11:28:29.9780368Z inductor/test_compile_subprocess.py::GPUTests::test_scatter_reduce1_cuda <- test/inductor/test_torchinductor.py PASSED [0.5983s] [ 26%] 2025-12-04T11:28:29.9780935Z inductor/test_compile_subprocess.py::GPUTests::test_scatter_reduce2_cuda <- test/inductor/test_torchinductor.py PASSED [0.8847s] [ 28%] 2025-12-04T11:28:29.9782091Z inductor/test_compile_subprocess.py::GPUTests::test_scheduler_vertical_fusion1_cuda <- test/inductor/test_torchinductor.py W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9782561Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9783454Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9783841Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9784698Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9785273Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9786072Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9786474Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9787318Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9787871Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9788699Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9789155Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9789996Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9790527Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9791333Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9791863Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9792692Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9793250Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9794050Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9794659Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9795477Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9796129Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9797028Z W1204 11:27:33.874000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops._inductor_test.realize.default 2025-12-04T11:28:29.9797531Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9797993Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9798892Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9799270Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9800128Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9800704Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9801494Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9801908Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9802745Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9803334Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9804157Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9804756Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9805562Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9806085Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9806965Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9807481Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9808291Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9808882Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9809686Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9810301Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9811173Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9811812Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9812698Z W1204 11:27:34.618000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops._inductor_test.realize.default 2025-12-04T11:28:29.9812814Z PASSED [1.1664s] [ 29%] 2025-12-04T11:28:29.9813737Z inductor/test_compile_subprocess.py::GPUTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0003s] (Does not support SDPA or pre-SM80 hardware) [ 30%] 2025-12-04T11:28:29.9814322Z inductor/test_compile_subprocess.py::GPUTests::test_sdpa_unaligned_mask_cuda <- test/inductor/test_torchinductor.py PASSED [0.6834s] [ 32%] 2025-12-04T11:28:29.9814894Z inductor/test_compile_subprocess.py::GPUTests::test_select_scatter_cuda <- test/inductor/test_torchinductor.py PASSED [0.7162s] [ 33%] 2025-12-04T11:28:29.9815898Z inductor/test_compile_subprocess.py::GPUTests::test_sgn_cuda <- test/inductor/test_torchinductor.py W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9816371Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9817264Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9817696Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9818542Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9819120Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9819916Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9820325Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9821202Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9821754Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9822588Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9823062Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9823871Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9824431Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9825234Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9825766Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9826563Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9827123Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9827915Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9828486Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9829308Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9829930Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9830852Z W1204 11:27:36.630000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9830954Z PASSED [0.4588s] [ 35%] 2025-12-04T11:28:29.9832037Z inductor/test_compile_subprocess.py::GPUTests::test_sgn_extremal_cuda <- test/inductor/test_torchinductor.py W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9832506Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9833393Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9833786Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9834630Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9835243Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9836034Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9836432Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9837305Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9837887Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9838725Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9839169Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9839994Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9840819Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9843243Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9845733Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9848519Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9851476Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9854626Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9858156Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9860433Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9862096Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9863779Z W1204 11:27:37.036000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:29.9864939Z PASSED [0.3735s] [ 36%] 2025-12-04T11:28:29.9866118Z inductor/test_compile_subprocess.py::GPUTests::test_sign_dtype_cuda <- test/inductor/test_torchinductor.py PASSED [0.5092s] [ 38%] 2025-12-04T11:28:29.9867985Z inductor/test_compile_subprocess.py::GPUTests::test_single_elem_indirect_cuda <- test/inductor/test_torchinductor.py PASSED [0.4014s] [ 39%] 2025-12-04T11:28:29.9869846Z inductor/test_compile_subprocess.py::GPUTests::test_sizehint_issue1_cuda <- test/inductor/test_torchinductor.py W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9871540Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9873048Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9874500Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9875865Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9877819Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9879568Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9880910Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9882297Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9883828Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9885363Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9886787Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9888178Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9889653Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9891201Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9892687Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9894234Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9895750Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9897250Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9898768Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9900344Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9901918Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9903522Z W1204 11:27:38.175000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9905197Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9906311Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9907876Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9909285Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9910664Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9912230Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9913752Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9915075Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9916468Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9918003Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9919530Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9920941Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9922328Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9923795Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9925314Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9926792Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9928265Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9929756Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9931377Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9932897Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9934425Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9936041Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9937643Z W1204 11:27:38.611000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:29.9938751Z PASSED [0.7685s] [ 40%] 2025-12-04T11:28:29.9939521Z inductor/test_compile_subprocess.py::GPUTests::test_slice_mutation2_cuda <- test/inductor/test_torchinductor.py PASSED [0.3392s] [ 42%] 2025-12-04T11:28:29.9940782Z inductor/test_compile_subprocess.py::GPUTests::test_slice_scatter3_cuda <- test/inductor/test_torchinductor.py PASSED [0.4788s] [ 43%] 2025-12-04T11:28:29.9942036Z inductor/test_compile_subprocess.py::GPUTests::test_slice_scatter_cuda <- test/inductor/test_torchinductor.py PASSED [0.7809s] [ 45%] 2025-12-04T11:28:29.9943382Z inductor/test_compile_subprocess.py::GPUTests::test_slice_scatter_dtype_consistency_cuda <- test/inductor/test_torchinductor.py PASSED [0.7565s] [ 46%] 2025-12-04T11:28:29.9945388Z inductor/test_compile_subprocess.py::GPUTests::test_softmax_backward_data_cuda <- test/inductor/test_torchinductor.py W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9947556Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9949050Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9950460Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9951836Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9953401Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9954912Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9956296Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9957692Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9959228Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9960757Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9962168Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9963603Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9965071Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:29.9966535Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:29.9968034Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:29.9969491Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:29.9971116Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:29.9972611Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:29.9974123Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:29.9975659Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:29.9977235Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:29.9978838Z W1204 11:27:41.283000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.fma.default 2025-12-04T11:28:29.9980314Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:29.9981421Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:29.9982909Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:29.9984313Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:29.9985689Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:29.9987287Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:29.9988797Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:29.9990121Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:29.9991515Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:29.9993052Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:29.9994600Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:29.9996014Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:29.9997402Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:29.9998907Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0000428Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0001896Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0003363Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0005007Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0006507Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0008016Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0009550Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0011192Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0012876Z W1204 11:27:41.684000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:30.0014038Z PASSED [0.8123s] [ 47%] 2025-12-04T11:28:30.0015255Z inductor/test_compile_subprocess.py::GPUTests::test_softmax_cuda <- test/inductor/test_torchinductor.py W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0016887Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0018454Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0019876Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0021255Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0022824Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0024361Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0025704Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0027112Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0028687Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0030223Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0031671Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0033076Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0034553Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0036036Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0037513Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0038987Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0040498Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0041999Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0043513Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0045035Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0046623Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0048339Z W1204 11:27:43.004000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:30.0049491Z PASSED [1.5920s] [ 49%] 2025-12-04T11:28:30.0050286Z inductor/test_compile_subprocess.py::GPUTests::test_softmax_one_kernel_loop_cuda <- test/inductor/test_torchinductor.py PASSED [0.3860s] [ 50%] 2025-12-04T11:28:30.0051652Z inductor/test_compile_subprocess.py::GPUTests::test_split_cuda <- test/inductor/test_torchinductor.py PASSED [0.7214s] [ 52%] 2025-12-04T11:28:30.0052871Z inductor/test_compile_subprocess.py::GPUTests::test_split_cumprod_cuda <- test/inductor/test_torchinductor.py PASSED [1.2322s] [ 53%] 2025-12-04T11:28:30.0054148Z inductor/test_compile_subprocess.py::GPUTests::test_split_with_integer_cuda <- test/inductor/test_torchinductor.py PASSED [1.1825s] [ 54%] 2025-12-04T11:28:30.0055417Z inductor/test_compile_subprocess.py::GPUTests::test_split_with_list_cuda <- test/inductor/test_torchinductor.py PASSED [1.7158s] [ 56%] 2025-12-04T11:28:30.0056870Z inductor/test_compile_subprocess.py::GPUTests::test_stride_preservation_with_stride_modifying_fx_pass_cuda <- test/inductor/test_torchinductor.py PASSED [0.1684s] [ 57%] 2025-12-04T11:28:30.0058257Z inductor/test_compile_subprocess.py::GPUTests::test_sum1_cuda <- test/inductor/test_torchinductor.py PASSED [0.6080s] [ 59%] 2025-12-04T11:28:30.0059442Z inductor/test_compile_subprocess.py::GPUTests::test_sum_dtype_cuda <- test/inductor/test_torchinductor.py PASSED [0.8381s] [ 60%] 2025-12-04T11:28:30.0061255Z inductor/test_compile_subprocess.py::GPUTests::test_tan_cuda <- test/inductor/test_torchinductor.py PASSED [0.9145s] [ 61%] 2025-12-04T11:28:30.0062413Z inductor/test_compile_subprocess.py::GPUTests::test_tensor2_cuda <- test/inductor/test_torchinductor.py PASSED [0.4106s] [ 63%] 2025-12-04T11:28:30.0063720Z inductor/test_compile_subprocess.py::GPUTests::test_tensor_index_put_slice_cuda <- test/inductor/test_torchinductor.py PASSED [3.3065s] [ 64%] 2025-12-04T11:28:30.0065034Z inductor/test_compile_subprocess.py::GPUTests::test_tensor_index_slice_cuda <- test/inductor/test_torchinductor.py PASSED [0.9729s] [ 66%] 2025-12-04T11:28:30.0066823Z inductor/test_compile_subprocess.py::GPUTests::test_to_device_constant_cuda <- test/inductor/test_torchinductor.py W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0068509Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0070007Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0071426Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0072807Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0074367Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0075868Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0077205Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0078598Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0080142Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0081690Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0083099Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0084497Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0085971Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0087473Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0088949Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0090407Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0092035Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0093542Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0095161Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0096691Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0098277Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0099889Z W1204 11:27:56.186000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:30.0101370Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0102480Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0103968Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0105511Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0106885Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0108454Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0109972Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0111359Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0112752Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0114293Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0115818Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0117225Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0118670Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0120138Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0121613Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0123142Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0124610Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0126149Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0127638Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0129331Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0130910Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0132581Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0134187Z W1204 11:27:56.412000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:30.0135263Z PASSED [0.4536s] [ 67%] 2025-12-04T11:28:30.0136489Z inductor/test_compile_subprocess.py::GPUTests::test_to_device_cuda <- test/inductor/test_torchinductor.py W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0138123Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0139683Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0141108Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0142531Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0144135Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0145643Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0146983Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0148375Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0149945Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0151458Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0152879Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0154325Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0156075Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0157554Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0159023Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0160501Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0162014Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0163676Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0165198Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0166750Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0168359Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0169991Z W1204 11:27:56.609000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.device_put.default 2025-12-04T11:28:30.0171473Z W1204 11:27:56.616000 105954 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T11:28:30.0172533Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0173677Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0175185Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0176610Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0177992Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0179546Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0181090Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0182434Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0183836Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0185404Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0186921Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0188384Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0189789Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0191258Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0192724Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0194197Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0195671Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0197182Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0198685Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0200188Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0201726Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0203316Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0205206Z W1204 11:27:56.725000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:30.0206665Z W1204 11:27:56.735000 105954 site-packages/torch/_inductor/utils.py:2565] [0/0] DeviceCopy in input program 2025-12-04T11:28:30.0207307Z PASSED [0.3037s] [ 69%] 2025-12-04T11:28:30.0208069Z inductor/test_compile_subprocess.py::GPUTests::test_to_memory_format_cuda <- test/inductor/test_torchinductor.py PASSED [1.2290s] [ 70%] 2025-12-04T11:28:30.0209362Z inductor/test_compile_subprocess.py::GPUTests::test_torch_device_split_cuda <- test/inductor/test_torchinductor.py PASSED [0.0595s] [ 71%] 2025-12-04T11:28:30.0211315Z inductor/test_compile_subprocess.py::GPUTests::test_triton_kernel_bool_param_cuda <- test/inductor/test_torchinductor.py W1204 11:27:58.496000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0213033Z W1204 11:27:58.496000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0214541Z W1204 11:27:58.496000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0216181Z W1204 11:27:58.496000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0217563Z W1204 11:27:58.496000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0219175Z W1204 11:27:58.496000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0220689Z W1204 11:27:58.496000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0222038Z W1204 11:27:58.496000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0223383Z W1204 11:27:58.496000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] AttributeError: Can't pickle local object 'CommonTemplate.test_triton_kernel_bool_param..Model' 2025-12-04T11:28:30.0224821Z W1204 11:27:59.013000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0226101Z W1204 11:27:59.013000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0227604Z W1204 11:27:59.013000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0229017Z W1204 11:27:59.013000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0230392Z W1204 11:27:59.013000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0231961Z W1204 11:27:59.013000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0233471Z W1204 11:27:59.013000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0234813Z W1204 11:27:59.013000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0236180Z W1204 11:27:59.013000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] AttributeError: Can't pickle local object 'CommonTemplate.test_triton_kernel_bool_param..Model' 2025-12-04T11:28:30.0237214Z PASSED [1.0396s] [ 73%] 2025-12-04T11:28:30.0238400Z inductor/test_compile_subprocess.py::GPUTests::test_triu_cuda <- test/inductor/test_torchinductor.py W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0240024Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0241708Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0243577Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0244960Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0246513Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0248062Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0249409Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0250844Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0252446Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0253976Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0255409Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0256812Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0258292Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0259759Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0261235Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0262711Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0264219Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0265719Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0267257Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0268880Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0270480Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0272085Z W1204 11:27:59.291000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:30.0273560Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0274712Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0276226Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0277646Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0279773Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0281391Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0282913Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0284255Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0285657Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0287198Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0288713Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0290141Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0291652Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0293138Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0294609Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0296085Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0297566Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0299112Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0300615Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0302123Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0303669Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0305453Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0307071Z W1204 11:27:59.665000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:30.0308160Z PASSED [0.7433s] [ 74%] 2025-12-04T11:28:30.0308864Z inductor/test_compile_subprocess.py::GPUTests::test_uint_cuda <- test/inductor/test_torchinductor.py PASSED [0.2610s] [ 76%] 2025-12-04T11:28:30.0310085Z inductor/test_compile_subprocess.py::GPUTests::test_unbind_cuda <- test/inductor/test_torchinductor.py PASSED [0.3480s] [ 77%] 2025-12-04T11:28:30.0311384Z inductor/test_compile_subprocess.py::GPUTests::test_unfold_zero_dimension_tensor_cuda <- test/inductor/test_torchinductor.py PASSED [0.1336s] [ 78%] 2025-12-04T11:28:30.0312789Z inductor/test_compile_subprocess.py::GPUTests::test_unspec_inputs_float64_cuda <- test/inductor/test_torchinductor.py PASSED [0.8774s] [ 80%] 2025-12-04T11:28:30.0314095Z inductor/test_compile_subprocess.py::GPUTests::test_unspec_inputs_int16_cuda <- test/inductor/test_torchinductor.py PASSED [0.5515s] [ 81%] 2025-12-04T11:28:30.0315407Z inductor/test_compile_subprocess.py::GPUTests::test_unspec_inputs_int64_cuda <- test/inductor/test_torchinductor.py PASSED [0.5625s] [ 83%] 2025-12-04T11:28:30.0316682Z inductor/test_compile_subprocess.py::GPUTests::test_unsqueeze_cuda <- test/inductor/test_torchinductor.py PASSED [0.6051s] [ 84%] 2025-12-04T11:28:30.0318467Z inductor/test_compile_subprocess.py::GPUTests::test_upsample_bicubic2d_cuda <- test/inductor/test_torchinductor.py W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0320156Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0321670Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0323091Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0324466Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0326031Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0327540Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0328890Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0330319Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0331933Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0333453Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0334877Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0336285Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0337802Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0339276Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0340739Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0342246Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0343783Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0345285Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0346795Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0348322Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0349905Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0351512Z W1204 11:28:04.153000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:30.0353007Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0354107Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0355608Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0357033Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0358408Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0359984Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0361660Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0363004Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0364406Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0365942Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0367499Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0368907Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0370305Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0372061Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0373549Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0375058Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0376538Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0378049Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0379643Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0381162Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0382685Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0384273Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0385960Z W1204 11:28:09.562000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:30.0387123Z PASSED [11.2613s] [ 85%] 2025-12-04T11:28:30.0388427Z inductor/test_compile_subprocess.py::GPUTests::test_upsample_bilinear2d_b_cuda <- test/inductor/test_torchinductor.py W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0390119Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0391662Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0393082Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0394463Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0396014Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0397523Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0398908Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0400311Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0401852Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0403402Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0405008Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0406489Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0407973Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0409448Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0410917Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0412495Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0414009Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0415514Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0417015Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0418559Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0420144Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0421755Z W1204 11:28:14.714000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:30.0423293Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0424401Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0425914Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0427337Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0428715Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0430326Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0431831Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0433171Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0434603Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0436138Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0437680Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0439109Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0440505Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0441982Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0443452Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0444913Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0446392Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0447894Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0449397Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0450908Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0452494Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0454118Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0455805Z W1204 11:28:15.432000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:30.0456963Z PASSED [1.4640s] [ 87%] 2025-12-04T11:28:30.0457923Z inductor/test_compile_subprocess.py::GPUTests::test_upsample_cat_conv_cuda <- test/inductor/test_torchinductor.py SKIPPED [0.0034s] (only support cpu upsample_cat_conv test) [ 88%] 2025-12-04T11:28:30.0459931Z inductor/test_compile_subprocess.py::GPUTests::test_upsample_nearest1d_cuda <- test/inductor/test_torchinductor.py W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0461652Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0463153Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0464601Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0465965Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0468091Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0469609Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0470943Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0472451Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0473983Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0475505Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0476930Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0478325Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0479784Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0481262Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0482895Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0484375Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0485921Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0487411Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0488917Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0490444Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0492149Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0493757Z W1204 11:28:16.177000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:30.0495232Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0496375Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0497869Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0499322Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0500687Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0502254Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0503761Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0505270Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0506668Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0508195Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0509727Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0511151Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0512567Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0514045Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0515519Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0517071Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0518554Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0520068Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0521553Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0523117Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0524657Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0526243Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0527967Z W1204 11:28:16.747000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:30.0529154Z PASSED [1.1113s] [ 90%] 2025-12-04T11:28:30.0530440Z inductor/test_compile_subprocess.py::GPUTests::test_upsample_nearest3d_cuda <- test/inductor/test_torchinductor.py W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0532206Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0533710Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0535129Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0536494Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0538071Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0539590Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0540932Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0542316Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0543859Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0545386Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0546811Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0548249Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0549715Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0551198Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0560121Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0561822Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0563337Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0564837Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0566394Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0567926Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0569536Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0571248Z W1204 11:28:17.462000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.iota.default 2025-12-04T11:28:30.0572730Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0573841Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0575336Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0576733Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0578109Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0579666Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0581175Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0582506Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0583890Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0585463Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0586978Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0588389Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0589775Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0591243Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0592736Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0594202Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0595675Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0597262Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0598749Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0599361Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0600175Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0600797Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0601727Z W1204 11:28:18.521000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:30.0601832Z PASSED [2.0893s] [ 91%] 2025-12-04T11:28:30.0602388Z inductor/test_compile_subprocess.py::GPUTests::test_vdd_clamp_cuda <- test/inductor/test_torchinductor.py PASSED [0.4576s] [ 92%] 2025-12-04T11:28:30.0602949Z inductor/test_compile_subprocess.py::GPUTests::test_view_on_aliased_cuda <- test/inductor/test_torchinductor.py PASSED [1.3598s] [ 94%] 2025-12-04T11:28:30.0603464Z inductor/test_compile_subprocess.py::GPUTests::test_views4_cuda <- test/inductor/test_torchinductor.py PASSED [1.8332s] [ 95%] 2025-12-04T11:28:30.0603988Z inductor/test_compile_subprocess.py::GPUTests::test_views5_cuda <- test/inductor/test_torchinductor.py PASSED [0.2942s] [ 97%] 2025-12-04T11:28:30.0604662Z inductor/test_compile_subprocess.py::GPUTests::test_views6_cuda <- test/inductor/test_torchinductor.py PASSED [0.4798s] [ 98%] 2025-12-04T11:28:30.0605772Z inductor/test_compile_subprocess.py::GPUTests::test_zero_element_mutation_cuda <- test/inductor/test_torchinductor.py W1204 11:28:23.728000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0606230Z W1204 11:28:23.728000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0607196Z W1204 11:28:23.728000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0607576Z W1204 11:28:23.728000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0608417Z W1204 11:28:23.728000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0609008Z W1204 11:28:23.728000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0609800Z W1204 11:28:23.728000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0610259Z W1204 11:28:23.728000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0611110Z W1204 11:28:23.728000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] AttributeError: Can't pickle local object 'CommonTemplate.test_zero_element_mutation..CustomModel' 2025-12-04T11:28:30.0611636Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Unable to pickle input graph or example inputs 2025-12-04T11:28:30.0612139Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] Traceback (most recent call last): 2025-12-04T11:28:30.0613030Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 486, in serialize_compile 2025-12-04T11:28:30.0613465Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] ).serialize() 2025-12-04T11:28:30.0614307Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx_ext.py", line 210, in serialize 2025-12-04T11:28:30.0614897Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _WireProtocolPickledInput(GraphPickler.dumps(self)) 2025-12-04T11:28:30.0615686Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 127, in dumps 2025-12-04T11:28:30.0616094Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] pickler.dump(obj) 2025-12-04T11:28:30.0616942Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 94, in reducer_override 2025-12-04T11:28:30.0617493Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return _GraphModulePickleData.reduce_helper(self, obj) 2025-12-04T11:28:30.0618331Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 352, in reduce_helper 2025-12-04T11:28:30.0618778Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] cls(obj, pickler.options), 2025-12-04T11:28:30.0619593Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 364, in __init__ 2025-12-04T11:28:30.0620116Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.graph = _GraphPickleData(gm._graph, options) 2025-12-04T11:28:30.0620946Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 571, in __init__ 2025-12-04T11:28:30.0621479Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] nodes[node] = _NodePickleData(node, nodes, options) 2025-12-04T11:28:30.0622273Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 387, in __init__ 2025-12-04T11:28:30.0622837Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] self.target = _OpPickleData.pickle(node.target, options) 2025-12-04T11:28:30.0623664Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 435, in pickle 2025-12-04T11:28:30.0624790Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] return cls._pickle_op(name, _OpOverloadPickleData, options) 2025-12-04T11:28:30.0625609Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/_graph_pickler.py", line 456, in _pickle_op 2025-12-04T11:28:30.0626232Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] raise BypassFxGraphCache(f"Unable to pickle non-standard op: {name}") 2025-12-04T11:28:30.0627188Z W1204 11:28:23.865000 105954 site-packages/torch/_inductor/compile_fx_ext.py:493] [0/0] torch._inductor.codecache.BypassFxGraphCache: Unable to pickle non-standard op: torch.ops.prims.convert_element_type.default 2025-12-04T11:28:30.0627342Z PASSED [0.2823s] [100%] 2025-12-04T11:28:30.0627349Z 2025-12-04T11:28:30.0628182Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-70b3477143af3e30.xml - 2025-12-04T11:28:30.0628408Z ========== 67 passed, 4 skipped, 241 deselected in 109.99s (0:01:49) =========== 2025-12-04T11:28:30.0630476Z The following tests failed consistently: ['test/inductor/test_compile_subprocess.py::GPUTests::test_int8_weight_only_quant_cuda', 'test/inductor/test_compile_subprocess.py::GPUTests::test_linalg_eig_stride_consistency_cuda', 'test/inductor/test_compile_subprocess.py::GPUTests::test_lite_regional_compile_flex_attention_cuda', 'test/inductor/test_compile_subprocess.py::GPUTests::test_prepare_softmax_with_fast_math_cuda'] 2025-12-04T11:28:30.0630487Z 2025-12-04T11:28:30.0631102Z FINISHED PRINTING LOG FILE of inductor/test_compile_subprocess 2/3 (test/test-reports/inductor.test_compile_subprocess_2.3_f87510253e70d3af_.log) 2025-12-04T11:28:30.0631110Z 2025-12-04T11:28:30.0631510Z Finished inductor/test_compile_subprocess 2/3 ... [2025-12-04 11:28:29.593675][6945.343211991], took 11.91min 2025-12-04T11:28:30.0632383Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-f69285379d14bdaf.xml 2025-12-04T11:28:30.0633253Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-6f8c6cfdc96d8423.xml 2025-12-04T11:28:30.0634165Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-4401f11930aba9a4.xml 2025-12-04T11:28:30.0635028Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-a68a93738ed294f6.xml 2025-12-04T11:28:30.0635904Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-c822f111d9d47441.xml 2025-12-04T11:28:30.0636802Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-6057ec771480d847.xml 2025-12-04T11:28:30.0637683Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-8e2bfe2670bb2578.xml 2025-12-04T11:28:30.0638548Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-ed0f337e0f70d336.xml 2025-12-04T11:28:30.0639411Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-527ea474b556331f.xml 2025-12-04T11:28:30.0640315Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-bf83a856283a1c9b.xml 2025-12-04T11:28:30.0641177Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-61326cd296967c24.xml 2025-12-04T11:28:30.1012300Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-bc90e3dcebb6bbbf.xml 2025-12-04T11:28:30.1706250Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_compile_subprocess/inductor.test_compile_subprocess-70b3477143af3e30.xml 2025-12-04T11:28:30.4927289Z Uploading logs for 57119749297 to S3 2025-12-04T11:28:30.5822320Z Uploading artifacts took 0.37 seconds 2025-12-04T11:28:30.5822796Z inductor/test_compile_subprocess 2/3 failed! 2025-12-04T11:28:30.5827468Z Running inductor/test_deterministic 4/8 ... [2025-12-04 11:28:30.582568][6946.332112947] 2025-12-04T11:28:30.5828086Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:28:30.5832776Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_deterministic.py', '--shard-id=4', '--num-shards=8', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:28:30.583023] 2025-12-04T11:30:55.0039973Z 2025-12-04T11:30:55.0041227Z inductor/test_deterministic 4/8 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_deterministic_4.8_594383d86808c620_.log 2025-12-04T11:30:55.0046229Z Running 5 items in this shard: test/inductor/test_deterministic.py::DeterministicTest::test_run2run_determinism_model_name_BertForMaskedLM_training_or_inference_inference_precision_bfloat16, test/inductor/test_deterministic.py::DeterministicTest::test_run2run_determinism_model_name_BertForMaskedLM_training_or_inference_inference_precision_float16, test/inductor/test_deterministic.py::DeterministicTest::test_run2run_determinism_model_name_BertForMaskedLM_training_or_inference_training_precision_bfloat16, test/inductor/test_deterministic.py::DeterministicTest::test_run2run_determinism_model_name_DistillGPT2_training_or_inference_inference_precision_float32, test/inductor/test_deterministic.py::DeterministicTest::test_run2run_determinism_model_name_DistillGPT2_training_or_inference_training_precision_float16 2025-12-04T11:30:55.0050456Z 2025-12-04T11:30:55.0050827Z Finished inductor/test_deterministic 4/8 ... [2025-12-04 11:30:55.003761][7090.753305619], took 2.41min 2025-12-04T11:30:55.0123872Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_deterministic/inductor.test_deterministic-b258b52da005b778.xml 2025-12-04T11:30:55.1028090Z Running export/test_retraceability 1/1 ... [2025-12-04 11:30:55.102547][7090.852092642] 2025-12-04T11:30:55.1028692Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:30:55.1032006Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_retraceability.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:30:55.102941] 2025-12-04T11:36:34.2435931Z 2025-12-04T11:36:34.2439043Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_ed8b6536cb4af7da_.log 2025-12-04T11:36:34.3022417Z Running 880 items in this shard: test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_assume_static_by_default_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_constraints_error_not_in_range_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_constraints_error_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_inline_constraints_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_slice_maxsize_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_slice_unbacked_dim1_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_strict_narrow_unbacked_expr_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_no_grad_param_inplace_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_reshape_view_backed_size_oblivious_retraceability_strict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_assume_static_by_default_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_constraints_error_not_in_range_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_constraints_error_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_inline_constraints_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_slice_maxsize_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_slice_unbacked_dim1_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_strict_narrow_unbacked_expr_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_no_grad_param_inplace_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_reshape_view_backed_size_oblivious_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportTestExport::test__scaled_dot_product_flash_attention_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_additional_inputs_constants_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_allow_explicit_guards_as_runtime_asserts_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_annotate_on_assert_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_args_type_checked_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_aten_lift_fresh_copy_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_attention_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_attr_assignment_extra_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_automatic_constrain_size_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_automatic_dynamic_shapes_constant_relation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_automatic_dynamic_shapes_linear_relation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_automatic_dynamic_shapes_simple_equality_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_baddbmm_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_basic_non_strict_fake_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_basic_non_strict_real_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_bincount_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_buffer_util_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_capture_subclass_constructor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_capture_subclass_constructor_torch_ir_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_capture_subclass_wrong_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_ccode_python_mod_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cdist_forward_compute_mode_zero_export_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_check_specialized_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_checks_to_constrain_range_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cleanup_dynamic_markers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_colin_unbacked_backed_vr_sub_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_colon_parameter_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_compiling_state_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_access_identical_symint_closure_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_branches_return_constant_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_branches_return_same_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_contains_unbacked_no_escape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_int_closure_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_unflatten_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_with_module_stack_export_with_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_with_module_stack_export_with_unflatten_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_aliasing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_input_naming_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_no_user_inp_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_output_dup_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_output_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_requires_grad_const_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_return_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_tensor_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_tensor_with_non_functional_nested_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_tensor_with_non_functional_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_decomp_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_size_in_eager_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_size_with_constrain_value_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_size_with_various_cases_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_conv_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_crop_like_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cse_for_symint_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_auto_functionalize_pre_dispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_auto_functionalize_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_auto_warn_pre_dispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_preserve_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_pytree_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_tag_metadata_re_export_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_decomp_batch_norm_functional_predispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_decomp_item_in_prim_after_decomposition_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_decomp_item_in_prim_before_decomposition_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_default_decomposition_core_cia_ops_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_1_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_integer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_nested_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_repeat_derived_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_simplified_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_repeat_derived_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_detect_leak_nonstrict_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_detect_leak_nonstrict_with_stacktrace_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_detect_leak_strict_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_gpu_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_mutation_float_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_static_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_1_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_auto_and_dim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_dynamic_divisibility_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_dynamic_specialization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_hint_range_violations_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_hint_ranges_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_disable_forced_specializations_errors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_disable_forced_specializations_ok_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_all_gather_into_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_all_gather_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_all_reduce_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_all_to_all_single_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_reduce_scatter_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dont_duck_size_for_auto_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_double_lifted_constants_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_checks_aliasing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_checks_mutation_list_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_checks_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_checks_mutation_with_nan_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_fake_kernel_inference_errors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_infers_fake_kernel_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_duplicate_modules_with_non_persistent_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_lr_shift_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_bounds_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_builder_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_builder_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_builder_pytree_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_dataclass_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_inferred_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_serdes_generic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_serdes_user_errors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_serdes_various_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_spec_with_pytree_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_wrapped_with_shape_guards_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_sym_round_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_ends_of_bounds_oblivious_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_enum_str_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_error_does_not_reference_eager_fallback_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_error_when_passing_mutating_primitive_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_exception_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_expand_copy_export_handles_implicit_true_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_api_with_dynamic_shapes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_as_backend_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_associative_scan_lifted_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_associative_scan_symbol_dim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_associative_scan_symbol_scandim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_aten_to_unflatten_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_aten_to_unflatten_subclass_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cond_symbool_pred_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cond_warns_constant_pred_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_decomp_table_basic_pop_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_decomp_table_container_methods_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_op_lib_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_triton_kernel_mutable_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_triton_kernel_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cyclic_reference_leak_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomp_torture_case_1_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomp_torture_case_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomps_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomps_simple_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_dynamo_config_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_run_decomp_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_container_type_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_dynamic_shapes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_state_dict_hooks_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_default_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_keyword_only_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_pytree_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_var_keyword_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_var_keyword_pytree_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_var_postional_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_function_schema_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_graph_with_no_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_input_mutation_bug_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_input_mutation_dynamic_shape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_input_mutation_static_shape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_leak_compile_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_linear_preserve_dynamic_shape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_max_nonstrict_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_max_onnx_reported_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_method_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_mod_constraints_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_preserve_linear_at_aot_level_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_preserve_linear_but_not_custom_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_rnn_variants_with_warning_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_scan_pytree_output_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_script_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_statically_known_true_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_then_compile_tensor_ctor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_autocast_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_fake_tensor_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_inline_constraints_complex_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_inline_constraints_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_set_grad_enabled_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_wrong_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_external_call_non_strict_real_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_fake_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_fake_weights_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_filter_traceback_frames_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_flex_attention_export_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_float_conversion_from_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_float_conversion_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_fqn_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_from_node_metadata_export_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_full_on_scalar_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_function_holding_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_hints_wrapper_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_hoo_inline_users_issue_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_if_functional_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_if_post_autograd_op_preserved_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_inductor_backend_inside_nonstrict_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_inline_script_class_method_recursive_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_inline_script_class_method_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_inline_script_function_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_inline_script_method_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_int_shape_specialization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_intermediate_shape_comp_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_invalid_pytree_dynamo_graph_capture_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_is_exporting_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_is_nonzero_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_isnonzero_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_issue_113041_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_issue_157289_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_issue_161902_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_istft_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_keep_composite_ops_invalid_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_keep_composite_ops_linear_convd_for_training_ir_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_keep_composite_ops_linear_convd_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_kwarg_dynamic_shapes_diff_order_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_kwargs_reorder_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_layer_norm_unbacked_normalized_shape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_layer_sharing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_lazy_module_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_lifted_constants_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_linear_conv_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_malformed_fqn_from_source_name_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_map_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_map_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_mask_nonzero_static_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_masked_select_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_math_pow_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_mismatched_dynamic_shapes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_mixed_input_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_dict_key_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_input_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_input_subclasses_parameterization_nested_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_list_slice_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_with_dict_container_inp_out_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_modules_access_for_deleted_submodule_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_more_multidimensional_slicing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_multidimensional_slicing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_multinomial_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_multiple_definitions_same_name_dim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_namedtuple_input_export_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_native_multi_attention_head_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_dynamic_shapes_spec_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_fake_tensor_leak_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_with_constant_buffer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_with_init_buffer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_with_parameter_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nn_module_stack_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nn_module_stack_shared_submodule_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_check_is_size_error_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_suggested_fixes_for_data_dependent_errors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_3_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_4_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_arg_name_dynamic_shapes_api_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_persistent_buffer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_strict_dynamic_shapes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_strict_dynamic_shapes_suggested_fixes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_none_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nonstrict_retrace_preserves_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nonzero_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nonzero_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_not_registered_parameter_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_operator_aten_tensor_mode_variant_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_output_node_name_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_pad_sequence_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_param_util_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_partial_patched_forward_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_collisions_hoo_subgraphs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_collisions_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_order_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_order_variadic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_update_preserving_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_predispatch_cond_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_predispatch_grad_wrappers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_preserve_annotation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_preserve_module_call_signature_unflatten_specialization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_preserve_requires_grad_placeholders_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_preserve_shape_dynamism_for_unused_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_profiling_code_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_python_asserts_with_sym_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_pytree_register_data_class_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_pytree_register_nested_data_class_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_range_constraints_with_replacement_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_alias_dtype_mismatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_bool_cast_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_errors_on_aliasing_custom_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_for_max_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_size_mismatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_redundant_assert_max_upper_bound_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_redundant_asserts_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_refine_dynamic_shapes_from_suggested_fixes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_register_constant_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_repeat_interleave_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_replace_unbacked_with_very_large_upperbound_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_replaced_unbacked_bindings_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_reshape_view_helper_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_retracable_ep_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_retrace_pre_autograd_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_run_decomposition_supports_user_input_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_run_decompositions_keep_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_run_decompositions_keep_tensor_constant_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_runtime_assert_for_prim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_runtime_assert_for_prm_str_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_runtime_assert_with_size_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sdpa_gqa_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sequential_slicing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_set_example_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_set_grad_as_side_effect_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_set_grad_empty_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_set_grad_unflatten_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_setgrad_lifted_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_shared_submodule_nn_module_stack_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_simple_export_for_training_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_simple_unbacked_view_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_size_input_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_slice_nn_module_stack_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_solver_unsupported_sympy_function_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_specialize_derived_dim_roots_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_split_const_gm_with_lifted_constants_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_stack_trace_make_fx_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_stack_trace_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_state_primitives_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_state_shape_attribute_assignment_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_state_tensors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_static_dim_constraints_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_context_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_complicated_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_const_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_submodule_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclasses_parameterization_nested_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclasses_parameterization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggest_torch_checks_with_non_negative_check_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggest_torch_checks_with_regular_check_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggested_fixes_for_data_dependent_errors_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggested_fixes_new_roots_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sym_float_operators_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sym_or_sym_and_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sym_sqrt_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symbool_item_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symfloat_item_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_additional_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_ranges_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_shapes_collection_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_specialization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_item_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_output_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_tensor_return_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tag_ac_export_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tensor_attribute_zero_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tensor_constant_aten_to_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tensor_constant_with_wrapped_method_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_to_module_with_mutated_buffer_multiple_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_to_module_with_mutated_buffer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tolist_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_torch_check_eq_commutativity_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_torch_fn_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_trace_under_fake_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_train_eval_on_exported_preautograd_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tril_dynamic_diagonal_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_triu_dynamic_diagonal_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_3d_matmul_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_bincount_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_bindings_for_divisible_u_symint_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_deferred_runtime_retrace_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_expand_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_infer_size_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_kth_value_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_linear_layer_norm_input_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_noncontig_lin_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_pad_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_scalar_constructor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_slice_forward_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_slice_simple_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_stack_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_to_cond_passthrough_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_to_cond_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_unsqueeze_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_asserts_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_buffer_update_child2parent_swap_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_closure_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_isinstance_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_multiple_graphs_dispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_multiple_graphs_shared_submodule_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_multiple_graphs_state_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_no_unroll_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_placeholder_update_child2parent_swap_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_5_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_6_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_buf_8_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_const_preserving_3_1_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_const_preserving_3_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_4_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_6_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_9_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_preserving_4_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unused_aliases_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unused_constant_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_uplift_common_custom_meta_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_uplift_common_custom_meta_with_multiple_calls_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_use_embedding_twice_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_user_input_and_buffer_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_vmap_custom_autograd_function_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_vmap_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_vmap_to_assert_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_where_decomp_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_while_loop_assert_separation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_while_loop_index_assertions_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_while_loop_simple_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_while_loop_tensor_constant_idx_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_wrapper_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test__scaled_dot_product_flash_attention_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_additional_inputs_constants_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_allow_explicit_guards_as_runtime_asserts_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_annotate_on_assert_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_args_type_checked_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_aten_lift_fresh_copy_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_attention_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_attr_assignment_extra_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_automatic_constrain_size_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_automatic_dynamic_shapes_constant_relation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_automatic_dynamic_shapes_linear_relation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_automatic_dynamic_shapes_simple_equality_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_baddbmm_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_basic_non_strict_fake_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_basic_non_strict_real_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_bincount_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_buffer_util_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_capture_subclass_constructor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_capture_subclass_constructor_torch_ir_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_capture_subclass_wrong_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_ccode_python_mod_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cdist_forward_compute_mode_zero_export_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_check_specialized_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_checks_to_constrain_range_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cleanup_dynamic_markers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_colin_unbacked_backed_vr_sub_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_colon_parameter_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_compiling_state_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_access_identical_symint_closure_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_branches_return_constant_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_branches_return_same_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_contains_unbacked_no_escape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_int_closure_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_unflatten_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_with_module_stack_export_with_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_with_module_stack_export_with_unflatten_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_aliasing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_input_naming_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_no_user_inp_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_output_dup_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_output_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_requires_grad_const_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_return_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_tensor_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_tensor_with_non_functional_nested_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_tensor_with_non_functional_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constrain_decomp_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constrain_size_in_eager_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constrain_size_with_constrain_value_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constrain_size_with_various_cases_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_conv_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_crop_like_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cse_for_symint_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_op_auto_functionalize_pre_dispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_op_auto_functionalize_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_op_auto_warn_pre_dispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_op_preserve_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_pytree_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_tag_metadata_re_export_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_decomp_batch_norm_functional_predispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_decomp_item_in_prim_after_decomposition_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_decomp_item_in_prim_before_decomposition_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_default_decomposition_core_cia_ops_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_1_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_integer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_nested_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_out_of_order_repeat_derived_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_out_of_order_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_repeat_derived_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_detect_leak_nonstrict_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_detect_leak_nonstrict_with_stacktrace_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_detect_leak_strict_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_gpu_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_mutation_float_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_static_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_1_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_auto_and_dim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_dynamic_divisibility_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_dynamic_specialization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_hint_range_violations_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_hint_ranges_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_disable_forced_specializations_errors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_disable_forced_specializations_ok_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_all_gather_into_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_all_gather_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_all_reduce_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_all_to_all_single_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_reduce_scatter_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dont_duck_size_for_auto_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_double_lifted_constants_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_checks_aliasing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_checks_mutation_list_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_checks_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_checks_mutation_with_nan_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_fake_kernel_inference_errors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_infers_fake_kernel_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_duplicate_modules_with_non_persistent_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_lr_shift_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_bounds_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_builder_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_builder_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_builder_pytree_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_dataclass_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_inferred_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_serdes_generic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_serdes_user_errors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_serdes_various_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_spec_with_pytree_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_wrapped_with_shape_guards_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_sym_round_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_ends_of_bounds_oblivious_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_enum_str_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_error_does_not_reference_eager_fallback_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_error_when_passing_mutating_primitive_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_exception_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_expand_copy_export_handles_implicit_true_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_api_with_dynamic_shapes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_as_backend_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_associative_scan_lifted_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_associative_scan_symbol_dim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_associative_scan_symbol_scandim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_aten_to_unflatten_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_aten_to_unflatten_subclass_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_cond_symbool_pred_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_cond_warns_constant_pred_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_decomp_table_basic_pop_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_decomp_table_container_methods_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_op_lib_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_triton_kernel_mutable_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_triton_kernel_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_cyclic_reference_leak_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_decomp_torture_case_1_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_decomp_torture_case_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_decomps_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_decomps_simple_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_dynamo_config_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_run_decomp_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_with_container_type_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_with_dynamic_shapes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_with_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_with_state_dict_hooks_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_default_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_keyword_only_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_pytree_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_var_keyword_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_var_keyword_pytree_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_var_postional_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_function_schema_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_graph_with_no_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_input_mutation_bug_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_input_mutation_dynamic_shape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_input_mutation_static_shape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_leak_compile_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_linear_preserve_dynamic_shape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_max_nonstrict_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_max_onnx_reported_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_method_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_mod_constraints_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_preserve_linear_at_aot_level_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_preserve_linear_but_not_custom_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_rnn_variants_with_warning_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_scan_pytree_output_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_script_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_statically_known_true_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_then_compile_tensor_ctor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_autocast_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_fake_tensor_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_inline_constraints_complex_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_inline_constraints_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_set_grad_enabled_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_wrong_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_external_call_non_strict_real_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_fake_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_fake_weights_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_filter_traceback_frames_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_flex_attention_export_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_float_conversion_from_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_float_conversion_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_fqn_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_from_node_metadata_export_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_full_on_scalar_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_function_holding_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_hints_wrapper_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_hoo_inline_users_issue_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_if_functional_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_if_post_autograd_op_preserved_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_inductor_backend_inside_nonstrict_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_inline_script_class_method_recursive_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_inline_script_class_method_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_inline_script_function_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_inline_script_method_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_int_shape_specialization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_intermediate_shape_comp_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_invalid_pytree_dynamo_graph_capture_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_is_exporting_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_is_nonzero_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_isnonzero_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_issue_113041_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_issue_157289_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_issue_161902_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_istft_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_keep_composite_ops_invalid_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_keep_composite_ops_linear_convd_for_training_ir_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_keep_composite_ops_linear_convd_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_kwarg_dynamic_shapes_diff_order_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_kwargs_reorder_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_layer_norm_unbacked_normalized_shape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_layer_sharing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_lazy_module_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_lifted_constants_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_linear_conv_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_malformed_fqn_from_source_name_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_map_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_map_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_mask_nonzero_static_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_masked_select_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_math_pow_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_mismatched_dynamic_shapes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_mixed_input_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_dict_key_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_input_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_input_subclasses_parameterization_nested_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_list_slice_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_with_dict_container_inp_out_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_modules_access_for_deleted_submodule_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_more_multidimensional_slicing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_multidimensional_slicing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_multinomial_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_multiple_definitions_same_name_dim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_namedtuple_input_export_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_native_multi_attention_head_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_dynamic_shapes_spec_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_module_fake_tensor_leak_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_module_with_constant_buffer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_module_with_init_buffer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_module_with_parameter_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nn_module_stack_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nn_module_stack_shared_submodule_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_check_is_size_error_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_suggested_fixes_for_data_dependent_errors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_tensor_computation_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_tensor_computation_3_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_tensor_computation_4_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_tensor_computation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_persistent_buffer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_strict_dynamic_shapes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_strict_dynamic_shapes_suggested_fixes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_none_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nonstrict_retrace_preserves_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nonzero_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nonzero_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_not_registered_parameter_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_operator_aten_tensor_mode_variant_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_output_node_name_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_pad_sequence_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_param_util_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_partial_patched_forward_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_naming_collisions_hoo_subgraphs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_naming_collisions_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_naming_order_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_naming_order_variadic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_update_preserving_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_predispatch_cond_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_predispatch_grad_wrappers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_preserve_annotation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_preserve_module_call_signature_unflatten_specialization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_preserve_requires_grad_placeholders_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_preserve_shape_dynamism_for_unused_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_profiling_code_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_python_asserts_with_sym_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_pytree_register_data_class_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_pytree_register_nested_data_class_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_range_constraints_with_replacement_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_alias_dtype_mismatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_bool_cast_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_errors_on_aliasing_custom_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_for_max_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_size_mismatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_redundant_assert_max_upper_bound_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_redundant_asserts_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_refine_dynamic_shapes_from_suggested_fixes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_register_constant_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_repeat_interleave_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_replace_unbacked_with_very_large_upperbound_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_replaced_unbacked_bindings_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_reshape_view_helper_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_retracable_ep_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_retrace_pre_autograd_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_run_decomposition_supports_user_input_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_run_decompositions_keep_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_run_decompositions_keep_tensor_constant_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_runtime_assert_for_prim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_runtime_assert_for_prm_str_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_runtime_assert_with_size_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sdpa_gqa_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sequential_slicing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_set_example_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_set_grad_as_side_effect_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_set_grad_empty_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_set_grad_unflatten_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_setgrad_lifted_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_shared_submodule_nn_module_stack_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_simple_export_for_training_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_simple_unbacked_view_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_size_input_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_slice_nn_module_stack_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_solver_unsupported_sympy_function_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_specialize_derived_dim_roots_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_split_const_gm_with_lifted_constants_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_stack_trace_make_fx_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_stack_trace_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_state_primitives_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_state_shape_attribute_assignment_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_state_tensors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_static_dim_constraints_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_context_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_complicated_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_const_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_submodule_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclasses_parameterization_nested_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclasses_parameterization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggest_torch_checks_with_non_negative_check_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggest_torch_checks_with_regular_check_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggested_fixes_new_roots_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sym_float_operators_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sym_or_sym_and_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sym_sqrt_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symbool_item_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symfloat_item_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_additional_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_ranges_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_shapes_collection_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_specialization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_item_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_output_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_tensor_return_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tag_ac_export_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tensor_attribute_zero_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tensor_constant_aten_to_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tensor_constant_with_wrapped_method_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_to_module_with_mutated_buffer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tolist_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_torch_check_eq_commutativity_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_torch_fn_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_trace_under_fake_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_train_eval_on_exported_preautograd_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tril_dynamic_diagonal_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_triu_dynamic_diagonal_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_3d_matmul_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_bincount_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_bindings_for_divisible_u_symint_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_deferred_runtime_retrace_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_expand_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_infer_size_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_kth_value_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_linear_layer_norm_input_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_noncontig_lin_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_pad_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_scalar_constructor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_slice_forward_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_slice_simple_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_stack_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_to_cond_passthrough_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_to_cond_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_unsqueeze_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_asserts_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_buffer_update_child2parent_swap_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_closure_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_isinstance_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_multiple_graphs_dispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_multiple_graphs_shared_submodule_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_multiple_graphs_state_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_no_unroll_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_placeholder_update_child2parent_swap_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_5_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_6_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_buf_8_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_const_preserving_3_1_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_const_preserving_3_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_4_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_6_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_9_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_preserving_4_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unused_aliases_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unused_constant_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_uplift_common_custom_meta_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_uplift_common_custom_meta_with_multiple_calls_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_use_embedding_twice_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_user_input_and_buffer_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_vmap_custom_autograd_function_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_vmap_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_vmap_to_assert_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_where_decomp_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_while_loop_assert_separation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_while_loop_index_assertions_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_while_loop_simple_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_while_loop_tensor_constant_idx_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_wrapper_module_retraceability_nonstrict 2025-12-04T11:36:34.3590585Z 2025-12-04T11:36:34.3591216Z Finished export/test_retraceability 1/1 ... [2025-12-04 11:36:34.245765][7429.995304668], took 5.65min 2025-12-04T11:36:34.3592559Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_retraceability/export.test_retraceability-8b5249c9f34480e4.xml 2025-12-04T11:36:34.3642799Z Running dynamo/test_regional_inductor 1/1 ... [2025-12-04 11:36:34.363957][7430.113499826] 2025-12-04T11:36:34.3643394Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:36:34.3646655Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_regional_inductor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:36:34.364410] 2025-12-04T11:43:17.7876779Z 2025-12-04T11:43:17.7878048Z PRINTING LOG FILE of dynamo/test_regional_inductor 1/1 (test/test-reports/dynamo.test_regional_inductor_1.1_8bbbf73996532a9e_.log) 2025-12-04T11:43:17.7880312Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-29905baf73b4163f.xml 2025-12-04T11:43:17.7881741Z ============================= test session starts ============================== 2025-12-04T11:43:17.7882764Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.7883794Z cachedir: .pytest_cache 2025-12-04T11:43:17.7884949Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.7886193Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.7886805Z configfile: pytest.ini 2025-12-04T11:43:17.7888070Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.7889481Z collecting ... collected 20 items 2025-12-04T11:43:17.7890136Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T11:43:17.7908317Z Running 20 items in this shard: test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_annotation_inductor_configs, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_boxed_calling_convention, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invalid_inductor_config, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_inner_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_inner_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_max_autotune_no_cudagraphs_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_max_autotune_no_cudagraphs_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_repeated_blocks_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_repeated_blocks_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_simple_serialize_False, test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_simple_serialize_True, test/dynamo/test_regional_inductor.py::TestRegionalOutputCode::test_regional_compiled_forward_backward, test/dynamo/test_regional_inductor.py::TestRegionalOutputCode::test_regional_output_code_serialization, test/dynamo/test_regional_inductor.py::TestRegionalOutputCode::test_regional_output_code_with_backward 2025-12-04T11:43:17.7922979Z 2025-12-04T11:43:17.7924266Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_annotation_inductor_configs PASSED [5.4631s] [ 5%] 2025-12-04T11:43:17.7925406Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_boxed_calling_convention PASSED [1.5659s] [ 10%] 2025-12-04T11:43:17.7926605Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False ('RERUN', {'yellow': True}) [1.8990s] [ 15%] 2025-12-04T11:43:17.7927917Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False ('RERUN', {'yellow': True}) [0.9260s] [ 15%] 2025-12-04T11:43:17.7929136Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False FAILED [0.9368s] [ 15%] 2025-12-04T11:43:17.7929761Z 2025-12-04T11:43:17.7929902Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.7930484Z __________ RegionalInductorTests.test_flex_attention_serialize_False ___________ 2025-12-04T11:43:17.7931142Z Traceback (most recent call last): 2025-12-04T11:43:17.7931944Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.7932730Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.7933558Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.7934361Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.7935098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.7935828Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.7936529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.7937265Z result.sum().backward() 2025-12-04T11:43:17.7937844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.7938501Z torch.autograd.backward( 2025-12-04T11:43:17.7939169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.7939852Z _engine_run_backward( 2025-12-04T11:43:17.7940631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.7941678Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.7942658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.7943341Z return user_fn(self, *args) 2025-12-04T11:43:17.7944130Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.7945044Z return impl_fn() 2025-12-04T11:43:17.7945773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.7946657Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.7947624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.7948579Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.7949452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.7950270Z disable( 2025-12-04T11:43:17.7950845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.7951530Z return fn(*args, **kwargs) 2025-12-04T11:43:17.7952297Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.7953184Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.7954101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.7954988Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.7955733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.7956584Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.7957529Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.7958419Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.7959240Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.7960094Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.7960939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.7961794Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.7962603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.7963350Z return standalone_compile( 2025-12-04T11:43:17.7964154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.7964975Z compiled_fn = compile_fx( 2025-12-04T11:43:17.7965656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.7966412Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.7967257Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.7968094Z return _compile_fx_main( 2025-12-04T11:43:17.7968804Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.7969602Z return aot_autograd( 2025-12-04T11:43:17.7970269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.7971296Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.7972207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.7973040Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.7973906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.7974846Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.7975802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.7976757Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.7977712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.7978668Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.7979672Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.7980758Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.7981624Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.7982461Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.7983255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.7984024Z return compile_fx_forward( 2025-12-04T11:43:17.7984751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.7985518Z return inner_compile( 2025-12-04T11:43:17.7986215Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.7987128Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.7988027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.7988842Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.7989658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.7990458Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.7991265Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.7992265Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.7993253Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.7994035Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.7994829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.7995649Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.7996376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.7997133Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.7997572Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.7997873Z 2025-12-04T11:43:17.7998103Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.7999089Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.7999821Z 2025-12-04T11:43:17.8000091Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8000734Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8001207Z unimplemented [] 2025-12-04T11:43:17.8001518Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8002060Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8002549Z inductor [] 2025-12-04T11:43:17.8002796Z graph_break [] 2025-12-04T11:43:17.8003156Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8004296Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8005452Z warnings.warn( 2025-12-04T11:43:17.8006331Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8007310Z warnings.warn( 2025-12-04T11:43:17.8007872Z __________ RegionalInductorTests.test_flex_attention_serialize_False ___________ 2025-12-04T11:43:17.8008442Z Traceback (most recent call last): 2025-12-04T11:43:17.8009142Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8009977Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8010790Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8011688Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8012445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8013177Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8013882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8014608Z result.sum().backward() 2025-12-04T11:43:17.8015201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8015848Z torch.autograd.backward( 2025-12-04T11:43:17.8016500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8017203Z _engine_run_backward( 2025-12-04T11:43:17.8017895Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8018936Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8019902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8020590Z return user_fn(self, *args) 2025-12-04T11:43:17.8021376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8022190Z return impl_fn() 2025-12-04T11:43:17.8022988Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8023997Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8024928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8025868Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8026839Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8027622Z disable( 2025-12-04T11:43:17.8028199Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8028871Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8029652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8030497Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8031401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8032288Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8033025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8033928Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8034938Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8035848Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8036677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8037578Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8038417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8039277Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8040120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8040876Z return standalone_compile( 2025-12-04T11:43:17.8041653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8042473Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8043169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8043908Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8044755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8045589Z return _compile_fx_main( 2025-12-04T11:43:17.8046309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8047057Z return aot_autograd( 2025-12-04T11:43:17.8047722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8048543Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8049432Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8050257Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8051219Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8052176Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8053122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8054034Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8054985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8055955Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8056991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8058038Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8058911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8059730Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8060509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8061278Z return compile_fx_forward( 2025-12-04T11:43:17.8062019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8062777Z return inner_compile( 2025-12-04T11:43:17.8063515Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8064423Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8065327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8066166Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8066985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8067774Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8068590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8069616Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8070615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8071404Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8072191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8073004Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8073735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8074505Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8074932Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8075247Z 2025-12-04T11:43:17.8075464Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8076418Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8077150Z 2025-12-04T11:43:17.8077432Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8078057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8078528Z unimplemented [] 2025-12-04T11:43:17.8078855Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8079379Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8079865Z inductor [] 2025-12-04T11:43:17.8080105Z graph_break [] 2025-12-04T11:43:17.8080484Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8081572Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8082551Z warnings.warn( 2025-12-04T11:43:17.8083444Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8084440Z warnings.warn( 2025-12-04T11:43:17.8084824Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8085289Z unimplemented [] 2025-12-04T11:43:17.8085608Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8086128Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8086616Z inductor [] 2025-12-04T11:43:17.8086856Z graph_break [] 2025-12-04T11:43:17.8087213Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8088307Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8089285Z warnings.warn( 2025-12-04T11:43:17.8090211Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8091283Z warnings.warn( 2025-12-04T11:43:17.8091593Z =================================== FAILURES =================================== 2025-12-04T11:43:17.8092183Z __________ RegionalInductorTests.test_flex_attention_serialize_False ___________ 2025-12-04T11:43:17.8092730Z Traceback (most recent call last): 2025-12-04T11:43:17.8093477Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8094250Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8095071Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8095886Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8096634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8097367Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8098063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8098806Z result.sum().backward() 2025-12-04T11:43:17.8099401Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8100057Z torch.autograd.backward( 2025-12-04T11:43:17.8100704Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8101401Z _engine_run_backward( 2025-12-04T11:43:17.8102103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8103130Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8104108Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8105004Z return user_fn(self, *args) 2025-12-04T11:43:17.8105793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8106600Z return impl_fn() 2025-12-04T11:43:17.8107340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8108231Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8109149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8110103Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8110989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8111773Z disable( 2025-12-04T11:43:17.8112419Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8113112Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8113894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8114739Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8115640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8116544Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8117293Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8118153Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8119166Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8120076Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8120906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8121756Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8122608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8123519Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8124325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8125110Z return standalone_compile( 2025-12-04T11:43:17.8125892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8126715Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8127397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8128148Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8128989Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8129822Z return _compile_fx_main( 2025-12-04T11:43:17.8130522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8131379Z return aot_autograd( 2025-12-04T11:43:17.8132041Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8132860Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8133743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8134563Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8135423Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8136352Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8137311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8138216Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8139164Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8140125Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8141127Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8142219Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8143089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8143893Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8144687Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8145454Z return compile_fx_forward( 2025-12-04T11:43:17.8146192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8146956Z return inner_compile( 2025-12-04T11:43:17.8147646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8148591Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8149489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8150305Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8151121Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8151956Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8152768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8153777Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8154810Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8155607Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8156528Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8157678Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8158658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8159430Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8159876Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8160190Z 2025-12-04T11:43:17.8160408Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8161360Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8162098Z 2025-12-04T11:43:17.8162365Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8163007Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8163482Z unimplemented [] 2025-12-04T11:43:17.8163808Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8164330Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8164816Z inductor [] 2025-12-04T11:43:17.8165070Z graph_break [] 2025-12-04T11:43:17.8165428Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8166532Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8167507Z warnings.warn( 2025-12-04T11:43:17.8168400Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8169352Z warnings.warn( 2025-12-04T11:43:17.8169733Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8170198Z unimplemented [] 2025-12-04T11:43:17.8170588Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8171215Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8171699Z inductor [] 2025-12-04T11:43:17.8171933Z graph_break [] 2025-12-04T11:43:17.8172309Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8173409Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8174374Z warnings.warn( 2025-12-04T11:43:17.8175254Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8176221Z warnings.warn( 2025-12-04T11:43:17.8176643Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8177100Z unimplemented [] 2025-12-04T11:43:17.8177417Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8177949Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8178428Z inductor [] 2025-12-04T11:43:17.8178658Z graph_break [] 2025-12-04T11:43:17.8195711Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8196846Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8197838Z warnings.warn( 2025-12-04T11:43:17.8198844Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8199815Z warnings.warn( 2025-12-04T11:43:17.8200760Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-29905baf73b4163f.xml - 2025-12-04T11:43:17.8201860Z =========================== short test summary info ============================ 2025-12-04T11:43:17.8202914Z FAILED [0.9368s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False - torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8203757Z 2025-12-04T11:43:17.8203985Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8205141Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8205891Z 2025-12-04T11:43:17.8206158Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8206752Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.8207269Z ==================== 1 failed, 2 passed, 2 rerun in 10.83s ===================== 2025-12-04T11:43:17.8207696Z Got exit code 1 2025-12-04T11:43:17.8207972Z Retrying single test... 2025-12-04T11:43:17.8208763Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-922dd90e88f9df2f.xml 2025-12-04T11:43:17.8209655Z ============================= test session starts ============================== 2025-12-04T11:43:17.8210325Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.8210930Z cachedir: .pytest_cache 2025-12-04T11:43:17.8211731Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.8212518Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.8212875Z configfile: pytest.ini 2025-12-04T11:43:17.8213660Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.8214694Z collecting ... collected 20 items / 19 deselected / 1 selected 2025-12-04T11:43:17.8215738Z stepcurrent: skipping 2 already run items. Running only test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False 2025-12-04T11:43:17.8216670Z Running 1 items in this shard 2025-12-04T11:43:17.8216885Z 2025-12-04T11:43:17.8217906Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False [W1204 11:37:14.845202302 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8219062Z 2025-12-04T11:43:17.8219601Z [W1204 11:37:29.767660845 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8220255Z 2025-12-04T11:43:17.8220390Z ('RERUN', {'yellow': True}) [21.4218s] [100%] 2025-12-04T11:43:17.8221708Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False [W1204 11:37:30.804037312 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8222847Z 2025-12-04T11:43:17.8223365Z [W1204 11:37:30.804191906 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8224073Z 2025-12-04T11:43:17.8224218Z ('RERUN', {'yellow': True}) [0.9211s] [100%] 2025-12-04T11:43:17.8225463Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False [W1204 11:37:31.799471915 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8226644Z 2025-12-04T11:43:17.8227164Z [W1204 11:37:31.799630025 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8227838Z 2025-12-04T11:43:17.8227939Z FAILED [0.9933s] [100%] 2025-12-04T11:43:17.8228126Z 2025-12-04T11:43:17.8228269Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.8228854Z __________ RegionalInductorTests.test_flex_attention_serialize_False ___________ 2025-12-04T11:43:17.8229403Z Traceback (most recent call last): 2025-12-04T11:43:17.8230116Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8230891Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8231700Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8232500Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8233255Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8233990Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8234683Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8235426Z result.sum().backward() 2025-12-04T11:43:17.8236022Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8236660Z torch.autograd.backward( 2025-12-04T11:43:17.8237329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8238038Z _engine_run_backward( 2025-12-04T11:43:17.8238737Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8239773Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8240749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8241440Z return user_fn(self, *args) 2025-12-04T11:43:17.8242261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8243070Z return impl_fn() 2025-12-04T11:43:17.8243803Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8244693Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8245595Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8246545Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8247434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8248216Z disable( 2025-12-04T11:43:17.8248812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8249503Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8250280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8251232Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8252175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8253079Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8253824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8254700Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8255653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8256555Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8257388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8258230Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8259083Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8259942Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8260743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8261483Z return standalone_compile( 2025-12-04T11:43:17.8262259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8263070Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8263751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8264503Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8265340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8266173Z return _compile_fx_main( 2025-12-04T11:43:17.8266881Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8267633Z return aot_autograd( 2025-12-04T11:43:17.8268292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8269097Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8269991Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8270812Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8271705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8272642Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8273593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8274503Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8275452Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8276416Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8277457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8278514Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8279380Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8280180Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8280972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8281775Z return compile_fx_forward( 2025-12-04T11:43:17.8282502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8283308Z return inner_compile( 2025-12-04T11:43:17.8284002Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8284914Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8285812Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8286624Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8287441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8288240Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8289044Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8290044Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8291122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8291909Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8292716Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8293539Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8294273Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8295034Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8295476Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8295775Z 2025-12-04T11:43:17.8296000Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8296949Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8297683Z 2025-12-04T11:43:17.8297948Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8298585Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8299056Z unimplemented [] 2025-12-04T11:43:17.8299413Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8299951Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8300431Z inductor [] 2025-12-04T11:43:17.8300679Z graph_break [] 2025-12-04T11:43:17.8301037Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8302144Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8303117Z warnings.warn( 2025-12-04T11:43:17.8303995Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8305129Z warnings.warn( 2025-12-04T11:43:17.8305687Z __________ RegionalInductorTests.test_flex_attention_serialize_False ___________ 2025-12-04T11:43:17.8306254Z Traceback (most recent call last): 2025-12-04T11:43:17.8306949Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8307725Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8308537Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8309373Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8310124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8310856Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8311619Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8312346Z result.sum().backward() 2025-12-04T11:43:17.8312942Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8313596Z torch.autograd.backward( 2025-12-04T11:43:17.8314247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8314947Z _engine_run_backward( 2025-12-04T11:43:17.8315647Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8316690Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8317650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8318353Z return user_fn(self, *args) 2025-12-04T11:43:17.8319143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8319961Z return impl_fn() 2025-12-04T11:43:17.8320699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8321587Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8322501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8323439Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8324325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8325100Z disable( 2025-12-04T11:43:17.8325680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8326354Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8327134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8328024Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8328926Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8329826Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8330566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8331518Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8332451Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8333349Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8334175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8335076Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8335916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8336773Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8337581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8338433Z return standalone_compile( 2025-12-04T11:43:17.8339211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8340021Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8340745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8341483Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8342329Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8343161Z return _compile_fx_main( 2025-12-04T11:43:17.8343882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8344628Z return aot_autograd( 2025-12-04T11:43:17.8345288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8346106Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8346985Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8347804Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8348660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8349603Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8350543Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8351449Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8352397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8353368Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8354353Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8355404Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8356272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8357088Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8357904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8358676Z return compile_fx_forward( 2025-12-04T11:43:17.8359412Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8360178Z return inner_compile( 2025-12-04T11:43:17.8360872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8361778Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8362682Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8363477Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8364339Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8365136Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8365944Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8366946Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8367974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8368765Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8369553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8370405Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8371238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8372014Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8372439Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8372751Z 2025-12-04T11:43:17.8372965Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8373925Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8374658Z 2025-12-04T11:43:17.8374937Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8375560Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8376028Z unimplemented [] 2025-12-04T11:43:17.8376344Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8376861Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8377340Z inductor [] 2025-12-04T11:43:17.8377579Z graph_break [] 2025-12-04T11:43:17.8377938Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8379031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8380008Z warnings.warn( 2025-12-04T11:43:17.8380906Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8381869Z warnings.warn( 2025-12-04T11:43:17.8382246Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8382720Z unimplemented [] 2025-12-04T11:43:17.8383026Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8383558Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8384038Z inductor [] 2025-12-04T11:43:17.8384283Z graph_break [] 2025-12-04T11:43:17.8384705Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8385803Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8386772Z warnings.warn( 2025-12-04T11:43:17.8387653Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8388619Z warnings.warn( 2025-12-04T11:43:17.8388929Z =================================== FAILURES =================================== 2025-12-04T11:43:17.8389526Z __________ RegionalInductorTests.test_flex_attention_serialize_False ___________ 2025-12-04T11:43:17.8390075Z Traceback (most recent call last): 2025-12-04T11:43:17.8390821Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8391600Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8392403Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8393198Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8393950Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8394740Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8395434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8396210Z result.sum().backward() 2025-12-04T11:43:17.8396808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8397463Z torch.autograd.backward( 2025-12-04T11:43:17.8398124Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8398827Z _engine_run_backward( 2025-12-04T11:43:17.8399531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8400561Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8401542Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8402233Z return user_fn(self, *args) 2025-12-04T11:43:17.8403025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8403834Z return impl_fn() 2025-12-04T11:43:17.8404730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8405619Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8406531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8407486Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8408365Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8409147Z disable( 2025-12-04T11:43:17.8409709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8410386Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8411243Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8412088Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8413112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8414016Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8414761Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8415599Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8416548Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8417443Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8418269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8419112Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8419998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8420862Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8421668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8422407Z return standalone_compile( 2025-12-04T11:43:17.8423183Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8424045Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8424721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8425466Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8426359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8427189Z return _compile_fx_main( 2025-12-04T11:43:17.8427898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8428653Z return aot_autograd( 2025-12-04T11:43:17.8429319Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8430128Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8431028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8431843Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8432695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8433625Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8434574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8435479Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8436422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8437377Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8438376Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8439422Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8440288Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8441093Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8441882Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8442684Z return compile_fx_forward( 2025-12-04T11:43:17.8443408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8444179Z return inner_compile( 2025-12-04T11:43:17.8444872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8445785Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8446677Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8447486Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8448296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8449125Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8449929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8450926Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8452000Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8452836Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8453617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8454429Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8455188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8455945Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8456384Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8456682Z 2025-12-04T11:43:17.8456911Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8457866Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8458596Z 2025-12-04T11:43:17.8458864Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8459500Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8459969Z unimplemented [] 2025-12-04T11:43:17.8460274Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8460805Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8461289Z inductor [] 2025-12-04T11:43:17.8461528Z graph_break [] 2025-12-04T11:43:17.8461885Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8462983Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8463956Z warnings.warn( 2025-12-04T11:43:17.8464844Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8465822Z warnings.warn( 2025-12-04T11:43:17.8466205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8466679Z unimplemented [] 2025-12-04T11:43:17.8466987Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8467524Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8468017Z inductor [] 2025-12-04T11:43:17.8468249Z graph_break [] 2025-12-04T11:43:17.8468624Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8469765Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8470746Z warnings.warn( 2025-12-04T11:43:17.8471625Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8472602Z warnings.warn( 2025-12-04T11:43:17.8472987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8473445Z unimplemented [] 2025-12-04T11:43:17.8473763Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8474299Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8474786Z inductor [] 2025-12-04T11:43:17.8475012Z graph_break [] 2025-12-04T11:43:17.8475415Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8476507Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8477467Z warnings.warn( 2025-12-04T11:43:17.8478356Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8479361Z warnings.warn( 2025-12-04T11:43:17.8480308Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-922dd90e88f9df2f.xml - 2025-12-04T11:43:17.8481387Z =========================== short test summary info ============================ 2025-12-04T11:43:17.8482469Z FAILED [0.9933s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False - torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8483305Z 2025-12-04T11:43:17.8483534Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8484484Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8485214Z 2025-12-04T11:43:17.8485478Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8486072Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.8486594Z ================== 1 failed, 19 deselected, 2 rerun in 23.37s ================== 2025-12-04T11:43:17.8487030Z Got exit code 1 2025-12-04T11:43:17.8487301Z Retrying single test... 2025-12-04T11:43:17.8488090Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-a8bdcffecd22a87e.xml 2025-12-04T11:43:17.8489001Z ============================= test session starts ============================== 2025-12-04T11:43:17.8489658Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.8490262Z cachedir: .pytest_cache 2025-12-04T11:43:17.8491083Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.8491875Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.8492216Z configfile: pytest.ini 2025-12-04T11:43:17.8492995Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.8493944Z collecting ... collected 20 items / 19 deselected / 1 selected 2025-12-04T11:43:17.8494964Z stepcurrent: skipping 2 already run items. Running only test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False 2025-12-04T11:43:17.8495890Z Running 1 items in this shard 2025-12-04T11:43:17.8496112Z 2025-12-04T11:43:17.8497162Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False [W1204 11:37:48.605140236 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8498321Z 2025-12-04T11:43:17.8498860Z [W1204 11:38:04.430610828 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8499517Z 2025-12-04T11:43:17.8499665Z ('RERUN', {'yellow': True}) [22.5542s] [100%] 2025-12-04T11:43:17.8500920Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False [W1204 11:38:05.568330284 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8502069Z 2025-12-04T11:43:17.8502588Z [W1204 11:38:05.568489956 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8503258Z 2025-12-04T11:43:17.8503426Z ('RERUN', {'yellow': True}) [0.9371s] [100%] 2025-12-04T11:43:17.8504840Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False [W1204 11:38:06.492204895 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8505971Z 2025-12-04T11:43:17.8506502Z [W1204 11:38:06.492363857 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8507230Z 2025-12-04T11:43:17.8507334Z FAILED [0.9177s] [100%] 2025-12-04T11:43:17.8507527Z 2025-12-04T11:43:17.8507668Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.8508327Z __________ RegionalInductorTests.test_flex_attention_serialize_False ___________ 2025-12-04T11:43:17.8508874Z Traceback (most recent call last): 2025-12-04T11:43:17.8509590Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8510368Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8511189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8511974Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8512724Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8513461Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8514163Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8514888Z result.sum().backward() 2025-12-04T11:43:17.8515485Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8516134Z torch.autograd.backward( 2025-12-04T11:43:17.8516785Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8517485Z _engine_run_backward( 2025-12-04T11:43:17.8518176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8519215Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8520176Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8520863Z return user_fn(self, *args) 2025-12-04T11:43:17.8521650Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8522457Z return impl_fn() 2025-12-04T11:43:17.8523194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8524084Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8525052Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8525987Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8526873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8527644Z disable( 2025-12-04T11:43:17.8528220Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8528893Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8529671Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8530514Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8531552Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8532470Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8533211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8534058Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8535027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8535920Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8536744Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8537635Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8538472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8539333Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8540138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8540876Z return standalone_compile( 2025-12-04T11:43:17.8541656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8542478Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8543168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8543905Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8544748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8545576Z return _compile_fx_main( 2025-12-04T11:43:17.8546289Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8547052Z return aot_autograd( 2025-12-04T11:43:17.8547725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8548544Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8549425Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8550244Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8551107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8552055Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8552996Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8553941Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8554894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8555862Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8556860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8557910Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8558775Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8559573Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8560397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8561168Z return compile_fx_forward( 2025-12-04T11:43:17.8561902Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8562662Z return inner_compile( 2025-12-04T11:43:17.8563355Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8564299Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8565208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8566007Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8566849Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8567642Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8568444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8569442Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8570427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8571337Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8572123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8572929Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8573658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8574426Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8574853Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8575162Z 2025-12-04T11:43:17.8575376Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8576331Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8577063Z 2025-12-04T11:43:17.8577341Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8577966Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8578439Z unimplemented [] 2025-12-04T11:43:17.8578765Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8579288Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8579771Z inductor [] 2025-12-04T11:43:17.8580015Z graph_break [] 2025-12-04T11:43:17.8580374Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8581536Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8582514Z warnings.warn( 2025-12-04T11:43:17.8583403Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8584356Z warnings.warn( 2025-12-04T11:43:17.8584813Z __________ RegionalInductorTests.test_flex_attention_serialize_False ___________ 2025-12-04T11:43:17.8585378Z Traceback (most recent call last): 2025-12-04T11:43:17.8586072Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8586848Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8587660Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8588485Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8589226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8589956Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8590658Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8591425Z result.sum().backward() 2025-12-04T11:43:17.8592003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8592650Z torch.autograd.backward( 2025-12-04T11:43:17.8593308Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8594025Z _engine_run_backward( 2025-12-04T11:43:17.8594721Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8595769Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8596742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8597421Z return user_fn(self, *args) 2025-12-04T11:43:17.8598207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8599032Z return impl_fn() 2025-12-04T11:43:17.8599756Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8600640Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8601562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8602517Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8603389Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8604167Z disable( 2025-12-04T11:43:17.8604890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8605577Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8606343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8607180Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8608085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8608969Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8609713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8610563Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8611695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8612607Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8613444Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8614308Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8615167Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8616022Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8616831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8617636Z return standalone_compile( 2025-12-04T11:43:17.8618409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8619233Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8619928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8620745Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8621575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8622414Z return _compile_fx_main( 2025-12-04T11:43:17.8623136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8623924Z return aot_autograd( 2025-12-04T11:43:17.8624589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8625409Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8626300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8627110Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8627968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8628915Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8629871Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8630767Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8631708Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8632673Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8633679Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8634715Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8635586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8636403Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8637181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8637954Z return compile_fx_forward( 2025-12-04T11:43:17.8638690Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8639466Z return inner_compile( 2025-12-04T11:43:17.8640188Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8641097Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8642008Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8642831Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8643633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8644430Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8645249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8646235Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8647269Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8648063Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8648860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8649694Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8650426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8651301Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8651745Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8652091Z 2025-12-04T11:43:17.8652307Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8653263Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8653994Z 2025-12-04T11:43:17.8654276Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8654920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8655380Z unimplemented [] 2025-12-04T11:43:17.8655700Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8656237Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8656704Z inductor [] 2025-12-04T11:43:17.8656949Z graph_break [] 2025-12-04T11:43:17.8657317Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8658402Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8659377Z warnings.warn( 2025-12-04T11:43:17.8660273Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8661243Z warnings.warn( 2025-12-04T11:43:17.8661609Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8662075Z unimplemented [] 2025-12-04T11:43:17.8662394Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8662917Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8663392Z inductor [] 2025-12-04T11:43:17.8663631Z graph_break [] 2025-12-04T11:43:17.8663989Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8665079Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8666047Z warnings.warn( 2025-12-04T11:43:17.8666979Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8667931Z warnings.warn( 2025-12-04T11:43:17.8668237Z =================================== FAILURES =================================== 2025-12-04T11:43:17.8668824Z __________ RegionalInductorTests.test_flex_attention_serialize_False ___________ 2025-12-04T11:43:17.8669383Z Traceback (most recent call last): 2025-12-04T11:43:17.8670075Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8670857Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8671674Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8672458Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8673245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8673981Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8674689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8675412Z result.sum().backward() 2025-12-04T11:43:17.8676007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8676696Z torch.autograd.backward( 2025-12-04T11:43:17.8677349Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8678045Z _engine_run_backward( 2025-12-04T11:43:17.8678740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8679813Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8680773Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8681465Z return user_fn(self, *args) 2025-12-04T11:43:17.8682254Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8683070Z return impl_fn() 2025-12-04T11:43:17.8683798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8684685Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8685603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8686544Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8687429Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8688214Z disable( 2025-12-04T11:43:17.8688794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8689468Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8690251Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8691208Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8692107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8693014Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8693766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8694627Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8695698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8696773Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8697605Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8698461Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8699305Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8700173Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8700975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8701734Z return standalone_compile( 2025-12-04T11:43:17.8702541Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8703364Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8704055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8704941Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8705784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8706692Z return _compile_fx_main( 2025-12-04T11:43:17.8707409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8708156Z return aot_autograd( 2025-12-04T11:43:17.8708868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8709689Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8710576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8711402Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8712277Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8713226Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8714168Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8715086Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8716035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8717007Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8718003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8719050Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8719922Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8720741Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8721519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8722289Z return compile_fx_forward( 2025-12-04T11:43:17.8723027Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8723794Z return inner_compile( 2025-12-04T11:43:17.8724491Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8725406Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8726371Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8727174Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8727993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8728796Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8729623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8730617Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8731702Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8732577Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8733369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8734195Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8734928Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8735736Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8736165Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8736479Z 2025-12-04T11:43:17.8736693Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8737644Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8738417Z 2025-12-04T11:43:17.8738697Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8739320Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8739796Z unimplemented [] 2025-12-04T11:43:17.8740117Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8740357Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8740454Z inductor [] 2025-12-04T11:43:17.8740565Z graph_break [] 2025-12-04T11:43:17.8740782Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8741536Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8741639Z warnings.warn( 2025-12-04T11:43:17.8742366Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8742479Z warnings.warn( 2025-12-04T11:43:17.8742697Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8742800Z unimplemented [] 2025-12-04T11:43:17.8742967Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8743201Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8743308Z inductor [] 2025-12-04T11:43:17.8743405Z graph_break [] 2025-12-04T11:43:17.8743620Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8744363Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8744465Z warnings.warn( 2025-12-04T11:43:17.8745189Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8745302Z warnings.warn( 2025-12-04T11:43:17.8745522Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8745678Z unimplemented [] 2025-12-04T11:43:17.8745834Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8746070Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8746176Z inductor [] 2025-12-04T11:43:17.8746276Z graph_break [] 2025-12-04T11:43:17.8746489Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8747234Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8747336Z warnings.warn( 2025-12-04T11:43:17.8748075Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8748174Z warnings.warn( 2025-12-04T11:43:17.8748997Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-a8bdcffecd22a87e.xml - 2025-12-04T11:43:17.8749182Z =========================== short test summary info ============================ 2025-12-04T11:43:17.8749912Z FAILED [0.9177s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False - torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8749949Z 2025-12-04T11:43:17.8750179Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8750779Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_False 2025-12-04T11:43:17.8750814Z 2025-12-04T11:43:17.8751085Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8751280Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.8751478Z ================== 1 failed, 19 deselected, 2 rerun in 24.44s ================== 2025-12-04T11:43:17.8751589Z Got exit code 1 2025-12-04T11:43:17.8752108Z FAILED CONSISTENTLY: test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False 2025-12-04T11:43:17.8752518Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:43:17.8753130Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-8bf9e3c34fffdad8.xml 2025-12-04T11:43:17.8753293Z ============================= test session starts ============================== 2025-12-04T11:43:17.8753648Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.8753770Z cachedir: .pytest_cache 2025-12-04T11:43:17.8754292Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.8754429Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.8754547Z configfile: pytest.ini 2025-12-04T11:43:17.8755141Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.8755369Z collecting ... collected 20 items / 3 deselected / 17 selected 2025-12-04T11:43:17.8755512Z stepcurrent: skipping 3 already run items. 2025-12-04T11:43:17.8755629Z Running 17 items in this shard 2025-12-04T11:43:17.8755648Z 2025-12-04T11:43:17.8756235Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True ('RERUN', {'yellow': True}) [6.5893s] [ 5%] 2025-12-04T11:43:17.8756820Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True ('RERUN', {'yellow': True}) [0.9943s] [ 5%] 2025-12-04T11:43:17.8757320Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True FAILED [0.9930s] [ 5%] 2025-12-04T11:43:17.8757326Z 2025-12-04T11:43:17.8757504Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.8757812Z ___________ RegionalInductorTests.test_flex_attention_serialize_True ___________ 2025-12-04T11:43:17.8757935Z Traceback (most recent call last): 2025-12-04T11:43:17.8758405Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8758587Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8759105Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8759249Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8759740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8759855Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8760462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8760575Z result.sum().backward() 2025-12-04T11:43:17.8760964Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8761098Z torch.autograd.backward( 2025-12-04T11:43:17.8761576Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8761685Z _engine_run_backward( 2025-12-04T11:43:17.8762201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8762636Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8763081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8763200Z return user_fn(self, *args) 2025-12-04T11:43:17.8763777Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8763897Z return impl_fn() 2025-12-04T11:43:17.8764464Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8764647Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8765261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8765468Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8766029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8766127Z disable( 2025-12-04T11:43:17.8766553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8766681Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8767166Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 57, in regional_inductor_pickle 2025-12-04T11:43:17.8767338Z result = regional_inductor(gm, *example_args) 2025-12-04T11:43:17.8767903Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8768045Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8768698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8768822Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8769332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8769542Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8770211Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8770370Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8770911Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8771189Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8771749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8771920Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8772427Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8772542Z return standalone_compile( 2025-12-04T11:43:17.8773135Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8773262Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8773732Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8773869Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8774489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8774601Z return _compile_fx_main( 2025-12-04T11:43:17.8775112Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8775249Z return aot_autograd( 2025-12-04T11:43:17.8775717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8775937Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8776487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8776624Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8777221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8777424Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8778046Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8778200Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8778862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8779042Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8779748Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8779968Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8780490Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8780638Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8781152Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8781271Z return compile_fx_forward( 2025-12-04T11:43:17.8781805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8781915Z return inner_compile( 2025-12-04T11:43:17.8782467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8782752Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8783249Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8783424Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8783939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8784082Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8784627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8784951Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8785507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8785649Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8786198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8786335Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8786852Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8786993Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8787177Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8787182Z 2025-12-04T11:43:17.8787428Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8788033Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.8788041Z 2025-12-04T11:43:17.8788317Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8788540Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8788662Z unimplemented [] 2025-12-04T11:43:17.8788817Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8789056Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8789168Z inductor [] 2025-12-04T11:43:17.8789266Z graph_break [] 2025-12-04T11:43:17.8789494Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8790224Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8790327Z warnings.warn( 2025-12-04T11:43:17.8791067Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8791168Z warnings.warn( 2025-12-04T11:43:17.8791460Z ___________ RegionalInductorTests.test_flex_attention_serialize_True ___________ 2025-12-04T11:43:17.8791593Z Traceback (most recent call last): 2025-12-04T11:43:17.8792061Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8792242Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8792752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8792893Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8793381Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8793492Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8793973Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8794129Z result.sum().backward() 2025-12-04T11:43:17.8794517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8794648Z torch.autograd.backward( 2025-12-04T11:43:17.8795089Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8795200Z _engine_run_backward( 2025-12-04T11:43:17.8795714Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8796108Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8796553Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8796666Z return user_fn(self, *args) 2025-12-04T11:43:17.8797274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8797392Z return impl_fn() 2025-12-04T11:43:17.8797955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8798136Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8798778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8798979Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8799531Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8799654Z disable( 2025-12-04T11:43:17.8800077Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8800201Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8800684Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 57, in regional_inductor_pickle 2025-12-04T11:43:17.8800835Z result = regional_inductor(gm, *example_args) 2025-12-04T11:43:17.8801407Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8801547Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8802194Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8802315Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8802822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8803030Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8803640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8803801Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8804341Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8804710Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8805267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8805438Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8805939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8806070Z return standalone_compile( 2025-12-04T11:43:17.8806629Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8806828Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8807300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8807433Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8808019Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8808136Z return _compile_fx_main( 2025-12-04T11:43:17.8808654Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8808763Z return aot_autograd( 2025-12-04T11:43:17.8809230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8809448Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8810045Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8810172Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8810782Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8811117Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8811749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8811903Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8812607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8812785Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8813489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8813704Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8814227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8814377Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8814894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8815010Z return compile_fx_forward( 2025-12-04T11:43:17.8815544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8815652Z return inner_compile( 2025-12-04T11:43:17.8816147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8816428Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8816921Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8817091Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8817606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8817748Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8818359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8818722Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8819300Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8819551Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8820138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8820346Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8820817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8821288Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8821501Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8821507Z 2025-12-04T11:43:17.8821814Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8822449Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.8822455Z 2025-12-04T11:43:17.8822795Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8823143Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8823304Z unimplemented [] 2025-12-04T11:43:17.8823549Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8823825Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8824064Z inductor [] 2025-12-04T11:43:17.8824241Z graph_break [] 2025-12-04T11:43:17.8824533Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8825331Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8825555Z warnings.warn( 2025-12-04T11:43:17.8826323Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8826520Z warnings.warn( 2025-12-04T11:43:17.8826752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8826925Z unimplemented [] 2025-12-04T11:43:17.8827191Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8827464Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8827599Z inductor [] 2025-12-04T11:43:17.8827790Z graph_break [] 2025-12-04T11:43:17.8828018Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8828880Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8829020Z warnings.warn( 2025-12-04T11:43:17.8829782Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8829975Z warnings.warn( 2025-12-04T11:43:17.8830159Z =================================== FAILURES =================================== 2025-12-04T11:43:17.8830549Z ___________ RegionalInductorTests.test_flex_attention_serialize_True ___________ 2025-12-04T11:43:17.8830729Z Traceback (most recent call last): 2025-12-04T11:43:17.8831235Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8831571Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8832129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8832312Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8832890Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8833064Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8833676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8833826Z result.sum().backward() 2025-12-04T11:43:17.8834248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8834430Z torch.autograd.backward( 2025-12-04T11:43:17.8834956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8835186Z _engine_run_backward( 2025-12-04T11:43:17.8835722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8836155Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8836673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8836836Z return user_fn(self, *args) 2025-12-04T11:43:17.8837502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8837720Z return impl_fn() 2025-12-04T11:43:17.8838320Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8838620Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8839260Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8839477Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8840267Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8840400Z disable( 2025-12-04T11:43:17.8853271Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8853524Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8854049Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 57, in regional_inductor_pickle 2025-12-04T11:43:17.8854220Z result = regional_inductor(gm, *example_args) 2025-12-04T11:43:17.8854799Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8854955Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8855593Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8855721Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8856245Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8856445Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8857065Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8857213Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8857753Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8857938Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8858481Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8858653Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8859156Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8859272Z return standalone_compile( 2025-12-04T11:43:17.8859970Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8860088Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8860562Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8860709Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8861286Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8861413Z return _compile_fx_main( 2025-12-04T11:43:17.8861915Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8862025Z return aot_autograd( 2025-12-04T11:43:17.8862506Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8862745Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8863299Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8863434Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8864032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8864285Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8864896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8865049Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8865760Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8865927Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8866639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8866842Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8867362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8867527Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8868031Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8868159Z return compile_fx_forward( 2025-12-04T11:43:17.8868675Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8868785Z return inner_compile( 2025-12-04T11:43:17.8869296Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8869565Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8870055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8870240Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8870743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8870902Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8871434Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8871756Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8872285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8872440Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8873003Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8873124Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8873608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8873759Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8873930Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8873941Z 2025-12-04T11:43:17.8874160Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8874765Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.8874771Z 2025-12-04T11:43:17.8875072Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8875316Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8875421Z unimplemented [] 2025-12-04T11:43:17.8875576Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8875831Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8875959Z inductor [] 2025-12-04T11:43:17.8876057Z graph_break [] 2025-12-04T11:43:17.8876288Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8877027Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8877170Z warnings.warn( 2025-12-04T11:43:17.8877898Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8877997Z warnings.warn( 2025-12-04T11:43:17.8878227Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8878330Z unimplemented [] 2025-12-04T11:43:17.8878485Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8878736Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8878834Z inductor [] 2025-12-04T11:43:17.8878944Z graph_break [] 2025-12-04T11:43:17.8879159Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8879889Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8880005Z warnings.warn( 2025-12-04T11:43:17.8880730Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8880829Z warnings.warn( 2025-12-04T11:43:17.8881056Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8881157Z unimplemented [] 2025-12-04T11:43:17.8881324Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8881558Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8881656Z inductor [] 2025-12-04T11:43:17.8881766Z graph_break [] 2025-12-04T11:43:17.8881980Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8882705Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8882818Z warnings.warn( 2025-12-04T11:43:17.8883540Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8883708Z warnings.warn( 2025-12-04T11:43:17.8884499Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-8bf9e3c34fffdad8.xml - 2025-12-04T11:43:17.8884671Z =========================== short test summary info ============================ 2025-12-04T11:43:17.8885412Z FAILED [0.9930s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True - torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8885417Z 2025-12-04T11:43:17.8885633Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8886239Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.8886246Z 2025-12-04T11:43:17.8886543Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8886728Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.8886937Z =================== 1 failed, 3 deselected, 2 rerun in 8.61s =================== 2025-12-04T11:43:17.8887035Z Got exit code 1 2025-12-04T11:43:17.8887158Z Retrying single test... 2025-12-04T11:43:17.8887754Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-bb2a52ad24e66bc2.xml 2025-12-04T11:43:17.8887943Z ============================= test session starts ============================== 2025-12-04T11:43:17.8888307Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.8888445Z cachedir: .pytest_cache 2025-12-04T11:43:17.8888965Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.8889100Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.8889209Z configfile: pytest.ini 2025-12-04T11:43:17.8889819Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.8890034Z collecting ... collected 20 items / 19 deselected / 1 selected 2025-12-04T11:43:17.8890708Z stepcurrent: skipping 3 already run items. Running only test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True 2025-12-04T11:43:17.8890840Z Running 1 items in this shard 2025-12-04T11:43:17.8890845Z 2025-12-04T11:43:17.8891953Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True [W1204 11:38:43.496583146 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8891963Z 2025-12-04T11:43:17.8892500Z [W1204 11:38:59.783627986 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8892506Z 2025-12-04T11:43:17.8892641Z ('RERUN', {'yellow': True}) [21.8494s] [100%] 2025-12-04T11:43:17.8893633Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True [W1204 11:39:00.882412647 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8893654Z 2025-12-04T11:43:17.8894172Z [W1204 11:39:00.882585567 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8894177Z 2025-12-04T11:43:17.8894306Z ('RERUN', {'yellow': True}) [0.9759s] [100%] 2025-12-04T11:43:17.8895314Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True [W1204 11:39:01.857933857 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8895321Z 2025-12-04T11:43:17.8895875Z [W1204 11:39:01.858100346 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.8895880Z 2025-12-04T11:43:17.8895996Z FAILED [0.9659s] [100%] 2025-12-04T11:43:17.8896001Z 2025-12-04T11:43:17.8896145Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.8896434Z ___________ RegionalInductorTests.test_flex_attention_serialize_True ___________ 2025-12-04T11:43:17.8896571Z Traceback (most recent call last): 2025-12-04T11:43:17.8897037Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8897217Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8897735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8897875Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8898396Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8898512Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8899004Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8899115Z result.sum().backward() 2025-12-04T11:43:17.8899499Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8899662Z torch.autograd.backward( 2025-12-04T11:43:17.8900104Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8900211Z _engine_run_backward( 2025-12-04T11:43:17.8900751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8901149Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8901592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8901708Z return user_fn(self, *args) 2025-12-04T11:43:17.8902284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8902399Z return impl_fn() 2025-12-04T11:43:17.8902971Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8903150Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8903768Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8903975Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8904715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8904815Z disable( 2025-12-04T11:43:17.8905241Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8905367Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8905852Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 57, in regional_inductor_pickle 2025-12-04T11:43:17.8906021Z result = regional_inductor(gm, *example_args) 2025-12-04T11:43:17.8906581Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8906721Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8907368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8907490Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8908073Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8908287Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8908897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8909058Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8909603Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8909769Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8910327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8910501Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8911048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8911169Z return standalone_compile( 2025-12-04T11:43:17.8911731Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8911857Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8912327Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8912510Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8913099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8913256Z return _compile_fx_main( 2025-12-04T11:43:17.8913769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8913876Z return aot_autograd( 2025-12-04T11:43:17.8914346Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8914569Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8915119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8915262Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8915863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8916064Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8916688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8916839Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8917497Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8917674Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8918375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8918595Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8919117Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8919263Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8919778Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8919894Z return compile_fx_forward( 2025-12-04T11:43:17.8920422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8920562Z return inner_compile( 2025-12-04T11:43:17.8921063Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8921340Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8921833Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8922005Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8922517Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8922660Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8923204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8923556Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8924078Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8924214Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8924762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8924926Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8925408Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8925588Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8925770Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8925775Z 2025-12-04T11:43:17.8925989Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8926596Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.8926601Z 2025-12-04T11:43:17.8926871Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8927092Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8927210Z unimplemented [] 2025-12-04T11:43:17.8927364Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8927602Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8927709Z inductor [] 2025-12-04T11:43:17.8927806Z graph_break [] 2025-12-04T11:43:17.8928021Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8928775Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8928878Z warnings.warn( 2025-12-04T11:43:17.8929620Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8929719Z warnings.warn( 2025-12-04T11:43:17.8930007Z ___________ RegionalInductorTests.test_flex_attention_serialize_True ___________ 2025-12-04T11:43:17.8930145Z Traceback (most recent call last): 2025-12-04T11:43:17.8930615Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8930795Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8931397Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8931542Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8932032Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8932146Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8932663Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8932793Z result.sum().backward() 2025-12-04T11:43:17.8933175Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8933307Z torch.autograd.backward( 2025-12-04T11:43:17.8933747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8933854Z _engine_run_backward( 2025-12-04T11:43:17.8934360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8934759Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8935229Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8935346Z return user_fn(self, *args) 2025-12-04T11:43:17.8935919Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8936035Z return impl_fn() 2025-12-04T11:43:17.8936596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8936806Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8937422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8937658Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8938208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8938303Z disable( 2025-12-04T11:43:17.8938726Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8938849Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8939337Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 57, in regional_inductor_pickle 2025-12-04T11:43:17.8939492Z result = regional_inductor(gm, *example_args) 2025-12-04T11:43:17.8940066Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8940203Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8940845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8940968Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8941475Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8941684Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8942290Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8942448Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8942994Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8943159Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8943712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8943884Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8944378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8944509Z return standalone_compile( 2025-12-04T11:43:17.8945101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8945229Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8945701Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8945834Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8946420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8946531Z return _compile_fx_main( 2025-12-04T11:43:17.8947048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8947156Z return aot_autograd( 2025-12-04T11:43:17.8947653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8947871Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8948417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8948542Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8949187Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8949386Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8950005Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8950190Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8950845Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8951024Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8951722Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8951999Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8952524Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8952671Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8953184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8953301Z return compile_fx_forward( 2025-12-04T11:43:17.8953836Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8953944Z return inner_compile( 2025-12-04T11:43:17.8954440Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8954718Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8955213Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8955402Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8955904Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8956051Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8956598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8956922Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8957487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8957615Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8958161Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8958303Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8958788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8958927Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8959114Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8959118Z 2025-12-04T11:43:17.8959336Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8959972Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.8959977Z 2025-12-04T11:43:17.8960248Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8960471Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8960593Z unimplemented [] 2025-12-04T11:43:17.8960749Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8961037Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8961135Z inductor [] 2025-12-04T11:43:17.8961234Z graph_break [] 2025-12-04T11:43:17.8961466Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8962237Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8962337Z warnings.warn( 2025-12-04T11:43:17.8963080Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8963183Z warnings.warn( 2025-12-04T11:43:17.8963412Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8963515Z unimplemented [] 2025-12-04T11:43:17.8963671Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8963922Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8964018Z inductor [] 2025-12-04T11:43:17.8964114Z graph_break [] 2025-12-04T11:43:17.8964339Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8965071Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8965170Z warnings.warn( 2025-12-04T11:43:17.8965908Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8966005Z warnings.warn( 2025-12-04T11:43:17.8966162Z =================================== FAILURES =================================== 2025-12-04T11:43:17.8966448Z ___________ RegionalInductorTests.test_flex_attention_serialize_True ___________ 2025-12-04T11:43:17.8966573Z Traceback (most recent call last): 2025-12-04T11:43:17.8967052Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.8967218Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.8967741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.8967879Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.8968356Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.8968512Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.8968992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.8969105Z result.sum().backward() 2025-12-04T11:43:17.8969498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.8969618Z torch.autograd.backward( 2025-12-04T11:43:17.8970072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.8970178Z _engine_run_backward( 2025-12-04T11:43:17.8970676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.8971192Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.8971661Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.8971775Z return user_fn(self, *args) 2025-12-04T11:43:17.8972359Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.8972462Z return impl_fn() 2025-12-04T11:43:17.8973081Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.8973260Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.8973859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.8974104Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.8974646Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.8974755Z disable( 2025-12-04T11:43:17.8975184Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.8975292Z return fn(*args, **kwargs) 2025-12-04T11:43:17.8975792Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 57, in regional_inductor_pickle 2025-12-04T11:43:17.8975945Z result = regional_inductor(gm, *example_args) 2025-12-04T11:43:17.8976507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.8976657Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.8977294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.8977426Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.8977939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.8978134Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.8978755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.8978899Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.8979456Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.8979619Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.8980160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.8980343Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.8980837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.8980988Z return standalone_compile( 2025-12-04T11:43:17.8981556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.8981669Z compiled_fn = compile_fx( 2025-12-04T11:43:17.8982150Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.8982285Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.8982860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.8982986Z return _compile_fx_main( 2025-12-04T11:43:17.8983487Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.8983594Z return aot_autograd( 2025-12-04T11:43:17.8984103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.8984308Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.8984868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.8984992Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.8985623Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.8985832Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.8986441Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.8986636Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.8987294Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.8987459Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.8988169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.8988376Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.8988907Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.8989053Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8989559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.8989686Z return compile_fx_forward( 2025-12-04T11:43:17.8990200Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.8990310Z return inner_compile( 2025-12-04T11:43:17.8990819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.8991082Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.8991584Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.8991754Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.8992252Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.8992408Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.8992941Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.8993275Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.8993835Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.8993960Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.8994519Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.8994643Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.8995126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.8995274Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.8995447Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.8995452Z 2025-12-04T11:43:17.8995680Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.8996307Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.8996312Z 2025-12-04T11:43:17.8996583Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.8996814Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8996917Z unimplemented [] 2025-12-04T11:43:17.8997115Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.8997349Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.8997446Z inductor [] 2025-12-04T11:43:17.8997555Z graph_break [] 2025-12-04T11:43:17.8997770Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.8998536Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8998655Z warnings.warn( 2025-12-04T11:43:17.8999385Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.8999496Z warnings.warn( 2025-12-04T11:43:17.8999708Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.8999808Z unimplemented [] 2025-12-04T11:43:17.8999976Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9000210Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.9000304Z inductor [] 2025-12-04T11:43:17.9000413Z graph_break [] 2025-12-04T11:43:17.9000626Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9001364Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9001468Z warnings.warn( 2025-12-04T11:43:17.9002196Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9002306Z warnings.warn( 2025-12-04T11:43:17.9002519Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9002620Z unimplemented [] 2025-12-04T11:43:17.9002786Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9003020Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.9003114Z inductor [] 2025-12-04T11:43:17.9003221Z graph_break [] 2025-12-04T11:43:17.9003432Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9004176Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9004276Z warnings.warn( 2025-12-04T11:43:17.9005246Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9005368Z warnings.warn( 2025-12-04T11:43:17.9006160Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-bb2a52ad24e66bc2.xml - 2025-12-04T11:43:17.9006346Z =========================== short test summary info ============================ 2025-12-04T11:43:17.9007062Z FAILED [0.9659s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True - torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.9007071Z 2025-12-04T11:43:17.9007285Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9007934Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.9007940Z 2025-12-04T11:43:17.9008211Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9008402Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.9008596Z ================== 1 failed, 19 deselected, 2 rerun in 23.83s ================== 2025-12-04T11:43:17.9008737Z Got exit code 1 2025-12-04T11:43:17.9008857Z Retrying single test... 2025-12-04T11:43:17.9009454Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-99a3c12beb8b9b4c.xml 2025-12-04T11:43:17.9009614Z ============================= test session starts ============================== 2025-12-04T11:43:17.9010025Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.9010133Z cachedir: .pytest_cache 2025-12-04T11:43:17.9010668Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.9010792Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.9010900Z configfile: pytest.ini 2025-12-04T11:43:17.9011615Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.9011830Z collecting ... collected 20 items / 19 deselected / 1 selected 2025-12-04T11:43:17.9012530Z stepcurrent: skipping 3 already run items. Running only test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True 2025-12-04T11:43:17.9012648Z Running 1 items in this shard 2025-12-04T11:43:17.9012654Z 2025-12-04T11:43:17.9013654Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True [W1204 11:39:19.817506578 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9013663Z 2025-12-04T11:43:17.9014200Z [W1204 11:39:34.061383251 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9014205Z 2025-12-04T11:43:17.9014338Z ('RERUN', {'yellow': True}) [21.9598s] [100%] 2025-12-04T11:43:17.9015342Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True [W1204 11:39:35.128260194 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9015349Z 2025-12-04T11:43:17.9015866Z [W1204 11:39:35.128417130 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9015873Z 2025-12-04T11:43:17.9016018Z ('RERUN', {'yellow': True}) [0.9353s] [100%] 2025-12-04T11:43:17.9017009Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True [W1204 11:39:36.050670653 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9017060Z 2025-12-04T11:43:17.9017578Z [W1204 11:39:36.050828156 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9017596Z 2025-12-04T11:43:17.9017701Z FAILED [0.9163s] [100%] 2025-12-04T11:43:17.9017705Z 2025-12-04T11:43:17.9017852Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.9018153Z ___________ RegionalInductorTests.test_flex_attention_serialize_True ___________ 2025-12-04T11:43:17.9018276Z Traceback (most recent call last): 2025-12-04T11:43:17.9018746Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.9018927Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.9019504Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.9019666Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.9020143Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.9020256Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.9020755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.9020910Z result.sum().backward() 2025-12-04T11:43:17.9021295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.9021431Z torch.autograd.backward( 2025-12-04T11:43:17.9021877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.9022039Z _engine_run_backward( 2025-12-04T11:43:17.9022539Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.9022940Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.9023383Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.9023499Z return user_fn(self, *args) 2025-12-04T11:43:17.9024084Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.9024188Z return impl_fn() 2025-12-04T11:43:17.9024754Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.9024949Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.9025549Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.9025756Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.9026309Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.9026403Z disable( 2025-12-04T11:43:17.9026837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.9026949Z return fn(*args, **kwargs) 2025-12-04T11:43:17.9027433Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 57, in regional_inductor_pickle 2025-12-04T11:43:17.9027600Z result = regional_inductor(gm, *example_args) 2025-12-04T11:43:17.9028157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.9028299Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.9028937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.9029087Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.9029606Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.9029803Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.9030413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.9030570Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.9031232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.9031415Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.9032053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.9032266Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.9032864Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.9032984Z return standalone_compile( 2025-12-04T11:43:17.9033627Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.9033867Z compiled_fn = compile_fx( 2025-12-04T11:43:17.9034426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.9034575Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.9035274Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.9035387Z return _compile_fx_main( 2025-12-04T11:43:17.9035990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.9036101Z return aot_autograd( 2025-12-04T11:43:17.9036594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.9036861Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.9037462Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.9037635Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.9038278Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.9038511Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.9039227Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.9039385Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.9040139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.9040306Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.9041099Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.9041321Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.9041932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.9042093Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.9042684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.9042801Z return compile_fx_forward( 2025-12-04T11:43:17.9043454Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.9043566Z return inner_compile( 2025-12-04T11:43:17.9044162Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.9044430Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.9045007Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.9045191Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.9045781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.9045925Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.9046596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.9046921Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.9047545Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.9047709Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.9048347Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.9048482Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.9049093Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.9049248Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.9049420Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.9049426Z 2025-12-04T11:43:17.9049725Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9050353Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.9050362Z 2025-12-04T11:43:17.9050680Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9050919Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9051142Z unimplemented [] 2025-12-04T11:43:17.9051368Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9051624Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.9051726Z inductor [] 2025-12-04T11:43:17.9051825Z graph_break [] 2025-12-04T11:43:17.9052131Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9052960Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9053065Z warnings.warn( 2025-12-04T11:43:17.9053889Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9053995Z warnings.warn( 2025-12-04T11:43:17.9054299Z ___________ RegionalInductorTests.test_flex_attention_serialize_True ___________ 2025-12-04T11:43:17.9054481Z Traceback (most recent call last): 2025-12-04T11:43:17.9054967Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.9055150Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.9055741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.9055895Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.9056518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.9056633Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.9057218Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.9057333Z result.sum().backward() 2025-12-04T11:43:17.9057791Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.9057929Z torch.autograd.backward( 2025-12-04T11:43:17.9058372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.9058569Z _engine_run_backward( 2025-12-04T11:43:17.9059075Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.9059600Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.9060080Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.9060244Z return user_fn(self, *args) 2025-12-04T11:43:17.9060826Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.9061037Z return impl_fn() 2025-12-04T11:43:17.9061604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.9061872Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.9062573Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.9062796Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.9063421Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.9063520Z disable( 2025-12-04T11:43:17.9063955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.9064078Z return fn(*args, **kwargs) 2025-12-04T11:43:17.9064635Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 57, in regional_inductor_pickle 2025-12-04T11:43:17.9064801Z result = regional_inductor(gm, *example_args) 2025-12-04T11:43:17.9065448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.9065591Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.9066328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.9066452Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.9067058Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.9067254Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.9067956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.9068143Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.9068742Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.9068940Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.9069546Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.9069739Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.9070373Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.9070491Z return standalone_compile( 2025-12-04T11:43:17.9071139Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.9071270Z compiled_fn = compile_fx( 2025-12-04T11:43:17.9071829Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.9071979Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.9072639Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.9072756Z return _compile_fx_main( 2025-12-04T11:43:17.9073311Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.9073418Z return aot_autograd( 2025-12-04T11:43:17.9073969Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.9074187Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.9074735Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.9074910Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.9075507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.9075736Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.9076445Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.9076602Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.9077272Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.9077437Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.9078140Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.9078357Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.9078875Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.9079035Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.9079544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.9079665Z return compile_fx_forward( 2025-12-04T11:43:17.9080280Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.9080392Z return inner_compile( 2025-12-04T11:43:17.9080891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.9081171Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.9081668Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.9081851Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.9082364Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.9082507Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.9083054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.9083422Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.9083956Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.9084083Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.9084638Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.9084773Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.9085259Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.9085401Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.9085586Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.9085592Z 2025-12-04T11:43:17.9085841Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9086447Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.9086453Z 2025-12-04T11:43:17.9086725Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9087039Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9087198Z unimplemented [] 2025-12-04T11:43:17.9087357Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9087612Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.9087712Z inductor [] 2025-12-04T11:43:17.9087843Z graph_break [] 2025-12-04T11:43:17.9088076Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9088824Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9088929Z warnings.warn( 2025-12-04T11:43:17.9089675Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9089779Z warnings.warn( 2025-12-04T11:43:17.9090012Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9090118Z unimplemented [] 2025-12-04T11:43:17.9090275Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9090528Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.9090629Z inductor [] 2025-12-04T11:43:17.9090726Z graph_break [] 2025-12-04T11:43:17.9091052Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9091784Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9091904Z warnings.warn( 2025-12-04T11:43:17.9092634Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9092737Z warnings.warn( 2025-12-04T11:43:17.9092896Z =================================== FAILURES =================================== 2025-12-04T11:43:17.9093186Z ___________ RegionalInductorTests.test_flex_attention_serialize_True ___________ 2025-12-04T11:43:17.9093313Z Traceback (most recent call last): 2025-12-04T11:43:17.9093794Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 252, in test_flex_attention 2025-12-04T11:43:17.9093960Z _, codes = run_fw_bw_and_get_code(lambda: opt_fn(x)) 2025-12-04T11:43:17.9094484Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2430, in run_fw_bw_and_get_code 2025-12-04T11:43:17.9094623Z return run_and_get_code(run_with_backward) 2025-12-04T11:43:17.9095138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2409, in run_and_get_code 2025-12-04T11:43:17.9095262Z result = fn(*args, **kwargs) 2025-12-04T11:43:17.9095740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2427, in run_with_backward 2025-12-04T11:43:17.9095854Z result.sum().backward() 2025-12-04T11:43:17.9096247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 629, in backward 2025-12-04T11:43:17.9096365Z torch.autograd.backward( 2025-12-04T11:43:17.9096817Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 364, in backward 2025-12-04T11:43:17.9096925Z _engine_run_backward( 2025-12-04T11:43:17.9097450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward 2025-12-04T11:43:17.9097860Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-12-04T11:43:17.9098287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/function.py", line 317, in apply 2025-12-04T11:43:17.9098400Z return user_fn(self, *args) 2025-12-04T11:43:17.9098981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2338, in backward 2025-12-04T11:43:17.9099116Z return impl_fn() 2025-12-04T11:43:17.9099689Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2324, in impl_fn 2025-12-04T11:43:17.9099897Z out = CompiledFunction._backward_impl(ctx, all_args) 2025-12-04T11:43:17.9100598Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 2465, in _backward_impl 2025-12-04T11:43:17.9100824Z CompiledFunction.compiled_bw = aot_config.bw_compiler( 2025-12-04T11:43:17.9101368Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 83, in _wrapped_bw_compiler 2025-12-04T11:43:17.9101474Z disable( 2025-12-04T11:43:17.9101897Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1154, in _fn 2025-12-04T11:43:17.9102012Z return fn(*args, **kwargs) 2025-12-04T11:43:17.9102509Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 57, in regional_inductor_pickle 2025-12-04T11:43:17.9102660Z result = regional_inductor(gm, *example_args) 2025-12-04T11:43:17.9103225Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 239, in regional_inductor 2025-12-04T11:43:17.9103377Z gm = _compile_inductor_marked_regions(gm) 2025-12-04T11:43:17.9104011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 217, in _compile_inductor_marked_regions 2025-12-04T11:43:17.9104147Z return _RegionCompiler()(gm) 2025-12-04T11:43:17.9104860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 207, in __call__ 2025-12-04T11:43:17.9105060Z return _RegionCompiler.recursively_compile_regions(gm) 2025-12-04T11:43:17.9105684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 202, in recursively_compile_regions 2025-12-04T11:43:17.9105832Z return _RegionCompiler.compile_region(gm) 2025-12-04T11:43:17.9106387Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 180, in compile_region 2025-12-04T11:43:17.9106553Z gm = _compile_submod(gm, "__marked_inductor_submod") 2025-12-04T11:43:17.9107096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/regional_inductor.py", line 96, in _compile_submod 2025-12-04T11:43:17.9107281Z compiled_fn = torch._inductor.standalone_compile( 2025-12-04T11:43:17.9107865Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 445, in standalone_compile 2025-12-04T11:43:17.9107985Z return standalone_compile( 2025-12-04T11:43:17.9108556Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/standalone_compile.py", line 423, in standalone_compile 2025-12-04T11:43:17.9108673Z compiled_fn = compile_fx( 2025-12-04T11:43:17.9109154Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2528, in compile_fx 2025-12-04T11:43:17.9109287Z return _maybe_wrap_and_compile_fx_main( 2025-12-04T11:43:17.9109862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2605, in _maybe_wrap_and_compile_fx_main 2025-12-04T11:43:17.9109988Z return _compile_fx_main( 2025-12-04T11:43:17.9111332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2800, in _compile_fx_main 2025-12-04T11:43:17.9111467Z return aot_autograd( 2025-12-04T11:43:17.9111940Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 123, in __call__ 2025-12-04T11:43:17.9112147Z cg = aot_module_simplified(gm, example_inputs, **self.kwargs) 2025-12-04T11:43:17.9112712Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 1115, in aot_module_simplified 2025-12-04T11:43:17.9112889Z compiled_fn, _ = aot_stage2_compile( 2025-12-04T11:43:17.9113489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 357, in aot_stage2_compile 2025-12-04T11:43:17.9113763Z return aot_stage2_inference(aot_state, aot_graph_capture) 2025-12-04T11:43:17.9114375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 431, in aot_stage2_inference 2025-12-04T11:43:17.9114542Z compiled_fw = _aot_stage2b_inference_compile( 2025-12-04T11:43:17.9115202Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 400, in _aot_stage2b_inference_compile 2025-12-04T11:43:17.9115367Z return _aot_stage2b_compile_forward_or_inference( 2025-12-04T11:43:17.9116087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/graph_compile.py", line 2300, in _aot_stage2b_compile_forward_or_inference 2025-12-04T11:43:17.9116292Z compiled_fw_func = compiler(fw_module, adjusted_flat_args) 2025-12-04T11:43:17.9116837Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py", line 1249, in __call__ 2025-12-04T11:43:17.9116989Z return self.compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.9117498Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2669, in fw_compiler_base 2025-12-04T11:43:17.9117630Z return compile_fx_forward( 2025-12-04T11:43:17.9118145Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2341, in compile_fx_forward 2025-12-04T11:43:17.9118254Z return inner_compile( 2025-12-04T11:43:17.9118762Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 806, in compile_fx_inner 2025-12-04T11:43:17.9119027Z return wrap_compiler_debug(_compile_fx_inner, compiler_name="inductor")( 2025-12-04T11:43:17.9119532Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 146, in debug_wrapper 2025-12-04T11:43:17.9119701Z inner_compiled_fn = compiler_fn(gm, example_inputs) 2025-12-04T11:43:17.9120204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 956, in _compile_fx_inner 2025-12-04T11:43:17.9120360Z mb_compiled_graph = fx_codegen_and_compile( 2025-12-04T11:43:17.9120929Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1757, in fx_codegen_and_compile 2025-12-04T11:43:17.9121264Z return scheme.codegen_and_compile(gm, example_inputs, inputs_to_check, graph_kwargs) 2025-12-04T11:43:17.9121784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1471, in codegen_and_compile 2025-12-04T11:43:17.9121913Z _check_triton_bf16_support(graph) 2025-12-04T11:43:17.9122472Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2911, in _check_triton_bf16_support 2025-12-04T11:43:17.9122592Z warn_and_skip(node.get_device()) 2025-12-04T11:43:17.9123085Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 2894, in warn_and_skip 2025-12-04T11:43:17.9123226Z raise SkipFrame("BF16 is not supported") 2025-12-04T11:43:17.9123396Z torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.9123432Z 2025-12-04T11:43:17.9123665Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9124254Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.9124260Z 2025-12-04T11:43:17.9124528Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9124791Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9124894Z unimplemented [] 2025-12-04T11:43:17.9125063Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9125303Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.9125435Z inductor [] 2025-12-04T11:43:17.9125546Z graph_break [] 2025-12-04T11:43:17.9125763Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9126533Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9126706Z warnings.warn( 2025-12-04T11:43:17.9127446Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9127562Z warnings.warn( 2025-12-04T11:43:17.9127780Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9127880Z unimplemented [] 2025-12-04T11:43:17.9128048Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9128285Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.9128383Z inductor [] 2025-12-04T11:43:17.9128492Z graph_break [] 2025-12-04T11:43:17.9128703Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9129447Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9129547Z warnings.warn( 2025-12-04T11:43:17.9130269Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9130380Z warnings.warn( 2025-12-04T11:43:17.9130596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9130698Z unimplemented [] 2025-12-04T11:43:17.9130863Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9131202Z aot_autograd [('total', 4), ('not_ok', 3), ('autograd_cache_miss', 2), ('ok', 1)] 2025-12-04T11:43:17.9131315Z inductor [] 2025-12-04T11:43:17.9131411Z graph_break [] 2025-12-04T11:43:17.9131622Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9132413Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9132514Z warnings.warn( 2025-12-04T11:43:17.9133242Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9133358Z warnings.warn( 2025-12-04T11:43:17.9134142Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-99a3c12beb8b9b4c.xml - 2025-12-04T11:43:17.9134326Z =========================== short test summary info ============================ 2025-12-04T11:43:17.9135058Z FAILED [0.9163s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True - torch._dynamo.exc.SkipFrame: BF16 is not supported 2025-12-04T11:43:17.9135064Z 2025-12-04T11:43:17.9135311Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9135915Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_flex_attention_serialize_True 2025-12-04T11:43:17.9135921Z 2025-12-04T11:43:17.9136190Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9136380Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.9136613Z ================== 1 failed, 19 deselected, 2 rerun in 23.85s ================== 2025-12-04T11:43:17.9136713Z Got exit code 1 2025-12-04T11:43:17.9137237Z FAILED CONSISTENTLY: test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True 2025-12-04T11:43:17.9137681Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:43:17.9138291Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-0020320ae86b4228.xml 2025-12-04T11:43:17.9138457Z ============================= test session starts ============================== 2025-12-04T11:43:17.9138809Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.9138931Z cachedir: .pytest_cache 2025-12-04T11:43:17.9139454Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.9139581Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.9139702Z configfile: pytest.ini 2025-12-04T11:43:17.9140296Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.9140522Z collecting ... collected 20 items / 4 deselected / 16 selected 2025-12-04T11:43:17.9140662Z stepcurrent: skipping 4 already run items. 2025-12-04T11:43:17.9140777Z Running 16 items in this shard 2025-12-04T11:43:17.9140783Z 2025-12-04T11:43:17.9141266Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_invalid_inductor_config PASSED [1.8935s] [ 6%] 2025-12-04T11:43:17.9141789Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_inner_serialize_False PASSED [4.8396s] [ 12%] 2025-12-04T11:43:17.9142322Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_inner_serialize_True PASSED [1.8121s] [ 18%] 2025-12-04T11:43:17.9142817Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_serialize_False PASSED [1.8057s] [ 25%] 2025-12-04T11:43:17.9143311Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_invoke_subgraph_serialize_True PASSED [1.8332s] [ 31%] 2025-12-04T11:43:17.9143866Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_max_autotune_no_cudagraphs_serialize_False PASSED [1.3893s] [ 37%] 2025-12-04T11:43:17.9144404Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_max_autotune_no_cudagraphs_serialize_True PASSED [1.4128s] [ 43%] 2025-12-04T11:43:17.9144943Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_repeated_blocks_serialize_False PASSED [2.1335s] [ 50%] 2025-12-04T11:43:17.9145432Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_repeated_blocks_serialize_True PASSED [2.1736s] [ 56%] 2025-12-04T11:43:17.9146205Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False W1204 11:40:07.380000 111941 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9146873Z W1204 11:40:07.380000 111941 site-packages/torch/_logging/_internal.py:1204] [0/0] Detected that context_fn is passed to torch.utils.checkpoint under torch.compile. 2025-12-04T11:43:17.9147569Z W1204 11:40:07.380000 111941 site-packages/torch/_logging/_internal.py:1204] [0/0] Please make sure the checkpointed region does not contain in-place ops (e.g. torch.relu_). 2025-12-04T11:43:17.9147893Z W1204 11:40:07.380000 111941 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9148029Z ('RERUN', {'yellow': True}) [2.2152s] [ 62%] 2025-12-04T11:43:17.9148630Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False ('RERUN', {'yellow': True}) [1.4002s] [ 62%] 2025-12-04T11:43:17.9149146Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False FAILED [1.1790s] [ 62%] 2025-12-04T11:43:17.9149182Z 2025-12-04T11:43:17.9149325Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.9149633Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_False _________ 2025-12-04T11:43:17.9149759Z Traceback (most recent call last): 2025-12-04T11:43:17.9150282Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9150424Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9150891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9151061Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9151617Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9151825Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9151974Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9151982Z 2025-12-04T11:43:17.9152089Z Expected 2 but got 0. 2025-12-04T11:43:17.9152198Z Absolute difference: 2 2025-12-04T11:43:17.9152326Z Relative difference: 1.0 2025-12-04T11:43:17.9152331Z 2025-12-04T11:43:17.9152547Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9153180Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9153185Z 2025-12-04T11:43:17.9153457Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9153680Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9153799Z unimplemented [] 2025-12-04T11:43:17.9153952Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9154175Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9154427Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9154529Z graph_break [] 2025-12-04T11:43:17.9154754Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9156484Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9156591Z warnings.warn( 2025-12-04T11:43:17.9157380Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9157487Z warnings.warn( 2025-12-04T11:43:17.9158778Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9158786Z 2025-12-04T11:43:17.9158949Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9158956Z 2025-12-04T11:43:17.9159157Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9159452Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9159457Z 2025-12-04T11:43:17.9160049Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9160159Z _warn_once( 2025-12-04T11:43:17.9160453Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_False _________ 2025-12-04T11:43:17.9160573Z Traceback (most recent call last): 2025-12-04T11:43:17.9161070Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9161243Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9161713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9161875Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9162442Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9162660Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9162792Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9162797Z 2025-12-04T11:43:17.9162904Z Expected 2 but got 0. 2025-12-04T11:43:17.9163024Z Absolute difference: 2 2025-12-04T11:43:17.9163133Z Relative difference: 1.0 2025-12-04T11:43:17.9163138Z 2025-12-04T11:43:17.9163368Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9163981Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9163988Z 2025-12-04T11:43:17.9164253Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9164486Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9164595Z unimplemented [] 2025-12-04T11:43:17.9164773Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9164993Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9165236Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9165351Z graph_break [] 2025-12-04T11:43:17.9165564Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9167300Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9167419Z warnings.warn( 2025-12-04T11:43:17.9168151Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9168268Z warnings.warn( 2025-12-04T11:43:17.9169585Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9169592Z 2025-12-04T11:43:17.9169768Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9169774Z 2025-12-04T11:43:17.9169954Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9170253Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9170258Z 2025-12-04T11:43:17.9170832Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9170929Z _warn_once( 2025-12-04T11:43:17.9171292Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9171395Z unimplemented [] 2025-12-04T11:43:17.9171592Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9171828Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9172068Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9172165Z graph_break [] 2025-12-04T11:43:17.9172394Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9174117Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9174295Z warnings.warn( 2025-12-04T11:43:17.9175025Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9175126Z warnings.warn( 2025-12-04T11:43:17.9175287Z =================================== FAILURES =================================== 2025-12-04T11:43:17.9175581Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_False _________ 2025-12-04T11:43:17.9175715Z Traceback (most recent call last): 2025-12-04T11:43:17.9176201Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9176326Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9176796Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9176965Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9177505Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9177723Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9177856Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9177861Z 2025-12-04T11:43:17.9177982Z Expected 2 but got 0. 2025-12-04T11:43:17.9178089Z Absolute difference: 2 2025-12-04T11:43:17.9178198Z Relative difference: 1.0 2025-12-04T11:43:17.9178204Z 2025-12-04T11:43:17.9178472Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9179144Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9179153Z 2025-12-04T11:43:17.9179501Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9179723Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9179829Z unimplemented [] 2025-12-04T11:43:17.9179997Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9180216Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9180458Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9180615Z graph_break [] 2025-12-04T11:43:17.9180832Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9182573Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9182677Z warnings.warn( 2025-12-04T11:43:17.9183402Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9183514Z warnings.warn( 2025-12-04T11:43:17.9184818Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9184825Z 2025-12-04T11:43:17.9184997Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9185002Z 2025-12-04T11:43:17.9185180Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9185506Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9185512Z 2025-12-04T11:43:17.9186084Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9186210Z _warn_once( 2025-12-04T11:43:17.9186439Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9186540Z unimplemented [] 2025-12-04T11:43:17.9186697Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9186932Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9187171Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9187269Z graph_break [] 2025-12-04T11:43:17.9187497Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9189229Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9189345Z warnings.warn( 2025-12-04T11:43:17.9190076Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9190176Z warnings.warn( 2025-12-04T11:43:17.9190401Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9190501Z unimplemented [] 2025-12-04T11:43:17.9190667Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9190888Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9191129Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9191238Z graph_break [] 2025-12-04T11:43:17.9191449Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9193166Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9193282Z warnings.warn( 2025-12-04T11:43:17.9194043Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9194156Z warnings.warn( 2025-12-04T11:43:17.9194928Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-0020320ae86b4228.xml - 2025-12-04T11:43:17.9195102Z =========================== short test summary info ============================ 2025-12-04T11:43:17.9195788Z FAILED [1.1790s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False - AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9195796Z 2025-12-04T11:43:17.9195901Z Expected 2 but got 0. 2025-12-04T11:43:17.9196020Z Absolute difference: 2 2025-12-04T11:43:17.9196129Z Relative difference: 1.0 2025-12-04T11:43:17.9196163Z 2025-12-04T11:43:17.9196378Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9197009Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9197015Z 2025-12-04T11:43:17.9197282Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9197505Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.9197721Z ============= 1 failed, 9 passed, 4 deselected, 2 rerun in 24.14s ============== 2025-12-04T11:43:17.9197819Z Got exit code 1 2025-12-04T11:43:17.9197939Z Retrying single test... 2025-12-04T11:43:17.9198566Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-09f96a91053e97b7.xml 2025-12-04T11:43:17.9198728Z ============================= test session starts ============================== 2025-12-04T11:43:17.9199094Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.9199203Z cachedir: .pytest_cache 2025-12-04T11:43:17.9199736Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.9199860Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.9199974Z configfile: pytest.ini 2025-12-04T11:43:17.9200581Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.9200796Z collecting ... collected 20 items / 19 deselected / 1 selected 2025-12-04T11:43:17.9201512Z stepcurrent: skipping 13 already run items. Running only test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9201629Z Running 1 items in this shard 2025-12-04T11:43:17.9201634Z 2025-12-04T11:43:17.9202410Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False W1204 11:40:27.047000 112602 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9203073Z W1204 11:40:27.047000 112602 site-packages/torch/_logging/_internal.py:1204] [0/0] Detected that context_fn is passed to torch.utils.checkpoint under torch.compile. 2025-12-04T11:43:17.9203765Z W1204 11:40:27.047000 112602 site-packages/torch/_logging/_internal.py:1204] [0/0] Please make sure the checkpointed region does not contain in-place ops (e.g. torch.relu_). 2025-12-04T11:43:17.9204060Z W1204 11:40:27.047000 112602 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9204805Z [W1204 11:40:30.887172052 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9204817Z 2025-12-04T11:43:17.9205341Z [W1204 11:40:46.761678405 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9205359Z 2025-12-04T11:43:17.9205956Z [W1204 11:40:46.770841747 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9205962Z 2025-12-04T11:43:17.9206478Z [W1204 11:40:46.771088836 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9206485Z 2025-12-04T11:43:17.9207010Z [W1204 11:40:46.771644440 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9207016Z 2025-12-04T11:43:17.9207526Z [W1204 11:40:46.771860677 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9207533Z 2025-12-04T11:43:17.9208057Z [W1204 11:40:46.772367142 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9208121Z 2025-12-04T11:43:17.9208637Z [W1204 11:40:46.772570712 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9208641Z 2025-12-04T11:43:17.9209162Z [W1204 11:40:46.773042024 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9209211Z 2025-12-04T11:43:17.9209722Z [W1204 11:40:46.773241757 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9209727Z 2025-12-04T11:43:17.9210255Z [W1204 11:40:46.773664947 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9210300Z 2025-12-04T11:43:17.9210812Z [W1204 11:40:46.773862436 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9210817Z 2025-12-04T11:43:17.9211423Z [W1204 11:40:46.774304002 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9211455Z 2025-12-04T11:43:17.9211970Z [W1204 11:40:46.774502168 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9211975Z 2025-12-04T11:43:17.9212488Z [W1204 11:40:46.774872783 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9212492Z 2025-12-04T11:43:17.9213021Z [W1204 11:40:46.775072956 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9213028Z 2025-12-04T11:43:17.9213162Z ('RERUN', {'yellow': True}) [22.7732s] [100%] 2025-12-04T11:43:17.9214201Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False [W1204 11:40:48.170848585 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9214207Z 2025-12-04T11:43:17.9214725Z [W1204 11:40:48.171121749 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9214729Z 2025-12-04T11:43:17.9215255Z [W1204 11:40:48.173977935 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9215262Z 2025-12-04T11:43:17.9215777Z [W1204 11:40:48.174200820 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9215782Z 2025-12-04T11:43:17.9216295Z [W1204 11:40:48.174638670 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9216313Z 2025-12-04T11:43:17.9216827Z [W1204 11:40:48.174861586 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9216875Z 2025-12-04T11:43:17.9217390Z [W1204 11:40:48.175327736 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9217395Z 2025-12-04T11:43:17.9217917Z [W1204 11:40:48.175527955 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9217924Z 2025-12-04T11:43:17.9218437Z [W1204 11:40:48.175936434 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9218442Z 2025-12-04T11:43:17.9218968Z [W1204 11:40:48.176132997 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9218975Z 2025-12-04T11:43:17.9219518Z [W1204 11:40:48.176535676 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9219523Z 2025-12-04T11:43:17.9220049Z [W1204 11:40:48.176733673 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9220053Z 2025-12-04T11:43:17.9220564Z [W1204 11:40:48.177162817 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9220598Z 2025-12-04T11:43:17.9221122Z [W1204 11:40:48.177362569 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9221127Z 2025-12-04T11:43:17.9221637Z [W1204 11:40:48.177720676 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9221672Z 2025-12-04T11:43:17.9222189Z [W1204 11:40:48.177915068 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9222209Z 2025-12-04T11:43:17.9222344Z ('RERUN', {'yellow': True}) [1.1706s] [100%] 2025-12-04T11:43:17.9223362Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False [W1204 11:40:49.325987130 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9223370Z 2025-12-04T11:43:17.9223902Z [W1204 11:40:49.326251992 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9223906Z 2025-12-04T11:43:17.9224418Z [W1204 11:40:49.329128175 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9224425Z 2025-12-04T11:43:17.9224952Z [W1204 11:40:49.329352773 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9224957Z 2025-12-04T11:43:17.9225475Z [W1204 11:40:49.329791916 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9225480Z 2025-12-04T11:43:17.9226004Z [W1204 11:40:49.330020818 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9226009Z 2025-12-04T11:43:17.9226519Z [W1204 11:40:49.330506462 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9226524Z 2025-12-04T11:43:17.9227033Z [W1204 11:40:49.330728597 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9227054Z 2025-12-04T11:43:17.9227564Z [W1204 11:40:49.331149858 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9227568Z 2025-12-04T11:43:17.9228115Z [W1204 11:40:49.331347780 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9228120Z 2025-12-04T11:43:17.9228646Z [W1204 11:40:49.331749640 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9228651Z 2025-12-04T11:43:17.9229167Z [W1204 11:40:49.331952710 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9229175Z 2025-12-04T11:43:17.9229702Z [W1204 11:40:49.332383525 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9229708Z 2025-12-04T11:43:17.9230221Z [W1204 11:40:49.332582358 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9230226Z 2025-12-04T11:43:17.9230847Z [W1204 11:40:49.332928856 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9230854Z 2025-12-04T11:43:17.9231367Z [W1204 11:40:49.333121221 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9231372Z 2025-12-04T11:43:17.9231473Z FAILED [1.1405s] [100%] 2025-12-04T11:43:17.9231522Z 2025-12-04T11:43:17.9231666Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.9231964Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_False _________ 2025-12-04T11:43:17.9232101Z Traceback (most recent call last): 2025-12-04T11:43:17.9232588Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9232744Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9233224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9233388Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9233937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9234142Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9234272Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9234280Z 2025-12-04T11:43:17.9234396Z Expected 2 but got 0. 2025-12-04T11:43:17.9234503Z Absolute difference: 2 2025-12-04T11:43:17.9234612Z Relative difference: 1.0 2025-12-04T11:43:17.9234617Z 2025-12-04T11:43:17.9234840Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9235458Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9235463Z 2025-12-04T11:43:17.9235746Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9235968Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9236075Z unimplemented [] 2025-12-04T11:43:17.9236243Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9236462Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9236719Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9236820Z graph_break [] 2025-12-04T11:43:17.9237036Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9238774Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9238885Z warnings.warn( 2025-12-04T11:43:17.9240145Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9240266Z if out == self.unknown_value: 2025-12-04T11:43:17.9240997Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9241115Z warnings.warn( 2025-12-04T11:43:17.9242387Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9242395Z 2025-12-04T11:43:17.9242597Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9242603Z 2025-12-04T11:43:17.9242787Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9243085Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9243091Z 2025-12-04T11:43:17.9243664Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9243788Z _warn_once( 2025-12-04T11:43:17.9244099Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_False _________ 2025-12-04T11:43:17.9244221Z Traceback (most recent call last): 2025-12-04T11:43:17.9244707Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9244869Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9245328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9245495Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9246050Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9246255Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9246400Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9246407Z 2025-12-04T11:43:17.9246513Z Expected 2 but got 0. 2025-12-04T11:43:17.9246619Z Absolute difference: 2 2025-12-04T11:43:17.9246741Z Relative difference: 1.0 2025-12-04T11:43:17.9246746Z 2025-12-04T11:43:17.9246960Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9247568Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9247587Z 2025-12-04T11:43:17.9247853Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9248073Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9248191Z unimplemented [] 2025-12-04T11:43:17.9248346Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9248567Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9248818Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9248920Z graph_break [] 2025-12-04T11:43:17.9249148Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9250868Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9251090Z warnings.warn( 2025-12-04T11:43:17.9252398Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9252519Z if out == self.unknown_value: 2025-12-04T11:43:17.9253263Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9253369Z warnings.warn( 2025-12-04T11:43:17.9254650Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9254673Z 2025-12-04T11:43:17.9254836Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9254874Z 2025-12-04T11:43:17.9255060Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9255374Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9255379Z 2025-12-04T11:43:17.9255941Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9256069Z _warn_once( 2025-12-04T11:43:17.9256297Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9256399Z unimplemented [] 2025-12-04T11:43:17.9256566Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9256787Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9257058Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9257168Z graph_break [] 2025-12-04T11:43:17.9257385Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9259121Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9259224Z warnings.warn( 2025-12-04T11:43:17.9259953Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9260067Z warnings.warn( 2025-12-04T11:43:17.9260210Z =================================== FAILURES =================================== 2025-12-04T11:43:17.9260505Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_False _________ 2025-12-04T11:43:17.9260638Z Traceback (most recent call last): 2025-12-04T11:43:17.9261126Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9261259Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9261720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9261885Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9262439Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9262643Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9262775Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9262795Z 2025-12-04T11:43:17.9262898Z Expected 2 but got 0. 2025-12-04T11:43:17.9263003Z Absolute difference: 2 2025-12-04T11:43:17.9263123Z Relative difference: 1.0 2025-12-04T11:43:17.9263128Z 2025-12-04T11:43:17.9263342Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9263984Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9263990Z 2025-12-04T11:43:17.9264271Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9264487Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9264604Z unimplemented [] 2025-12-04T11:43:17.9264758Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9264974Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9265226Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9265327Z graph_break [] 2025-12-04T11:43:17.9265542Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9267308Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9267410Z warnings.warn( 2025-12-04T11:43:17.9268624Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9268775Z if out == self.unknown_value: 2025-12-04T11:43:17.9269514Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9269649Z warnings.warn( 2025-12-04T11:43:17.9270927Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9270933Z 2025-12-04T11:43:17.9271106Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9271111Z 2025-12-04T11:43:17.9271288Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9271600Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9271605Z 2025-12-04T11:43:17.9272167Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9272264Z _warn_once( 2025-12-04T11:43:17.9272495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9272601Z unimplemented [] 2025-12-04T11:43:17.9272757Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9272991Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9273232Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9273345Z graph_break [] 2025-12-04T11:43:17.9273558Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9275283Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9275404Z warnings.warn( 2025-12-04T11:43:17.9276135Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9276246Z warnings.warn( 2025-12-04T11:43:17.9276493Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9276597Z unimplemented [] 2025-12-04T11:43:17.9276765Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9276986Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9277226Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9277335Z graph_break [] 2025-12-04T11:43:17.9277547Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9279298Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9279401Z warnings.warn( 2025-12-04T11:43:17.9280131Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9280242Z warnings.warn( 2025-12-04T11:43:17.9281022Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-09f96a91053e97b7.xml - 2025-12-04T11:43:17.9281238Z =========================== short test summary info ============================ 2025-12-04T11:43:17.9281910Z FAILED [1.1405s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False - AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9281945Z 2025-12-04T11:43:17.9282054Z Expected 2 but got 0. 2025-12-04T11:43:17.9282176Z Absolute difference: 2 2025-12-04T11:43:17.9282285Z Relative difference: 1.0 2025-12-04T11:43:17.9282290Z 2025-12-04T11:43:17.9282521Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9283139Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9283145Z 2025-12-04T11:43:17.9283413Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9283607Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.9283807Z ================== 1 failed, 19 deselected, 2 rerun in 25.12s ================== 2025-12-04T11:43:17.9283920Z Got exit code 1 2025-12-04T11:43:17.9284029Z Retrying single test... 2025-12-04T11:43:17.9284632Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-2f3d206cdd42e608.xml 2025-12-04T11:43:17.9284809Z ============================= test session starts ============================== 2025-12-04T11:43:17.9285163Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.9285276Z cachedir: .pytest_cache 2025-12-04T11:43:17.9285812Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.9285938Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.9286062Z configfile: pytest.ini 2025-12-04T11:43:17.9286655Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.9286872Z collecting ... collected 20 items / 19 deselected / 1 selected 2025-12-04T11:43:17.9287587Z stepcurrent: skipping 13 already run items. Running only test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9287706Z Running 1 items in this shard 2025-12-04T11:43:17.9287711Z 2025-12-04T11:43:17.9288539Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False W1204 11:41:02.865000 112813 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9289192Z W1204 11:41:02.865000 112813 site-packages/torch/_logging/_internal.py:1204] [0/0] Detected that context_fn is passed to torch.utils.checkpoint under torch.compile. 2025-12-04T11:43:17.9289885Z W1204 11:41:02.865000 112813 site-packages/torch/_logging/_internal.py:1204] [0/0] Please make sure the checkpointed region does not contain in-place ops (e.g. torch.relu_). 2025-12-04T11:43:17.9290183Z W1204 11:41:02.865000 112813 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9290707Z [W1204 11:41:05.709090709 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9290715Z 2025-12-04T11:43:17.9291391Z [W1204 11:41:21.045190712 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9291399Z 2025-12-04T11:43:17.9291915Z [W1204 11:41:21.054312495 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9291920Z 2025-12-04T11:43:17.9292446Z [W1204 11:41:21.054550348 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9292485Z 2025-12-04T11:43:17.9292999Z [W1204 11:41:21.055110663 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9293004Z 2025-12-04T11:43:17.9293513Z [W1204 11:41:21.055315048 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9293565Z 2025-12-04T11:43:17.9294092Z [W1204 11:41:21.055815678 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9294099Z 2025-12-04T11:43:17.9294612Z [W1204 11:41:21.056012741 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9294617Z 2025-12-04T11:43:17.9295140Z [W1204 11:41:21.056473773 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9295147Z 2025-12-04T11:43:17.9295658Z [W1204 11:41:21.056670701 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9295663Z 2025-12-04T11:43:17.9296184Z [W1204 11:41:21.057083530 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9296191Z 2025-12-04T11:43:17.9296704Z [W1204 11:41:21.057279697 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9296709Z 2025-12-04T11:43:17.9297243Z [W1204 11:41:21.057723031 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9297248Z 2025-12-04T11:43:17.9297756Z [W1204 11:41:21.057918967 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9297760Z 2025-12-04T11:43:17.9298352Z [W1204 11:41:21.058282756 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9298370Z 2025-12-04T11:43:17.9298880Z [W1204 11:41:21.058477278 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9298887Z 2025-12-04T11:43:17.9299018Z ('RERUN', {'yellow': True}) [22.1726s] [100%] 2025-12-04T11:43:17.9300048Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False [W1204 11:41:23.405779468 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9300086Z 2025-12-04T11:43:17.9300601Z [W1204 11:41:23.406025074 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9300606Z 2025-12-04T11:43:17.9301129Z [W1204 11:41:23.408852996 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9301136Z 2025-12-04T11:43:17.9301648Z [W1204 11:41:23.409070681 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9301653Z 2025-12-04T11:43:17.9302175Z [W1204 11:41:23.409504406 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9302180Z 2025-12-04T11:43:17.9302721Z [W1204 11:41:23.409706168 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9302726Z 2025-12-04T11:43:17.9303249Z [W1204 11:41:23.410191527 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9303253Z 2025-12-04T11:43:17.9303763Z [W1204 11:41:23.410403399 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9303798Z 2025-12-04T11:43:17.9304309Z [W1204 11:41:23.410824734 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9304314Z 2025-12-04T11:43:17.9305001Z [W1204 11:41:23.411019394 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9305073Z 2025-12-04T11:43:17.9305587Z [W1204 11:41:23.411418258 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9305593Z 2025-12-04T11:43:17.9306116Z [W1204 11:41:23.411615375 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9306121Z 2025-12-04T11:43:17.9306631Z [W1204 11:41:23.412040814 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9306639Z 2025-12-04T11:43:17.9307161Z [W1204 11:41:23.412238577 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9307166Z 2025-12-04T11:43:17.9307676Z [W1204 11:41:23.412584803 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9307683Z 2025-12-04T11:43:17.9308208Z [W1204 11:41:23.412775966 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9308213Z 2025-12-04T11:43:17.9308344Z ('RERUN', {'yellow': True}) [1.1644s] [100%] 2025-12-04T11:43:17.9309361Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False [W1204 11:41:24.573600606 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9309381Z 2025-12-04T11:43:17.9309892Z [W1204 11:41:24.573851620 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9309897Z 2025-12-04T11:43:17.9310406Z [W1204 11:41:24.576724025 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9310413Z 2025-12-04T11:43:17.9310941Z [W1204 11:41:24.576937805 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9310946Z 2025-12-04T11:43:17.9311514Z [W1204 11:41:24.577367420 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9311519Z 2025-12-04T11:43:17.9312044Z [W1204 11:41:24.577566105 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9312049Z 2025-12-04T11:43:17.9312561Z [W1204 11:41:24.578026645 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9312566Z 2025-12-04T11:43:17.9313090Z [W1204 11:41:24.578224918 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9313097Z 2025-12-04T11:43:17.9313606Z [W1204 11:41:24.578630068 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9313611Z 2025-12-04T11:43:17.9314181Z [W1204 11:41:24.578840054 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9314187Z 2025-12-04T11:43:17.9314698Z [W1204 11:41:24.579247755 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9314703Z 2025-12-04T11:43:17.9315213Z [W1204 11:41:24.579445094 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9315255Z 2025-12-04T11:43:17.9315783Z [W1204 11:41:24.579875504 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9315817Z 2025-12-04T11:43:17.9316326Z [W1204 11:41:24.580094393 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9316331Z 2025-12-04T11:43:17.9316859Z [W1204 11:41:24.580458292 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9316865Z 2025-12-04T11:43:17.9317375Z [W1204 11:41:24.580650056 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9317380Z 2025-12-04T11:43:17.9317494Z FAILED [1.1627s] [100%] 2025-12-04T11:43:17.9317501Z 2025-12-04T11:43:17.9317643Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.9317939Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_False _________ 2025-12-04T11:43:17.9318073Z Traceback (most recent call last): 2025-12-04T11:43:17.9318559Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9318693Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9319160Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9319324Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9319883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9320089Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9320221Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9320241Z 2025-12-04T11:43:17.9320345Z Expected 2 but got 0. 2025-12-04T11:43:17.9320452Z Absolute difference: 2 2025-12-04T11:43:17.9320573Z Relative difference: 1.0 2025-12-04T11:43:17.9320578Z 2025-12-04T11:43:17.9320791Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9321405Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9321411Z 2025-12-04T11:43:17.9321692Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9321942Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9322058Z unimplemented [] 2025-12-04T11:43:17.9322219Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9322441Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9322693Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9322794Z graph_break [] 2025-12-04T11:43:17.9323011Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9324756Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9324891Z warnings.warn( 2025-12-04T11:43:17.9326119Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9326234Z if out == self.unknown_value: 2025-12-04T11:43:17.9327003Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9327118Z warnings.warn( 2025-12-04T11:43:17.9328390Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9328427Z 2025-12-04T11:43:17.9328608Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9328613Z 2025-12-04T11:43:17.9328797Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9329106Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9329111Z 2025-12-04T11:43:17.9329670Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9329766Z _warn_once( 2025-12-04T11:43:17.9330076Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_False _________ 2025-12-04T11:43:17.9330199Z Traceback (most recent call last): 2025-12-04T11:43:17.9330679Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9330814Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9331377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9331562Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9332103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9332308Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9332455Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9332462Z 2025-12-04T11:43:17.9332568Z Expected 2 but got 0. 2025-12-04T11:43:17.9332678Z Absolute difference: 2 2025-12-04T11:43:17.9332805Z Relative difference: 1.0 2025-12-04T11:43:17.9332811Z 2025-12-04T11:43:17.9333026Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9333654Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9333661Z 2025-12-04T11:43:17.9333929Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9334150Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9334306Z unimplemented [] 2025-12-04T11:43:17.9334463Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9334695Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9334936Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9335037Z graph_break [] 2025-12-04T11:43:17.9335263Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9336998Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9337153Z warnings.warn( 2025-12-04T11:43:17.9338570Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9338689Z if out == self.unknown_value: 2025-12-04T11:43:17.9339431Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9339590Z warnings.warn( 2025-12-04T11:43:17.9340879Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9340916Z 2025-12-04T11:43:17.9341080Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9341087Z 2025-12-04T11:43:17.9341268Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9341580Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9341586Z 2025-12-04T11:43:17.9342147Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9342258Z _warn_once( 2025-12-04T11:43:17.9342476Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9342581Z unimplemented [] 2025-12-04T11:43:17.9342752Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9342971Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9343216Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9343326Z graph_break [] 2025-12-04T11:43:17.9343545Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9345279Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9345382Z warnings.warn( 2025-12-04T11:43:17.9346107Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9346220Z warnings.warn( 2025-12-04T11:43:17.9346365Z =================================== FAILURES =================================== 2025-12-04T11:43:17.9346675Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_False _________ 2025-12-04T11:43:17.9346795Z Traceback (most recent call last): 2025-12-04T11:43:17.9347318Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9347457Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9347916Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9348079Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9348633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9348839Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9348981Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9348988Z 2025-12-04T11:43:17.9349093Z Expected 2 but got 0. 2025-12-04T11:43:17.9349200Z Absolute difference: 2 2025-12-04T11:43:17.9349321Z Relative difference: 1.0 2025-12-04T11:43:17.9349326Z 2025-12-04T11:43:17.9349570Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9350197Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9350202Z 2025-12-04T11:43:17.9350470Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9350686Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9350834Z unimplemented [] 2025-12-04T11:43:17.9350989Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9351208Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9351460Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9351589Z graph_break [] 2025-12-04T11:43:17.9351816Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9353545Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9353648Z warnings.warn( 2025-12-04T11:43:17.9354867Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9354986Z if out == self.unknown_value: 2025-12-04T11:43:17.9355731Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9355833Z warnings.warn( 2025-12-04T11:43:17.9357118Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9357138Z 2025-12-04T11:43:17.9357301Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9357306Z 2025-12-04T11:43:17.9357485Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9357802Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9357807Z 2025-12-04T11:43:17.9358366Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9358479Z _warn_once( 2025-12-04T11:43:17.9358698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9358804Z unimplemented [] 2025-12-04T11:43:17.9358978Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9359240Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9359482Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9359594Z graph_break [] 2025-12-04T11:43:17.9359808Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9361546Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9361654Z warnings.warn( 2025-12-04T11:43:17.9362385Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9362535Z warnings.warn( 2025-12-04T11:43:17.9362757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9362860Z unimplemented [] 2025-12-04T11:43:17.9363029Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9363250Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9363533Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9363633Z graph_break [] 2025-12-04T11:43:17.9363848Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9365593Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9365728Z warnings.warn( 2025-12-04T11:43:17.9366474Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9366576Z warnings.warn( 2025-12-04T11:43:17.9367362Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-2f3d206cdd42e608.xml - 2025-12-04T11:43:17.9367552Z =========================== short test summary info ============================ 2025-12-04T11:43:17.9368231Z FAILED [1.1627s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False - AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9368239Z 2025-12-04T11:43:17.9368361Z Expected 2 but got 0. 2025-12-04T11:43:17.9368470Z Absolute difference: 2 2025-12-04T11:43:17.9368579Z Relative difference: 1.0 2025-12-04T11:43:17.9368584Z 2025-12-04T11:43:17.9368819Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9369437Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9369442Z 2025-12-04T11:43:17.9369723Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9369908Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.9370109Z ================== 1 failed, 19 deselected, 2 rerun in 24.53s ================== 2025-12-04T11:43:17.9370226Z Got exit code 1 2025-12-04T11:43:17.9370761Z FAILED CONSISTENTLY: test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False 2025-12-04T11:43:17.9371273Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:43:17.9371884Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-096a4576d19655ed.xml 2025-12-04T11:43:17.9372093Z ============================= test session starts ============================== 2025-12-04T11:43:17.9372462Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.9372571Z cachedir: .pytest_cache 2025-12-04T11:43:17.9373096Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.9373233Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.9373340Z configfile: pytest.ini 2025-12-04T11:43:17.9373931Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.9374160Z collecting ... collected 20 items / 14 deselected / 6 selected 2025-12-04T11:43:17.9374301Z stepcurrent: skipping 14 already run items. 2025-12-04T11:43:17.9374464Z Running 6 items in this shard 2025-12-04T11:43:17.9374470Z 2025-12-04T11:43:17.9375244Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True W1204 11:41:38.290000 113024 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9375895Z W1204 11:41:38.290000 113024 site-packages/torch/_logging/_internal.py:1204] [0/0] Detected that context_fn is passed to torch.utils.checkpoint under torch.compile. 2025-12-04T11:43:17.9376627Z W1204 11:41:38.290000 113024 site-packages/torch/_logging/_internal.py:1204] [0/0] Please make sure the checkpointed region does not contain in-place ops (e.g. torch.relu_). 2025-12-04T11:43:17.9376907Z W1204 11:41:38.290000 113024 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9377080Z ('RERUN', {'yellow': True}) [6.8916s] [ 16%] 2025-12-04T11:43:17.9377675Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True ('RERUN', {'yellow': True}) [1.1758s] [ 16%] 2025-12-04T11:43:17.9378168Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True FAILED [1.1619s] [ 16%] 2025-12-04T11:43:17.9378186Z 2025-12-04T11:43:17.9378323Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.9378616Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_True __________ 2025-12-04T11:43:17.9378752Z Traceback (most recent call last): 2025-12-04T11:43:17.9379235Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9379357Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9379830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9379998Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9380555Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9380761Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9380894Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9380899Z 2025-12-04T11:43:17.9381017Z Expected 2 but got 0. 2025-12-04T11:43:17.9381123Z Absolute difference: 2 2025-12-04T11:43:17.9381231Z Relative difference: 1.0 2025-12-04T11:43:17.9381238Z 2025-12-04T11:43:17.9381463Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9382070Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9382075Z 2025-12-04T11:43:17.9382354Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9382577Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9382680Z unimplemented [] 2025-12-04T11:43:17.9382853Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9383113Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9383356Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9383465Z graph_break [] 2025-12-04T11:43:17.9383679Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9385412Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9385518Z warnings.warn( 2025-12-04T11:43:17.9386314Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9386418Z warnings.warn( 2025-12-04T11:43:17.9387697Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9387703Z 2025-12-04T11:43:17.9387944Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9387949Z 2025-12-04T11:43:17.9388131Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9388439Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9388444Z 2025-12-04T11:43:17.9389042Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9389140Z _warn_once( 2025-12-04T11:43:17.9389454Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_True __________ 2025-12-04T11:43:17.9389577Z Traceback (most recent call last): 2025-12-04T11:43:17.9390069Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9390207Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9390670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9390851Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9391392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9391599Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9391745Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9391750Z 2025-12-04T11:43:17.9391855Z Expected 2 but got 0. 2025-12-04T11:43:17.9391975Z Absolute difference: 2 2025-12-04T11:43:17.9392086Z Relative difference: 1.0 2025-12-04T11:43:17.9392091Z 2025-12-04T11:43:17.9392307Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9392925Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9392930Z 2025-12-04T11:43:17.9393199Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9393417Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9393532Z unimplemented [] 2025-12-04T11:43:17.9393685Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9393917Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9394157Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9394255Z graph_break [] 2025-12-04T11:43:17.9394480Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9396243Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9396366Z warnings.warn( 2025-12-04T11:43:17.9397096Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9397196Z warnings.warn( 2025-12-04T11:43:17.9398485Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9398531Z 2025-12-04T11:43:17.9398695Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9398702Z 2025-12-04T11:43:17.9398893Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9399187Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9399192Z 2025-12-04T11:43:17.9399750Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9399889Z _warn_once( 2025-12-04T11:43:17.9400109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9400223Z unimplemented [] 2025-12-04T11:43:17.9400409Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9400628Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9400878Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9400978Z graph_break [] 2025-12-04T11:43:17.9401193Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9402934Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9403036Z warnings.warn( 2025-12-04T11:43:17.9403781Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9403883Z warnings.warn( 2025-12-04T11:43:17.9404027Z =================================== FAILURES =================================== 2025-12-04T11:43:17.9404332Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_True __________ 2025-12-04T11:43:17.9404661Z Traceback (most recent call last): 2025-12-04T11:43:17.9405163Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9405288Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9405747Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9405926Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9406461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9406666Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9406812Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9406817Z 2025-12-04T11:43:17.9406924Z Expected 2 but got 0. 2025-12-04T11:43:17.9407044Z Absolute difference: 2 2025-12-04T11:43:17.9407155Z Relative difference: 1.0 2025-12-04T11:43:17.9407160Z 2025-12-04T11:43:17.9407458Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9408084Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9408090Z 2025-12-04T11:43:17.9408358Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9408593Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9408695Z unimplemented [] 2025-12-04T11:43:17.9408849Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9409083Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9409325Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9409422Z graph_break [] 2025-12-04T11:43:17.9409653Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9411518Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9411679Z warnings.warn( 2025-12-04T11:43:17.9412410Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9412509Z warnings.warn( 2025-12-04T11:43:17.9413805Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9413859Z 2025-12-04T11:43:17.9414022Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9414029Z 2025-12-04T11:43:17.9414221Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9414517Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9414523Z 2025-12-04T11:43:17.9415100Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9415198Z _warn_once( 2025-12-04T11:43:17.9415413Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9415527Z unimplemented [] 2025-12-04T11:43:17.9415683Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9415902Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9416154Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9416255Z graph_break [] 2025-12-04T11:43:17.9416469Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9418206Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9418309Z warnings.warn( 2025-12-04T11:43:17.9419053Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9419155Z warnings.warn( 2025-12-04T11:43:17.9419369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9419485Z unimplemented [] 2025-12-04T11:43:17.9419640Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9419983Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9420226Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9420324Z graph_break [] 2025-12-04T11:43:17.9420559Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9422281Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9422404Z warnings.warn( 2025-12-04T11:43:17.9423168Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9423271Z warnings.warn( 2025-12-04T11:43:17.9424060Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-096a4576d19655ed.xml - 2025-12-04T11:43:17.9424234Z =========================== short test summary info ============================ 2025-12-04T11:43:17.9424916Z FAILED [1.1619s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True - AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9424951Z 2025-12-04T11:43:17.9425059Z Expected 2 but got 0. 2025-12-04T11:43:17.9425166Z Absolute difference: 2 2025-12-04T11:43:17.9425291Z Relative difference: 1.0 2025-12-04T11:43:17.9425327Z 2025-12-04T11:43:17.9425545Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9426155Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9426174Z 2025-12-04T11:43:17.9426446Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9426626Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.9426842Z ================== 1 failed, 14 deselected, 2 rerun in 9.26s =================== 2025-12-04T11:43:17.9426946Z Got exit code 1 2025-12-04T11:43:17.9427056Z Retrying single test... 2025-12-04T11:43:17.9427670Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-7ef617e95cc5ae96.xml 2025-12-04T11:43:17.9427834Z ============================= test session starts ============================== 2025-12-04T11:43:17.9428202Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.9428316Z cachedir: .pytest_cache 2025-12-04T11:43:17.9428840Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.9428986Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.9429095Z configfile: pytest.ini 2025-12-04T11:43:17.9429688Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.9429918Z collecting ... collected 20 items / 19 deselected / 1 selected 2025-12-04T11:43:17.9430617Z stepcurrent: skipping 14 already run items. Running only test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9430745Z Running 1 items in this shard 2025-12-04T11:43:17.9430749Z 2025-12-04T11:43:17.9431516Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True W1204 11:41:58.771000 113230 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9432217Z W1204 11:41:58.771000 113230 site-packages/torch/_logging/_internal.py:1204] [0/0] Detected that context_fn is passed to torch.utils.checkpoint under torch.compile. 2025-12-04T11:43:17.9432923Z W1204 11:41:58.771000 113230 site-packages/torch/_logging/_internal.py:1204] [0/0] Please make sure the checkpointed region does not contain in-place ops (e.g. torch.relu_). 2025-12-04T11:43:17.9433205Z W1204 11:41:58.771000 113230 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9433750Z [W1204 11:42:01.618907070 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9433755Z 2025-12-04T11:43:17.9434275Z [W1204 11:42:17.353186741 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9434282Z 2025-12-04T11:43:17.9434811Z [W1204 11:42:17.362117417 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9434817Z 2025-12-04T11:43:17.9435364Z [W1204 11:42:17.362348383 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9435369Z 2025-12-04T11:43:17.9435880Z [W1204 11:42:17.362889454 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9435898Z 2025-12-04T11:43:17.9436440Z [W1204 11:42:17.363091442 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9436444Z 2025-12-04T11:43:17.9436955Z [W1204 11:42:17.363592179 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9437015Z 2025-12-04T11:43:17.9437543Z [W1204 11:42:17.363795526 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9437547Z 2025-12-04T11:43:17.9438064Z [W1204 11:42:17.364259129 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9438069Z 2025-12-04T11:43:17.9438596Z [W1204 11:42:17.364452893 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9438600Z 2025-12-04T11:43:17.9439111Z [W1204 11:42:17.364858411 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9439119Z 2025-12-04T11:43:17.9439643Z [W1204 11:42:17.365054302 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9439649Z 2025-12-04T11:43:17.9440156Z [W1204 11:42:17.365487577 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9440161Z 2025-12-04T11:43:17.9440686Z [W1204 11:42:17.365683381 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9440691Z 2025-12-04T11:43:17.9441198Z [W1204 11:42:17.366035217 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9441203Z 2025-12-04T11:43:17.9441709Z [W1204 11:42:17.366229125 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9441728Z 2025-12-04T11:43:17.9441860Z ('RERUN', {'yellow': True}) [22.6233s] [100%] 2025-12-04T11:43:17.9442868Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True [W1204 11:42:19.713011184 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9442876Z 2025-12-04T11:43:17.9443405Z [W1204 11:42:19.713258413 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9443410Z 2025-12-04T11:43:17.9443961Z [W1204 11:42:19.716068345 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9443966Z 2025-12-04T11:43:17.9444492Z [W1204 11:42:19.716287247 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9444499Z 2025-12-04T11:43:17.9445010Z [W1204 11:42:19.716717872 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9445014Z 2025-12-04T11:43:17.9445531Z [W1204 11:42:19.716916665 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9445538Z 2025-12-04T11:43:17.9446078Z [W1204 11:42:19.717373755 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9446083Z 2025-12-04T11:43:17.9446677Z [W1204 11:42:19.717572753 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9446732Z 2025-12-04T11:43:17.9447279Z [W1204 11:42:19.717974595 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9447314Z 2025-12-04T11:43:17.9447863Z [W1204 11:42:19.718169322 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9447868Z 2025-12-04T11:43:17.9458806Z [W1204 11:42:19.718568921 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9458933Z 2025-12-04T11:43:17.9459537Z [W1204 11:42:19.718781928 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9459547Z 2025-12-04T11:43:17.9460074Z [W1204 11:42:19.719212353 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9460092Z 2025-12-04T11:43:17.9460606Z [W1204 11:42:19.719409947 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9460615Z 2025-12-04T11:43:17.9461128Z [W1204 11:42:19.719753461 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9461133Z 2025-12-04T11:43:17.9461655Z [W1204 11:42:19.719945201 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9461662Z 2025-12-04T11:43:17.9461794Z ('RERUN', {'yellow': True}) [1.1405s] [100%] 2025-12-04T11:43:17.9462835Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True [W1204 11:42:21.851490254 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9462841Z 2025-12-04T11:43:17.9463353Z [W1204 11:42:21.851754150 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9463358Z 2025-12-04T11:43:17.9463884Z [W1204 11:42:21.854624483 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9463891Z 2025-12-04T11:43:17.9464403Z [W1204 11:42:21.854860316 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9464409Z 2025-12-04T11:43:17.9464933Z [W1204 11:42:21.855293909 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9464938Z 2025-12-04T11:43:17.9465454Z [W1204 11:42:21.855490210 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9465502Z 2025-12-04T11:43:17.9466015Z [W1204 11:42:21.855944707 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9466020Z 2025-12-04T11:43:17.9466544Z [W1204 11:42:21.856141692 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9466551Z 2025-12-04T11:43:17.9467060Z [W1204 11:42:21.856548224 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9467065Z 2025-12-04T11:43:17.9467590Z [W1204 11:42:21.856741169 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9467595Z 2025-12-04T11:43:17.9468143Z [W1204 11:42:21.857132883 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9468148Z 2025-12-04T11:43:17.9468672Z [W1204 11:42:21.857326913 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9468677Z 2025-12-04T11:43:17.9469190Z [W1204 11:42:21.857749565 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9469232Z 2025-12-04T11:43:17.9469756Z [W1204 11:42:21.857944872 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9469761Z 2025-12-04T11:43:17.9470270Z [W1204 11:42:21.858285002 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9470303Z 2025-12-04T11:43:17.9470815Z [W1204 11:42:21.858473547 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9470832Z 2025-12-04T11:43:17.9470936Z FAILED [1.1279s] [100%] 2025-12-04T11:43:17.9470941Z 2025-12-04T11:43:17.9471084Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.9471394Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_True __________ 2025-12-04T11:43:17.9471517Z Traceback (most recent call last): 2025-12-04T11:43:17.9472013Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9472150Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9472621Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9472810Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9473351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9473561Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9473709Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9473714Z 2025-12-04T11:43:17.9473822Z Expected 2 but got 0. 2025-12-04T11:43:17.9473928Z Absolute difference: 2 2025-12-04T11:43:17.9474052Z Relative difference: 1.0 2025-12-04T11:43:17.9474057Z 2025-12-04T11:43:17.9474273Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9474900Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9474905Z 2025-12-04T11:43:17.9475176Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9475401Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9475519Z unimplemented [] 2025-12-04T11:43:17.9475676Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9475911Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9476184Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9476287Z graph_break [] 2025-12-04T11:43:17.9476517Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9478242Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9478362Z warnings.warn( 2025-12-04T11:43:17.9479599Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9479721Z if out == self.unknown_value: 2025-12-04T11:43:17.9480464Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9483498Z warnings.warn( 2025-12-04T11:43:17.9484798Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9484865Z 2025-12-04T11:43:17.9485045Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9485051Z 2025-12-04T11:43:17.9485234Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9485547Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9485555Z 2025-12-04T11:43:17.9486122Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9486219Z _warn_once( 2025-12-04T11:43:17.9486532Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_True __________ 2025-12-04T11:43:17.9486692Z Traceback (most recent call last): 2025-12-04T11:43:17.9487182Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9487320Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9487784Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9487963Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9488502Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9488711Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9488863Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9488868Z 2025-12-04T11:43:17.9488978Z Expected 2 but got 0. 2025-12-04T11:43:17.9489088Z Absolute difference: 2 2025-12-04T11:43:17.9489212Z Relative difference: 1.0 2025-12-04T11:43:17.9489217Z 2025-12-04T11:43:17.9489436Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9490062Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9490068Z 2025-12-04T11:43:17.9490339Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9490564Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9490680Z unimplemented [] 2025-12-04T11:43:17.9490835Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9491180Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9491483Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9491584Z graph_break [] 2025-12-04T11:43:17.9491815Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9493538Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9493644Z warnings.warn( 2025-12-04T11:43:17.9494904Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9495022Z if out == self.unknown_value: 2025-12-04T11:43:17.9495771Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9495872Z warnings.warn( 2025-12-04T11:43:17.9497216Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9497268Z 2025-12-04T11:43:17.9497430Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9497435Z 2025-12-04T11:43:17.9497616Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9497928Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9497934Z 2025-12-04T11:43:17.9498503Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9498614Z _warn_once( 2025-12-04T11:43:17.9498833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9498935Z unimplemented [] 2025-12-04T11:43:17.9499109Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9499333Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9499574Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9499684Z graph_break [] 2025-12-04T11:43:17.9499899Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9501643Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9501744Z warnings.warn( 2025-12-04T11:43:17.9502474Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9502589Z warnings.warn( 2025-12-04T11:43:17.9502732Z =================================== FAILURES =================================== 2025-12-04T11:43:17.9503038Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_True __________ 2025-12-04T11:43:17.9503158Z Traceback (most recent call last): 2025-12-04T11:43:17.9503641Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9503784Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9504248Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9504441Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9505174Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9505379Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9505528Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9505533Z 2025-12-04T11:43:17.9505637Z Expected 2 but got 0. 2025-12-04T11:43:17.9505744Z Absolute difference: 2 2025-12-04T11:43:17.9505869Z Relative difference: 1.0 2025-12-04T11:43:17.9505874Z 2025-12-04T11:43:17.9506088Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9506696Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9506714Z 2025-12-04T11:43:17.9507063Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9507285Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9507400Z unimplemented [] 2025-12-04T11:43:17.9507554Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9507772Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9508135Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9508233Z graph_break [] 2025-12-04T11:43:17.9508450Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9510182Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9510283Z warnings.warn( 2025-12-04T11:43:17.9511511Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9511633Z if out == self.unknown_value: 2025-12-04T11:43:17.9512376Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9512477Z warnings.warn( 2025-12-04T11:43:17.9513751Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9513758Z 2025-12-04T11:43:17.9513933Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9513940Z 2025-12-04T11:43:17.9514120Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9514429Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9514434Z 2025-12-04T11:43:17.9514997Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9515094Z _warn_once( 2025-12-04T11:43:17.9515323Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9515426Z unimplemented [] 2025-12-04T11:43:17.9515593Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9515812Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9516051Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9516164Z graph_break [] 2025-12-04T11:43:17.9516417Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9518152Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9518270Z warnings.warn( 2025-12-04T11:43:17.9519001Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9519114Z warnings.warn( 2025-12-04T11:43:17.9519330Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9519432Z unimplemented [] 2025-12-04T11:43:17.9519632Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9519857Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9520114Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9520214Z graph_break [] 2025-12-04T11:43:17.9520431Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9522236Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9522337Z warnings.warn( 2025-12-04T11:43:17.9523076Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9523176Z warnings.warn( 2025-12-04T11:43:17.9523966Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-7ef617e95cc5ae96.xml - 2025-12-04T11:43:17.9524151Z =========================== short test summary info ============================ 2025-12-04T11:43:17.9524822Z FAILED [1.1279s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True - AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9524831Z 2025-12-04T11:43:17.9524949Z Expected 2 but got 0. 2025-12-04T11:43:17.9525057Z Absolute difference: 2 2025-12-04T11:43:17.9525166Z Relative difference: 1.0 2025-12-04T11:43:17.9525171Z 2025-12-04T11:43:17.9525399Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9526008Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9526014Z 2025-12-04T11:43:17.9526282Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9526473Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.9526670Z ================== 1 failed, 19 deselected, 2 rerun in 24.92s ================== 2025-12-04T11:43:17.9526785Z Got exit code 1 2025-12-04T11:43:17.9526891Z Retrying single test... 2025-12-04T11:43:17.9527488Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-c46ff0bbc48e5680.xml 2025-12-04T11:43:17.9527663Z ============================= test session starts ============================== 2025-12-04T11:43:17.9528011Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.9528119Z cachedir: .pytest_cache 2025-12-04T11:43:17.9528655Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.9528810Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.9528935Z configfile: pytest.ini 2025-12-04T11:43:17.9529526Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.9529742Z collecting ... collected 20 items / 19 deselected / 1 selected 2025-12-04T11:43:17.9530452Z stepcurrent: skipping 14 already run items. Running only test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9530566Z Running 1 items in this shard 2025-12-04T11:43:17.9530571Z 2025-12-04T11:43:17.9531457Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True W1204 11:42:35.026000 113441 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9532172Z W1204 11:42:35.026000 113441 site-packages/torch/_logging/_internal.py:1204] [0/0] Detected that context_fn is passed to torch.utils.checkpoint under torch.compile. 2025-12-04T11:43:17.9532868Z W1204 11:42:35.026000 113441 site-packages/torch/_logging/_internal.py:1204] [0/0] Please make sure the checkpointed region does not contain in-place ops (e.g. torch.relu_). 2025-12-04T11:43:17.9533159Z W1204 11:42:35.026000 113441 site-packages/torch/_logging/_internal.py:1204] [0/0] 2025-12-04T11:43:17.9533750Z [W1204 11:42:38.830761844 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9533755Z 2025-12-04T11:43:17.9534285Z [W1204 11:42:53.933878977 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9534291Z 2025-12-04T11:43:17.9534804Z [W1204 11:42:53.943025039 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9534809Z 2025-12-04T11:43:17.9535336Z [W1204 11:42:53.943275996 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9535341Z 2025-12-04T11:43:17.9535855Z [W1204 11:42:53.943827855 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9535862Z 2025-12-04T11:43:17.9536375Z [W1204 11:42:53.944038964 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9536391Z 2025-12-04T11:43:17.9536902Z [W1204 11:42:53.944553991 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9536907Z 2025-12-04T11:43:17.9537416Z [W1204 11:42:53.944758950 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9537421Z 2025-12-04T11:43:17.9537946Z [W1204 11:42:53.945238451 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9537951Z 2025-12-04T11:43:17.9538461Z [W1204 11:42:53.945437137 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9538466Z 2025-12-04T11:43:17.9538989Z [W1204 11:42:53.945854689 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9538996Z 2025-12-04T11:43:17.9539506Z [W1204 11:42:53.946059345 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9539511Z 2025-12-04T11:43:17.9540029Z [W1204 11:42:53.946507221 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9540034Z 2025-12-04T11:43:17.9540548Z [W1204 11:42:53.946727823 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9540581Z 2025-12-04T11:43:17.9541108Z [W1204 11:42:53.947093042 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9541113Z 2025-12-04T11:43:17.9541622Z [W1204 11:42:53.947289632 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9541630Z 2025-12-04T11:43:17.9541761Z ('RERUN', {'yellow': True}) [21.9434s] [100%] 2025-12-04T11:43:17.9542787Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True [W1204 11:42:55.315076997 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9542792Z 2025-12-04T11:43:17.9543339Z [W1204 11:42:55.315336470 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9543344Z 2025-12-04T11:43:17.9543872Z [W1204 11:42:55.318202137 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9543877Z 2025-12-04T11:43:17.9544388Z [W1204 11:42:55.318420104 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9544453Z 2025-12-04T11:43:17.9544977Z [W1204 11:42:55.318878008 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9544982Z 2025-12-04T11:43:17.9545494Z [W1204 11:42:55.319085163 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9545499Z 2025-12-04T11:43:17.9546027Z [W1204 11:42:55.319547514 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9546031Z 2025-12-04T11:43:17.9546543Z [W1204 11:42:55.319747519 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9546548Z 2025-12-04T11:43:17.9547055Z [W1204 11:42:55.320177567 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9547077Z 2025-12-04T11:43:17.9547586Z [W1204 11:42:55.320383290 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9547591Z 2025-12-04T11:43:17.9548107Z [W1204 11:42:55.320787071 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9548112Z 2025-12-04T11:43:17.9548631Z [W1204 11:42:55.320986940 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9548638Z 2025-12-04T11:43:17.9549153Z [W1204 11:42:55.321415995 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9549157Z 2025-12-04T11:43:17.9549685Z [W1204 11:42:55.321621885 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9549692Z 2025-12-04T11:43:17.9550207Z [W1204 11:42:55.321969904 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9550212Z 2025-12-04T11:43:17.9550733Z [W1204 11:42:55.322163144 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9550738Z 2025-12-04T11:43:17.9550868Z ('RERUN', {'yellow': True}) [1.1601s] [100%] 2025-12-04T11:43:17.9551926Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True [W1204 11:42:56.473847746 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9551945Z 2025-12-04T11:43:17.9552462Z [W1204 11:42:56.474116120 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9552467Z 2025-12-04T11:43:17.9552978Z [W1204 11:42:56.476994869 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9552985Z 2025-12-04T11:43:17.9553512Z [W1204 11:42:56.477217483 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9553516Z 2025-12-04T11:43:17.9554027Z [W1204 11:42:56.477650133 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9554032Z 2025-12-04T11:43:17.9554584Z [W1204 11:42:56.477850765 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9554591Z 2025-12-04T11:43:17.9555105Z [W1204 11:42:56.478310898 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9555110Z 2025-12-04T11:43:17.9555635Z [W1204 11:42:56.478511234 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9555700Z 2025-12-04T11:43:17.9556212Z [W1204 11:42:56.478938189 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9556217Z 2025-12-04T11:43:17.9556739Z [W1204 11:42:56.479135222 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9556744Z 2025-12-04T11:43:17.9557257Z [W1204 11:42:56.479536286 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9557261Z 2025-12-04T11:43:17.9557778Z [W1204 11:42:56.479734238 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9557795Z 2025-12-04T11:43:17.9558304Z [W1204 11:42:56.480187476 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9558313Z 2025-12-04T11:43:17.9558820Z [W1204 11:42:56.480394140 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9558825Z 2025-12-04T11:43:17.9559349Z [W1204 11:42:56.480743739 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9559354Z 2025-12-04T11:43:17.9559867Z [W1204 11:42:56.480935823 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T11:43:17.9559872Z 2025-12-04T11:43:17.9559991Z FAILED [1.1461s] [100%] 2025-12-04T11:43:17.9559995Z 2025-12-04T11:43:17.9560135Z ==================================== RERUNS ==================================== 2025-12-04T11:43:17.9560443Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_True __________ 2025-12-04T11:43:17.9560570Z Traceback (most recent call last): 2025-12-04T11:43:17.9561060Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9561200Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9561670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9561835Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9562388Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9562596Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9562773Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9562779Z 2025-12-04T11:43:17.9562886Z Expected 2 but got 0. 2025-12-04T11:43:17.9562993Z Absolute difference: 2 2025-12-04T11:43:17.9563116Z Relative difference: 1.0 2025-12-04T11:43:17.9563123Z 2025-12-04T11:43:17.9563340Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9563953Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9563971Z 2025-12-04T11:43:17.9564240Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9564460Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9564576Z unimplemented [] 2025-12-04T11:43:17.9564730Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9564979Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9565234Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9565336Z graph_break [] 2025-12-04T11:43:17.9565552Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9567323Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9567455Z warnings.warn( 2025-12-04T11:43:17.9568679Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9568797Z if out == self.unknown_value: 2025-12-04T11:43:17.9569540Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9569642Z warnings.warn( 2025-12-04T11:43:17.9570921Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9570929Z 2025-12-04T11:43:17.9571216Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9571223Z 2025-12-04T11:43:17.9571407Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9571722Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9571730Z 2025-12-04T11:43:17.9572293Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9572388Z _warn_once( 2025-12-04T11:43:17.9572698Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_True __________ 2025-12-04T11:43:17.9572822Z Traceback (most recent call last): 2025-12-04T11:43:17.9573323Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9573445Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9573906Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9574080Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9574620Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9574827Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9575018Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9575024Z 2025-12-04T11:43:17.9575128Z Expected 2 but got 0. 2025-12-04T11:43:17.9575246Z Absolute difference: 2 2025-12-04T11:43:17.9575351Z Relative difference: 1.0 2025-12-04T11:43:17.9575356Z 2025-12-04T11:43:17.9575596Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9576209Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9576214Z 2025-12-04T11:43:17.9576483Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9576716Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9576822Z unimplemented [] 2025-12-04T11:43:17.9576991Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9577243Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9577487Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9577599Z graph_break [] 2025-12-04T11:43:17.9577814Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9579546Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9579725Z warnings.warn( 2025-12-04T11:43:17.9580933Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9581064Z if out == self.unknown_value: 2025-12-04T11:43:17.9581794Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9581896Z warnings.warn( 2025-12-04T11:43:17.9583189Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9583199Z 2025-12-04T11:43:17.9583365Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9583370Z 2025-12-04T11:43:17.9583566Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9583865Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9583870Z 2025-12-04T11:43:17.9584448Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9584545Z _warn_once( 2025-12-04T11:43:17.9584762Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9584881Z unimplemented [] 2025-12-04T11:43:17.9585041Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9585263Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9585515Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9585615Z graph_break [] 2025-12-04T11:43:17.9585844Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9587597Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9587699Z warnings.warn( 2025-12-04T11:43:17.9588441Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9588549Z warnings.warn( 2025-12-04T11:43:17.9588709Z =================================== FAILURES =================================== 2025-12-04T11:43:17.9589001Z _________ RegionalInductorTests.test_selective_ac_flex_serialize_True __________ 2025-12-04T11:43:17.9589120Z Traceback (most recent call last): 2025-12-04T11:43:17.9589615Z File "/var/lib/jenkins/workspace/test/dynamo/test_regional_inductor.py", line 500, in test_selective_ac_flex 2025-12-04T11:43:17.9589736Z self.assertEqual(len(codes), 2) 2025-12-04T11:43:17.9590222Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 113, in assertEqual 2025-12-04T11:43:17.9590400Z return super().assertEqual(x, y, *args, **kwargs) 2025-12-04T11:43:17.9590939Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4284, in assertEqual 2025-12-04T11:43:17.9591158Z raise error_metas.pop()[0].to_error( # type: ignore[index] 2025-12-04T11:43:17.9591435Z AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9591441Z 2025-12-04T11:43:17.9591545Z Expected 2 but got 0. 2025-12-04T11:43:17.9591666Z Absolute difference: 2 2025-12-04T11:43:17.9591775Z Relative difference: 1.0 2025-12-04T11:43:17.9591780Z 2025-12-04T11:43:17.9591991Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9592611Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9592617Z 2025-12-04T11:43:17.9592887Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9593120Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9593220Z unimplemented [] 2025-12-04T11:43:17.9593377Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9593609Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9593851Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9593960Z graph_break [] 2025-12-04T11:43:17.9594176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9595895Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9596009Z warnings.warn( 2025-12-04T11:43:17.9597220Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T11:43:17.9597351Z if out == self.unknown_value: 2025-12-04T11:43:17.9598078Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9598179Z warnings.warn( 2025-12-04T11:43:17.9599467Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1624: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel. 2025-12-04T11:43:17.9599473Z 2025-12-04T11:43:17.9599632Z SOLUTION: Use torch.compile(flex_attention)(...) 2025-12-04T11:43:17.9599637Z 2025-12-04T11:43:17.9599862Z If you want to debug your score_mod/mask_mod, you can set: 2025-12-04T11:43:17.9600160Z torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True 2025-12-04T11:43:17.9600165Z 2025-12-04T11:43:17.9600728Z This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results. 2025-12-04T11:43:17.9600837Z _warn_once( 2025-12-04T11:43:17.9601055Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9601169Z unimplemented [] 2025-12-04T11:43:17.9601322Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9601544Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9601795Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9601890Z graph_break [] 2025-12-04T11:43:17.9602133Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9603870Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9604039Z warnings.warn( 2025-12-04T11:43:17.9605013Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9605115Z warnings.warn( 2025-12-04T11:43:17.9605332Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T11:43:17.9605446Z unimplemented [] 2025-12-04T11:43:17.9605604Z stats [('calls_captured', 6), ('unique_graphs', 1)] 2025-12-04T11:43:17.9605839Z aot_autograd [('total', 2), ('not_ok', 2), ('autograd_cache_miss', 1)] 2025-12-04T11:43:17.9606083Z inductor [('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4)] 2025-12-04T11:43:17.9606181Z graph_break [] 2025-12-04T11:43:17.9606409Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T11:43:17.9608131Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_activation_checkpointing/remat_using_tags_for_fwd_loss_bwd_graph_pass.py:75: UserWarning: remat_using_tags_for_fwd_loss_bwd_graph: Graph has recomputable ops but no backward region. This may indicate a forward-only graph (e.g., from nested compilation) or missing backward annotations. Returning graph unchanged. 2025-12-04T11:43:17.9608245Z warnings.warn( 2025-12-04T11:43:17.9608970Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T11:43:17.9609070Z warnings.warn( 2025-12-04T11:43:17.9609865Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-c46ff0bbc48e5680.xml - 2025-12-04T11:43:17.9610039Z =========================== short test summary info ============================ 2025-12-04T11:43:17.9610707Z FAILED [1.1461s] dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True - AssertionError: Scalars are not equal! 2025-12-04T11:43:17.9610727Z 2025-12-04T11:43:17.9610832Z Expected 2 but got 0. 2025-12-04T11:43:17.9610938Z Absolute difference: 2 2025-12-04T11:43:17.9611138Z Relative difference: 1.0 2025-12-04T11:43:17.9611145Z 2025-12-04T11:43:17.9611363Z To execute this test, run the following from the base repo dir: 2025-12-04T11:43:17.9611973Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/dynamo/test_regional_inductor.py RegionalInductorTests.test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9611981Z 2025-12-04T11:43:17.9612336Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T11:43:17.9612517Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T11:43:17.9612732Z ================== 1 failed, 19 deselected, 2 rerun in 24.28s ================== 2025-12-04T11:43:17.9612833Z Got exit code 1 2025-12-04T11:43:17.9613368Z FAILED CONSISTENTLY: test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True 2025-12-04T11:43:17.9613794Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T11:43:17.9614393Z Test results will be stored in test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-bd844014db593a0d.xml 2025-12-04T11:43:17.9614570Z ============================= test session starts ============================== 2025-12-04T11:43:17.9614963Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T11:43:17.9615075Z cachedir: .pytest_cache 2025-12-04T11:43:17.9615607Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T11:43:17.9615731Z rootdir: /var/lib/jenkins/workspace 2025-12-04T11:43:17.9615897Z configfile: pytest.ini 2025-12-04T11:43:17.9616540Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T11:43:17.9616755Z collecting ... collected 20 items / 15 deselected / 5 selected 2025-12-04T11:43:17.9616910Z stepcurrent: skipping 15 already run items. 2025-12-04T11:43:17.9617025Z Running 5 items in this shard 2025-12-04T11:43:17.9617030Z 2025-12-04T11:43:17.9617490Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_simple_serialize_False PASSED [6.1528s] [ 20%] 2025-12-04T11:43:17.9617952Z dynamo/test_regional_inductor.py::RegionalInductorTests::test_simple_serialize_True PASSED [1.6455s] [ 40%] 2025-12-04T11:43:17.9618473Z dynamo/test_regional_inductor.py::TestRegionalOutputCode::test_regional_compiled_forward_backward PASSED [0.0116s] [ 60%] 2025-12-04T11:43:17.9619002Z dynamo/test_regional_inductor.py::TestRegionalOutputCode::test_regional_output_code_serialization PASSED [0.0167s] [ 80%] 2025-12-04T11:43:17.9619512Z dynamo/test_regional_inductor.py::TestRegionalOutputCode::test_regional_output_code_with_backward PASSED [0.0143s] [100%] 2025-12-04T11:43:17.9619520Z 2025-12-04T11:43:17.9620298Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-bd844014db593a0d.xml - 2025-12-04T11:43:17.9620496Z ======================= 5 passed, 15 deselected in 7.87s ======================= 2025-12-04T11:43:17.9622659Z The following tests failed consistently: ['test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_False', 'test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_flex_attention_serialize_True', 'test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_False', 'test/dynamo/test_regional_inductor.py::RegionalInductorTests::test_selective_ac_flex_serialize_True'] 2025-12-04T11:43:17.9622665Z 2025-12-04T11:43:17.9623266Z FINISHED PRINTING LOG FILE of dynamo/test_regional_inductor 1/1 (test/test-reports/dynamo.test_regional_inductor_1.1_8bbbf73996532a9e_.log) 2025-12-04T11:43:17.9623273Z 2025-12-04T11:43:17.9623642Z Finished dynamo/test_regional_inductor 1/1 ... [2025-12-04 11:43:17.791800][7833.541338534], took 6.72min 2025-12-04T11:43:17.9624531Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-29905baf73b4163f.xml 2025-12-04T11:43:17.9625364Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-922dd90e88f9df2f.xml 2025-12-04T11:43:17.9626241Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-a8bdcffecd22a87e.xml 2025-12-04T11:43:17.9627068Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-8bf9e3c34fffdad8.xml 2025-12-04T11:43:17.9636464Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-bb2a52ad24e66bc2.xml 2025-12-04T11:43:17.9961159Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-99a3c12beb8b9b4c.xml 2025-12-04T11:43:18.0327986Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-0020320ae86b4228.xml 2025-12-04T11:43:18.0640327Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-09f96a91053e97b7.xml 2025-12-04T11:43:18.0948649Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-2f3d206cdd42e608.xml 2025-12-04T11:43:18.1273067Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-096a4576d19655ed.xml 2025-12-04T11:43:18.1584584Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-7ef617e95cc5ae96.xml 2025-12-04T11:43:18.1906153Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-c46ff0bbc48e5680.xml 2025-12-04T11:43:18.2222803Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_regional_inductor/dynamo.test_regional_inductor-bd844014db593a0d.xml 2025-12-04T11:43:18.5936955Z Uploading logs for 57119749297 to S3 2025-12-04T11:43:18.6946561Z Uploading artifacts took 0.44 seconds 2025-12-04T11:43:18.6947022Z dynamo/test_regional_inductor 1/1 failed! 2025-12-04T11:43:18.6952331Z Running inductor/test_op_dtype_prop 2/2 ... [2025-12-04 11:43:18.695061][7834.444603724] 2025-12-04T11:43:18.6952914Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T11:43:18.6958099Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 11:43:18.695576] 2025-12-04T12:21:59.4156030Z 2025-12-04T12:21:59.4157205Z PRINTING LOG FILE of inductor/test_op_dtype_prop 2/2 (test/test-reports/inductor.test_op_dtype_prop_2.2_3e40b5683d4cec18_.log) 2025-12-04T12:21:59.4159000Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-c8c470fd20490e96.xml 2025-12-04T12:21:59.4160353Z ============================= test session starts ============================== 2025-12-04T12:21:59.4161326Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.4162060Z cachedir: .pytest_cache 2025-12-04T12:21:59.4163132Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.4164303Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.4164874Z configfile: pytest.ini 2025-12-04T12:21:59.4166159Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.4167485Z collecting ... collected 571 items 2025-12-04T12:21:59.4168430Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T12:21:59.4355193Z Running 276 items in this shard: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_any_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_assoc_scan_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_binary_math_mixed_precision_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_codegen_upcast_to_fp32_upcast_to_fp32_False_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_codegen_upcast_to_fp32_upcast_to_fp32_True_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_constant_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_downcast_div_mod_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_abs_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cosh_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erfc_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erfinv_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isnan_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log2_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_rsqrt_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_rsqrt_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sin_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sinh_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_False_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tanh_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_float16_cuda, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_abs_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_acos_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_acos_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_acosh_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_acosh_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_add_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_add_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_angle_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_angle_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_angle_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asin_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asin_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asinh_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asinh_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asinh_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asinh_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atan_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atan_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atan_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atanh_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atanh_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atanh_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_left_shift_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_left_shift_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_not_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_or_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_or_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_xor_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_xor_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_ceil_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_ceil_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_max_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_max_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_min_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_min_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_min_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clone_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clone_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clone_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_copysign_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cos_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cos_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cos_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cosh_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cosh_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_digamma_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_digamma_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_digamma_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_div_no_rounding_mode_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_div_no_rounding_mode_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_div_no_rounding_mode_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_div_trunc_rounding_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_eq_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_eq_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_eq_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_eq_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erf_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erf_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erf_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erf_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erfc_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erfc_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erfc_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erfinv_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erfinv_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_exp2_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_exp2_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_exp2_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_exp_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_exp_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_expm1_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_expm1_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_expm1_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_expm1_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_expm1_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_gcd_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_ge_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_ge_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_gt_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_gt_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_hypot_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_i0_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_i0_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_i0_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_igamma_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_igammac_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_igammac_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_isinf_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_isinf_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_isnan_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_isnan_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_le_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_le_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_le_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_lgamma_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_lgamma_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log1p_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log1p_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log2_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log2_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_and_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_and_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_not_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_not_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_or_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_or_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_xor_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_xor_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_xor_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_logical_xor_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_lt_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_lt_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_lt_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_lt_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_max_binary_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_max_binary_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_max_binary_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_max_binary_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_maximum_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_maximum_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_maximum_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_min_binary_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_min_binary_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_minimum_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_minimum_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_mul_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_mul_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_mul_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_neg_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_neg_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_nextafter_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_0_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_0_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_1_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_2_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_2_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_2_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_3_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_4_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_4_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_4_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_4_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_pow_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_reciprocal_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_reciprocal_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_remainder_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_remainder_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_remainder_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_remainder_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_decimals_0_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_decimals_3_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_decimals_neg_3_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_rsqrt_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_rsqrt_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_rsqrt_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sigmoid_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sigmoid_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sign_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sign_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sign_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sign_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_signbit_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_signbit_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_signbit_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_signbit_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sin_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sin_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sin_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sinh_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sinh_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sinh_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sinh_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sqrt_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_square_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_square_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sub_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sub_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sub_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tan_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tan_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tan_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tanh_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tanh_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_trunc_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_bool, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_float32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_float64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_int32, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_int64, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_float16_cuda_float16, test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_True_float16_cuda_float16 2025-12-04T12:21:59.4492474Z 2025-12-04T12:21:59.4492832Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_any_cuda PASSED [3.3348s] [ 0%] 2025-12-04T12:21:59.4493637Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_assoc_scan_cuda PASSED [0.1133s] [ 0%] 2025-12-04T12:21:59.4494656Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_binary_math_mixed_precision_cuda PASSED [0.2236s] [ 1%] 2025-12-04T12:21:59.4495728Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_codegen_upcast_to_fp32_upcast_to_fp32_False_cuda PASSED [0.2634s] [ 1%] 2025-12-04T12:21:59.4496858Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_codegen_upcast_to_fp32_upcast_to_fp32_True_cuda PASSED [0.2478s] [ 1%] 2025-12-04T12:21:59.4497918Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_constant_cuda PASSED [0.1639s] [ 2%] 2025-12-04T12:21:59.4498753Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_downcast_div_mod_cuda PASSED [0.2056s] [ 2%] 2025-12-04T12:21:59.4499860Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_abs_load_upcast_to_fp32_False_float16_cuda PASSED [0.2270s] [ 2%] 2025-12-04T12:21:59.4501183Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_False_float16_cuda PASSED [0.3213s] [ 3%] 2025-12-04T12:21:59.4502602Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0968s] [ 3%] 2025-12-04T12:21:59.4504099Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2862s] [ 3%] 2025-12-04T12:21:59.4505658Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2761s] [ 3%] 2025-12-04T12:21:59.4506401Z 2025-12-04T12:21:59.4506547Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.4507204Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.4507838Z Traceback (most recent call last): 2025-12-04T12:21:59.4508550Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4509332Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4510153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4510930Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4511379Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4511705Z 2025-12-04T12:21:59.4511935Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4513016Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4513870Z 2025-12-04T12:21:59.4514137Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4514779Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4515264Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4515602Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4516095Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4516588Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4516930Z graph_break [] 2025-12-04T12:21:59.4517293Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4518407Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4519386Z warnings.warn( 2025-12-04T12:21:59.4519899Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.4520525Z Traceback (most recent call last): 2025-12-04T12:21:59.4521241Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4522014Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4522870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4523655Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4524102Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4524424Z 2025-12-04T12:21:59.4524702Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4525811Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4526679Z 2025-12-04T12:21:59.4526945Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4527579Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4528044Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4528385Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4528829Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4529324Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4529662Z graph_break [] 2025-12-04T12:21:59.4530040Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4531221Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4532190Z warnings.warn( 2025-12-04T12:21:59.4532576Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4533053Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4533390Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4533814Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4534299Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4534644Z graph_break [] 2025-12-04T12:21:59.4535006Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4536105Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4537079Z warnings.warn( 2025-12-04T12:21:59.4537382Z =================================== FAILURES =================================== 2025-12-04T12:21:59.4538050Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.4538685Z Traceback (most recent call last): 2025-12-04T12:21:59.4539402Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4540167Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4540992Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4541781Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4542232Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4542609Z 2025-12-04T12:21:59.4542831Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4543907Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4544768Z 2025-12-04T12:21:59.4545054Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4545698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4546170Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4546513Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4546956Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4547431Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4547776Z graph_break [] 2025-12-04T12:21:59.4548186Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4549272Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4550244Z warnings.warn( 2025-12-04T12:21:59.4550658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4551161Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4551483Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4551964Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4552450Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4552797Z graph_break [] 2025-12-04T12:21:59.4553171Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4554274Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4555244Z warnings.warn( 2025-12-04T12:21:59.4555629Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4556103Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4556430Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4556877Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4557373Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4557718Z graph_break [] 2025-12-04T12:21:59.4558085Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4559186Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4560166Z warnings.warn( 2025-12-04T12:21:59.4561084Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-c8c470fd20490e96.xml - 2025-12-04T12:21:59.4562154Z =========================== short test summary info ============================ 2025-12-04T12:21:59.4563313Z FAILED [0.2761s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4564269Z 2025-12-04T12:21:59.4564500Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4565555Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4566421Z 2025-12-04T12:21:59.4566691Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4567281Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.4567797Z ===================== 1 failed, 9 passed, 2 rerun in 7.50s ===================== 2025-12-04T12:21:59.4568221Z Got exit code 1 2025-12-04T12:21:59.4568529Z Retrying single test... 2025-12-04T12:21:59.4569293Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6fa8ec9d98386b13.xml 2025-12-04T12:21:59.4570178Z ============================= test session starts ============================== 2025-12-04T12:21:59.4570833Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.4571546Z cachedir: .pytest_cache 2025-12-04T12:21:59.4572266Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.4573042Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.4573393Z configfile: pytest.ini 2025-12-04T12:21:59.4574212Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.4575182Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.4576337Z stepcurrent: skipping 9 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4577422Z Running 1 items in this shard 2025-12-04T12:21:59.4577669Z 2025-12-04T12:21:59.4578359Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9191s] [100%] 2025-12-04T12:21:59.4579859Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2709s] [100%] 2025-12-04T12:21:59.4581249Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2628s] [100%] 2025-12-04T12:21:59.4581993Z 2025-12-04T12:21:59.4582141Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.4582791Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.4583419Z Traceback (most recent call last): 2025-12-04T12:21:59.4584119Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4584896Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4585715Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4586500Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4586935Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4587273Z 2025-12-04T12:21:59.4587488Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4588561Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4589414Z 2025-12-04T12:21:59.4589696Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4590314Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4590799Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4591141Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4591471Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4591933Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4592396Z graph_break [] 2025-12-04T12:21:59.4592758Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4593859Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4594840Z warnings.warn( 2025-12-04T12:21:59.4595418Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.4596033Z Traceback (most recent call last): 2025-12-04T12:21:59.4596749Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4597530Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4598335Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4599126Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4599578Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4599895Z 2025-12-04T12:21:59.4600124Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4601218Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4602085Z 2025-12-04T12:21:59.4602354Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4602984Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4603463Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4603818Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4604193Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4604971Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4605427Z graph_break [] 2025-12-04T12:21:59.4605805Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4606914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4607889Z warnings.warn( 2025-12-04T12:21:59.4608262Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4608738Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4609077Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4609501Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4609988Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4610338Z graph_break [] 2025-12-04T12:21:59.4610698Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4611897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4612870Z warnings.warn( 2025-12-04T12:21:59.4613180Z =================================== FAILURES =================================== 2025-12-04T12:21:59.4613826Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.4614457Z Traceback (most recent call last): 2025-12-04T12:21:59.4615176Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4615939Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4616759Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4617555Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4618003Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4618323Z 2025-12-04T12:21:59.4618536Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4619613Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4620478Z 2025-12-04T12:21:59.4620745Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4621490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4621963Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4622305Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4622647Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4623098Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4623572Z graph_break [] 2025-12-04T12:21:59.4623952Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4625059Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4626026Z warnings.warn( 2025-12-04T12:21:59.4626412Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4626897Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4627220Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4627713Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4628210Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4628539Z graph_break [] 2025-12-04T12:21:59.4628911Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4630011Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4631069Z warnings.warn( 2025-12-04T12:21:59.4631438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4631920Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4632254Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4632677Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4633159Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4633500Z graph_break [] 2025-12-04T12:21:59.4633867Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4634954Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4635926Z warnings.warn( 2025-12-04T12:21:59.4636858Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6fa8ec9d98386b13.xml - 2025-12-04T12:21:59.4637917Z =========================== short test summary info ============================ 2025-12-04T12:21:59.4639073Z FAILED [0.2628s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4640036Z 2025-12-04T12:21:59.4640252Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4641330Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4642183Z 2025-12-04T12:21:59.4642463Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4643043Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.4643581Z ================== 1 failed, 275 deselected, 2 rerun in 5.13s ================== 2025-12-04T12:21:59.4644027Z Got exit code 1 2025-12-04T12:21:59.4644285Z Retrying single test... 2025-12-04T12:21:59.4645057Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6a667cd8078ee9db.xml 2025-12-04T12:21:59.4645937Z ============================= test session starts ============================== 2025-12-04T12:21:59.4646600Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.4647189Z cachedir: .pytest_cache 2025-12-04T12:21:59.4647934Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.4648725Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.4649067Z configfile: pytest.ini 2025-12-04T12:21:59.4649839Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.4650806Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.4652063Z stepcurrent: skipping 9 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4653105Z Running 1 items in this shard 2025-12-04T12:21:59.4653331Z 2025-12-04T12:21:59.4654053Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9415s] [100%] 2025-12-04T12:21:59.4655560Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2615s] [100%] 2025-12-04T12:21:59.4656969Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2646s] [100%] 2025-12-04T12:21:59.4657758Z 2025-12-04T12:21:59.4657915Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.4658553Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.4659182Z Traceback (most recent call last): 2025-12-04T12:21:59.4659899Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4660657Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4661480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4662270Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4662713Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4663030Z 2025-12-04T12:21:59.4663244Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4664326Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4665181Z 2025-12-04T12:21:59.4665459Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4666087Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4666551Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4666888Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4667227Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4667678Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4668142Z graph_break [] 2025-12-04T12:21:59.4668514Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4669604Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4670582Z warnings.warn( 2025-12-04T12:21:59.4671108Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.4671737Z Traceback (most recent call last): 2025-12-04T12:21:59.4672436Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4673208Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4674028Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4674841Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4675279Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4675609Z 2025-12-04T12:21:59.4675824Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4676897Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4677753Z 2025-12-04T12:21:59.4678033Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4678651Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4679129Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4679468Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4679794Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4680291Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4680759Z graph_break [] 2025-12-04T12:21:59.4681117Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4682213Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4683276Z warnings.warn( 2025-12-04T12:21:59.4683656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4684119Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4684475Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4684916Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4685391Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4685739Z graph_break [] 2025-12-04T12:21:59.4686112Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4687214Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4688183Z warnings.warn( 2025-12-04T12:21:59.4688498Z =================================== FAILURES =================================== 2025-12-04T12:21:59.4689158Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.4689786Z Traceback (most recent call last): 2025-12-04T12:21:59.4690506Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4691373Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4692195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4692975Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4693432Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4693754Z 2025-12-04T12:21:59.4693992Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4695056Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4695923Z 2025-12-04T12:21:59.4696198Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4696837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4697317Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4697647Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4697992Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4698456Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4698904Z graph_break [] 2025-12-04T12:21:59.4699282Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4700433Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4701412Z warnings.warn( 2025-12-04T12:21:59.4701784Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4702269Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4702614Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4703044Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4703534Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4703882Z graph_break [] 2025-12-04T12:21:59.4704240Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4705538Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4706513Z warnings.warn( 2025-12-04T12:21:59.4706976Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4707439Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4707778Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4708211Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4708724Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4709113Z graph_break [] 2025-12-04T12:21:59.4709483Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4710582Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4711542Z warnings.warn( 2025-12-04T12:21:59.4712460Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6a667cd8078ee9db.xml - 2025-12-04T12:21:59.4713533Z =========================== short test summary info ============================ 2025-12-04T12:21:59.4714689Z FAILED [0.2646s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4715643Z 2025-12-04T12:21:59.4715860Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4716942Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4717811Z 2025-12-04T12:21:59.4718078Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4718670Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.4719181Z ================== 1 failed, 275 deselected, 2 rerun in 5.15s ================== 2025-12-04T12:21:59.4719631Z Got exit code 1 2025-12-04T12:21:59.4720431Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.4721621Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.4722749Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-a9672f1c7cc7e1be.xml 2025-12-04T12:21:59.4723640Z ============================= test session starts ============================== 2025-12-04T12:21:59.4724304Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.4724901Z cachedir: .pytest_cache 2025-12-04T12:21:59.4725616Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.4726402Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.4726763Z configfile: pytest.ini 2025-12-04T12:21:59.4727589Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.4728545Z collecting ... collected 571 items / 10 deselected / 561 selected 2025-12-04T12:21:59.4729057Z stepcurrent: skipping 10 already run items. 2025-12-04T12:21:59.4729435Z Running 266 items in this shard 2025-12-04T12:21:59.4729662Z 2025-12-04T12:21:59.4730352Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9451s] [ 0%] 2025-12-04T12:21:59.4731943Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2909s] [ 0%] 2025-12-04T12:21:59.4733423Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2872s] [ 0%] 2025-12-04T12:21:59.4734157Z 2025-12-04T12:21:59.4734315Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.4734959Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.4735587Z Traceback (most recent call last): 2025-12-04T12:21:59.4736341Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4737135Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4737953Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4738740Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4739186Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4739502Z 2025-12-04T12:21:59.4739714Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4740804Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4741675Z 2025-12-04T12:21:59.4741943Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4742577Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4743049Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4743386Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4743733Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4744187Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4744650Z graph_break [] 2025-12-04T12:21:59.4745023Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4746127Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4747091Z warnings.warn( 2025-12-04T12:21:59.4747624Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.4748259Z Traceback (most recent call last): 2025-12-04T12:21:59.4748960Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4749741Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4750559Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4751348Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4751784Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4752120Z 2025-12-04T12:21:59.4752333Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4753415Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4754321Z 2025-12-04T12:21:59.4754602Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4755222Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4755705Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4756048Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4756382Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4756847Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4757316Z graph_break [] 2025-12-04T12:21:59.4757686Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4758792Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4759768Z warnings.warn( 2025-12-04T12:21:59.4760185Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4760646Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4760991Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4761427Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4761897Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4762302Z graph_break [] 2025-12-04T12:21:59.4762670Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4763764Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4764724Z warnings.warn( 2025-12-04T12:21:59.4765030Z =================================== FAILURES =================================== 2025-12-04T12:21:59.4765685Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.4766311Z Traceback (most recent call last): 2025-12-04T12:21:59.4767026Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4767797Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4768615Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4769394Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4769832Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4770151Z 2025-12-04T12:21:59.4770385Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4771533Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4772404Z 2025-12-04T12:21:59.4772672Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4773306Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4773785Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4774110Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4774451Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4774913Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4775380Z graph_break [] 2025-12-04T12:21:59.4775740Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4776842Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4777815Z warnings.warn( 2025-12-04T12:21:59.4778183Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4778658Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4778995Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4779462Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4779950Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4780297Z graph_break [] 2025-12-04T12:21:59.4780672Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4781765Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4782743Z warnings.warn( 2025-12-04T12:21:59.4783125Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4783585Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4783920Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4784363Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4784851Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4785214Z graph_break [] 2025-12-04T12:21:59.4785592Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4786692Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4787657Z warnings.warn( 2025-12-04T12:21:59.4788639Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-a9672f1c7cc7e1be.xml - 2025-12-04T12:21:59.4789747Z =========================== short test summary info ============================ 2025-12-04T12:21:59.4790903Z FAILED [0.2872s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4791860Z 2025-12-04T12:21:59.4792076Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4793155Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4794024Z 2025-12-04T12:21:59.4794290Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4794880Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.4795395Z ================== 1 failed, 10 deselected, 2 rerun in 5.24s =================== 2025-12-04T12:21:59.4795840Z Got exit code 1 2025-12-04T12:21:59.4796107Z Retrying single test... 2025-12-04T12:21:59.4796857Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0c891033be6ab87c.xml 2025-12-04T12:21:59.4797739Z ============================= test session starts ============================== 2025-12-04T12:21:59.4798402Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.4799005Z cachedir: .pytest_cache 2025-12-04T12:21:59.4799709Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.4800493Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.4800846Z configfile: pytest.ini 2025-12-04T12:21:59.4801632Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.4802586Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.4803765Z stepcurrent: skipping 10 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4805052Z Running 1 items in this shard 2025-12-04T12:21:59.4805265Z 2025-12-04T12:21:59.4805970Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9605s] [100%] 2025-12-04T12:21:59.4807553Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2877s] [100%] 2025-12-04T12:21:59.4808973Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2881s] [100%] 2025-12-04T12:21:59.4809719Z 2025-12-04T12:21:59.4809862Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.4810515Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.4811212Z Traceback (most recent call last): 2025-12-04T12:21:59.4811929Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4812753Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4813571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4814358Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4814825Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4815149Z 2025-12-04T12:21:59.4815426Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4816531Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4817407Z 2025-12-04T12:21:59.4817676Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4818316Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4818799Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4819127Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4819474Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4819946Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4820402Z graph_break [] 2025-12-04T12:21:59.4820780Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4821893Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4822883Z warnings.warn( 2025-12-04T12:21:59.4823405Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.4824041Z Traceback (most recent call last): 2025-12-04T12:21:59.4824765Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4825532Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4826351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4827147Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4827595Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4827915Z 2025-12-04T12:21:59.4828131Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4829218Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4830090Z 2025-12-04T12:21:59.4830353Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4830987Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4831451Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4831790Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4832136Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4832589Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4833085Z graph_break [] 2025-12-04T12:21:59.4833456Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4834553Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4835519Z warnings.warn( 2025-12-04T12:21:59.4835898Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4836368Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4836688Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4837125Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4837614Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4837945Z graph_break [] 2025-12-04T12:21:59.4838312Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4839451Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4840426Z warnings.warn( 2025-12-04T12:21:59.4840725Z =================================== FAILURES =================================== 2025-12-04T12:21:59.4841444Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.4842108Z Traceback (most recent call last): 2025-12-04T12:21:59.4842809Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4843582Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4844394Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4845182Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4845617Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4845949Z 2025-12-04T12:21:59.4846165Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4847239Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4848100Z 2025-12-04T12:21:59.4848381Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4848998Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4849476Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4849812Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4850135Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4850596Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4851151Z graph_break [] 2025-12-04T12:21:59.4851536Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4852632Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4853613Z warnings.warn( 2025-12-04T12:21:59.4853998Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4854465Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4854798Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4855235Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4855712Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4856052Z graph_break [] 2025-12-04T12:21:59.4856421Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4857521Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4858475Z warnings.warn( 2025-12-04T12:21:59.4858904Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4859379Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4859699Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4860134Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4860622Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4860966Z graph_break [] 2025-12-04T12:21:59.4861326Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4862425Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4863392Z warnings.warn( 2025-12-04T12:21:59.4864298Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0c891033be6ab87c.xml - 2025-12-04T12:21:59.4865408Z =========================== short test summary info ============================ 2025-12-04T12:21:59.4866565Z FAILED [0.2881s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4867556Z 2025-12-04T12:21:59.4867785Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4868885Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4869749Z 2025-12-04T12:21:59.4870015Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4870608Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.4871142Z ================== 1 failed, 275 deselected, 2 rerun in 5.25s ================== 2025-12-04T12:21:59.4871575Z Got exit code 1 2025-12-04T12:21:59.4871844Z Retrying single test... 2025-12-04T12:21:59.4872612Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-011ac04d0aeae117.xml 2025-12-04T12:21:59.4873489Z ============================= test session starts ============================== 2025-12-04T12:21:59.4874140Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.4912368Z cachedir: .pytest_cache 2025-12-04T12:21:59.4913143Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.4913934Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.4914288Z configfile: pytest.ini 2025-12-04T12:21:59.4915068Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.4916029Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.4917226Z stepcurrent: skipping 10 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4918282Z Running 1 items in this shard 2025-12-04T12:21:59.4918501Z 2025-12-04T12:21:59.4919192Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9307s] [100%] 2025-12-04T12:21:59.4920696Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2737s] [100%] 2025-12-04T12:21:59.4922113Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2727s] [100%] 2025-12-04T12:21:59.4922849Z 2025-12-04T12:21:59.4922999Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.4923829Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.4924451Z Traceback (most recent call last): 2025-12-04T12:21:59.4925161Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4925935Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4926749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4927539Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4927983Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4928303Z 2025-12-04T12:21:59.4928535Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4929656Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4930528Z 2025-12-04T12:21:59.4930799Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4931539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4932083Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4932465Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4932797Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4933258Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4933716Z graph_break [] 2025-12-04T12:21:59.4934085Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4935182Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4936149Z warnings.warn( 2025-12-04T12:21:59.4936667Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.4937292Z Traceback (most recent call last): 2025-12-04T12:21:59.4937996Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4938753Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4939569Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4940350Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4940790Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4941110Z 2025-12-04T12:21:59.4941324Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4942395Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4943250Z 2025-12-04T12:21:59.4943518Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4944145Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4944606Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4944941Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4945280Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4945731Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4946184Z graph_break [] 2025-12-04T12:21:59.4946558Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4947656Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4948622Z warnings.warn( 2025-12-04T12:21:59.4949005Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4949477Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4949838Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4950275Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4950753Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4951080Z graph_break [] 2025-12-04T12:21:59.4951450Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4952546Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4953519Z warnings.warn( 2025-12-04T12:21:59.4953814Z =================================== FAILURES =================================== 2025-12-04T12:21:59.4954466Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.4955089Z Traceback (most recent call last): 2025-12-04T12:21:59.4955822Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.4956583Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.4957395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.4958217Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.4958678Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4959007Z 2025-12-04T12:21:59.4959224Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4960295Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4961150Z 2025-12-04T12:21:59.4961424Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4962038Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4962509Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4962839Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4963164Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4963619Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4964078Z graph_break [] 2025-12-04T12:21:59.4964448Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4965532Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4966508Z warnings.warn( 2025-12-04T12:21:59.4966891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4967346Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4967677Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4968114Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4968587Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4968927Z graph_break [] 2025-12-04T12:21:59.4969299Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4970386Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4971446Z warnings.warn( 2025-12-04T12:21:59.4971827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.4972298Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.4972616Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.4973049Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.4973529Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.4973867Z graph_break [] 2025-12-04T12:21:59.4974226Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.4975368Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.4976348Z warnings.warn( 2025-12-04T12:21:59.4977262Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-011ac04d0aeae117.xml - 2025-12-04T12:21:59.4978337Z =========================== short test summary info ============================ 2025-12-04T12:21:59.4979492Z FAILED [0.2727s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.4980450Z 2025-12-04T12:21:59.4980685Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.4981780Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4982645Z 2025-12-04T12:21:59.4982910Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.4983503Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.4984065Z ================== 1 failed, 275 deselected, 2 rerun in 5.16s ================== 2025-12-04T12:21:59.4984538Z Got exit code 1 2025-12-04T12:21:59.4985338Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.4986524Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.4987657Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-520d9aea328ae3e4.xml 2025-12-04T12:21:59.4988525Z ============================= test session starts ============================== 2025-12-04T12:21:59.4989190Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.4989799Z cachedir: .pytest_cache 2025-12-04T12:21:59.4990507Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.4991276Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.4991628Z configfile: pytest.ini 2025-12-04T12:21:59.4992400Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.4993337Z collecting ... collected 571 items / 11 deselected / 560 selected 2025-12-04T12:21:59.4993836Z stepcurrent: skipping 11 already run items. 2025-12-04T12:21:59.4994221Z Running 265 items in this shard 2025-12-04T12:21:59.4994429Z 2025-12-04T12:21:59.4995128Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9226s] [ 0%] 2025-12-04T12:21:59.4996607Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2655s] [ 0%] 2025-12-04T12:21:59.4998010Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2653s] [ 0%] 2025-12-04T12:21:59.4998742Z 2025-12-04T12:21:59.4998884Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.4999530Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5000140Z Traceback (most recent call last): 2025-12-04T12:21:59.5000849Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5001618Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5002461Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5003234Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5003677Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5003994Z 2025-12-04T12:21:59.5004219Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5005479Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5006349Z 2025-12-04T12:21:59.5006618Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5007242Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5007716Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5008111Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5008449Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5008908Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5009358Z graph_break [] 2025-12-04T12:21:59.5009733Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5010911Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5012017Z warnings.warn( 2025-12-04T12:21:59.5012529Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5013160Z Traceback (most recent call last): 2025-12-04T12:21:59.5013872Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5014631Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5015448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5016228Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5016666Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5016987Z 2025-12-04T12:21:59.5017203Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5018269Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5019124Z 2025-12-04T12:21:59.5019384Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5020017Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5020476Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5020807Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5021145Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5021588Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5022047Z graph_break [] 2025-12-04T12:21:59.5022420Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5023509Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5024470Z warnings.warn( 2025-12-04T12:21:59.5024852Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5025325Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5025645Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5026077Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5026554Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5026873Z graph_break [] 2025-12-04T12:21:59.5027245Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5028396Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5029366Z warnings.warn( 2025-12-04T12:21:59.5029664Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5030320Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5030939Z Traceback (most recent call last): 2025-12-04T12:21:59.5031639Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5032408Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5033221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5034004Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5034466Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5034800Z 2025-12-04T12:21:59.5035015Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5036081Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5036995Z 2025-12-04T12:21:59.5037270Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5037882Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5038350Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5038682Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5039001Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5039460Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5039917Z graph_break [] 2025-12-04T12:21:59.5040306Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5041396Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5042493Z warnings.warn( 2025-12-04T12:21:59.5042883Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5043351Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5043689Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5044130Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5044624Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5044955Z graph_break [] 2025-12-04T12:21:59.5045333Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5046437Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5047397Z warnings.warn( 2025-12-04T12:21:59.5047790Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5048264Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5048587Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5049024Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5049520Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5049866Z graph_break [] 2025-12-04T12:21:59.5050224Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5051400Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5052372Z warnings.warn( 2025-12-04T12:21:59.5053284Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-520d9aea328ae3e4.xml - 2025-12-04T12:21:59.5054416Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5055567Z FAILED [0.2653s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5056514Z 2025-12-04T12:21:59.5056744Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5057812Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5058660Z 2025-12-04T12:21:59.5058925Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5059514Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5060076Z ================== 1 failed, 11 deselected, 2 rerun in 5.15s =================== 2025-12-04T12:21:59.5060510Z Got exit code 1 2025-12-04T12:21:59.5060791Z Retrying single test... 2025-12-04T12:21:59.5061556Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6513aef89c920bd9.xml 2025-12-04T12:21:59.5062437Z ============================= test session starts ============================== 2025-12-04T12:21:59.5063152Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5063757Z cachedir: .pytest_cache 2025-12-04T12:21:59.5064470Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5065245Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5065598Z configfile: pytest.ini 2025-12-04T12:21:59.5066379Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5067338Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5068485Z stepcurrent: skipping 11 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5069533Z Running 1 items in this shard 2025-12-04T12:21:59.5069754Z 2025-12-04T12:21:59.5070431Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9557s] [100%] 2025-12-04T12:21:59.5071921Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2875s] [100%] 2025-12-04T12:21:59.5073309Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2915s] [100%] 2025-12-04T12:21:59.5074042Z 2025-12-04T12:21:59.5074184Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5074833Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5075464Z Traceback (most recent call last): 2025-12-04T12:21:59.5076168Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5076950Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5077776Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5078556Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5078987Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5079322Z 2025-12-04T12:21:59.5079535Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5080652Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5081505Z 2025-12-04T12:21:59.5081783Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5082398Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5082872Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5083209Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5083540Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5083998Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5084461Z graph_break [] 2025-12-04T12:21:59.5084822Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5085925Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5086936Z warnings.warn( 2025-12-04T12:21:59.5087461Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5088074Z Traceback (most recent call last): 2025-12-04T12:21:59.5088793Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5089601Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5090443Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5091337Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5091781Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5092100Z 2025-12-04T12:21:59.5092326Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5093388Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5094248Z 2025-12-04T12:21:59.5094514Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5095139Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5095613Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5095939Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5096277Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5096736Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5097184Z graph_break [] 2025-12-04T12:21:59.5097556Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5098662Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5099635Z warnings.warn( 2025-12-04T12:21:59.5100006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5100485Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5100818Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5101239Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5101727Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5102072Z graph_break [] 2025-12-04T12:21:59.5102433Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5103537Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5104704Z warnings.warn( 2025-12-04T12:21:59.5105040Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5105689Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5106323Z Traceback (most recent call last): 2025-12-04T12:21:59.5107142Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5107929Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5108733Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5109529Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5109979Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5110298Z 2025-12-04T12:21:59.5110513Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5111597Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5112459Z 2025-12-04T12:21:59.5112726Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5113441Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5113911Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5114253Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5114595Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5115048Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5115560Z graph_break [] 2025-12-04T12:21:59.5115981Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5117080Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5118042Z warnings.warn( 2025-12-04T12:21:59.5118425Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5118907Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5119232Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5119668Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5120158Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5120497Z graph_break [] 2025-12-04T12:21:59.5120852Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5121951Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5122930Z warnings.warn( 2025-12-04T12:21:59.5123299Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5123771Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5124103Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5124539Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5125010Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5125353Z graph_break [] 2025-12-04T12:21:59.5125726Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5126809Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5127779Z warnings.warn( 2025-12-04T12:21:59.5128699Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6513aef89c920bd9.xml - 2025-12-04T12:21:59.5129773Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5130904Z FAILED [0.2915s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5131968Z 2025-12-04T12:21:59.5132187Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5133314Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5134164Z 2025-12-04T12:21:59.5134443Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5135020Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5135548Z ================== 1 failed, 275 deselected, 2 rerun in 5.27s ================== 2025-12-04T12:21:59.5136000Z Got exit code 1 2025-12-04T12:21:59.5136263Z Retrying single test... 2025-12-04T12:21:59.5137035Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-de309e72bcc356d7.xml 2025-12-04T12:21:59.5137915Z ============================= test session starts ============================== 2025-12-04T12:21:59.5138590Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5139222Z cachedir: .pytest_cache 2025-12-04T12:21:59.5139942Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5140729Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5141073Z configfile: pytest.ini 2025-12-04T12:21:59.5141848Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5142997Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5144162Z stepcurrent: skipping 11 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5145202Z Running 1 items in this shard 2025-12-04T12:21:59.5145427Z 2025-12-04T12:21:59.5146115Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9513s] [100%] 2025-12-04T12:21:59.5147610Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2871s] [100%] 2025-12-04T12:21:59.5149009Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2850s] [100%] 2025-12-04T12:21:59.5149740Z 2025-12-04T12:21:59.5149900Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5150536Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5151162Z Traceback (most recent call last): 2025-12-04T12:21:59.5151876Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5152634Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5153458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5154250Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5154700Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5155018Z 2025-12-04T12:21:59.5155233Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5156299Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5157164Z 2025-12-04T12:21:59.5157427Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5158057Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5158521Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5158857Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5159194Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5159646Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5160160Z graph_break [] 2025-12-04T12:21:59.5160534Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5161643Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5162618Z warnings.warn( 2025-12-04T12:21:59.5163145Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5163778Z Traceback (most recent call last): 2025-12-04T12:21:59.5164485Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5165259Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5166106Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5166892Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5167330Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5167660Z 2025-12-04T12:21:59.5167874Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5168945Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5169863Z 2025-12-04T12:21:59.5170143Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5170757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5171322Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5171672Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5171997Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5172458Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5172920Z graph_break [] 2025-12-04T12:21:59.5173282Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5174385Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5175364Z warnings.warn( 2025-12-04T12:21:59.5175743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5176204Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5176545Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5176979Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5177450Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5177792Z graph_break [] 2025-12-04T12:21:59.5178168Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5179270Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5180226Z warnings.warn( 2025-12-04T12:21:59.5180543Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5181189Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5181808Z Traceback (most recent call last): 2025-12-04T12:21:59.5182519Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5183289Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5184098Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5184864Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5185305Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5185628Z 2025-12-04T12:21:59.5185847Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5186963Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5187815Z 2025-12-04T12:21:59.5188078Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5188719Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5189189Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5189511Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5189849Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5190307Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5190765Z graph_break [] 2025-12-04T12:21:59.5191121Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5192255Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5193226Z warnings.warn( 2025-12-04T12:21:59.5193592Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5194058Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5194422Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5194880Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5195360Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5195694Z graph_break [] 2025-12-04T12:21:59.5196059Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5197136Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5198109Z warnings.warn( 2025-12-04T12:21:59.5198490Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5198949Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5199282Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5199715Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5200200Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5200528Z graph_break [] 2025-12-04T12:21:59.5200898Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5201986Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5202944Z warnings.warn( 2025-12-04T12:21:59.5203861Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-de309e72bcc356d7.xml - 2025-12-04T12:21:59.5205134Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5206293Z FAILED [0.2850s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5207247Z 2025-12-04T12:21:59.5207467Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5208541Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5209400Z 2025-12-04T12:21:59.5209664Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5210255Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5210771Z ================== 1 failed, 275 deselected, 2 rerun in 5.23s ================== 2025-12-04T12:21:59.5211303Z Got exit code 1 2025-12-04T12:21:59.5212223Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5213409Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.5214531Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-b97e674e2a76cd07.xml 2025-12-04T12:21:59.5215421Z ============================= test session starts ============================== 2025-12-04T12:21:59.5216087Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5216697Z cachedir: .pytest_cache 2025-12-04T12:21:59.5217397Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5218185Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5218541Z configfile: pytest.ini 2025-12-04T12:21:59.5219361Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5220318Z collecting ... collected 571 items / 12 deselected / 559 selected 2025-12-04T12:21:59.5220831Z stepcurrent: skipping 12 already run items. 2025-12-04T12:21:59.5221276Z Running 264 items in this shard 2025-12-04T12:21:59.5221532Z 2025-12-04T12:21:59.5222221Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9221s] [ 0%] 2025-12-04T12:21:59.5223732Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2779s] [ 0%] 2025-12-04T12:21:59.5225144Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2643s] [ 0%] 2025-12-04T12:21:59.5225875Z 2025-12-04T12:21:59.5226034Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5226675Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5227310Z Traceback (most recent call last): 2025-12-04T12:21:59.5228028Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5228804Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5229601Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5230386Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5230829Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5230835Z 2025-12-04T12:21:59.5231047Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5231768Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5231788Z 2025-12-04T12:21:59.5232053Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5232272Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5232401Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5232514Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5232636Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5232871Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5232970Z graph_break [] 2025-12-04T12:21:59.5233186Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5233934Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5234037Z warnings.warn( 2025-12-04T12:21:59.5234451Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5234575Z Traceback (most recent call last): 2025-12-04T12:21:59.5235049Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5235219Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5235741Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5235880Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5236071Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5236076Z 2025-12-04T12:21:59.5236290Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5237062Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5237067Z 2025-12-04T12:21:59.5237338Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5237572Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5237686Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5237836Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5238001Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5238226Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5238325Z graph_break [] 2025-12-04T12:21:59.5238556Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5239288Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5239405Z warnings.warn( 2025-12-04T12:21:59.5239625Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5239741Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5239874Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5240095Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5240217Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5240335Z graph_break [] 2025-12-04T12:21:59.5240554Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5241285Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5241401Z warnings.warn( 2025-12-04T12:21:59.5241546Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5241922Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5242049Z Traceback (most recent call last): 2025-12-04T12:21:59.5242524Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5242690Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5243204Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5243330Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5243535Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5243540Z 2025-12-04T12:21:59.5243752Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5244487Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5244493Z 2025-12-04T12:21:59.5244758Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5245008Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5245134Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5245249Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5245383Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5245602Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5245702Z graph_break [] 2025-12-04T12:21:59.5245928Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5246657Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5246756Z warnings.warn( 2025-12-04T12:21:59.5246984Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5247092Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5247216Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5247468Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5247592Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5247699Z graph_break [] 2025-12-04T12:21:59.5247914Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5248640Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5248819Z warnings.warn( 2025-12-04T12:21:59.5249030Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5249153Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5249268Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5249489Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5249621Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5249721Z graph_break [] 2025-12-04T12:21:59.5249935Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5250676Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5250776Z warnings.warn( 2025-12-04T12:21:59.5251631Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-b97e674e2a76cd07.xml - 2025-12-04T12:21:59.5251806Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5252636Z FAILED [0.2643s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5252643Z 2025-12-04T12:21:59.5252870Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5253593Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5253599Z 2025-12-04T12:21:59.5253883Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5254061Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5254263Z ================== 1 failed, 12 deselected, 2 rerun in 5.15s =================== 2025-12-04T12:21:59.5254374Z Got exit code 1 2025-12-04T12:21:59.5254483Z Retrying single test... 2025-12-04T12:21:59.5255057Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-05d8754ce3782975.xml 2025-12-04T12:21:59.5255232Z ============================= test session starts ============================== 2025-12-04T12:21:59.5255580Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5255705Z cachedir: .pytest_cache 2025-12-04T12:21:59.5256262Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5256389Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5256510Z configfile: pytest.ini 2025-12-04T12:21:59.5257104Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5257350Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5258153Z stepcurrent: skipping 12 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5258268Z Running 1 items in this shard 2025-12-04T12:21:59.5258273Z 2025-12-04T12:21:59.5258998Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9137s] [100%] 2025-12-04T12:21:59.5259682Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2630s] [100%] 2025-12-04T12:21:59.5260289Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2662s] [100%] 2025-12-04T12:21:59.5260398Z 2025-12-04T12:21:59.5260541Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5260902Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5261039Z Traceback (most recent call last): 2025-12-04T12:21:59.5261516Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5261690Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5262216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5262342Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5262550Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5262555Z 2025-12-04T12:21:59.5262770Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5263495Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5263514Z 2025-12-04T12:21:59.5263782Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5264000Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5264129Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5264246Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5264370Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5264610Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5264709Z graph_break [] 2025-12-04T12:21:59.5264923Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5265668Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5265773Z warnings.warn( 2025-12-04T12:21:59.5266146Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5266270Z Traceback (most recent call last): 2025-12-04T12:21:59.5266740Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5266909Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5267428Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5267596Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5267788Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5267793Z 2025-12-04T12:21:59.5268007Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5268745Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5268753Z 2025-12-04T12:21:59.5269018Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5269246Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5269355Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5269468Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5269601Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5269849Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5269946Z graph_break [] 2025-12-04T12:21:59.5270177Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5270912Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5271085Z warnings.warn( 2025-12-04T12:21:59.5271299Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5271407Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5271531Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5271751Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5271871Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5271978Z graph_break [] 2025-12-04T12:21:59.5272193Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5272928Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5273040Z warnings.warn( 2025-12-04T12:21:59.5273188Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5273560Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5273685Z Traceback (most recent call last): 2025-12-04T12:21:59.5274163Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5274326Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5274840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5274974Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5275167Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5275172Z 2025-12-04T12:21:59.5275388Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5276119Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5276127Z 2025-12-04T12:21:59.5276393Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5276622Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5276733Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5276849Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5276982Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5277202Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5277300Z graph_break [] 2025-12-04T12:21:59.5277525Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5278290Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5278392Z warnings.warn( 2025-12-04T12:21:59.5278619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5278733Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5278862Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5279079Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5279198Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5279310Z graph_break [] 2025-12-04T12:21:59.5279529Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5280256Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5280397Z warnings.warn( 2025-12-04T12:21:59.5280615Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5280740Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5280853Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5281076Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5281238Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5281365Z graph_break [] 2025-12-04T12:21:59.5281577Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5282320Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5282419Z warnings.warn( 2025-12-04T12:21:59.5283180Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-05d8754ce3782975.xml - 2025-12-04T12:21:59.5283355Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5284185Z FAILED [0.2662s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5284191Z 2025-12-04T12:21:59.5284419Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5285143Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5285149Z 2025-12-04T12:21:59.5285425Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5285602Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5285801Z ================== 1 failed, 275 deselected, 2 rerun in 5.13s ================== 2025-12-04T12:21:59.5285915Z Got exit code 1 2025-12-04T12:21:59.5286023Z Retrying single test... 2025-12-04T12:21:59.5286608Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-1f0f19014aa29d38.xml 2025-12-04T12:21:59.5286788Z ============================= test session starts ============================== 2025-12-04T12:21:59.5287145Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5287270Z cachedir: .pytest_cache 2025-12-04T12:21:59.5287795Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5287920Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5288043Z configfile: pytest.ini 2025-12-04T12:21:59.5288639Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5288882Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5289722Z stepcurrent: skipping 12 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5289841Z Running 1 items in this shard 2025-12-04T12:21:59.5289846Z 2025-12-04T12:21:59.5290547Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9387s] [100%] 2025-12-04T12:21:59.5291329Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.3017s] [100%] 2025-12-04T12:21:59.5291940Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.3109s] [100%] 2025-12-04T12:21:59.5291945Z 2025-12-04T12:21:59.5292122Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5292493Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5292631Z Traceback (most recent call last): 2025-12-04T12:21:59.5293112Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5293316Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5293868Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5293989Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5294196Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5294201Z 2025-12-04T12:21:59.5294416Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5295157Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5295163Z 2025-12-04T12:21:59.5295438Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5295659Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5295787Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5295904Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5296031Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5296270Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5296372Z graph_break [] 2025-12-04T12:21:59.5296600Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5297334Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5297437Z warnings.warn( 2025-12-04T12:21:59.5297816Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5297944Z Traceback (most recent call last): 2025-12-04T12:21:59.5298422Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5298588Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5299110Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5299244Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5299434Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5299439Z 2025-12-04T12:21:59.5299652Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5300380Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5300387Z 2025-12-04T12:21:59.5300691Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5300921Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5301032Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5301145Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5301284Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5301504Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5301601Z graph_break [] 2025-12-04T12:21:59.5301825Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5302560Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5302672Z warnings.warn( 2025-12-04T12:21:59.5302887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5303031Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5303160Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5303379Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5303501Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5303611Z graph_break [] 2025-12-04T12:21:59.5303824Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5304821Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5304936Z warnings.warn( 2025-12-04T12:21:59.5305079Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5305456Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5305577Z Traceback (most recent call last): 2025-12-04T12:21:59.5306053Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5306223Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5306743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5306881Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5307076Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5307081Z 2025-12-04T12:21:59.5307300Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5308036Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5308042Z 2025-12-04T12:21:59.5308308Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5308538Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5308650Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5308767Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5308901Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5309121Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5309217Z graph_break [] 2025-12-04T12:21:59.5309445Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5310180Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5310280Z warnings.warn( 2025-12-04T12:21:59.5310508Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5310618Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5310743Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5310967Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5311087Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5311271Z graph_break [] 2025-12-04T12:21:59.5311487Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5312219Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5312340Z warnings.warn( 2025-12-04T12:21:59.5312556Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5312684Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5312803Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5313024Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5313162Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5313260Z graph_break [] 2025-12-04T12:21:59.5313520Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5314271Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5314372Z warnings.warn( 2025-12-04T12:21:59.5315139Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-1f0f19014aa29d38.xml - 2025-12-04T12:21:59.5315392Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5316225Z FAILED [0.3109s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5316231Z 2025-12-04T12:21:59.5316461Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5317185Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5317193Z 2025-12-04T12:21:59.5317478Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5317658Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5317856Z ================== 1 failed, 275 deselected, 2 rerun in 5.25s ================== 2025-12-04T12:21:59.5317976Z Got exit code 1 2025-12-04T12:21:59.5318618Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5319047Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.5319619Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6d9b977814304ae8.xml 2025-12-04T12:21:59.5319784Z ============================= test session starts ============================== 2025-12-04T12:21:59.5320148Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5320257Z cachedir: .pytest_cache 2025-12-04T12:21:59.5320775Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5320915Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5321023Z configfile: pytest.ini 2025-12-04T12:21:59.5321621Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5321841Z collecting ... collected 571 items / 13 deselected / 558 selected 2025-12-04T12:21:59.5321981Z stepcurrent: skipping 13 already run items. 2025-12-04T12:21:59.5322108Z Running 263 items in this shard 2025-12-04T12:21:59.5322113Z 2025-12-04T12:21:59.5322845Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9510s] [ 0%] 2025-12-04T12:21:59.5323545Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2871s] [ 0%] 2025-12-04T12:21:59.5324139Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2854s] [ 0%] 2025-12-04T12:21:59.5324149Z 2025-12-04T12:21:59.5324288Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5324666Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5324790Z Traceback (most recent call last): 2025-12-04T12:21:59.5325281Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5325471Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5325993Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5326128Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5326320Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5326355Z 2025-12-04T12:21:59.5326585Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5327341Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5327347Z 2025-12-04T12:21:59.5327617Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5327847Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5327961Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5328078Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5328219Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5328443Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5328555Z graph_break [] 2025-12-04T12:21:59.5328771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5329509Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5329631Z warnings.warn( 2025-12-04T12:21:59.5330003Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5330126Z Traceback (most recent call last): 2025-12-04T12:21:59.5330618Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5330774Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5331399Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5331538Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5331733Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5331738Z 2025-12-04T12:21:59.5331968Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5332696Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5332702Z 2025-12-04T12:21:59.5332988Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5333209Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5333328Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5333458Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5333579Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5333802Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5333955Z graph_break [] 2025-12-04T12:21:59.5334173Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5334920Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5335025Z warnings.warn( 2025-12-04T12:21:59.5335238Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5335365Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5335477Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5335698Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5335837Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5335933Z graph_break [] 2025-12-04T12:21:59.5336177Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5336921Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5337021Z warnings.warn( 2025-12-04T12:21:59.5337175Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5337576Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5337729Z Traceback (most recent call last): 2025-12-04T12:21:59.5338213Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5338369Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5338901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5339026Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5339221Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5339226Z 2025-12-04T12:21:59.5339453Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5340176Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5340185Z 2025-12-04T12:21:59.5340463Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5340678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5340792Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5340921Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5341044Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5341265Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5341376Z graph_break [] 2025-12-04T12:21:59.5341594Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5342340Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5342442Z warnings.warn( 2025-12-04T12:21:59.5342657Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5342787Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5342902Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5343122Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5343261Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5343359Z graph_break [] 2025-12-04T12:21:59.5343574Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5344320Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5344423Z warnings.warn( 2025-12-04T12:21:59.5344684Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5344798Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5344913Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5345151Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5345279Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5345377Z graph_break [] 2025-12-04T12:21:59.5345606Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5346341Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5346456Z warnings.warn( 2025-12-04T12:21:59.5347261Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6d9b977814304ae8.xml - 2025-12-04T12:21:59.5347437Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5348292Z FAILED [0.2854s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5348328Z 2025-12-04T12:21:59.5348596Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5349332Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5349337Z 2025-12-04T12:21:59.5349603Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5349783Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5350001Z ================== 1 failed, 13 deselected, 2 rerun in 5.23s =================== 2025-12-04T12:21:59.5350103Z Got exit code 1 2025-12-04T12:21:59.5350228Z Retrying single test... 2025-12-04T12:21:59.5350807Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-4dd895b83e467bd8.xml 2025-12-04T12:21:59.5350970Z ============================= test session starts ============================== 2025-12-04T12:21:59.5351338Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5351448Z cachedir: .pytest_cache 2025-12-04T12:21:59.5351969Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5352112Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5352220Z configfile: pytest.ini 2025-12-04T12:21:59.5352823Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5353051Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5353862Z stepcurrent: skipping 13 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5353988Z Running 1 items in this shard 2025-12-04T12:21:59.5353996Z 2025-12-04T12:21:59.5354683Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9283s] [100%] 2025-12-04T12:21:59.5355377Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2655s] [100%] 2025-12-04T12:21:59.5355972Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2638s] [100%] 2025-12-04T12:21:59.5355978Z 2025-12-04T12:21:59.5356117Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5356529Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5356654Z Traceback (most recent call last): 2025-12-04T12:21:59.5357144Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5357305Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5357824Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5357961Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5358155Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5358160Z 2025-12-04T12:21:59.5358391Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5359152Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5359158Z 2025-12-04T12:21:59.5359426Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5359660Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5359800Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5359948Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5360083Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5360302Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5360411Z graph_break [] 2025-12-04T12:21:59.5360629Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5361363Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5361481Z warnings.warn( 2025-12-04T12:21:59.5361851Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5361971Z Traceback (most recent call last): 2025-12-04T12:21:59.5362458Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5362615Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5363149Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5363273Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5363462Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5363467Z 2025-12-04T12:21:59.5363693Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5364417Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5364422Z 2025-12-04T12:21:59.5364703Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5364920Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5365034Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5365163Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5365287Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5365505Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5365615Z graph_break [] 2025-12-04T12:21:59.5365829Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5366576Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5366676Z warnings.warn( 2025-12-04T12:21:59.5366893Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5367051Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5367165Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5367383Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5367520Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5367620Z graph_break [] 2025-12-04T12:21:59.5367852Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5368583Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5368685Z warnings.warn( 2025-12-04T12:21:59.5368841Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5369207Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5369357Z Traceback (most recent call last): 2025-12-04T12:21:59.5369845Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5370003Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5370536Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5370719Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5370909Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5370915Z 2025-12-04T12:21:59.5371228Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5371953Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5371959Z 2025-12-04T12:21:59.5372241Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5372460Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5372576Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5372705Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5372827Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5373044Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5373164Z graph_break [] 2025-12-04T12:21:59.5373379Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5374130Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5374231Z warnings.warn( 2025-12-04T12:21:59.5374443Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5374567Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5374678Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5374901Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5375036Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5375132Z graph_break [] 2025-12-04T12:21:59.5375343Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5376085Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5376188Z warnings.warn( 2025-12-04T12:21:59.5376415Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5376527Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5376641Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5376870Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5376987Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5377083Z graph_break [] 2025-12-04T12:21:59.5377309Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5378071Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5378186Z warnings.warn( 2025-12-04T12:21:59.5378935Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-4dd895b83e467bd8.xml - 2025-12-04T12:21:59.5379108Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5379956Z FAILED [0.2638s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5379963Z 2025-12-04T12:21:59.5380178Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5380948Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5380954Z 2025-12-04T12:21:59.5381219Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5381397Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5381676Z ================== 1 failed, 275 deselected, 2 rerun in 5.15s ================== 2025-12-04T12:21:59.5381777Z Got exit code 1 2025-12-04T12:21:59.5381895Z Retrying single test... 2025-12-04T12:21:59.5382467Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-1a466250d9e4ea84.xml 2025-12-04T12:21:59.5382630Z ============================= test session starts ============================== 2025-12-04T12:21:59.5382990Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5383102Z cachedir: .pytest_cache 2025-12-04T12:21:59.5383623Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5383757Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5383866Z configfile: pytest.ini 2025-12-04T12:21:59.5384467Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5384698Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5385504Z stepcurrent: skipping 13 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5385631Z Running 1 items in this shard 2025-12-04T12:21:59.5385636Z 2025-12-04T12:21:59.5386327Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9318s] [100%] 2025-12-04T12:21:59.5387026Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2679s] [100%] 2025-12-04T12:21:59.5387626Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2665s] [100%] 2025-12-04T12:21:59.5387635Z 2025-12-04T12:21:59.5387789Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5388158Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5388285Z Traceback (most recent call last): 2025-12-04T12:21:59.5388770Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5388924Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5389494Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5389629Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5389822Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5389827Z 2025-12-04T12:21:59.5390056Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5390787Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5390792Z 2025-12-04T12:21:59.5391056Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5391285Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5391398Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5391526Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5391676Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5391899Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5392011Z graph_break [] 2025-12-04T12:21:59.5392223Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5392959Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5393132Z warnings.warn( 2025-12-04T12:21:59.5393499Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5393633Z Traceback (most recent call last): 2025-12-04T12:21:59.5394106Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5394261Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5394802Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5394931Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5395124Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5395129Z 2025-12-04T12:21:59.5395358Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5396083Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5396092Z 2025-12-04T12:21:59.5396373Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5396593Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5396709Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5396841Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5396962Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5397184Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5397298Z graph_break [] 2025-12-04T12:21:59.5397518Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5398265Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5398373Z warnings.warn( 2025-12-04T12:21:59.5398587Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5398713Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5398827Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5399049Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5399189Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5399288Z graph_break [] 2025-12-04T12:21:59.5402371Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5403163Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5403265Z warnings.warn( 2025-12-04T12:21:59.5403427Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5403796Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5403938Z Traceback (most recent call last): 2025-12-04T12:21:59.5404413Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5404746Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5405279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5405404Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5405667Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5405673Z 2025-12-04T12:21:59.5405906Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5406637Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5406691Z 2025-12-04T12:21:59.5406977Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5407240Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5407351Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5407481Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5407604Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5407825Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5407935Z graph_break [] 2025-12-04T12:21:59.5408148Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5408903Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5409007Z warnings.warn( 2025-12-04T12:21:59.5409223Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5409352Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5409470Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5409696Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5409829Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5409927Z graph_break [] 2025-12-04T12:21:59.5410151Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5410879Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5410985Z warnings.warn( 2025-12-04T12:21:59.5411303Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5411424Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5411539Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5411776Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5411901Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5412024Z graph_break [] 2025-12-04T12:21:59.5412242Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5412976Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5413095Z warnings.warn( 2025-12-04T12:21:59.5413852Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-1a466250d9e4ea84.xml - 2025-12-04T12:21:59.5414026Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5414940Z FAILED [0.2665s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5414947Z 2025-12-04T12:21:59.5415170Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5415913Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5415919Z 2025-12-04T12:21:59.5416185Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5416377Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5416575Z ================== 1 failed, 275 deselected, 2 rerun in 5.21s ================== 2025-12-04T12:21:59.5416722Z Got exit code 1 2025-12-04T12:21:59.5417380Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5417793Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.5418366Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5b77abc461f01082.xml 2025-12-04T12:21:59.5418602Z ============================= test session starts ============================== 2025-12-04T12:21:59.5418952Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5419075Z cachedir: .pytest_cache 2025-12-04T12:21:59.5419595Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5419721Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5419844Z configfile: pytest.ini 2025-12-04T12:21:59.5420435Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5420671Z collecting ... collected 571 items / 14 deselected / 557 selected 2025-12-04T12:21:59.5420813Z stepcurrent: skipping 14 already run items. 2025-12-04T12:21:59.5420930Z Running 262 items in this shard 2025-12-04T12:21:59.5420935Z 2025-12-04T12:21:59.5421632Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9222s] [ 0%] 2025-12-04T12:21:59.5422310Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2758s] [ 0%] 2025-12-04T12:21:59.5422918Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2716s] [ 0%] 2025-12-04T12:21:59.5422924Z 2025-12-04T12:21:59.5423070Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5423435Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5423571Z Traceback (most recent call last): 2025-12-04T12:21:59.5424047Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5424203Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5424740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5424864Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5425072Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5425077Z 2025-12-04T12:21:59.5425291Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5426042Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5426062Z 2025-12-04T12:21:59.5426329Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5426548Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5426679Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5426792Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5426911Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5427144Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5427241Z graph_break [] 2025-12-04T12:21:59.5427456Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5428238Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5428339Z warnings.warn( 2025-12-04T12:21:59.5428717Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5428838Z Traceback (most recent call last): 2025-12-04T12:21:59.5429311Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5429541Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5430059Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5430179Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5430383Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5430388Z 2025-12-04T12:21:59.5430602Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5431334Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5431342Z 2025-12-04T12:21:59.5431609Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5431827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5431952Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5432068Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5432201Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5432420Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5432518Z graph_break [] 2025-12-04T12:21:59.5432744Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5433477Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5433581Z warnings.warn( 2025-12-04T12:21:59.5433815Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5433925Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5434054Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5434273Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5434395Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5434504Z graph_break [] 2025-12-04T12:21:59.5434718Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5435449Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5435563Z warnings.warn( 2025-12-04T12:21:59.5435706Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5436083Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5436203Z Traceback (most recent call last): 2025-12-04T12:21:59.5436720Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5436891Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5437409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5437537Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5437739Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5437744Z 2025-12-04T12:21:59.5437956Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5438690Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5438696Z 2025-12-04T12:21:59.5439002Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5439222Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5439345Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5439458Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5439597Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5439884Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5440014Z graph_break [] 2025-12-04T12:21:59.5440242Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5440979Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5441080Z warnings.warn( 2025-12-04T12:21:59.5441309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5441424Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5441539Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5441777Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5441899Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5442009Z graph_break [] 2025-12-04T12:21:59.5472238Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5473177Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5473305Z warnings.warn( 2025-12-04T12:21:59.5473537Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5473653Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5473784Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5474016Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5474144Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5474263Z graph_break [] 2025-12-04T12:21:59.5474489Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5475241Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5475343Z warnings.warn( 2025-12-04T12:21:59.5476098Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5b77abc461f01082.xml - 2025-12-04T12:21:59.5476291Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5477132Z FAILED [0.2716s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5477140Z 2025-12-04T12:21:59.5477372Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5478227Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5478235Z 2025-12-04T12:21:59.5478500Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5478699Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5478903Z ================== 1 failed, 14 deselected, 2 rerun in 5.15s =================== 2025-12-04T12:21:59.5479018Z Got exit code 1 2025-12-04T12:21:59.5479127Z Retrying single test... 2025-12-04T12:21:59.5479702Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-a264ad88ae41ae6a.xml 2025-12-04T12:21:59.5479878Z ============================= test session starts ============================== 2025-12-04T12:21:59.5480265Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5480375Z cachedir: .pytest_cache 2025-12-04T12:21:59.5480910Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5481033Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5481155Z configfile: pytest.ini 2025-12-04T12:21:59.5481788Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5482054Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5482876Z stepcurrent: skipping 14 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5482988Z Running 1 items in this shard 2025-12-04T12:21:59.5482994Z 2025-12-04T12:21:59.5483695Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9429s] [100%] 2025-12-04T12:21:59.5484370Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2863s] [100%] 2025-12-04T12:21:59.5484961Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2849s] [100%] 2025-12-04T12:21:59.5484971Z 2025-12-04T12:21:59.5485124Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5485485Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5485620Z Traceback (most recent call last): 2025-12-04T12:21:59.5486094Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5486252Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5486793Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5486914Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5487103Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5487123Z 2025-12-04T12:21:59.5487337Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5488058Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5488063Z 2025-12-04T12:21:59.5488337Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5488553Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5488676Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5488789Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5488911Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5489172Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5489271Z graph_break [] 2025-12-04T12:21:59.5489482Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5490234Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5490340Z warnings.warn( 2025-12-04T12:21:59.5490700Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5490833Z Traceback (most recent call last): 2025-12-04T12:21:59.5491410Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5491579Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5492138Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5492260Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5492463Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5492469Z 2025-12-04T12:21:59.5492683Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5493440Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5493491Z 2025-12-04T12:21:59.5493762Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5493979Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5494099Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5494215Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5494336Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5494569Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5494670Z graph_break [] 2025-12-04T12:21:59.5494894Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5495633Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5495739Z warnings.warn( 2025-12-04T12:21:59.5495963Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5496072Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5496181Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5496412Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5496531Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5496636Z graph_break [] 2025-12-04T12:21:59.5496849Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5497578Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5497688Z warnings.warn( 2025-12-04T12:21:59.5497829Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5498191Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5498325Z Traceback (most recent call last): 2025-12-04T12:21:59.5498796Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5498961Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5499480Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5499601Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5499803Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5499809Z 2025-12-04T12:21:59.5500052Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5500774Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5500797Z 2025-12-04T12:21:59.5501064Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5501281Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5501400Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5501513Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5501631Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5501862Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5501961Z graph_break [] 2025-12-04T12:21:59.5502232Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5502967Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5503064Z warnings.warn( 2025-12-04T12:21:59.5503285Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5503452Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5503562Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5503793Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5503914Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5504008Z graph_break [] 2025-12-04T12:21:59.5504234Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5505170Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5505284Z warnings.warn( 2025-12-04T12:21:59.5505499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5505607Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5505739Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5505958Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5506084Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5506196Z graph_break [] 2025-12-04T12:21:59.5506408Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5507147Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5507246Z warnings.warn( 2025-12-04T12:21:59.5508001Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-a264ad88ae41ae6a.xml - 2025-12-04T12:21:59.5508187Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5509017Z FAILED [0.2849s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5509025Z 2025-12-04T12:21:59.5509252Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5509968Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5509973Z 2025-12-04T12:21:59.5510236Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5510426Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5510626Z ================== 1 failed, 275 deselected, 2 rerun in 5.21s ================== 2025-12-04T12:21:59.5510735Z Got exit code 1 2025-12-04T12:21:59.5510840Z Retrying single test... 2025-12-04T12:21:59.5511501Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-655611864532b132.xml 2025-12-04T12:21:59.5511681Z ============================= test session starts ============================== 2025-12-04T12:21:59.5512032Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5512146Z cachedir: .pytest_cache 2025-12-04T12:21:59.5512682Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5512804Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5512925Z configfile: pytest.ini 2025-12-04T12:21:59.5513515Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5513789Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5514610Z stepcurrent: skipping 14 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5514721Z Running 1 items in this shard 2025-12-04T12:21:59.5514769Z 2025-12-04T12:21:59.5515507Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9209s] [100%] 2025-12-04T12:21:59.5516183Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2668s] [100%] 2025-12-04T12:21:59.5516776Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2752s] [100%] 2025-12-04T12:21:59.5516782Z 2025-12-04T12:21:59.5516932Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5517291Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5517424Z Traceback (most recent call last): 2025-12-04T12:21:59.5517898Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5518057Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5518594Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5518715Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5518917Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5518922Z 2025-12-04T12:21:59.5519135Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5519857Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5519865Z 2025-12-04T12:21:59.5520139Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5520359Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5520484Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5520601Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5520720Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5520954Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5521053Z graph_break [] 2025-12-04T12:21:59.5521267Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5522010Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5522113Z warnings.warn( 2025-12-04T12:21:59.5522503Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5522637Z Traceback (most recent call last): 2025-12-04T12:21:59.5523111Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5523279Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5523798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5523918Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5524119Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5524124Z 2025-12-04T12:21:59.5524337Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5525091Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5525097Z 2025-12-04T12:21:59.5525367Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5525581Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5525703Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5525846Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5525992Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5526223Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5526320Z graph_break [] 2025-12-04T12:21:59.5526545Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5527279Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5527377Z warnings.warn( 2025-12-04T12:21:59.5527607Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5527721Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5527834Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5528065Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5528186Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5528293Z graph_break [] 2025-12-04T12:21:59.5528509Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5529240Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5529353Z warnings.warn( 2025-12-04T12:21:59.5529498Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5529857Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5529993Z Traceback (most recent call last): 2025-12-04T12:21:59.5530471Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5530636Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5531247Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5531376Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5531584Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5531589Z 2025-12-04T12:21:59.5531803Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5532530Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5532536Z 2025-12-04T12:21:59.5532804Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5533025Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5533184Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5533302Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5533425Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5533660Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5533762Z graph_break [] 2025-12-04T12:21:59.5533985Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5534720Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5534821Z warnings.warn( 2025-12-04T12:21:59.5535045Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5535156Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5535266Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5535528Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5535648Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5535743Z graph_break [] 2025-12-04T12:21:59.5535968Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5536689Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5536876Z warnings.warn( 2025-12-04T12:21:59.5537086Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5537194Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5537316Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5537531Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5537652Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5537758Z graph_break [] 2025-12-04T12:21:59.5537967Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5538714Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5538812Z warnings.warn( 2025-12-04T12:21:59.5539557Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-655611864532b132.xml - 2025-12-04T12:21:59.5539744Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5540575Z FAILED [0.2752s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5540580Z 2025-12-04T12:21:59.5540808Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5541529Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5541534Z 2025-12-04T12:21:59.5541797Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5541988Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5542185Z ================== 1 failed, 275 deselected, 2 rerun in 5.14s ================== 2025-12-04T12:21:59.5542298Z Got exit code 1 2025-12-04T12:21:59.5542934Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5543342Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.5543927Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-e2e43500ed69186b.xml 2025-12-04T12:21:59.5544088Z ============================= test session starts ============================== 2025-12-04T12:21:59.5544487Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5544597Z cachedir: .pytest_cache 2025-12-04T12:21:59.5545115Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5545257Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5545362Z configfile: pytest.ini 2025-12-04T12:21:59.5545951Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5546191Z collecting ... collected 571 items / 15 deselected / 556 selected 2025-12-04T12:21:59.5546331Z stepcurrent: skipping 15 already run items. 2025-12-04T12:21:59.5546457Z Running 261 items in this shard 2025-12-04T12:21:59.5546462Z 2025-12-04T12:21:59.5547087Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_False_float16_cuda PASSED [3.4519s] [ 0%] 2025-12-04T12:21:59.5547764Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0931s] [ 0%] 2025-12-04T12:21:59.5549606Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2743s] [ 0%] 2025-12-04T12:21:59.5550225Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2611s] [ 0%] 2025-12-04T12:21:59.5550231Z 2025-12-04T12:21:59.5550381Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5550735Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5550861Z Traceback (most recent call last): 2025-12-04T12:21:59.5551352Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5551504Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5552036Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5552163Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5552350Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5552355Z 2025-12-04T12:21:59.5552579Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5553292Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5553297Z 2025-12-04T12:21:59.5553568Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5553787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5553903Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5554027Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5554249Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5554370Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5554482Z graph_break [] 2025-12-04T12:21:59.5554698Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5555441Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5555542Z warnings.warn( 2025-12-04T12:21:59.5555901Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5556033Z Traceback (most recent call last): 2025-12-04T12:21:59.5556507Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5556691Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5557221Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5557344Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5557552Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5557558Z 2025-12-04T12:21:59.5557770Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5558478Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5558483Z 2025-12-04T12:21:59.5558761Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5559006Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5559131Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5559246Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5559463Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5559592Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5559689Z graph_break [] 2025-12-04T12:21:59.5559933Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5560709Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5560812Z warnings.warn( 2025-12-04T12:21:59.5561035Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5561146Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5561260Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5561489Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5561612Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5561707Z graph_break [] 2025-12-04T12:21:59.5561933Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5562663Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5562780Z warnings.warn( 2025-12-04T12:21:59.5562923Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5563279Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5563413Z Traceback (most recent call last): 2025-12-04T12:21:59.5563883Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5564031Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5564561Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5564683Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5564886Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5564892Z 2025-12-04T12:21:59.5565108Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5565826Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5565832Z 2025-12-04T12:21:59.5566107Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5566320Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5566440Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5566554Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5566777Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5566905Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5567031Z graph_break [] 2025-12-04T12:21:59.5567243Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5567986Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5568091Z warnings.warn( 2025-12-04T12:21:59.5568297Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5568416Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5568527Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5568754Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5568877Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5568968Z graph_break [] 2025-12-04T12:21:59.5569224Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5569952Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5570049Z warnings.warn( 2025-12-04T12:21:59.5570270Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5570408Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5570562Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5570781Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5570897Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5571008Z graph_break [] 2025-12-04T12:21:59.5571308Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5572038Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5572153Z warnings.warn( 2025-12-04T12:21:59.5572899Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-e2e43500ed69186b.xml - 2025-12-04T12:21:59.5573079Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5573905Z FAILED [0.2611s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5573914Z 2025-12-04T12:21:59.5574127Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5574857Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5574862Z 2025-12-04T12:21:59.5575124Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5575320Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5575534Z ============= 1 failed, 1 passed, 15 deselected, 2 rerun in 5.77s ============== 2025-12-04T12:21:59.5575632Z Got exit code 1 2025-12-04T12:21:59.5575754Z Retrying single test... 2025-12-04T12:21:59.5576324Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-13c15e30647701d2.xml 2025-12-04T12:21:59.5576504Z ============================= test session starts ============================== 2025-12-04T12:21:59.5576848Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5576954Z cachedir: .pytest_cache 2025-12-04T12:21:59.5577487Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5577612Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5577719Z configfile: pytest.ini 2025-12-04T12:21:59.5578367Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5578596Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5579404Z stepcurrent: skipping 16 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5579523Z Running 1 items in this shard 2025-12-04T12:21:59.5579528Z 2025-12-04T12:21:59.5580202Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9524s] [100%] 2025-12-04T12:21:59.5580891Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2877s] [100%] 2025-12-04T12:21:59.5581525Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2825s] [100%] 2025-12-04T12:21:59.5581531Z 2025-12-04T12:21:59.5581684Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5582058Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5582248Z Traceback (most recent call last): 2025-12-04T12:21:59.5582748Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5582907Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5583446Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5583571Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5583768Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5583775Z 2025-12-04T12:21:59.5584010Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5584732Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5584738Z 2025-12-04T12:21:59.5585025Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5585247Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5585363Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5585495Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5585623Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5585849Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5585966Z graph_break [] 2025-12-04T12:21:59.5586184Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5586941Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5587050Z warnings.warn( 2025-12-04T12:21:59.5587407Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5587549Z Traceback (most recent call last): 2025-12-04T12:21:59.5588029Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5588186Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5588718Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5588846Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5589052Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5589057Z 2025-12-04T12:21:59.5589273Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5590016Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5590022Z 2025-12-04T12:21:59.5590304Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5590521Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5590653Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5590769Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5590888Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5591124Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5591225Z graph_break [] 2025-12-04T12:21:59.5591440Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5592221Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5592322Z warnings.warn( 2025-12-04T12:21:59.5592550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5592660Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5592775Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5593037Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5593188Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5593286Z graph_break [] 2025-12-04T12:21:59.5593510Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5594236Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5594351Z warnings.warn( 2025-12-04T12:21:59.5594494Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5594850Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5594986Z Traceback (most recent call last): 2025-12-04T12:21:59.5595457Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5595614Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5596146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5596269Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5596472Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5596477Z 2025-12-04T12:21:59.5596690Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5597410Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5597415Z 2025-12-04T12:21:59.5597696Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5597912Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5598039Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5598152Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5598273Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5598501Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5598599Z graph_break [] 2025-12-04T12:21:59.5598813Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5599558Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5599660Z warnings.warn( 2025-12-04T12:21:59.5599874Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5599994Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5600140Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5600372Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5600491Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5600590Z graph_break [] 2025-12-04T12:21:59.5600817Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5601552Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5601652Z warnings.warn( 2025-12-04T12:21:59.5601891Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5602004Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5602132Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5602385Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5602508Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5602623Z graph_break [] 2025-12-04T12:21:59.5602841Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5603572Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5603742Z warnings.warn( 2025-12-04T12:21:59.5604678Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-13c15e30647701d2.xml - 2025-12-04T12:21:59.5604868Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5605696Z FAILED [0.2825s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5605704Z 2025-12-04T12:21:59.5605929Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5606662Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5606667Z 2025-12-04T12:21:59.5606937Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5607137Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5607340Z ================== 1 failed, 275 deselected, 2 rerun in 5.23s ================== 2025-12-04T12:21:59.5607448Z Got exit code 1 2025-12-04T12:21:59.5607574Z Retrying single test... 2025-12-04T12:21:59.5608151Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f6812742eda2cb6b.xml 2025-12-04T12:21:59.5608331Z ============================= test session starts ============================== 2025-12-04T12:21:59.5608687Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5608805Z cachedir: .pytest_cache 2025-12-04T12:21:59.5609341Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5609467Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5609576Z configfile: pytest.ini 2025-12-04T12:21:59.5610179Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5610406Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5611294Z stepcurrent: skipping 16 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5611417Z Running 1 items in this shard 2025-12-04T12:21:59.5611422Z 2025-12-04T12:21:59.5612204Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9481s] [100%] 2025-12-04T12:21:59.5612896Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2854s] [100%] 2025-12-04T12:21:59.5613486Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2837s] [100%] 2025-12-04T12:21:59.5613492Z 2025-12-04T12:21:59.5613645Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5614003Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5614129Z Traceback (most recent call last): 2025-12-04T12:21:59.5614667Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5614830Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5615362Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5615484Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5615718Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5615765Z 2025-12-04T12:21:59.5615990Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5616704Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5616709Z 2025-12-04T12:21:59.5616989Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5617205Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5617319Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5617450Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5617569Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5617790Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5617901Z graph_break [] 2025-12-04T12:21:59.5618113Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5618865Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5618968Z warnings.warn( 2025-12-04T12:21:59.5619324Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5619456Z Traceback (most recent call last): 2025-12-04T12:21:59.5619930Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5620085Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5620614Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5620737Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5620939Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5620947Z 2025-12-04T12:21:59.5621161Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5621874Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5621879Z 2025-12-04T12:21:59.5622156Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5622371Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5622496Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5622611Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5622729Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5623012Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5623111Z graph_break [] 2025-12-04T12:21:59.5623324Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5624068Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5624167Z warnings.warn( 2025-12-04T12:21:59.5624392Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5624502Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5624614Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5624846Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5624965Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5625093Z graph_break [] 2025-12-04T12:21:59.5625321Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5626049Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5626162Z warnings.warn( 2025-12-04T12:21:59.5626337Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5626723Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5626863Z Traceback (most recent call last): 2025-12-04T12:21:59.5627335Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5627491Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5628024Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5628150Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5628353Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5628359Z 2025-12-04T12:21:59.5628573Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5629291Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5629300Z 2025-12-04T12:21:59.5629581Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5629798Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5629923Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5630037Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5630157Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5630385Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5630484Z graph_break [] 2025-12-04T12:21:59.5630700Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5631448Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5631551Z warnings.warn( 2025-12-04T12:21:59.5631779Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5631889Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5632005Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5632239Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5632360Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5632459Z graph_break [] 2025-12-04T12:21:59.5632683Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5633451Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5633552Z warnings.warn( 2025-12-04T12:21:59.5633781Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5633891Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5634021Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5634244Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5634367Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5634480Z graph_break [] 2025-12-04T12:21:59.5634697Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5635428Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5635543Z warnings.warn( 2025-12-04T12:21:59.5636333Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f6812742eda2cb6b.xml - 2025-12-04T12:21:59.5636520Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5637347Z FAILED [0.2837s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5637414Z 2025-12-04T12:21:59.5637630Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5638359Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5638364Z 2025-12-04T12:21:59.5638630Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5638827Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5639030Z ================== 1 failed, 275 deselected, 2 rerun in 5.22s ================== 2025-12-04T12:21:59.5639133Z Got exit code 1 2025-12-04T12:21:59.5639783Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5640199Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.5640791Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-4ff4da56c2cd9050.xml 2025-12-04T12:21:59.5640955Z ============================= test session starts ============================== 2025-12-04T12:21:59.5641306Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5641434Z cachedir: .pytest_cache 2025-12-04T12:21:59.5641958Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5642100Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5642210Z configfile: pytest.ini 2025-12-04T12:21:59.5642798Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5643040Z collecting ... collected 571 items / 17 deselected / 554 selected 2025-12-04T12:21:59.5643190Z stepcurrent: skipping 17 already run items. 2025-12-04T12:21:59.5643301Z Running 259 items in this shard 2025-12-04T12:21:59.5643306Z 2025-12-04T12:21:59.5644006Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9489s] [ 0%] 2025-12-04T12:21:59.5644691Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2759s] [ 0%] 2025-12-04T12:21:59.5645336Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2611s] [ 0%] 2025-12-04T12:21:59.5645343Z 2025-12-04T12:21:59.5645481Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5645851Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5645989Z Traceback (most recent call last): 2025-12-04T12:21:59.5646466Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5646636Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5647157Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5647281Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5647514Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5647520Z 2025-12-04T12:21:59.5647735Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5648472Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5648528Z 2025-12-04T12:21:59.5648796Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5649043Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5649166Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5649277Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5649398Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5649634Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5649732Z graph_break [] 2025-12-04T12:21:59.5649961Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5650700Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5650802Z warnings.warn( 2025-12-04T12:21:59.5651267Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5651392Z Traceback (most recent call last): 2025-12-04T12:21:59.5651871Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5652042Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5652560Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5652696Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5652884Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5652889Z 2025-12-04T12:21:59.5653106Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5653843Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5653849Z 2025-12-04T12:21:59.5654119Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5654354Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5654465Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5654580Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5654715Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5654935Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5655037Z graph_break [] 2025-12-04T12:21:59.5655262Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5656048Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5656164Z warnings.warn( 2025-12-04T12:21:59.5656378Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5656492Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5656621Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5656841Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5656962Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5657069Z graph_break [] 2025-12-04T12:21:59.5657284Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5658023Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5658122Z warnings.warn( 2025-12-04T12:21:59.5658298Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5658688Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5658810Z Traceback (most recent call last): 2025-12-04T12:21:59.5659282Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5659484Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5660048Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5660183Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5660374Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5660380Z 2025-12-04T12:21:59.5660592Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5661334Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5661339Z 2025-12-04T12:21:59.5661607Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5661837Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5661949Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5662066Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5662203Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5662422Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5662526Z graph_break [] 2025-12-04T12:21:59.5662756Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5663496Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5663612Z warnings.warn( 2025-12-04T12:21:59.5663827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5663941Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5664074Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5664291Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5664411Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5664522Z graph_break [] 2025-12-04T12:21:59.5664735Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5665463Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5665572Z warnings.warn( 2025-12-04T12:21:59.5665787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5665909Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5666020Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5666238Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5666418Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5666516Z graph_break [] 2025-12-04T12:21:59.5666728Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5667464Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5667567Z warnings.warn( 2025-12-04T12:21:59.5668334Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-4ff4da56c2cd9050.xml - 2025-12-04T12:21:59.5668504Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5669376Z FAILED [0.2611s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5669395Z 2025-12-04T12:21:59.5669613Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5670340Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5670374Z 2025-12-04T12:21:59.5670681Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5670860Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5671057Z ================== 1 failed, 17 deselected, 2 rerun in 5.21s =================== 2025-12-04T12:21:59.5671168Z Got exit code 1 2025-12-04T12:21:59.5671275Z Retrying single test... 2025-12-04T12:21:59.5671862Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0fbcf938d8706f8d.xml 2025-12-04T12:21:59.5672026Z ============================= test session starts ============================== 2025-12-04T12:21:59.5672380Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5672503Z cachedir: .pytest_cache 2025-12-04T12:21:59.5673027Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5673155Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5673273Z configfile: pytest.ini 2025-12-04T12:21:59.5673864Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5674100Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5674904Z stepcurrent: skipping 17 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5675020Z Running 1 items in this shard 2025-12-04T12:21:59.5675026Z 2025-12-04T12:21:59.5675722Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9718s] [100%] 2025-12-04T12:21:59.5676405Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2918s] [100%] 2025-12-04T12:21:59.5677017Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2829s] [100%] 2025-12-04T12:21:59.5677022Z 2025-12-04T12:21:59.5677160Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5677541Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5677661Z Traceback (most recent call last): 2025-12-04T12:21:59.5678137Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5678337Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5678862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5678987Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5679191Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5679196Z 2025-12-04T12:21:59.5679410Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5680153Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5680158Z 2025-12-04T12:21:59.5680426Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5680676Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5680802Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5680919Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5681054Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5681272Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5681373Z graph_break [] 2025-12-04T12:21:59.5681629Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5682390Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5682492Z warnings.warn( 2025-12-04T12:21:59.5682870Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5682991Z Traceback (most recent call last): 2025-12-04T12:21:59.5683477Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5683634Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5684153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5684290Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5684482Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5684490Z 2025-12-04T12:21:59.5684703Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5685445Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5685451Z 2025-12-04T12:21:59.5685716Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5685944Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5686058Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5686172Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5686313Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5686532Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5686630Z graph_break [] 2025-12-04T12:21:59.5686858Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5687593Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5687714Z warnings.warn( 2025-12-04T12:21:59.5687928Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5688039Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5688167Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5688384Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5688509Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5688620Z graph_break [] 2025-12-04T12:21:59.5688869Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5689623Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5689729Z warnings.warn( 2025-12-04T12:21:59.5689875Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5690258Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5690381Z Traceback (most recent call last): 2025-12-04T12:21:59.5690856Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5691150Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5691719Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5691863Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5692059Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5692065Z 2025-12-04T12:21:59.5692280Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5693058Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5693095Z 2025-12-04T12:21:59.5693364Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5693596Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5693709Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5693828Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5693967Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5694193Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5694293Z graph_break [] 2025-12-04T12:21:59.5694524Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5695259Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5695384Z warnings.warn( 2025-12-04T12:21:59.5695603Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5695712Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5695840Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5696059Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5696181Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5696300Z graph_break [] 2025-12-04T12:21:59.5696513Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5697258Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5697359Z warnings.warn( 2025-12-04T12:21:59.5697576Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5697702Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5697817Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5698036Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5698165Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5698261Z graph_break [] 2025-12-04T12:21:59.5698475Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5699220Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5699319Z warnings.warn( 2025-12-04T12:21:59.5700121Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0fbcf938d8706f8d.xml - 2025-12-04T12:21:59.5700290Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5701128Z FAILED [0.2829s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5701149Z 2025-12-04T12:21:59.5701362Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5702082Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5702088Z 2025-12-04T12:21:59.5702367Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5702577Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5702778Z ================== 1 failed, 275 deselected, 2 rerun in 5.29s ================== 2025-12-04T12:21:59.5702891Z Got exit code 1 2025-12-04T12:21:59.5702997Z Retrying single test... 2025-12-04T12:21:59.5703586Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-156a00f80dc0f6e2.xml 2025-12-04T12:21:59.5703823Z ============================= test session starts ============================== 2025-12-04T12:21:59.5704173Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5704295Z cachedir: .pytest_cache 2025-12-04T12:21:59.5704986Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5705124Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5705231Z configfile: pytest.ini 2025-12-04T12:21:59.5705829Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5706074Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5706887Z stepcurrent: skipping 17 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5707010Z Running 1 items in this shard 2025-12-04T12:21:59.5707015Z 2025-12-04T12:21:59.5707719Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9185s] [100%] 2025-12-04T12:21:59.5708408Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2694s] [100%] 2025-12-04T12:21:59.5709028Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2765s] [100%] 2025-12-04T12:21:59.5709034Z 2025-12-04T12:21:59.5709175Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5709558Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5709683Z Traceback (most recent call last): 2025-12-04T12:21:59.5710153Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5710324Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5710844Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5710968Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5711172Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5711177Z 2025-12-04T12:21:59.5711391Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5712219Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5712225Z 2025-12-04T12:21:59.5712500Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5712724Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5712853Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5712970Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5713106Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5713330Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5713437Z graph_break [] 2025-12-04T12:21:59.5713669Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5714454Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5714560Z warnings.warn( 2025-12-04T12:21:59.5714945Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5715069Z Traceback (most recent call last): 2025-12-04T12:21:59.5715610Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5715809Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5716331Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5716471Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5716665Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5716670Z 2025-12-04T12:21:59.5716893Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5717636Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5717641Z 2025-12-04T12:21:59.5717910Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5718147Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5718265Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5718384Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5718528Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5718750Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5718865Z graph_break [] 2025-12-04T12:21:59.5719079Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5719812Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5719928Z warnings.warn( 2025-12-04T12:21:59.5720142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5720252Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5720378Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5720635Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5720758Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5720868Z graph_break [] 2025-12-04T12:21:59.5721084Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5721824Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5721923Z warnings.warn( 2025-12-04T12:21:59.5722065Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5722484Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5722613Z Traceback (most recent call last): 2025-12-04T12:21:59.5723089Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5723258Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5723780Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5723916Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5724109Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5724114Z 2025-12-04T12:21:59.5724329Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5725099Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5725104Z 2025-12-04T12:21:59.5725379Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5725606Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5725717Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5725831Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5726003Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5726252Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5726349Z graph_break [] 2025-12-04T12:21:59.5726572Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5727298Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5727411Z warnings.warn( 2025-12-04T12:21:59.5727626Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5727735Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5727861Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5728079Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5728199Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5728307Z graph_break [] 2025-12-04T12:21:59.5728523Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5729267Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5729366Z warnings.warn( 2025-12-04T12:21:59.5729578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5729700Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5729813Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5730036Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5730168Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5730267Z graph_break [] 2025-12-04T12:21:59.5730479Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5731304Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5731412Z warnings.warn( 2025-12-04T12:21:59.5732181Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-156a00f80dc0f6e2.xml - 2025-12-04T12:21:59.5732354Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5733193Z FAILED [0.2765s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5733216Z 2025-12-04T12:21:59.5733475Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5734204Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5734209Z 2025-12-04T12:21:59.5734496Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5734675Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5734887Z ================== 1 failed, 275 deselected, 2 rerun in 5.14s ================== 2025-12-04T12:21:59.5734985Z Got exit code 1 2025-12-04T12:21:59.5735630Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5736055Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.5736676Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6ab8bea6af0d390e.xml 2025-12-04T12:21:59.5736841Z ============================= test session starts ============================== 2025-12-04T12:21:59.5737208Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5737382Z cachedir: .pytest_cache 2025-12-04T12:21:59.5737916Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5738041Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5738153Z configfile: pytest.ini 2025-12-04T12:21:59.5738756Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5738983Z collecting ... collected 571 items / 18 deselected / 553 selected 2025-12-04T12:21:59.5739127Z stepcurrent: skipping 18 already run items. 2025-12-04T12:21:59.5739255Z Running 258 items in this shard 2025-12-04T12:21:59.5739260Z 2025-12-04T12:21:59.5739938Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9479s] [ 0%] 2025-12-04T12:21:59.5740623Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2858s] [ 0%] 2025-12-04T12:21:59.5741213Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2832s] [ 0%] 2025-12-04T12:21:59.5741220Z 2025-12-04T12:21:59.5741370Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5741726Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5741851Z Traceback (most recent call last): 2025-12-04T12:21:59.5742344Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5742500Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5743020Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5743162Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5743354Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5743360Z 2025-12-04T12:21:59.5743589Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5744305Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5744311Z 2025-12-04T12:21:59.5744578Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5744812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5744959Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5745091Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5745214Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5745434Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5745554Z graph_break [] 2025-12-04T12:21:59.5745771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5746504Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5746625Z warnings.warn( 2025-12-04T12:21:59.5746987Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5747125Z Traceback (most recent call last): 2025-12-04T12:21:59.5747646Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5747805Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5748332Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5748457Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5748708Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5748728Z 2025-12-04T12:21:59.5748946Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5749658Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5749664Z 2025-12-04T12:21:59.5749948Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5750168Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5750278Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5750412Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5750536Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5750771Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5750871Z graph_break [] 2025-12-04T12:21:59.5751087Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5751829Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5751933Z warnings.warn( 2025-12-04T12:21:59.5752148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5752272Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5752388Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5752624Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5752747Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5752846Z graph_break [] 2025-12-04T12:21:59.5753069Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5753791Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5753894Z warnings.warn( 2025-12-04T12:21:59.5754047Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5754403Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5754536Z Traceback (most recent call last): 2025-12-04T12:21:59.5755008Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5755162Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5755720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5755844Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5756036Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5756041Z 2025-12-04T12:21:59.5756267Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5756989Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5756995Z 2025-12-04T12:21:59.5757273Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5757487Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5757599Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5757733Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5757881Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5758106Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5758217Z graph_break [] 2025-12-04T12:21:59.5758429Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5759178Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5759337Z warnings.warn( 2025-12-04T12:21:59.5759550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5759677Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5759789Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5760006Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5760141Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5760237Z graph_break [] 2025-12-04T12:21:59.5760466Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5761195Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5761296Z warnings.warn( 2025-12-04T12:21:59.5761523Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5761640Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5761752Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5761981Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5762101Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5762210Z graph_break [] 2025-12-04T12:21:59.5762421Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5763151Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5763264Z warnings.warn( 2025-12-04T12:21:59.5764020Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6ab8bea6af0d390e.xml - 2025-12-04T12:21:59.5764189Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5765026Z FAILED [0.2832s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5765034Z 2025-12-04T12:21:59.5765250Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5765976Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5765981Z 2025-12-04T12:21:59.5766248Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5766469Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5766666Z ================== 1 failed, 18 deselected, 2 rerun in 5.23s =================== 2025-12-04T12:21:59.5766765Z Got exit code 1 2025-12-04T12:21:59.5766888Z Retrying single test... 2025-12-04T12:21:59.5767462Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f4908e9e46fb5bbc.xml 2025-12-04T12:21:59.5767626Z ============================= test session starts ============================== 2025-12-04T12:21:59.5767989Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5768097Z cachedir: .pytest_cache 2025-12-04T12:21:59.5768631Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5768758Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5768902Z configfile: pytest.ini 2025-12-04T12:21:59.5769512Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5769739Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5770542Z stepcurrent: skipping 18 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5770725Z Running 1 items in this shard 2025-12-04T12:21:59.5770730Z 2025-12-04T12:21:59.5771493Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9177s] [100%] 2025-12-04T12:21:59.5772184Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2662s] [100%] 2025-12-04T12:21:59.5772774Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2642s] [100%] 2025-12-04T12:21:59.5772780Z 2025-12-04T12:21:59.5772935Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5773292Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5773420Z Traceback (most recent call last): 2025-12-04T12:21:59.5773916Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5774072Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5774590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5774727Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5774919Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5774926Z 2025-12-04T12:21:59.5775162Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5775876Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5775881Z 2025-12-04T12:21:59.5776152Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5776381Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5776491Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5776616Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5776739Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5776962Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5777073Z graph_break [] 2025-12-04T12:21:59.5777291Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5778066Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5778180Z warnings.warn( 2025-12-04T12:21:59.5778540Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5778676Z Traceback (most recent call last): 2025-12-04T12:21:59.5779148Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5779301Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5779831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5779956Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5780151Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5780170Z 2025-12-04T12:21:59.5780419Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5781140Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5781145Z 2025-12-04T12:21:59.5781424Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5781669Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5781810Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5781935Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5782053Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5782283Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5782380Z graph_break [] 2025-12-04T12:21:59.5782591Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5783337Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5783440Z warnings.warn( 2025-12-04T12:21:59.5783656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5783777Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5783888Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5784123Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5784247Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5784344Z graph_break [] 2025-12-04T12:21:59.5784568Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5785297Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5785397Z warnings.warn( 2025-12-04T12:21:59.5785556Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5785916Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5786052Z Traceback (most recent call last): 2025-12-04T12:21:59.5786526Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5786682Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5787217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5787340Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5787533Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5787539Z 2025-12-04T12:21:59.5787767Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5788482Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5788487Z 2025-12-04T12:21:59.5788823Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5789040Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5789154Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5789284Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5789406Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5789635Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5789732Z graph_break [] 2025-12-04T12:21:59.5789944Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5790689Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5790789Z warnings.warn( 2025-12-04T12:21:59.5791033Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5791158Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5791272Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5791492Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5791627Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5791754Z graph_break [] 2025-12-04T12:21:59.5792013Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5792747Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5792847Z warnings.warn( 2025-12-04T12:21:59.5793084Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5793195Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5793307Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5793544Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5793668Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5793783Z graph_break [] 2025-12-04T12:21:59.5793997Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5794728Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5794848Z warnings.warn( 2025-12-04T12:21:59.5795605Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f4908e9e46fb5bbc.xml - 2025-12-04T12:21:59.5795776Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5796618Z FAILED [0.2642s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5796624Z 2025-12-04T12:21:59.5796846Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5797579Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5797584Z 2025-12-04T12:21:59.5797854Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5798048Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5798250Z ================== 1 failed, 275 deselected, 2 rerun in 5.16s ================== 2025-12-04T12:21:59.5798352Z Got exit code 1 2025-12-04T12:21:59.5798481Z Retrying single test... 2025-12-04T12:21:59.5799060Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-109d3b7ec84ffaca.xml 2025-12-04T12:21:59.5799223Z ============================= test session starts ============================== 2025-12-04T12:21:59.5799627Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5799739Z cachedir: .pytest_cache 2025-12-04T12:21:59.5800277Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5800407Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5800519Z configfile: pytest.ini 2025-12-04T12:21:59.5801124Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5801356Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5802158Z stepcurrent: skipping 18 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5802317Z Running 1 items in this shard 2025-12-04T12:21:59.5802322Z 2025-12-04T12:21:59.5803000Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9634s] [100%] 2025-12-04T12:21:59.5803685Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2758s] [100%] 2025-12-04T12:21:59.5804335Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2619s] [100%] 2025-12-04T12:21:59.5804341Z 2025-12-04T12:21:59.5804664Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5805025Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5805148Z Traceback (most recent call last): 2025-12-04T12:21:59.5805642Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5805799Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5806324Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5806460Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5806652Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5806661Z 2025-12-04T12:21:59.5806893Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5807608Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5807613Z 2025-12-04T12:21:59.5807893Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5808109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5808222Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5808353Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5808477Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5808695Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5808806Z graph_break [] 2025-12-04T12:21:59.5809020Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5809755Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5809869Z warnings.warn( 2025-12-04T12:21:59.5810225Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5810362Z Traceback (most recent call last): 2025-12-04T12:21:59.5810832Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5810988Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5811669Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5811798Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5811989Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5812010Z 2025-12-04T12:21:59.5812226Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5812944Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5812949Z 2025-12-04T12:21:59.5813226Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5813442Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5813560Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5813731Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5813857Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5814094Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5814193Z graph_break [] 2025-12-04T12:21:59.5814410Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5815198Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5815341Z warnings.warn( 2025-12-04T12:21:59.5815557Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5815680Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5815794Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5816026Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5816148Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5816249Z graph_break [] 2025-12-04T12:21:59.5816478Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5817203Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5817302Z warnings.warn( 2025-12-04T12:21:59.5817460Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5817818Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5817952Z Traceback (most recent call last): 2025-12-04T12:21:59.5818422Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5818574Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5819107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5819231Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5819422Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5819427Z 2025-12-04T12:21:59.5819652Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5820367Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5820376Z 2025-12-04T12:21:59.5820655Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5820874Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5820992Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5821122Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5821246Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5821483Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5821583Z graph_break [] 2025-12-04T12:21:59.5821833Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5822585Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5822689Z warnings.warn( 2025-12-04T12:21:59.5822905Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5823031Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5823148Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5823372Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5823508Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5823608Z graph_break [] 2025-12-04T12:21:59.5823837Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5824602Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5824705Z warnings.warn( 2025-12-04T12:21:59.5824937Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5825048Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5825208Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5825487Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5825608Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5825720Z graph_break [] 2025-12-04T12:21:59.5825939Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5826668Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5826784Z warnings.warn( 2025-12-04T12:21:59.5827547Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-109d3b7ec84ffaca.xml - 2025-12-04T12:21:59.5827717Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5828553Z FAILED [0.2619s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5828564Z 2025-12-04T12:21:59.5828780Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5829504Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5829509Z 2025-12-04T12:21:59.5829774Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5829965Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5830165Z ================== 1 failed, 275 deselected, 2 rerun in 5.25s ================== 2025-12-04T12:21:59.5830266Z Got exit code 1 2025-12-04T12:21:59.5830907Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5831319Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.5831897Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-3f240c3aead6a969.xml 2025-12-04T12:21:59.5832070Z ============================= test session starts ============================== 2025-12-04T12:21:59.5832421Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5832544Z cachedir: .pytest_cache 2025-12-04T12:21:59.5833065Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5833220Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5833339Z configfile: pytest.ini 2025-12-04T12:21:59.5833927Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5834163Z collecting ... collected 571 items / 19 deselected / 552 selected 2025-12-04T12:21:59.5834309Z stepcurrent: skipping 19 already run items. 2025-12-04T12:21:59.5834421Z Running 257 items in this shard 2025-12-04T12:21:59.5834426Z 2025-12-04T12:21:59.5835033Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_float16_cuda PASSED [3.4479s] [ 0%] 2025-12-04T12:21:59.5835644Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_False_float16_cuda PASSED [0.3167s] [ 0%] 2025-12-04T12:21:59.5836386Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0951s] [ 1%] 2025-12-04T12:21:59.5837087Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2784s] [ 1%] 2025-12-04T12:21:59.5837725Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2748s] [ 1%] 2025-12-04T12:21:59.5837759Z 2025-12-04T12:21:59.5837909Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5838287Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5838421Z Traceback (most recent call last): 2025-12-04T12:21:59.5838897Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5839055Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5839589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5839711Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5839901Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5839920Z 2025-12-04T12:21:59.5840135Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5840876Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5840882Z 2025-12-04T12:21:59.5841165Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5841385Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5841498Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5841631Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5841853Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5841994Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5842095Z graph_break [] 2025-12-04T12:21:59.5842310Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5843060Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5843163Z warnings.warn( 2025-12-04T12:21:59.5843543Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5843678Z Traceback (most recent call last): 2025-12-04T12:21:59.5844151Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5844319Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5844873Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5844998Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5845200Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5845206Z 2025-12-04T12:21:59.5845424Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5846173Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5846179Z 2025-12-04T12:21:59.5846444Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5846661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5846788Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5846901Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5847161Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5847299Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5847397Z graph_break [] 2025-12-04T12:21:59.5847624Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5848358Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5848513Z warnings.warn( 2025-12-04T12:21:59.5848743Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5848853Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5848967Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5849201Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5849323Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5849435Z graph_break [] 2025-12-04T12:21:59.5849654Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5850382Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5850499Z warnings.warn( 2025-12-04T12:21:59.5850640Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5851021Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5851259Z Traceback (most recent call last): 2025-12-04T12:21:59.5851738Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5851907Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5852426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5852553Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5852761Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5852767Z 2025-12-04T12:21:59.5852987Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5853725Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5853749Z 2025-12-04T12:21:59.5854016Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5854233Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5854359Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5854476Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5854698Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5854837Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5854937Z graph_break [] 2025-12-04T12:21:59.5855197Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5855948Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5856053Z warnings.warn( 2025-12-04T12:21:59.5856284Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5856398Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5856513Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5856745Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5856865Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5856961Z graph_break [] 2025-12-04T12:21:59.5857191Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5857951Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5858066Z warnings.warn( 2025-12-04T12:21:59.5858277Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5858387Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5858511Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5858768Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5858919Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5859025Z graph_break [] 2025-12-04T12:21:59.5859236Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5859975Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5860074Z warnings.warn( 2025-12-04T12:21:59.5860830Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-3f240c3aead6a969.xml - 2025-12-04T12:21:59.5861012Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5861859Z FAILED [0.2748s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5861870Z 2025-12-04T12:21:59.5862096Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5862830Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5862836Z 2025-12-04T12:21:59.5863102Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5863292Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5863505Z ============= 1 failed, 2 passed, 19 deselected, 2 rerun in 6.10s ============== 2025-12-04T12:21:59.5863617Z Got exit code 1 2025-12-04T12:21:59.5863722Z Retrying single test... 2025-12-04T12:21:59.5864293Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-53a41b737858dc50.xml 2025-12-04T12:21:59.5864475Z ============================= test session starts ============================== 2025-12-04T12:21:59.5864825Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5864933Z cachedir: .pytest_cache 2025-12-04T12:21:59.5865470Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5865596Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5865720Z configfile: pytest.ini 2025-12-04T12:21:59.5866316Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5866580Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5867416Z stepcurrent: skipping 21 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5867535Z Running 1 items in this shard 2025-12-04T12:21:59.5867543Z 2025-12-04T12:21:59.5868249Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9458s] [100%] 2025-12-04T12:21:59.5868949Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2872s] [100%] 2025-12-04T12:21:59.5869592Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2860s] [100%] 2025-12-04T12:21:59.5869598Z 2025-12-04T12:21:59.5869753Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5870131Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5870264Z Traceback (most recent call last): 2025-12-04T12:21:59.5870787Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5870974Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5871509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5871633Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5871835Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5871840Z 2025-12-04T12:21:59.5872054Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5872797Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5872803Z 2025-12-04T12:21:59.5873083Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5873300Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5873427Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5873541Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5873660Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5873896Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5873995Z graph_break [] 2025-12-04T12:21:59.5874209Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5874956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5875056Z warnings.warn( 2025-12-04T12:21:59.5875439Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5875576Z Traceback (most recent call last): 2025-12-04T12:21:59.5876053Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5876226Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5876743Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5876867Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5877070Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5877075Z 2025-12-04T12:21:59.5877291Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5878073Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5878078Z 2025-12-04T12:21:59.5878345Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5878562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5878689Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5878806Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5878931Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5879163Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5879262Z graph_break [] 2025-12-04T12:21:59.5879489Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5880225Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5880357Z warnings.warn( 2025-12-04T12:21:59.5880587Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5880698Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5880811Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5881042Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5881192Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5881334Z graph_break [] 2025-12-04T12:21:59.5881545Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5882277Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5882389Z warnings.warn( 2025-12-04T12:21:59.5882531Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5882914Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5883049Z Traceback (most recent call last): 2025-12-04T12:21:59.5883522Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5883688Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5884201Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5884329Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5884530Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5884535Z 2025-12-04T12:21:59.5884750Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5885496Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5885502Z 2025-12-04T12:21:59.5885768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5885985Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5886105Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5886218Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5886343Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5886575Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5886674Z graph_break [] 2025-12-04T12:21:59.5886900Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5887631Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5887731Z warnings.warn( 2025-12-04T12:21:59.5887957Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5888068Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5888180Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5888445Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5888564Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5888663Z graph_break [] 2025-12-04T12:21:59.5888887Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5889622Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5889736Z warnings.warn( 2025-12-04T12:21:59.5889947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5890057Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5890182Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5890400Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5890547Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5890658Z graph_break [] 2025-12-04T12:21:59.5890872Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5891698Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5891839Z warnings.warn( 2025-12-04T12:21:59.5892618Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-53a41b737858dc50.xml - 2025-12-04T12:21:59.5892802Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5893653Z FAILED [0.2860s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5893659Z 2025-12-04T12:21:59.5893889Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5894629Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5894634Z 2025-12-04T12:21:59.5894901Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5895094Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5895296Z ================== 1 failed, 275 deselected, 2 rerun in 5.23s ================== 2025-12-04T12:21:59.5895407Z Got exit code 1 2025-12-04T12:21:59.5895513Z Retrying single test... 2025-12-04T12:21:59.5896090Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-9e2f4b2f9501e2bf.xml 2025-12-04T12:21:59.5896264Z ============================= test session starts ============================== 2025-12-04T12:21:59.5896617Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5896727Z cachedir: .pytest_cache 2025-12-04T12:21:59.5897262Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5897387Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5897510Z configfile: pytest.ini 2025-12-04T12:21:59.5898102Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5898329Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5899163Z stepcurrent: skipping 21 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5899275Z Running 1 items in this shard 2025-12-04T12:21:59.5899280Z 2025-12-04T12:21:59.5900030Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9163s] [100%] 2025-12-04T12:21:59.5900729Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2664s] [100%] 2025-12-04T12:21:59.5901340Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2531s] [100%] 2025-12-04T12:21:59.5901362Z 2025-12-04T12:21:59.5901503Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5901883Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5902022Z Traceback (most recent call last): 2025-12-04T12:21:59.5902497Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5902684Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5903224Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5903349Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5903554Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5903591Z 2025-12-04T12:21:59.5903836Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5904800Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5904806Z 2025-12-04T12:21:59.5905092Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5905312Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5905440Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5905560Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5905686Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5905923Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5906023Z graph_break [] 2025-12-04T12:21:59.5906239Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5906997Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5907103Z warnings.warn( 2025-12-04T12:21:59.5907501Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5907630Z Traceback (most recent call last): 2025-12-04T12:21:59.5908106Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5908279Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5908805Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5908930Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5909137Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5909143Z 2025-12-04T12:21:59.5909359Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5910114Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5910119Z 2025-12-04T12:21:59.5910390Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5910608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5910739Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5910857Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5910998Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5911284Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5911385Z graph_break [] 2025-12-04T12:21:59.5911612Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5912344Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5912453Z warnings.warn( 2025-12-04T12:21:59.5912683Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5912793Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5912909Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5913143Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5913266Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5913381Z graph_break [] 2025-12-04T12:21:59.5913651Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5914380Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5914490Z warnings.warn( 2025-12-04T12:21:59.5914635Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5915099Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.5915237Z Traceback (most recent call last): 2025-12-04T12:21:59.5915707Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5915873Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5916386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5916510Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5916718Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5916723Z 2025-12-04T12:21:59.5916935Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5917683Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5917693Z 2025-12-04T12:21:59.5917963Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5918180Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5918304Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5918418Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5918538Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5918769Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5918866Z graph_break [] 2025-12-04T12:21:59.5919095Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5919833Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5919935Z warnings.warn( 2025-12-04T12:21:59.5920161Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5920273Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5920389Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5920624Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5920745Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5920860Z graph_break [] 2025-12-04T12:21:59.5921072Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5921800Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5921949Z warnings.warn( 2025-12-04T12:21:59.5922165Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5922275Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5922402Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5922622Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5922757Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5922854Z graph_break [] 2025-12-04T12:21:59.5923064Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5923805Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5923905Z warnings.warn( 2025-12-04T12:21:59.5924694Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-9e2f4b2f9501e2bf.xml - 2025-12-04T12:21:59.5924881Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5925736Z FAILED [0.2531s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5925799Z 2025-12-04T12:21:59.5926028Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5926765Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5926770Z 2025-12-04T12:21:59.5927048Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5927225Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5927428Z ================== 1 failed, 275 deselected, 2 rerun in 5.13s ================== 2025-12-04T12:21:59.5927543Z Got exit code 1 2025-12-04T12:21:59.5928199Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.5928612Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.5929203Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-fe5a196f9e6a672e.xml 2025-12-04T12:21:59.5929368Z ============================= test session starts ============================== 2025-12-04T12:21:59.5929731Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5929842Z cachedir: .pytest_cache 2025-12-04T12:21:59.5930363Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5930503Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5930615Z configfile: pytest.ini 2025-12-04T12:21:59.5931285Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5931527Z collecting ... collected 571 items / 22 deselected / 549 selected 2025-12-04T12:21:59.5931675Z stepcurrent: skipping 22 already run items. 2025-12-04T12:21:59.5931804Z Running 254 items in this shard 2025-12-04T12:21:59.5931810Z 2025-12-04T12:21:59.5932494Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9191s] [ 0%] 2025-12-04T12:21:59.5933168Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2657s] [ 0%] 2025-12-04T12:21:59.5933807Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2619s] [ 0%] 2025-12-04T12:21:59.5933813Z 2025-12-04T12:21:59.5933954Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5934321Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5934450Z Traceback (most recent call last): 2025-12-04T12:21:59.5934923Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5935091Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5935608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5935744Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5935933Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5935938Z 2025-12-04T12:21:59.5936187Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5936927Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5936932Z 2025-12-04T12:21:59.5937199Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5937484Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5937595Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5937710Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5937842Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5938060Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5938157Z graph_break [] 2025-12-04T12:21:59.5938387Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5939124Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5939241Z warnings.warn( 2025-12-04T12:21:59.5939599Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5939721Z Traceback (most recent call last): 2025-12-04T12:21:59.5940206Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5940363Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5940880Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5941016Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5941205Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5941211Z 2025-12-04T12:21:59.5941439Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5942155Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5942161Z 2025-12-04T12:21:59.5942430Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5942660Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5942775Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5942902Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5943022Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5943243Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5943351Z graph_break [] 2025-12-04T12:21:59.5943563Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5944301Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5944450Z warnings.warn( 2025-12-04T12:21:59.5944664Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5944784Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5944899Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5945121Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5945255Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5945351Z graph_break [] 2025-12-04T12:21:59.5945566Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5946306Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5946409Z warnings.warn( 2025-12-04T12:21:59.5946567Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5946956Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5947081Z Traceback (most recent call last): 2025-12-04T12:21:59.5947571Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5947725Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5948298Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5948433Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5948623Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5948629Z 2025-12-04T12:21:59.5948857Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5949572Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5949577Z 2025-12-04T12:21:59.5949847Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5950075Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5950188Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5950314Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5950437Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5950658Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5950760Z graph_break [] 2025-12-04T12:21:59.5961000Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5961762Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5961880Z warnings.warn( 2025-12-04T12:21:59.5962121Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5962238Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5962378Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5962614Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5962741Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5962857Z graph_break [] 2025-12-04T12:21:59.5963078Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5963842Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5963947Z warnings.warn( 2025-12-04T12:21:59.5964169Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5964300Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5964420Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5964647Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5964787Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5965035Z graph_break [] 2025-12-04T12:21:59.5965272Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5966002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5966115Z warnings.warn( 2025-12-04T12:21:59.5966887Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-fe5a196f9e6a672e.xml - 2025-12-04T12:21:59.5967062Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5967911Z FAILED [0.2619s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5967960Z 2025-12-04T12:21:59.5968186Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5968906Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5968913Z 2025-12-04T12:21:59.5969242Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5969464Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.5969680Z ================== 1 failed, 22 deselected, 2 rerun in 5.18s =================== 2025-12-04T12:21:59.5969780Z Got exit code 1 2025-12-04T12:21:59.5969888Z Retrying single test... 2025-12-04T12:21:59.5970478Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0578f99d7159f32b.xml 2025-12-04T12:21:59.5970641Z ============================= test session starts ============================== 2025-12-04T12:21:59.5970995Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.5971217Z cachedir: .pytest_cache 2025-12-04T12:21:59.5971742Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.5971884Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.5971994Z configfile: pytest.ini 2025-12-04T12:21:59.5972586Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.5972826Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.5973627Z stepcurrent: skipping 22 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5973755Z Running 1 items in this shard 2025-12-04T12:21:59.5973763Z 2025-12-04T12:21:59.5974443Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9232s] [100%] 2025-12-04T12:21:59.5975113Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2805s] [100%] 2025-12-04T12:21:59.5975714Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2713s] [100%] 2025-12-04T12:21:59.5975719Z 2025-12-04T12:21:59.5975862Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.5976236Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5976360Z Traceback (most recent call last): 2025-12-04T12:21:59.5976838Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5977046Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5977571Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5977711Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5977907Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5977915Z 2025-12-04T12:21:59.5978130Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5978862Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5978868Z 2025-12-04T12:21:59.5979135Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5979372Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5979519Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5979634Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5979773Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5979995Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5980092Z graph_break [] 2025-12-04T12:21:59.5980319Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5981116Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5981220Z warnings.warn( 2025-12-04T12:21:59.5981592Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5981714Z Traceback (most recent call last): 2025-12-04T12:21:59.5982200Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5982355Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5982877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5983013Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5983204Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5983212Z 2025-12-04T12:21:59.5983439Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5984156Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5984162Z 2025-12-04T12:21:59.5984427Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5984661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5984771Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5984889Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5985023Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5985249Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5985361Z graph_break [] 2025-12-04T12:21:59.5985576Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5986314Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5986432Z warnings.warn( 2025-12-04T12:21:59.5986646Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5986756Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5986884Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5987104Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5987242Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5987339Z graph_break [] 2025-12-04T12:21:59.5987555Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5988333Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5988438Z warnings.warn( 2025-12-04T12:21:59.5988581Z =================================== FAILURES =================================== 2025-12-04T12:21:59.5988952Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.5989073Z Traceback (most recent call last): 2025-12-04T12:21:59.5989561Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.5989714Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.5990233Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.5990399Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.5990593Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5990599Z 2025-12-04T12:21:59.5990812Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.5991537Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.5991601Z 2025-12-04T12:21:59.5991869Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.5992097Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5992208Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5992322Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5992456Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5992676Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5992791Z graph_break [] 2025-12-04T12:21:59.5993007Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5993741Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5993852Z warnings.warn( 2025-12-04T12:21:59.5994067Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5994179Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5994307Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5994526Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5994646Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5994756Z graph_break [] 2025-12-04T12:21:59.5994968Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5995708Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5995813Z warnings.warn( 2025-12-04T12:21:59.5996027Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.5996150Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.5996261Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.5996486Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.5996623Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.5996720Z graph_break [] 2025-12-04T12:21:59.5996946Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.5997676Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.5997774Z warnings.warn( 2025-12-04T12:21:59.5998535Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0578f99d7159f32b.xml - 2025-12-04T12:21:59.5998743Z =========================== short test summary info ============================ 2025-12-04T12:21:59.5999586Z FAILED [0.2713s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.5999597Z 2025-12-04T12:21:59.5999811Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6000525Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6000531Z 2025-12-04T12:21:59.6000807Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6000984Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6001230Z ================== 1 failed, 275 deselected, 2 rerun in 5.16s ================== 2025-12-04T12:21:59.6001333Z Got exit code 1 2025-12-04T12:21:59.6001441Z Retrying single test... 2025-12-04T12:21:59.6002027Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5ba62b36c59360bd.xml 2025-12-04T12:21:59.6002219Z ============================= test session starts ============================== 2025-12-04T12:21:59.6002613Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6002735Z cachedir: .pytest_cache 2025-12-04T12:21:59.6003254Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6003390Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6003502Z configfile: pytest.ini 2025-12-04T12:21:59.6004096Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6004339Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6005385Z stepcurrent: skipping 22 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6005523Z Running 1 items in this shard 2025-12-04T12:21:59.6005530Z 2025-12-04T12:21:59.6006211Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9464s] [100%] 2025-12-04T12:21:59.6006887Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2849s] [100%] 2025-12-04T12:21:59.6007485Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2818s] [100%] 2025-12-04T12:21:59.6007491Z 2025-12-04T12:21:59.6007635Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6008003Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6008126Z Traceback (most recent call last): 2025-12-04T12:21:59.6008605Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6008778Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6009295Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6009430Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6009621Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6009626Z 2025-12-04T12:21:59.6009839Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6010644Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6010650Z 2025-12-04T12:21:59.6010922Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6011238Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6011369Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6011486Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6011620Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6011842Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6011941Z graph_break [] 2025-12-04T12:21:59.6012174Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6012962Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6013066Z warnings.warn( 2025-12-04T12:21:59.6013443Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6013565Z Traceback (most recent call last): 2025-12-04T12:21:59.6014055Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6014313Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6014830Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6014967Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6015160Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6015166Z 2025-12-04T12:21:59.6015396Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6016119Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6016125Z 2025-12-04T12:21:59.6016396Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6016628Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6016743Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6016863Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6017001Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6017221Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6017337Z graph_break [] 2025-12-04T12:21:59.6017553Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6018285Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6018404Z warnings.warn( 2025-12-04T12:21:59.6018621Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6018732Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6018863Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6019084Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6019221Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6019318Z graph_break [] 2025-12-04T12:21:59.6019532Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6020274Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6020377Z warnings.warn( 2025-12-04T12:21:59.6020525Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6020895Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6021016Z Traceback (most recent call last): 2025-12-04T12:21:59.6021533Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6021693Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6022208Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6022352Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6022544Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6022549Z 2025-12-04T12:21:59.6022760Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6023489Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6023495Z 2025-12-04T12:21:59.6023795Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6024028Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6024138Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6024254Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6024385Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6024638Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6024782Z graph_break [] 2025-12-04T12:21:59.6024995Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6025728Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6025839Z warnings.warn( 2025-12-04T12:21:59.6026049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6026158Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6026287Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6026506Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6026638Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6026733Z graph_break [] 2025-12-04T12:21:59.6026944Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6027689Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6027793Z warnings.warn( 2025-12-04T12:21:59.6028004Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6028132Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6028245Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6028468Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6028603Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6028701Z graph_break [] 2025-12-04T12:21:59.6028927Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6029653Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6029758Z warnings.warn( 2025-12-04T12:21:59.6030526Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5ba62b36c59360bd.xml - 2025-12-04T12:21:59.6030700Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6031538Z FAILED [0.2818s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6031544Z 2025-12-04T12:21:59.6031762Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6032512Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6032518Z 2025-12-04T12:21:59.6032798Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6032978Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6033195Z ================== 1 failed, 275 deselected, 2 rerun in 5.22s ================== 2025-12-04T12:21:59.6033296Z Got exit code 1 2025-12-04T12:21:59.6033927Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6034355Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.6034967Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-7361269c9ea81923.xml 2025-12-04T12:21:59.6035145Z ============================= test session starts ============================== 2025-12-04T12:21:59.6035496Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6035606Z cachedir: .pytest_cache 2025-12-04T12:21:59.6036171Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6036325Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6036434Z configfile: pytest.ini 2025-12-04T12:21:59.6037041Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6037264Z collecting ... collected 571 items / 23 deselected / 548 selected 2025-12-04T12:21:59.6037418Z stepcurrent: skipping 23 already run items. 2025-12-04T12:21:59.6037534Z Running 253 items in this shard 2025-12-04T12:21:59.6037539Z 2025-12-04T12:21:59.6038133Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_float16_cuda PASSED [3.4812s] [ 0%] 2025-12-04T12:21:59.6038817Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0927s] [ 0%] 2025-12-04T12:21:59.6039491Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2658s] [ 0%] 2025-12-04T12:21:59.6040083Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2679s] [ 0%] 2025-12-04T12:21:59.6040089Z 2025-12-04T12:21:59.6040229Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6040580Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6040715Z Traceback (most recent call last): 2025-12-04T12:21:59.6041193Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6041364Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6041886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6042012Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6042217Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6042222Z 2025-12-04T12:21:59.6042436Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6043160Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6043166Z 2025-12-04T12:21:59.6043434Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6043688Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6043815Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6043929Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6044150Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6044286Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6044386Z graph_break [] 2025-12-04T12:21:59.6044615Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6045344Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6045446Z warnings.warn( 2025-12-04T12:21:59.6045810Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6045933Z Traceback (most recent call last): 2025-12-04T12:21:59.6046442Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6046609Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6047126Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6047315Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6047533Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6047539Z 2025-12-04T12:21:59.6047757Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6048480Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6048486Z 2025-12-04T12:21:59.6048753Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6048982Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6049094Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6049210Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6049442Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6049567Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6049667Z graph_break [] 2025-12-04T12:21:59.6049895Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6050633Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6050750Z warnings.warn( 2025-12-04T12:21:59.6050961Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6051168Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6051299Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6051520Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6051643Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6051758Z graph_break [] 2025-12-04T12:21:59.6051970Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6052699Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6052820Z warnings.warn( 2025-12-04T12:21:59.6052962Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6053325Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6053447Z Traceback (most recent call last): 2025-12-04T12:21:59.6053922Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6054096Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6054662Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6054800Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6054992Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6055000Z 2025-12-04T12:21:59.6055217Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6055940Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6055946Z 2025-12-04T12:21:59.6056212Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6056444Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6056555Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6056669Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6056934Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6057060Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6057160Z graph_break [] 2025-12-04T12:21:59.6057391Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6058127Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6058295Z warnings.warn( 2025-12-04T12:21:59.6058528Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6058638Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6058767Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6058988Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6059109Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6059222Z graph_break [] 2025-12-04T12:21:59.6059436Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6060169Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6060284Z warnings.warn( 2025-12-04T12:21:59.6060495Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6060623Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6060738Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6060957Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6061089Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6061185Z graph_break [] 2025-12-04T12:21:59.6061399Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6062143Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6062245Z warnings.warn( 2025-12-04T12:21:59.6063012Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-7361269c9ea81923.xml - 2025-12-04T12:21:59.6063182Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6064005Z FAILED [0.2679s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6064011Z 2025-12-04T12:21:59.6064241Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6064954Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6064960Z 2025-12-04T12:21:59.6065240Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6065453Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6065668Z ============= 1 failed, 1 passed, 23 deselected, 2 rerun in 5.81s ============== 2025-12-04T12:21:59.6065784Z Got exit code 1 2025-12-04T12:21:59.6065891Z Retrying single test... 2025-12-04T12:21:59.6066472Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-d02da41ea1bbf1bc.xml 2025-12-04T12:21:59.6066650Z ============================= test session starts ============================== 2025-12-04T12:21:59.6066999Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6067121Z cachedir: .pytest_cache 2025-12-04T12:21:59.6067639Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6067799Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6067918Z configfile: pytest.ini 2025-12-04T12:21:59.6068512Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6068751Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6069579Z stepcurrent: skipping 24 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6069728Z Running 1 items in this shard 2025-12-04T12:21:59.6069733Z 2025-12-04T12:21:59.6070412Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9217s] [100%] 2025-12-04T12:21:59.6071083Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2705s] [100%] 2025-12-04T12:21:59.6071673Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2622s] [100%] 2025-12-04T12:21:59.6071679Z 2025-12-04T12:21:59.6071821Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6072175Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6072315Z Traceback (most recent call last): 2025-12-04T12:21:59.6072799Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6072968Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6073492Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6073620Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6073832Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6073837Z 2025-12-04T12:21:59.6074056Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6074785Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6074793Z 2025-12-04T12:21:59.6075067Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6075289Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6075416Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6075534Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6075659Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6075897Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6075998Z graph_break [] 2025-12-04T12:21:59.6076231Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6077000Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6077106Z warnings.warn( 2025-12-04T12:21:59.6077475Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6077608Z Traceback (most recent call last): 2025-12-04T12:21:59.6078085Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6078252Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6078774Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6078906Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6079098Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6079103Z 2025-12-04T12:21:59.6079346Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6080069Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6080075Z 2025-12-04T12:21:59.6080343Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6080625Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6080736Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6080849Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6080980Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6081196Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6081291Z graph_break [] 2025-12-04T12:21:59.6081519Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6082256Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6082368Z warnings.warn( 2025-12-04T12:21:59.6082583Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6082692Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6082818Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6083037Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6083156Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6083264Z graph_break [] 2025-12-04T12:21:59.6083476Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6084219Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6084318Z warnings.warn( 2025-12-04T12:21:59.6084462Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6084825Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6084944Z Traceback (most recent call last): 2025-12-04T12:21:59.6085420Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6085589Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6086107Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6086244Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6086435Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6086440Z 2025-12-04T12:21:59.6086650Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6087366Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6087402Z 2025-12-04T12:21:59.6087669Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6087892Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6088004Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6088124Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6088256Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6088475Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6088571Z graph_break [] 2025-12-04T12:21:59.6088797Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6089523Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6089636Z warnings.warn( 2025-12-04T12:21:59.6089893Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6090007Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6090132Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6090348Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6090465Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6090639Z graph_break [] 2025-12-04T12:21:59.6090852Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6091663Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6091779Z warnings.warn( 2025-12-04T12:21:59.6091989Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6092115Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6092228Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6092448Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6092585Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6092684Z graph_break [] 2025-12-04T12:21:59.6092900Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6093640Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6093746Z warnings.warn( 2025-12-04T12:21:59.6094518Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-d02da41ea1bbf1bc.xml - 2025-12-04T12:21:59.6094688Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6095508Z FAILED [0.2622s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6095514Z 2025-12-04T12:21:59.6095741Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6096451Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6096459Z 2025-12-04T12:21:59.6096736Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6096912Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6097110Z ================== 1 failed, 275 deselected, 2 rerun in 5.19s ================== 2025-12-04T12:21:59.6097217Z Got exit code 1 2025-12-04T12:21:59.6097324Z Retrying single test... 2025-12-04T12:21:59.6097910Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6092ec71815c2a43.xml 2025-12-04T12:21:59.6098071Z ============================= test session starts ============================== 2025-12-04T12:21:59.6098462Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6098582Z cachedir: .pytest_cache 2025-12-04T12:21:59.6099102Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6099230Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6099347Z configfile: pytest.ini 2025-12-04T12:21:59.6099937Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6100169Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6100966Z stepcurrent: skipping 24 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6101107Z Running 1 items in this shard 2025-12-04T12:21:59.6101112Z 2025-12-04T12:21:59.6101800Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9073s] [100%] 2025-12-04T12:21:59.6102467Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2852s] [100%] 2025-12-04T12:21:59.6103135Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2809s] [100%] 2025-12-04T12:21:59.6103140Z 2025-12-04T12:21:59.6103276Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6103627Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6103760Z Traceback (most recent call last): 2025-12-04T12:21:59.6104241Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6104412Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6105101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6105227Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6105429Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6105434Z 2025-12-04T12:21:59.6105647Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6106373Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6106378Z 2025-12-04T12:21:59.6106641Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6106859Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6106985Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6107101Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6107222Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6107454Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6107551Z graph_break [] 2025-12-04T12:21:59.6107778Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6108513Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6108612Z warnings.warn( 2025-12-04T12:21:59.6108978Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6109097Z Traceback (most recent call last): 2025-12-04T12:21:59.6109571Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6109731Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6110325Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6110461Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6110652Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6110662Z 2025-12-04T12:21:59.6110875Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6111594Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6111599Z 2025-12-04T12:21:59.6111865Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6112091Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6112244Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6112364Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6112498Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6112719Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6112814Z graph_break [] 2025-12-04T12:21:59.6113041Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6113855Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6113970Z warnings.warn( 2025-12-04T12:21:59.6114186Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6114293Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6114417Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6114637Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6114757Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6114863Z graph_break [] 2025-12-04T12:21:59.6115078Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6115821Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6115925Z warnings.warn( 2025-12-04T12:21:59.6116067Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6116431Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6116552Z Traceback (most recent call last): 2025-12-04T12:21:59.6117024Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6117188Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6117713Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6117847Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6118038Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6118043Z 2025-12-04T12:21:59.6118255Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6118984Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6118991Z 2025-12-04T12:21:59.6119254Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6119480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6119593Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6119710Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6119839Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6120058Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6120153Z graph_break [] 2025-12-04T12:21:59.6120410Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6121143Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6121258Z warnings.warn( 2025-12-04T12:21:59.6121470Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6121580Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6121707Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6121926Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6122046Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6122155Z graph_break [] 2025-12-04T12:21:59.6122370Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6123134Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6123245Z warnings.warn( 2025-12-04T12:21:59.6123458Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6123581Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6123726Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6123975Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6124112Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6124210Z graph_break [] 2025-12-04T12:21:59.6124421Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6125167Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6125267Z warnings.warn( 2025-12-04T12:21:59.6126037Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6092ec71815c2a43.xml - 2025-12-04T12:21:59.6126212Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6127027Z FAILED [0.2809s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6127036Z 2025-12-04T12:21:59.6127268Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6127974Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6127979Z 2025-12-04T12:21:59.6128262Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6128443Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6128644Z ================== 1 failed, 275 deselected, 2 rerun in 5.15s ================== 2025-12-04T12:21:59.6128755Z Got exit code 1 2025-12-04T12:21:59.6129392Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6129815Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.6130389Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-b32846f515beed1f.xml 2025-12-04T12:21:59.6130549Z ============================= test session starts ============================== 2025-12-04T12:21:59.6130909Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6131017Z cachedir: .pytest_cache 2025-12-04T12:21:59.6131641Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6132518Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6132886Z configfile: pytest.ini 2025-12-04T12:21:59.6133676Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6134622Z collecting ... collected 571 items / 25 deselected / 546 selected 2025-12-04T12:21:59.6135138Z stepcurrent: skipping 25 already run items. 2025-12-04T12:21:59.6135530Z Running 251 items in this shard 2025-12-04T12:21:59.6135743Z 2025-12-04T12:21:59.6136353Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_float16_cuda PASSED [3.5274s] [ 0%] 2025-12-04T12:21:59.6137656Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cosh_load_upcast_to_fp32_True_float16_cuda PASSED [0.3225s] [ 0%] 2025-12-04T12:21:59.6139096Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0951s] [ 1%] 2025-12-04T12:21:59.6140632Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2887s] [ 1%] 2025-12-04T12:21:59.6142060Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2853s] [ 1%] 2025-12-04T12:21:59.6142817Z 2025-12-04T12:21:59.6142974Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6143608Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6144230Z Traceback (most recent call last): 2025-12-04T12:21:59.6144944Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6145704Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6146521Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6147307Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6147753Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6148074Z 2025-12-04T12:21:59.6148285Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6149353Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6150203Z 2025-12-04T12:21:59.6150478Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6151101Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6151567Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6151903Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6152338Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6152812Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6153149Z graph_break [] 2025-12-04T12:21:59.6153520Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6154617Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6155595Z warnings.warn( 2025-12-04T12:21:59.6156117Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6156746Z Traceback (most recent call last): 2025-12-04T12:21:59.6157453Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6158226Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6159086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6159868Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6160305Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6160639Z 2025-12-04T12:21:59.6160856Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6161921Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6162769Z 2025-12-04T12:21:59.6163044Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6163661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6164134Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6164469Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6164932Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6165423Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6165764Z graph_break [] 2025-12-04T12:21:59.6166128Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6167229Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6168272Z warnings.warn( 2025-12-04T12:21:59.6168654Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6169115Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6169450Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6169889Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6170367Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6170718Z graph_break [] 2025-12-04T12:21:59.6171177Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6172289Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6173258Z warnings.warn( 2025-12-04T12:21:59.6173570Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6174238Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6174861Z Traceback (most recent call last): 2025-12-04T12:21:59.6175582Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6176359Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6177189Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6177969Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6178425Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6178747Z 2025-12-04T12:21:59.6178981Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6180060Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6180920Z 2025-12-04T12:21:59.6181191Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6181827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6182304Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6182631Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6183078Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6183563Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6183905Z graph_break [] 2025-12-04T12:21:59.6184267Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6185411Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6186387Z warnings.warn( 2025-12-04T12:21:59.6186756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6187233Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6187569Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6188004Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6188479Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6188821Z graph_break [] 2025-12-04T12:21:59.6189191Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6190303Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6191280Z warnings.warn( 2025-12-04T12:21:59.6191659Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6192122Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6192453Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6192925Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6193442Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6193770Z graph_break [] 2025-12-04T12:21:59.6194142Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6195230Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6196189Z warnings.warn( 2025-12-04T12:21:59.6197117Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-b32846f515beed1f.xml - 2025-12-04T12:21:59.6198181Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6199336Z FAILED [0.2853s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6200301Z 2025-12-04T12:21:59.6200516Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6201588Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6202455Z 2025-12-04T12:21:59.6202724Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6203314Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6203846Z ============= 1 failed, 2 passed, 25 deselected, 2 rerun in 6.24s ============== 2025-12-04T12:21:59.6204312Z Got exit code 1 2025-12-04T12:21:59.6204820Z Retrying single test... 2025-12-04T12:21:59.6205592Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-1c4f058b080f1d2f.xml 2025-12-04T12:21:59.6206464Z ============================= test session starts ============================== 2025-12-04T12:21:59.6207137Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6207748Z cachedir: .pytest_cache 2025-12-04T12:21:59.6208448Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6209236Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6209586Z configfile: pytest.ini 2025-12-04T12:21:59.6210372Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6211478Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6212652Z stepcurrent: skipping 27 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6213708Z Running 1 items in this shard 2025-12-04T12:21:59.6213923Z 2025-12-04T12:21:59.6214624Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9514s] [100%] 2025-12-04T12:21:59.6216103Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2781s] [100%] 2025-12-04T12:21:59.6217504Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2803s] [100%] 2025-12-04T12:21:59.6218284Z 2025-12-04T12:21:59.6218430Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6219076Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6219688Z Traceback (most recent call last): 2025-12-04T12:21:59.6220403Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6221280Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6222103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6222878Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6223328Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6223650Z 2025-12-04T12:21:59.6223876Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6224941Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6225809Z 2025-12-04T12:21:59.6226079Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6226714Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6227198Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6227530Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6227871Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6228334Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6228786Z graph_break [] 2025-12-04T12:21:59.6229157Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6230272Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6231256Z warnings.warn( 2025-12-04T12:21:59.6231774Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6232406Z Traceback (most recent call last): 2025-12-04T12:21:59.6233122Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6233889Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6234709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6235501Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6235950Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6236267Z 2025-12-04T12:21:59.6236484Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6237576Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6238439Z 2025-12-04T12:21:59.6238750Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6239388Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6239862Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6240215Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6240564Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6241027Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6241497Z graph_break [] 2025-12-04T12:21:59.6241881Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6242987Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6243957Z warnings.warn( 2025-12-04T12:21:59.6244388Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6244873Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6245199Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6245645Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6246142Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6246514Z graph_break [] 2025-12-04T12:21:59.6246921Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6248036Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6249021Z warnings.warn( 2025-12-04T12:21:59.6249323Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6249988Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6250622Z Traceback (most recent call last): 2025-12-04T12:21:59.6251417Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6252214Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6253035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6253839Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6254277Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6254609Z 2025-12-04T12:21:59.6254827Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6255906Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6256762Z 2025-12-04T12:21:59.6257056Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6257678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6258161Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6258503Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6258828Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6259299Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6259770Z graph_break [] 2025-12-04T12:21:59.6260148Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6261246Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6262222Z warnings.warn( 2025-12-04T12:21:59.6262610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6263077Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6263419Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6263903Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6264404Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6264737Z graph_break [] 2025-12-04T12:21:59.6265113Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6266225Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6267197Z warnings.warn( 2025-12-04T12:21:59.6267580Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6268057Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6268379Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6268822Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6269312Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6269654Z graph_break [] 2025-12-04T12:21:59.6270046Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6271146Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6272116Z warnings.warn( 2025-12-04T12:21:59.6273084Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-1c4f058b080f1d2f.xml - 2025-12-04T12:21:59.6274196Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6275343Z FAILED [0.2803s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6276303Z 2025-12-04T12:21:59.6276529Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6277610Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6278464Z 2025-12-04T12:21:59.6278730Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6279321Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6279859Z ================== 1 failed, 275 deselected, 2 rerun in 5.22s ================== 2025-12-04T12:21:59.6280295Z Got exit code 1 2025-12-04T12:21:59.6280567Z Retrying single test... 2025-12-04T12:21:59.6281340Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-22df2edbe9289ece.xml 2025-12-04T12:21:59.6282217Z ============================= test session starts ============================== 2025-12-04T12:21:59.6282863Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6283468Z cachedir: .pytest_cache 2025-12-04T12:21:59.6284182Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6284961Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6285310Z configfile: pytest.ini 2025-12-04T12:21:59.6286089Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6287054Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6288203Z stepcurrent: skipping 27 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6289255Z Running 1 items in this shard 2025-12-04T12:21:59.6289476Z 2025-12-04T12:21:59.6290160Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9642s] [100%] 2025-12-04T12:21:59.6291819Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.3002s] [100%] 2025-12-04T12:21:59.6293213Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2980s] [100%] 2025-12-04T12:21:59.6293963Z 2025-12-04T12:21:59.6294107Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6294758Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6295392Z Traceback (most recent call last): 2025-12-04T12:21:59.6296104Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6296892Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6297749Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6298542Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6298977Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6299312Z 2025-12-04T12:21:59.6299526Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6300658Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6301514Z 2025-12-04T12:21:59.6301796Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6302427Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6302918Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6303260Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6303591Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6304062Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6304696Z graph_break [] 2025-12-04T12:21:59.6305063Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6306175Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6307165Z warnings.warn( 2025-12-04T12:21:59.6307695Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6308323Z Traceback (most recent call last): 2025-12-04T12:21:59.6309047Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6309826Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6310656Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6311433Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6311889Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6312212Z 2025-12-04T12:21:59.6312444Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6313505Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6314379Z 2025-12-04T12:21:59.6314647Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6315281Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6315763Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6316091Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6316427Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6316886Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6317336Z graph_break [] 2025-12-04T12:21:59.6317785Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6318884Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6319867Z warnings.warn( 2025-12-04T12:21:59.6320234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6320714Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6321053Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6321474Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6321963Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6322310Z graph_break [] 2025-12-04T12:21:59.6322668Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6323829Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6324814Z warnings.warn( 2025-12-04T12:21:59.6325125Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6325770Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6326515Z Traceback (most recent call last): 2025-12-04T12:21:59.6327224Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6327995Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6328795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6329581Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6330031Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6330352Z 2025-12-04T12:21:59.6330570Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6331728Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6332605Z 2025-12-04T12:21:59.6332873Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6333516Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6333985Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6334334Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6334684Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6335135Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6335598Z graph_break [] 2025-12-04T12:21:59.6335973Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6337070Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6338032Z warnings.warn( 2025-12-04T12:21:59.6338414Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6338892Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6339217Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6339652Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6340136Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6340482Z graph_break [] 2025-12-04T12:21:59.6340843Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6341935Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6342906Z warnings.warn( 2025-12-04T12:21:59.6343316Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6343791Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6344128Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6344554Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6345038Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6345384Z graph_break [] 2025-12-04T12:21:59.6345754Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6346834Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6347809Z warnings.warn( 2025-12-04T12:21:59.6348731Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-22df2edbe9289ece.xml - 2025-12-04T12:21:59.6349856Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6351000Z FAILED [0.2980s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6351975Z 2025-12-04T12:21:59.6352225Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6353325Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6354176Z 2025-12-04T12:21:59.6354456Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6355040Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6355567Z ================== 1 failed, 275 deselected, 2 rerun in 5.24s ================== 2025-12-04T12:21:59.6356020Z Got exit code 1 2025-12-04T12:21:59.6356812Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6357997Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.6359128Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-27f4b428cc6733ed.xml 2025-12-04T12:21:59.6360013Z ============================= test session starts ============================== 2025-12-04T12:21:59.6360659Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6361264Z cachedir: .pytest_cache 2025-12-04T12:21:59.6361973Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6362761Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6363106Z configfile: pytest.ini 2025-12-04T12:21:59.6363884Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6364846Z collecting ... collected 571 items / 28 deselected / 543 selected 2025-12-04T12:21:59.6365340Z stepcurrent: skipping 28 already run items. 2025-12-04T12:21:59.6365735Z Running 248 items in this shard 2025-12-04T12:21:59.6365963Z 2025-12-04T12:21:59.6366641Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9380s] [ 0%] 2025-12-04T12:21:59.6368134Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2676s] [ 0%] 2025-12-04T12:21:59.6369527Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2642s] [ 0%] 2025-12-04T12:21:59.6370246Z 2025-12-04T12:21:59.6370425Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6371164Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6371799Z Traceback (most recent call last): 2025-12-04T12:21:59.6372512Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6373296Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6374119Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6374913Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6375351Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6375691Z 2025-12-04T12:21:59.6375907Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6377019Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6377866Z 2025-12-04T12:21:59.6378148Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6378771Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6379315Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6379652Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6379978Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6380438Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6380899Z graph_break [] 2025-12-04T12:21:59.6381275Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6382365Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6383341Z warnings.warn( 2025-12-04T12:21:59.6383861Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6384471Z Traceback (most recent call last): 2025-12-04T12:21:59.6385186Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6385968Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6386788Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6387557Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6388004Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6388325Z 2025-12-04T12:21:59.6388553Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6389604Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6390457Z 2025-12-04T12:21:59.6390722Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6391356Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6391831Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6392160Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6392502Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6392960Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6393411Z graph_break [] 2025-12-04T12:21:59.6393788Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6394891Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6395868Z warnings.warn( 2025-12-04T12:21:59.6396239Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6396753Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6397098Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6397523Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6398010Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6398365Z graph_break [] 2025-12-04T12:21:59.6398739Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6399821Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6400800Z warnings.warn( 2025-12-04T12:21:59.6401112Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6401746Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6402406Z Traceback (most recent call last): 2025-12-04T12:21:59.6403124Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6403893Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6404886Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6405781Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6406231Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6406554Z 2025-12-04T12:21:59.6406770Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6407836Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6408694Z 2025-12-04T12:21:59.6408960Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6409595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6410060Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6410397Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6410737Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6411286Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6411743Z graph_break [] 2025-12-04T12:21:59.6412114Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6413216Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6414180Z warnings.warn( 2025-12-04T12:21:59.6414563Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6415035Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6415360Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6415798Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6416283Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6416626Z graph_break [] 2025-12-04T12:21:59.6416985Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6418083Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6419067Z warnings.warn( 2025-12-04T12:21:59.6419437Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6419915Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6420251Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6420690Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6421157Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6421500Z graph_break [] 2025-12-04T12:21:59.6421944Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6423028Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6424003Z warnings.warn( 2025-12-04T12:21:59.6424930Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-27f4b428cc6733ed.xml - 2025-12-04T12:21:59.6426003Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6427149Z FAILED [0.2642s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6428108Z 2025-12-04T12:21:59.6428328Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6429464Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6430313Z 2025-12-04T12:21:59.6430599Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6431184Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6431775Z ================== 1 failed, 28 deselected, 2 rerun in 5.16s =================== 2025-12-04T12:21:59.6432227Z Got exit code 1 2025-12-04T12:21:59.6432502Z Retrying single test... 2025-12-04T12:21:59.6433255Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-be6445d517f90f73.xml 2025-12-04T12:21:59.6434141Z ============================= test session starts ============================== 2025-12-04T12:21:59.6434804Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6435403Z cachedir: .pytest_cache 2025-12-04T12:21:59.6436126Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6436917Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6437277Z configfile: pytest.ini 2025-12-04T12:21:59.6438049Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6439013Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6440172Z stepcurrent: skipping 28 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6441210Z Running 1 items in this shard 2025-12-04T12:21:59.6441434Z 2025-12-04T12:21:59.6442110Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9625s] [100%] 2025-12-04T12:21:59.6443603Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2850s] [100%] 2025-12-04T12:21:59.6445005Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2830s] [100%] 2025-12-04T12:21:59.6445733Z 2025-12-04T12:21:59.6445891Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6446529Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6447153Z Traceback (most recent call last): 2025-12-04T12:21:59.6447860Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6448625Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6449501Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6450289Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6450735Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6451143Z 2025-12-04T12:21:59.6451360Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6452427Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6453289Z 2025-12-04T12:21:59.6453558Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6454191Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6454654Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6454994Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6455378Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6455830Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6456294Z graph_break [] 2025-12-04T12:21:59.6456666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6457763Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6458795Z warnings.warn( 2025-12-04T12:21:59.6459314Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6459938Z Traceback (most recent call last): 2025-12-04T12:21:59.6460641Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6461418Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6462232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6463024Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6463460Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6463791Z 2025-12-04T12:21:59.6464008Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6465081Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6465932Z 2025-12-04T12:21:59.6466212Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6466827Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6467301Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6467638Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6467963Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6468431Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6468894Z graph_break [] 2025-12-04T12:21:59.6469259Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6470360Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6471341Z warnings.warn( 2025-12-04T12:21:59.6471723Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6472184Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6472518Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6472958Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6473434Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6473773Z graph_break [] 2025-12-04T12:21:59.6474141Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6475290Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6476259Z warnings.warn( 2025-12-04T12:21:59.6476565Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6476918Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6477059Z Traceback (most recent call last): 2025-12-04T12:21:59.6477531Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6477700Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6478217Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6478341Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6478581Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6478586Z 2025-12-04T12:21:59.6478804Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6479516Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6479562Z 2025-12-04T12:21:59.6479830Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6480075Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6480200Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6480314Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6480434Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6480666Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6480762Z graph_break [] 2025-12-04T12:21:59.6480977Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6481728Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6481831Z warnings.warn( 2025-12-04T12:21:59.6482064Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6482178Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6482293Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6482525Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6482652Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6482748Z graph_break [] 2025-12-04T12:21:59.6482980Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6483707Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6483824Z warnings.warn( 2025-12-04T12:21:59.6484038Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6484152Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6484281Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6484496Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6484618Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6492135Z graph_break [] 2025-12-04T12:21:59.6492484Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6493245Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6493361Z warnings.warn( 2025-12-04T12:21:59.6494123Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-be6445d517f90f73.xml - 2025-12-04T12:21:59.6494323Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6495265Z FAILED [0.2830s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6495276Z 2025-12-04T12:21:59.6495498Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6496237Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6496244Z 2025-12-04T12:21:59.6496512Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6496707Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6496908Z ================== 1 failed, 275 deselected, 2 rerun in 5.24s ================== 2025-12-04T12:21:59.6497008Z Got exit code 1 2025-12-04T12:21:59.6497170Z Retrying single test... 2025-12-04T12:21:59.6497763Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-4e185a64569bb6ed.xml 2025-12-04T12:21:59.6497943Z ============================= test session starts ============================== 2025-12-04T12:21:59.6498302Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6498492Z cachedir: .pytest_cache 2025-12-04T12:21:59.6499033Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6499166Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6499280Z configfile: pytest.ini 2025-12-04T12:21:59.6499888Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6500120Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6500936Z stepcurrent: skipping 28 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6501056Z Running 1 items in this shard 2025-12-04T12:21:59.6501062Z 2025-12-04T12:21:59.6501739Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9932s] [100%] 2025-12-04T12:21:59.6502426Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2862s] [100%] 2025-12-04T12:21:59.6503014Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2832s] [100%] 2025-12-04T12:21:59.6503019Z 2025-12-04T12:21:59.6503179Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6503536Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6503666Z Traceback (most recent call last): 2025-12-04T12:21:59.6504160Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6504319Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6505056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6505180Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6505368Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6505374Z 2025-12-04T12:21:59.6505602Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6506316Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6506322Z 2025-12-04T12:21:59.6506777Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6507000Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6507113Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6507242Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6507368Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6507588Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6507700Z graph_break [] 2025-12-04T12:21:59.6507916Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6508664Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6508767Z warnings.warn( 2025-12-04T12:21:59.6509163Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6509300Z Traceback (most recent call last): 2025-12-04T12:21:59.6509778Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6509935Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6510518Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6510682Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6510890Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6510896Z 2025-12-04T12:21:59.6511111Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6511823Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6511828Z 2025-12-04T12:21:59.6512114Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6512336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6512461Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6512579Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6512700Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6512939Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6513036Z graph_break [] 2025-12-04T12:21:59.6513250Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6513999Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6514101Z warnings.warn( 2025-12-04T12:21:59.6514327Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6514438Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6514551Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6514783Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6514907Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6515005Z graph_break [] 2025-12-04T12:21:59.6515231Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6515963Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6516063Z warnings.warn( 2025-12-04T12:21:59.6516217Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6516569Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6516702Z Traceback (most recent call last): 2025-12-04T12:21:59.6517181Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6517364Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6517898Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6518024Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6518233Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6518240Z 2025-12-04T12:21:59.6518456Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6519170Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6519176Z 2025-12-04T12:21:59.6519456Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6519671Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6519823Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6519941Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6520063Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6520294Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6520393Z graph_break [] 2025-12-04T12:21:59.6520638Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6521415Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6521517Z warnings.warn( 2025-12-04T12:21:59.6521729Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6521851Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6521965Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6522194Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6522318Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6522415Z graph_break [] 2025-12-04T12:21:59.6522641Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6523367Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6523471Z warnings.warn( 2025-12-04T12:21:59.6523695Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6523805Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6523930Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6524147Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6524265Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6524375Z graph_break [] 2025-12-04T12:21:59.6524585Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6525322Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6525434Z warnings.warn( 2025-12-04T12:21:59.6526186Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-4e185a64569bb6ed.xml - 2025-12-04T12:21:59.6526372Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6527195Z FAILED [0.2832s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6527201Z 2025-12-04T12:21:59.6527416Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6528144Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6528150Z 2025-12-04T12:21:59.6528444Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6528635Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6528835Z ================== 1 failed, 275 deselected, 2 rerun in 5.29s ================== 2025-12-04T12:21:59.6528941Z Got exit code 1 2025-12-04T12:21:59.6529584Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6529992Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.6530570Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-4398219f98b859ae.xml 2025-12-04T12:21:59.6530762Z ============================= test session starts ============================== 2025-12-04T12:21:59.6531210Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6531339Z cachedir: .pytest_cache 2025-12-04T12:21:59.6531858Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6532017Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6532170Z configfile: pytest.ini 2025-12-04T12:21:59.6532764Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6533001Z collecting ... collected 571 items / 29 deselected / 542 selected 2025-12-04T12:21:59.6533143Z stepcurrent: skipping 29 already run items. 2025-12-04T12:21:59.6533259Z Running 247 items in this shard 2025-12-04T12:21:59.6533264Z 2025-12-04T12:21:59.6533871Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_float16_cuda PASSED [3.4686s] [ 0%] 2025-12-04T12:21:59.6534462Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erfc_load_upcast_to_fp32_False_float16_cuda PASSED [0.3278s] [ 0%] 2025-12-04T12:21:59.6535067Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erfinv_load_upcast_to_fp32_True_float16_cuda PASSED [0.3282s] [ 1%] 2025-12-04T12:21:59.6535750Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.1863s] [ 1%] 2025-12-04T12:21:59.6536427Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.3081s] [ 1%] 2025-12-04T12:21:59.6537027Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.3023s] [ 1%] 2025-12-04T12:21:59.6537032Z 2025-12-04T12:21:59.6537174Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6537548Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6537670Z Traceback (most recent call last): 2025-12-04T12:21:59.6538145Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6538320Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6538842Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6538982Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6539174Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6539180Z 2025-12-04T12:21:59.6539396Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6540164Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6540170Z 2025-12-04T12:21:59.6540445Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6540673Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6540788Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6540910Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6541142Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6541265Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6541368Z graph_break [] 2025-12-04T12:21:59.6541597Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6542331Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6542476Z warnings.warn( 2025-12-04T12:21:59.6542839Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6542961Z Traceback (most recent call last): 2025-12-04T12:21:59.6543446Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6543629Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6544193Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6544329Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6544518Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6544523Z 2025-12-04T12:21:59.6544754Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6545473Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6545479Z 2025-12-04T12:21:59.6545747Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6545977Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6546088Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6546221Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6546447Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6546569Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6546684Z graph_break [] 2025-12-04T12:21:59.6546898Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6547636Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6547754Z warnings.warn( 2025-12-04T12:21:59.6547972Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6548099Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6548212Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6548429Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6548562Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6548666Z graph_break [] 2025-12-04T12:21:59.6548881Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6549628Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6549731Z warnings.warn( 2025-12-04T12:21:59.6549871Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6550246Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6550373Z Traceback (most recent call last): 2025-12-04T12:21:59.6550893Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6551048Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6551565Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6551706Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6551894Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6551899Z 2025-12-04T12:21:59.6552129Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6552851Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6552857Z 2025-12-04T12:21:59.6553124Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6553387Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6553503Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6553632Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6553852Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6553974Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6554117Z graph_break [] 2025-12-04T12:21:59.6554359Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6555092Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6555209Z warnings.warn( 2025-12-04T12:21:59.6555425Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6555533Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6555658Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6555877Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6556011Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6556110Z graph_break [] 2025-12-04T12:21:59.6556320Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6557070Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6557173Z warnings.warn( 2025-12-04T12:21:59.6557383Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6557502Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6557615Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6557844Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6557967Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6558064Z graph_break [] 2025-12-04T12:21:59.6558288Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6559018Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6559118Z warnings.warn( 2025-12-04T12:21:59.6559878Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-4398219f98b859ae.xml - 2025-12-04T12:21:59.6560052Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6560898Z FAILED [0.3023s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6560904Z 2025-12-04T12:21:59.6561117Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6561873Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6561893Z 2025-12-04T12:21:59.6562163Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6562342Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6562577Z ============= 1 failed, 3 passed, 29 deselected, 2 rerun in 6.62s ============== 2025-12-04T12:21:59.6562682Z Got exit code 1 2025-12-04T12:21:59.6562788Z Retrying single test... 2025-12-04T12:21:59.6563382Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f57aaf8d7801f190.xml 2025-12-04T12:21:59.6563546Z ============================= test session starts ============================== 2025-12-04T12:21:59.6563906Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6564046Z cachedir: .pytest_cache 2025-12-04T12:21:59.6564574Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6564716Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6564825Z configfile: pytest.ini 2025-12-04T12:21:59.6565415Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6565711Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6566515Z stepcurrent: skipping 32 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6566641Z Running 1 items in this shard 2025-12-04T12:21:59.6566646Z 2025-12-04T12:21:59.6567331Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9355s] [100%] 2025-12-04T12:21:59.6568014Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2664s] [100%] 2025-12-04T12:21:59.6568617Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2609s] [100%] 2025-12-04T12:21:59.6568626Z 2025-12-04T12:21:59.6568765Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6569137Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6569260Z Traceback (most recent call last): 2025-12-04T12:21:59.6569737Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6569907Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6570431Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6570564Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6570755Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6570761Z 2025-12-04T12:21:59.6570976Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6571805Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6571811Z 2025-12-04T12:21:59.6572077Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6572309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6572422Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6572538Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6572678Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6572901Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6573040Z graph_break [] 2025-12-04T12:21:59.6573272Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6574014Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6574133Z warnings.warn( 2025-12-04T12:21:59.6574493Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6574615Z Traceback (most recent call last): 2025-12-04T12:21:59.6575103Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6575257Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6575807Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6575952Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6576146Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6576151Z 2025-12-04T12:21:59.6576379Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6577097Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6577159Z 2025-12-04T12:21:59.6577427Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6577656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6577767Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6577896Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6578015Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6578236Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6578348Z graph_break [] 2025-12-04T12:21:59.6578562Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6579296Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6579410Z warnings.warn( 2025-12-04T12:21:59.6579624Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6579747Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6579858Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6580077Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6580212Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6580307Z graph_break [] 2025-12-04T12:21:59.6580519Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6581263Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6581362Z warnings.warn( 2025-12-04T12:21:59.6581516Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6581878Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6582002Z Traceback (most recent call last): 2025-12-04T12:21:59.6582484Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6582641Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6583155Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6583289Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6583482Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6583489Z 2025-12-04T12:21:59.6583743Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6584464Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6584470Z 2025-12-04T12:21:59.6584737Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6584965Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6585075Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6585203Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6585321Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6585538Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6585646Z graph_break [] 2025-12-04T12:21:59.6585857Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6586619Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6586734Z warnings.warn( 2025-12-04T12:21:59.6586948Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6587115Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6587258Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6587476Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6587610Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6587707Z graph_break [] 2025-12-04T12:21:59.6587918Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6588659Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6588760Z warnings.warn( 2025-12-04T12:21:59.6588973Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6589102Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6589216Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6589452Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6589573Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6589677Z graph_break [] 2025-12-04T12:21:59.6589907Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6590640Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6590742Z warnings.warn( 2025-12-04T12:21:59.6591511Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f57aaf8d7801f190.xml - 2025-12-04T12:21:59.6591683Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6592531Z FAILED [0.2609s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6592537Z 2025-12-04T12:21:59.6592754Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6593475Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6593495Z 2025-12-04T12:21:59.6593759Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6593934Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6594147Z ================== 1 failed, 275 deselected, 2 rerun in 5.15s ================== 2025-12-04T12:21:59.6594245Z Got exit code 1 2025-12-04T12:21:59.6594354Z Retrying single test... 2025-12-04T12:21:59.6594980Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-d05762cd54a3f5f1.xml 2025-12-04T12:21:59.6595143Z ============================= test session starts ============================== 2025-12-04T12:21:59.6595503Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6595615Z cachedir: .pytest_cache 2025-12-04T12:21:59.6596131Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6596269Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6596377Z configfile: pytest.ini 2025-12-04T12:21:59.6596968Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6597240Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6598044Z stepcurrent: skipping 32 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6598170Z Running 1 items in this shard 2025-12-04T12:21:59.6598175Z 2025-12-04T12:21:59.6598893Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9616s] [100%] 2025-12-04T12:21:59.6599603Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2866s] [100%] 2025-12-04T12:21:59.6600210Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2850s] [100%] 2025-12-04T12:21:59.6600216Z 2025-12-04T12:21:59.6600356Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6600736Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6600859Z Traceback (most recent call last): 2025-12-04T12:21:59.6601330Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6601502Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6602029Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6602163Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6602354Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6602359Z 2025-12-04T12:21:59.6602577Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6603304Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6603309Z 2025-12-04T12:21:59.6603578Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6603807Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6603918Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6604035Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6604169Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6604391Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6604645Z graph_break [] 2025-12-04T12:21:59.6604875Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6605611Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6605728Z warnings.warn( 2025-12-04T12:21:59.6606094Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6606279Z Traceback (most recent call last): 2025-12-04T12:21:59.6606767Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6606923Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6607465Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6607599Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6607792Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6607798Z 2025-12-04T12:21:59.6608027Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6608749Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6608755Z 2025-12-04T12:21:59.6609081Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6609305Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6609425Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6609555Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6609720Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6609985Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6610106Z graph_break [] 2025-12-04T12:21:59.6610324Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6611153Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6611273Z warnings.warn( 2025-12-04T12:21:59.6611492Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6611622Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6611742Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6611962Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6612099Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6612200Z graph_break [] 2025-12-04T12:21:59.6612416Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6613166Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6613267Z warnings.warn( 2025-12-04T12:21:59.6613425Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6613789Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6613909Z Traceback (most recent call last): 2025-12-04T12:21:59.6614399Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6614554Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6615072Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6615209Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6615400Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6615405Z 2025-12-04T12:21:59.6615629Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6616350Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6616355Z 2025-12-04T12:21:59.6616616Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6616844Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6616955Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6617120Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6617239Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6617455Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6617568Z graph_break [] 2025-12-04T12:21:59.6617781Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6618516Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6618630Z warnings.warn( 2025-12-04T12:21:59.6618842Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6618960Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6619074Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6619326Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6619458Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6619557Z graph_break [] 2025-12-04T12:21:59.6619771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6620513Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6620675Z warnings.warn( 2025-12-04T12:21:59.6620898Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6621011Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6621123Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6621348Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6621468Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6621564Z graph_break [] 2025-12-04T12:21:59.6621785Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6622516Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6622615Z warnings.warn( 2025-12-04T12:21:59.6623380Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-d05762cd54a3f5f1.xml - 2025-12-04T12:21:59.6623553Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6624394Z FAILED [0.2850s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6624400Z 2025-12-04T12:21:59.6624618Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6625349Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6625354Z 2025-12-04T12:21:59.6625619Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6625795Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6626004Z ================== 1 failed, 275 deselected, 2 rerun in 5.27s ================== 2025-12-04T12:21:59.6626107Z Got exit code 1 2025-12-04T12:21:59.6626739Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6627161Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.6627732Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6280cf62535687d5.xml 2025-12-04T12:21:59.6627909Z ============================= test session starts ============================== 2025-12-04T12:21:59.6628842Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6628961Z cachedir: .pytest_cache 2025-12-04T12:21:59.6629502Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6629629Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6629757Z configfile: pytest.ini 2025-12-04T12:21:59.6630345Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6630568Z collecting ... collected 571 items / 33 deselected / 538 selected 2025-12-04T12:21:59.6630726Z stepcurrent: skipping 33 already run items. 2025-12-04T12:21:59.6630841Z Running 243 items in this shard 2025-12-04T12:21:59.6630846Z 2025-12-04T12:21:59.6631575Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9472s] [ 0%] 2025-12-04T12:21:59.6632261Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.3007s] [ 0%] 2025-12-04T12:21:59.6632845Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.3177s] [ 0%] 2025-12-04T12:21:59.6632911Z 2025-12-04T12:21:59.6633066Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6633423Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6633560Z Traceback (most recent call last): 2025-12-04T12:21:59.6634037Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6634191Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6634729Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6634849Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6635045Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6635051Z 2025-12-04T12:21:59.6635278Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6636001Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6636007Z 2025-12-04T12:21:59.6636286Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6636503Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6636616Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6636740Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6636861Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6637088Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6637198Z graph_break [] 2025-12-04T12:21:59.6637413Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6638157Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6638263Z warnings.warn( 2025-12-04T12:21:59.6638619Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6638749Z Traceback (most recent call last): 2025-12-04T12:21:59.6639220Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6639388Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6639905Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6640062Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6640263Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6640269Z 2025-12-04T12:21:59.6640479Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6641192Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6641211Z 2025-12-04T12:21:59.6641476Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6641694Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6641817Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6641930Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6642047Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6642308Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6642406Z graph_break [] 2025-12-04T12:21:59.6642628Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6643376Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6643532Z warnings.warn( 2025-12-04T12:21:59.6643757Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6643862Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6643975Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6644202Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6644323Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6644421Z graph_break [] 2025-12-04T12:21:59.6644647Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6645377Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6645491Z warnings.warn( 2025-12-04T12:21:59.6645631Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6645990Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6646130Z Traceback (most recent call last): 2025-12-04T12:21:59.6646597Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6646749Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6647279Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6647402Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6647607Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6647612Z 2025-12-04T12:21:59.6647826Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6648542Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6648550Z 2025-12-04T12:21:59.6648831Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6649044Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6649167Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6649278Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6649395Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6649626Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6649724Z graph_break [] 2025-12-04T12:21:59.6649936Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6650712Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6650811Z warnings.warn( 2025-12-04T12:21:59.6651126Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6651243Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6651359Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6651590Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6651711Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6651808Z graph_break [] 2025-12-04T12:21:59.6652036Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6652768Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6652924Z warnings.warn( 2025-12-04T12:21:59.6653138Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6653245Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6653370Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6653591Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6653741Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6653882Z graph_break [] 2025-12-04T12:21:59.6654099Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6654825Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6654940Z warnings.warn( 2025-12-04T12:21:59.6655692Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6280cf62535687d5.xml - 2025-12-04T12:21:59.6655881Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6656707Z FAILED [0.3177s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6656713Z 2025-12-04T12:21:59.6656946Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6657662Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6657668Z 2025-12-04T12:21:59.6657931Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6658129Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6658329Z ================== 1 failed, 33 deselected, 2 rerun in 5.29s =================== 2025-12-04T12:21:59.6658429Z Got exit code 1 2025-12-04T12:21:59.6658549Z Retrying single test... 2025-12-04T12:21:59.6659128Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-2ffc650d52753cd8.xml 2025-12-04T12:21:59.6659302Z ============================= test session starts ============================== 2025-12-04T12:21:59.6659656Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6659768Z cachedir: .pytest_cache 2025-12-04T12:21:59.6660302Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6660425Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6660532Z configfile: pytest.ini 2025-12-04T12:21:59.6661137Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6661366Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6662207Z stepcurrent: skipping 33 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6662320Z Running 1 items in this shard 2025-12-04T12:21:59.6662327Z 2025-12-04T12:21:59.6663007Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9274s] [100%] 2025-12-04T12:21:59.6663692Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2720s] [100%] 2025-12-04T12:21:59.6664278Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2685s] [100%] 2025-12-04T12:21:59.6664284Z 2025-12-04T12:21:59.6664464Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6664825Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6664957Z Traceback (most recent call last): 2025-12-04T12:21:59.6665429Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6665611Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6666177Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6666302Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6666493Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6666498Z 2025-12-04T12:21:59.6666719Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6667432Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6667438Z 2025-12-04T12:21:59.6667719Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6667935Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6668045Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6668174Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6668295Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6668527Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6668622Z graph_break [] 2025-12-04T12:21:59.6668835Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6669582Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6669679Z warnings.warn( 2025-12-04T12:21:59.6670040Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6670174Z Traceback (most recent call last): 2025-12-04T12:21:59.6670643Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6670808Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6671330Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6671451Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6671654Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6671660Z 2025-12-04T12:21:59.6671873Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6672583Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6672605Z 2025-12-04T12:21:59.6672924Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6673139Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6673258Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6673373Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6673494Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6673732Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6673832Z graph_break [] 2025-12-04T12:21:59.6674044Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6674787Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6674889Z warnings.warn( 2025-12-04T12:21:59.6675143Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6675254Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6675371Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6675603Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6675724Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6675816Z graph_break [] 2025-12-04T12:21:59.6676065Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6676898Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6677010Z warnings.warn( 2025-12-04T12:21:59.6677152Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6677507Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6677637Z Traceback (most recent call last): 2025-12-04T12:21:59.6678112Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6678268Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6678798Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6678924Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6679127Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6679132Z 2025-12-04T12:21:59.6679345Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6680059Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6680078Z 2025-12-04T12:21:59.6680349Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6680567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6680691Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6680804Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6680923Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6681154Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6681254Z graph_break [] 2025-12-04T12:21:59.6681468Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6682214Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6682315Z warnings.warn( 2025-12-04T12:21:59.6682538Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6682646Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6682759Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6682989Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6683109Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6683236Z graph_break [] 2025-12-04T12:21:59.6683458Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6684183Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6684302Z warnings.warn( 2025-12-04T12:21:59.6684510Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6684618Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6684743Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6684954Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6685073Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6685182Z graph_break [] 2025-12-04T12:21:59.6685418Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6686144Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6686254Z warnings.warn( 2025-12-04T12:21:59.6687007Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-2ffc650d52753cd8.xml - 2025-12-04T12:21:59.6687244Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6688060Z FAILED [0.2685s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6688066Z 2025-12-04T12:21:59.6688292Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6689003Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6689011Z 2025-12-04T12:21:59.6689277Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6689461Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6689660Z ================== 1 failed, 275 deselected, 2 rerun in 5.16s ================== 2025-12-04T12:21:59.6689762Z Got exit code 1 2025-12-04T12:21:59.6689885Z Retrying single test... 2025-12-04T12:21:59.6690461Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-a1f7bfbb5ac9a80e.xml 2025-12-04T12:21:59.6690634Z ============================= test session starts ============================== 2025-12-04T12:21:59.6690984Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6691171Z cachedir: .pytest_cache 2025-12-04T12:21:59.6691710Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6691832Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6691935Z configfile: pytest.ini 2025-12-04T12:21:59.6692539Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6692769Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6693578Z stepcurrent: skipping 33 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6693693Z Running 1 items in this shard 2025-12-04T12:21:59.6693697Z 2025-12-04T12:21:59.6694392Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9420s] [100%] 2025-12-04T12:21:59.6695104Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2697s] [100%] 2025-12-04T12:21:59.6695688Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2596s] [100%] 2025-12-04T12:21:59.6695696Z 2025-12-04T12:21:59.6695848Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6696205Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6696337Z Traceback (most recent call last): 2025-12-04T12:21:59.6696811Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6696965Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6697530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6697658Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6697845Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6697850Z 2025-12-04T12:21:59.6698072Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6698786Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6698849Z 2025-12-04T12:21:59.6699127Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6699342Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6699454Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6699579Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6699697Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6699931Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6700027Z graph_break [] 2025-12-04T12:21:59.6700244Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6700985Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6701086Z warnings.warn( 2025-12-04T12:21:59.6701440Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6701574Z Traceback (most recent call last): 2025-12-04T12:21:59.6702044Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6702210Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6702727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6702851Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6703052Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6703058Z 2025-12-04T12:21:59.6703268Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6703980Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6704002Z 2025-12-04T12:21:59.6704270Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6704643Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6704761Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6704875Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6704991Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6705222Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6705322Z graph_break [] 2025-12-04T12:21:59.6705610Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6706357Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6706459Z warnings.warn( 2025-12-04T12:21:59.6706693Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6706809Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6706924Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6707162Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6707284Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6707382Z graph_break [] 2025-12-04T12:21:59.6707610Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6708384Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6708505Z warnings.warn( 2025-12-04T12:21:59.6708649Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6709008Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6709189Z Traceback (most recent call last): 2025-12-04T12:21:59.6709720Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6709878Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6710413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6710537Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6710742Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6710748Z 2025-12-04T12:21:59.6710967Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6711682Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6711702Z 2025-12-04T12:21:59.6711973Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6712193Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6712320Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6712435Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6712556Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6712791Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6712894Z graph_break [] 2025-12-04T12:21:59.6713109Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6713856Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6713962Z warnings.warn( 2025-12-04T12:21:59.6714195Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6714309Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6714421Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6714659Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6714781Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6714876Z graph_break [] 2025-12-04T12:21:59.6715104Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6715836Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6715948Z warnings.warn( 2025-12-04T12:21:59.6716165Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6716280Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6716438Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6716662Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6716789Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6716900Z graph_break [] 2025-12-04T12:21:59.6717119Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6717863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6717965Z warnings.warn( 2025-12-04T12:21:59.6718719Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-a1f7bfbb5ac9a80e.xml - 2025-12-04T12:21:59.6718905Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6719766Z FAILED [0.2596s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6719772Z 2025-12-04T12:21:59.6720001Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6720745Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6720779Z 2025-12-04T12:21:59.6721048Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6721245Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6721445Z ================== 1 failed, 275 deselected, 2 rerun in 5.16s ================== 2025-12-04T12:21:59.6721559Z Got exit code 1 2025-12-04T12:21:59.6722198Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6722615Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.6723204Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-894466c6e117c92d.xml 2025-12-04T12:21:59.6723374Z ============================= test session starts ============================== 2025-12-04T12:21:59.6723723Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6723843Z cachedir: .pytest_cache 2025-12-04T12:21:59.6724367Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6724506Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6724615Z configfile: pytest.ini 2025-12-04T12:21:59.6725213Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6725453Z collecting ... collected 571 items / 34 deselected / 537 selected 2025-12-04T12:21:59.6725593Z stepcurrent: skipping 34 already run items. 2025-12-04T12:21:59.6725707Z Running 242 items in this shard 2025-12-04T12:21:59.6725726Z 2025-12-04T12:21:59.6726312Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp_load_upcast_to_fp32_True_float16_cuda PASSED [3.4857s] [ 0%] 2025-12-04T12:21:59.6727004Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0969s] [ 0%] 2025-12-04T12:21:59.6727702Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2904s] [ 0%] 2025-12-04T12:21:59.6728337Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2900s] [ 0%] 2025-12-04T12:21:59.6728343Z 2025-12-04T12:21:59.6728497Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6728865Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6728990Z Traceback (most recent call last): 2025-12-04T12:21:59.6729484Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6729637Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6730169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6730292Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6730481Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6730486Z 2025-12-04T12:21:59.6730741Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6731562Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6731568Z 2025-12-04T12:21:59.6731849Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6732135Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6732246Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6732375Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6732595Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6732719Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6732830Z graph_break [] 2025-12-04T12:21:59.6733044Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6733782Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6733897Z warnings.warn( 2025-12-04T12:21:59.6734266Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6734406Z Traceback (most recent call last): 2025-12-04T12:21:59.6734885Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6735042Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6735575Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6735697Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6735889Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6735907Z 2025-12-04T12:21:59.6736118Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6736848Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6736854Z 2025-12-04T12:21:59.6737158Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6737373Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6737487Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6737616Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6737837Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6737974Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6738071Z graph_break [] 2025-12-04T12:21:59.6738285Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6739031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6739136Z warnings.warn( 2025-12-04T12:21:59.6739381Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6739507Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6739618Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6739855Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6739978Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6740079Z graph_break [] 2025-12-04T12:21:59.6740303Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6741034Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6741135Z warnings.warn( 2025-12-04T12:21:59.6741288Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6741689Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6741831Z Traceback (most recent call last): 2025-12-04T12:21:59.6742306Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6742462Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6743054Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6743178Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6743372Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6743392Z 2025-12-04T12:21:59.6743608Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6744334Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6744342Z 2025-12-04T12:21:59.6744627Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6744842Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6744951Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6745076Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6745296Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6745430Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6745526Z graph_break [] 2025-12-04T12:21:59.6745738Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6746479Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6746580Z warnings.warn( 2025-12-04T12:21:59.6746793Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6746913Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6747028Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6747258Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6747378Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6747479Z graph_break [] 2025-12-04T12:21:59.6747706Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6748433Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6748534Z warnings.warn( 2025-12-04T12:21:59.6748761Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6748872Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6748992Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6749224Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6749346Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6749490Z graph_break [] 2025-12-04T12:21:59.6749706Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6750434Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6750550Z warnings.warn( 2025-12-04T12:21:59.6751303Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-894466c6e117c92d.xml - 2025-12-04T12:21:59.6751484Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6752321Z FAILED [0.2900s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6752328Z 2025-12-04T12:21:59.6752576Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6753319Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6753325Z 2025-12-04T12:21:59.6753590Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6753862Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6754076Z ============= 1 failed, 1 passed, 34 deselected, 2 rerun in 5.88s ============== 2025-12-04T12:21:59.6754175Z Got exit code 1 2025-12-04T12:21:59.6754295Z Retrying single test... 2025-12-04T12:21:59.6754867Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-35058135bb46dcbf.xml 2025-12-04T12:21:59.6755029Z ============================= test session starts ============================== 2025-12-04T12:21:59.6755399Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6755508Z cachedir: .pytest_cache 2025-12-04T12:21:59.6756044Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6756170Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6756281Z configfile: pytest.ini 2025-12-04T12:21:59.6756884Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6757112Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6757936Z stepcurrent: skipping 35 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6758049Z Running 1 items in this shard 2025-12-04T12:21:59.6758056Z 2025-12-04T12:21:59.6758744Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9885s] [100%] 2025-12-04T12:21:59.6759441Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2987s] [100%] 2025-12-04T12:21:59.6760044Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2927s] [100%] 2025-12-04T12:21:59.6760050Z 2025-12-04T12:21:59.6760200Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6760566Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6760687Z Traceback (most recent call last): 2025-12-04T12:21:59.6761178Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6761369Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6761901Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6762024Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6762220Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6762227Z 2025-12-04T12:21:59.6762455Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6763183Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6763189Z 2025-12-04T12:21:59.6763465Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6763680Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6763824Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6763955Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6764080Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6764302Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6764418Z graph_break [] 2025-12-04T12:21:59.6764636Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6765429Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6765546Z warnings.warn( 2025-12-04T12:21:59.6765915Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6766053Z Traceback (most recent call last): 2025-12-04T12:21:59.6766526Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6766683Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6767216Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6767342Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6767577Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6767587Z 2025-12-04T12:21:59.6767905Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6768635Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6768640Z 2025-12-04T12:21:59.6768924Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6769141Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6769269Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6769392Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6769510Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6769749Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6769849Z graph_break [] 2025-12-04T12:21:59.6770063Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6770809Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6770917Z warnings.warn( 2025-12-04T12:21:59.6771220Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6771347Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6771459Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6771693Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6771816Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6771914Z graph_break [] 2025-12-04T12:21:59.6772203Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6772934Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6773033Z warnings.warn( 2025-12-04T12:21:59.6773188Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6773558Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6773693Z Traceback (most recent call last): 2025-12-04T12:21:59.6774162Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6774315Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6774883Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6775009Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6775205Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6775222Z 2025-12-04T12:21:59.6775435Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6776160Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6776223Z 2025-12-04T12:21:59.6776502Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6776717Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6776828Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6776962Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6777082Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6777312Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6777417Z graph_break [] 2025-12-04T12:21:59.6777631Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6778381Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6778483Z warnings.warn( 2025-12-04T12:21:59.6778699Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6778822Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6778935Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6779168Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6779291Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6779390Z graph_break [] 2025-12-04T12:21:59.6779618Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6780351Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6780453Z warnings.warn( 2025-12-04T12:21:59.6780676Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6780788Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6780919Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6781138Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6781259Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6781367Z graph_break [] 2025-12-04T12:21:59.6781577Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6782303Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6782414Z warnings.warn( 2025-12-04T12:21:59.6783198Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-35058135bb46dcbf.xml - 2025-12-04T12:21:59.6783382Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6784219Z FAILED [0.2927s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6784229Z 2025-12-04T12:21:59.6784445Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6785184Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6785189Z 2025-12-04T12:21:59.6785455Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6785678Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6785878Z ================== 1 failed, 275 deselected, 2 rerun in 5.32s ================== 2025-12-04T12:21:59.6785978Z Got exit code 1 2025-12-04T12:21:59.6786100Z Retrying single test... 2025-12-04T12:21:59.6786676Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-273a2910a926e518.xml 2025-12-04T12:21:59.6786870Z ============================= test session starts ============================== 2025-12-04T12:21:59.6787266Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6787375Z cachedir: .pytest_cache 2025-12-04T12:21:59.6787914Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6788038Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6788144Z configfile: pytest.ini 2025-12-04T12:21:59.6788749Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6788978Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6789793Z stepcurrent: skipping 35 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6789911Z Running 1 items in this shard 2025-12-04T12:21:59.6789917Z 2025-12-04T12:21:59.6790604Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9194s] [100%] 2025-12-04T12:21:59.6791296Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2774s] [100%] 2025-12-04T12:21:59.6791894Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2780s] [100%] 2025-12-04T12:21:59.6791900Z 2025-12-04T12:21:59.6792055Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6792423Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6792547Z Traceback (most recent call last): 2025-12-04T12:21:59.6793042Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6793195Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6793727Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6793848Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6794039Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6794045Z 2025-12-04T12:21:59.6794274Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6795031Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6795037Z 2025-12-04T12:21:59.6795315Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6795534Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6795648Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6795773Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6795895Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6796112Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6796223Z graph_break [] 2025-12-04T12:21:59.6796440Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6797234Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6797339Z warnings.warn( 2025-12-04T12:21:59.6797708Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6797842Z Traceback (most recent call last): 2025-12-04T12:21:59.6798314Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6798526Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6799053Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6799176Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6799382Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6799388Z 2025-12-04T12:21:59.6799601Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6800329Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6800334Z 2025-12-04T12:21:59.6800613Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6800828Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6800957Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6801071Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6801192Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6801423Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6801520Z graph_break [] 2025-12-04T12:21:59.6801734Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6802482Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6802583Z warnings.warn( 2025-12-04T12:21:59.6802812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6802921Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6803034Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6803265Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6803388Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6803487Z graph_break [] 2025-12-04T12:21:59.6803715Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6804636Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6804739Z warnings.warn( 2025-12-04T12:21:59.6804898Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6805270Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6805482Z Traceback (most recent call last): 2025-12-04T12:21:59.6805959Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6806114Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6806652Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6806781Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6806987Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6806993Z 2025-12-04T12:21:59.6807205Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6807929Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6807935Z 2025-12-04T12:21:59.6808258Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6808480Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6808606Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6808723Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6808844Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6809159Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6809256Z graph_break [] 2025-12-04T12:21:59.6809471Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6810218Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6810319Z warnings.warn( 2025-12-04T12:21:59.6810532Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6810657Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6810771Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6811006Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6811210Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6811310Z graph_break [] 2025-12-04T12:21:59.6811540Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6812273Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6812374Z warnings.warn( 2025-12-04T12:21:59.6812616Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6812731Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6812863Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6813083Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6813208Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6813321Z graph_break [] 2025-12-04T12:21:59.6813538Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6814265Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6814383Z warnings.warn( 2025-12-04T12:21:59.6815140Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-273a2910a926e518.xml - 2025-12-04T12:21:59.6815363Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6816204Z FAILED [0.2780s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6816209Z 2025-12-04T12:21:59.6816431Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6817219Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6817225Z 2025-12-04T12:21:59.6817495Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6817691Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6817892Z ================== 1 failed, 275 deselected, 2 rerun in 5.15s ================== 2025-12-04T12:21:59.6817992Z Got exit code 1 2025-12-04T12:21:59.6818654Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6819069Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.6819683Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-d390762d2f1f7963.xml 2025-12-04T12:21:59.6819850Z ============================= test session starts ============================== 2025-12-04T12:21:59.6820204Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6820362Z cachedir: .pytest_cache 2025-12-04T12:21:59.6820916Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6821039Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6821165Z configfile: pytest.ini 2025-12-04T12:21:59.6821755Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6821992Z collecting ... collected 571 items / 36 deselected / 535 selected 2025-12-04T12:21:59.6822134Z stepcurrent: skipping 36 already run items. 2025-12-04T12:21:59.6822251Z Running 240 items in this shard 2025-12-04T12:21:59.6822256Z 2025-12-04T12:21:59.6822876Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_float16_cuda PASSED [3.4409s] [ 0%] 2025-12-04T12:21:59.6823561Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0931s] [ 0%] 2025-12-04T12:21:59.6824266Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2629s] [ 0%] 2025-12-04T12:21:59.6824861Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2614s] [ 0%] 2025-12-04T12:21:59.6824866Z 2025-12-04T12:21:59.6825007Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6825391Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6825518Z Traceback (most recent call last): 2025-12-04T12:21:59.6826009Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6826164Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6826684Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6826823Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6827011Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6827016Z 2025-12-04T12:21:59.6827245Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6827966Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6827974Z 2025-12-04T12:21:59.6828272Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6828506Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6828617Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6828743Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6828964Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6829089Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6829197Z graph_break [] 2025-12-04T12:21:59.6829413Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6830144Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6830256Z warnings.warn( 2025-12-04T12:21:59.6830656Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6830779Z Traceback (most recent call last): 2025-12-04T12:21:59.6831264Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6831424Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6831955Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6832138Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6832327Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6832333Z 2025-12-04T12:21:59.6832563Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6833283Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6833288Z 2025-12-04T12:21:59.6833570Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6833787Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6833898Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6834027Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6834246Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6834369Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6834485Z graph_break [] 2025-12-04T12:21:59.6834701Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6835447Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6835548Z warnings.warn( 2025-12-04T12:21:59.6835765Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6835894Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6836011Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6836231Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6836360Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6836457Z graph_break [] 2025-12-04T12:21:59.6836682Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6837411Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6837513Z warnings.warn( 2025-12-04T12:21:59.6837670Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6838035Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6838154Z Traceback (most recent call last): 2025-12-04T12:21:59.6838643Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6838800Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6839378Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6839502Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6839692Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6839702Z 2025-12-04T12:21:59.6839928Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6840652Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6840657Z 2025-12-04T12:21:59.6840939Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6841155Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6841301Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6841432Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6841655Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6841778Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6841891Z graph_break [] 2025-12-04T12:21:59.6842105Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6842915Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6843017Z warnings.warn( 2025-12-04T12:21:59.6843230Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6843357Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6843470Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6843687Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6843824Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6843921Z graph_break [] 2025-12-04T12:21:59.6844136Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6844882Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6844984Z warnings.warn( 2025-12-04T12:21:59.6845210Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6845319Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6845431Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6845662Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6845783Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6845879Z graph_break [] 2025-12-04T12:21:59.6846103Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6846833Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6846945Z warnings.warn( 2025-12-04T12:21:59.6847697Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-d390762d2f1f7963.xml - 2025-12-04T12:21:59.6847871Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6848720Z FAILED [0.2614s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6848726Z 2025-12-04T12:21:59.6848939Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6849674Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6849680Z 2025-12-04T12:21:59.6849979Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6850157Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6850382Z ============= 1 failed, 1 passed, 36 deselected, 2 rerun in 5.74s ============== 2025-12-04T12:21:59.6850483Z Got exit code 1 2025-12-04T12:21:59.6850604Z Retrying single test... 2025-12-04T12:21:59.6851263Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-36207b29387d3530.xml 2025-12-04T12:21:59.6851426Z ============================= test session starts ============================== 2025-12-04T12:21:59.6851789Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6851900Z cachedir: .pytest_cache 2025-12-04T12:21:59.6852459Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6852598Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6852706Z configfile: pytest.ini 2025-12-04T12:21:59.6853307Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6853646Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6854487Z stepcurrent: skipping 37 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6854614Z Running 1 items in this shard 2025-12-04T12:21:59.6854619Z 2025-12-04T12:21:59.6855306Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9487s] [100%] 2025-12-04T12:21:59.6856010Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2892s] [100%] 2025-12-04T12:21:59.6856607Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2856s] [100%] 2025-12-04T12:21:59.6856613Z 2025-12-04T12:21:59.6856768Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6857138Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6857260Z Traceback (most recent call last): 2025-12-04T12:21:59.6857746Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6857901Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6858422Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6858559Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6858751Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6858756Z 2025-12-04T12:21:59.6858984Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6859711Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6859720Z 2025-12-04T12:21:59.6859988Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6860221Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6860333Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6860468Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6860592Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6860814Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6860929Z graph_break [] 2025-12-04T12:21:59.6861185Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6861921Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6862034Z warnings.warn( 2025-12-04T12:21:59.6862402Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6862540Z Traceback (most recent call last): 2025-12-04T12:21:59.6863011Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6863169Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6863698Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6863820Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6864042Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6864048Z 2025-12-04T12:21:59.6864278Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6865001Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6865069Z 2025-12-04T12:21:59.6865348Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6865563Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6865674Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6865802Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6865925Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6866146Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6866257Z graph_break [] 2025-12-04T12:21:59.6866474Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6867223Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6867326Z warnings.warn( 2025-12-04T12:21:59.6867539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6867673Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6867791Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6868010Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6868145Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6868243Z graph_break [] 2025-12-04T12:21:59.6868559Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6869330Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6869433Z warnings.warn( 2025-12-04T12:21:59.6869593Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6869962Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6870085Z Traceback (most recent call last): 2025-12-04T12:21:59.6870585Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6870748Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6871285Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6871411Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6871605Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6871610Z 2025-12-04T12:21:59.6871843Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6872630Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6872637Z 2025-12-04T12:21:59.6872922Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6873142Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6873261Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6873393Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6873519Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6873746Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6873864Z graph_break [] 2025-12-04T12:21:59.6874080Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6874863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6874970Z warnings.warn( 2025-12-04T12:21:59.6875185Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6875316Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6875433Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6875658Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6875868Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6875967Z graph_break [] 2025-12-04T12:21:59.6876200Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6876940Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6877039Z warnings.warn( 2025-12-04T12:21:59.6877267Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6877381Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6877494Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6877730Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6877848Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6877944Z graph_break [] 2025-12-04T12:21:59.6878173Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6878909Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6879024Z warnings.warn( 2025-12-04T12:21:59.6879844Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-36207b29387d3530.xml - 2025-12-04T12:21:59.6880128Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6881367Z FAILED [0.2856s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6881373Z 2025-12-04T12:21:59.6881587Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6882326Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6882336Z 2025-12-04T12:21:59.6882602Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6882779Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6882994Z ================== 1 failed, 275 deselected, 2 rerun in 5.26s ================== 2025-12-04T12:21:59.6883095Z Got exit code 1 2025-12-04T12:21:59.6883216Z Retrying single test... 2025-12-04T12:21:59.6883795Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-bb2ef98f0d542da9.xml 2025-12-04T12:21:59.6884009Z ============================= test session starts ============================== 2025-12-04T12:21:59.6884380Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6884487Z cachedir: .pytest_cache 2025-12-04T12:21:59.6885025Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6885150Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6885258Z configfile: pytest.ini 2025-12-04T12:21:59.6885864Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6886091Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6886940Z stepcurrent: skipping 37 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6887071Z Running 1 items in this shard 2025-12-04T12:21:59.6887077Z 2025-12-04T12:21:59.6887762Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9437s] [100%] 2025-12-04T12:21:59.6888525Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2889s] [100%] 2025-12-04T12:21:59.6889123Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.3272s] [100%] 2025-12-04T12:21:59.6889128Z 2025-12-04T12:21:59.6889279Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6889648Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6889771Z Traceback (most recent call last): 2025-12-04T12:21:59.6890262Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6890415Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6890937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6891195Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6891391Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6891396Z 2025-12-04T12:21:59.6891622Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6892345Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6892350Z 2025-12-04T12:21:59.6892619Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6892854Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6892966Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6893094Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6893212Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6893434Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6893549Z graph_break [] 2025-12-04T12:21:59.6893828Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6894602Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6894712Z warnings.warn( 2025-12-04T12:21:59.6895078Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6895216Z Traceback (most recent call last): 2025-12-04T12:21:59.6895743Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6895901Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6896436Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6896564Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6896755Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6896761Z 2025-12-04T12:21:59.6896987Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6897718Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6897723Z 2025-12-04T12:21:59.6898002Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6898251Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6898367Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6898495Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6898617Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6898850Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6898976Z graph_break [] 2025-12-04T12:21:59.6899222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6899972Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6900072Z warnings.warn( 2025-12-04T12:21:59.6900288Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6900410Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6900525Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6900746Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6900881Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6900977Z graph_break [] 2025-12-04T12:21:59.6901208Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6901936Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6902039Z warnings.warn( 2025-12-04T12:21:59.6902195Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6902562Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.6902684Z Traceback (most recent call last): 2025-12-04T12:21:59.6903174Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6903329Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6903863Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6903986Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6904177Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6904185Z 2025-12-04T12:21:59.6904413Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6905319Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6905325Z 2025-12-04T12:21:59.6905608Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6905824Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6905933Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6906064Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6906186Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6906487Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6906603Z graph_break [] 2025-12-04T12:21:59.6906816Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6907563Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6907667Z warnings.warn( 2025-12-04T12:21:59.6907880Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6908003Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6908118Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6908335Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6908469Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6908566Z graph_break [] 2025-12-04T12:21:59.6908841Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6909572Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6909674Z warnings.warn( 2025-12-04T12:21:59.6909943Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6910091Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6910207Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6910439Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6910558Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6910668Z graph_break [] 2025-12-04T12:21:59.6910881Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6911610Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6911727Z warnings.warn( 2025-12-04T12:21:59.6912490Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-bb2ef98f0d542da9.xml - 2025-12-04T12:21:59.6912660Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6913521Z FAILED [0.3272s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6913527Z 2025-12-04T12:21:59.6913741Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6914484Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6914489Z 2025-12-04T12:21:59.6914757Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6914948Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6915146Z ================== 1 failed, 275 deselected, 2 rerun in 5.27s ================== 2025-12-04T12:21:59.6915246Z Got exit code 1 2025-12-04T12:21:59.6915905Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.6916319Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.6916896Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-b7851e3bd7d8cc2d.xml 2025-12-04T12:21:59.6917071Z ============================= test session starts ============================== 2025-12-04T12:21:59.6917423Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6917546Z cachedir: .pytest_cache 2025-12-04T12:21:59.6918110Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6918237Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6918359Z configfile: pytest.ini 2025-12-04T12:21:59.6918957Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6919196Z collecting ... collected 571 items / 38 deselected / 533 selected 2025-12-04T12:21:59.6919338Z stepcurrent: skipping 38 already run items. 2025-12-04T12:21:59.6919450Z Running 238 items in this shard 2025-12-04T12:21:59.6919455Z 2025-12-04T12:21:59.6920066Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_True_float16_cuda PASSED [3.4594s] [ 0%] 2025-12-04T12:21:59.6920694Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_False_float16_cuda PASSED [0.3508s] [ 0%] 2025-12-04T12:21:59.6921375Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0925s] [ 1%] 2025-12-04T12:21:59.6922116Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2742s] [ 1%] 2025-12-04T12:21:59.6922733Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2723s] [ 1%] 2025-12-04T12:21:59.6922739Z 2025-12-04T12:21:59.6922895Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6923255Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6923392Z Traceback (most recent call last): 2025-12-04T12:21:59.6923872Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6924032Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6924570Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6924698Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6924892Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6924898Z 2025-12-04T12:21:59.6925126Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6925841Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6925847Z 2025-12-04T12:21:59.6926128Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6926350Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6926466Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6926601Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6926822Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6926962Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6927065Z graph_break [] 2025-12-04T12:21:59.6927284Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6928034Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6928140Z warnings.warn( 2025-12-04T12:21:59.6928497Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6928636Z Traceback (most recent call last): 2025-12-04T12:21:59.6929112Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6929317Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6929840Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6929966Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6930178Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6930183Z 2025-12-04T12:21:59.6930398Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6931197Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6931218Z 2025-12-04T12:21:59.6931489Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6931749Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6931876Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6931995Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6932218Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6932356Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6932453Z graph_break [] 2025-12-04T12:21:59.6932703Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6933483Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6933584Z warnings.warn( 2025-12-04T12:21:59.6933807Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6933917Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6934036Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6934276Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6934400Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6934500Z graph_break [] 2025-12-04T12:21:59.6934723Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6935456Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6935574Z warnings.warn( 2025-12-04T12:21:59.6935718Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6936072Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6936209Z Traceback (most recent call last): 2025-12-04T12:21:59.6936679Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6936831Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6937361Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6937481Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6937682Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6937687Z 2025-12-04T12:21:59.6937897Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6938612Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6938633Z 2025-12-04T12:21:59.6938898Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6939112Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6939236Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6939348Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6939569Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6939701Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6939832Z graph_break [] 2025-12-04T12:21:59.6940047Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6940787Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6940894Z warnings.warn( 2025-12-04T12:21:59.6941118Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6941229Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6941342Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6941575Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6941695Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6941794Z graph_break [] 2025-12-04T12:21:59.6942047Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6942784Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6942898Z warnings.warn( 2025-12-04T12:21:59.6943109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6943253Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6943410Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6943628Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6943749Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6943858Z graph_break [] 2025-12-04T12:21:59.6944070Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6944810Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6944911Z warnings.warn( 2025-12-04T12:21:59.6945669Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-b7851e3bd7d8cc2d.xml - 2025-12-04T12:21:59.6945851Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6946681Z FAILED [0.2723s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6946690Z 2025-12-04T12:21:59.6946916Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6947626Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6947632Z 2025-12-04T12:21:59.6947895Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6948087Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6948304Z ============= 1 failed, 2 passed, 38 deselected, 2 rerun in 6.14s ============== 2025-12-04T12:21:59.6948409Z Got exit code 1 2025-12-04T12:21:59.6948527Z Retrying single test... 2025-12-04T12:21:59.6949101Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f39d787c0df91044.xml 2025-12-04T12:21:59.6949283Z ============================= test session starts ============================== 2025-12-04T12:21:59.6949633Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6949743Z cachedir: .pytest_cache 2025-12-04T12:21:59.6950284Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6950407Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6950531Z configfile: pytest.ini 2025-12-04T12:21:59.6951161Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6951393Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6952208Z stepcurrent: skipping 40 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6952327Z Running 1 items in this shard 2025-12-04T12:21:59.6952332Z 2025-12-04T12:21:59.6953022Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9195s] [100%] 2025-12-04T12:21:59.6953694Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2705s] [100%] 2025-12-04T12:21:59.6954314Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2596s] [100%] 2025-12-04T12:21:59.6954320Z 2025-12-04T12:21:59.6954472Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6954830Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6955025Z Traceback (most recent call last): 2025-12-04T12:21:59.6955504Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6955658Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6956192Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6956317Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6956509Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6956517Z 2025-12-04T12:21:59.6956742Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6957464Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6957469Z 2025-12-04T12:21:59.6957752Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6957970Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6958082Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6958207Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6958326Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6958558Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6958657Z graph_break [] 2025-12-04T12:21:59.6958872Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6959623Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6959724Z warnings.warn( 2025-12-04T12:21:59.6960080Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6960215Z Traceback (most recent call last): 2025-12-04T12:21:59.6960688Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6960853Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6961375Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6961498Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6961699Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6961704Z 2025-12-04T12:21:59.6961917Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6962667Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6962685Z 2025-12-04T12:21:59.6962955Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6963177Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6963301Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6963416Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6963534Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6963765Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6963865Z graph_break [] 2025-12-04T12:21:59.6964079Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6964874Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6964980Z warnings.warn( 2025-12-04T12:21:59.6965204Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6965316Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6965431Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6965695Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6965848Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6965945Z graph_break [] 2025-12-04T12:21:59.6966170Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6966905Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6967022Z warnings.warn( 2025-12-04T12:21:59.6967168Z =================================== FAILURES =================================== 2025-12-04T12:21:59.6967532Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6967668Z Traceback (most recent call last): 2025-12-04T12:21:59.6968139Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6968310Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6968831Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6968954Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6969157Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6969162Z 2025-12-04T12:21:59.6969376Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6970093Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6970111Z 2025-12-04T12:21:59.6970379Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6970597Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6970723Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6970838Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6970960Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6971294Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6971396Z graph_break [] 2025-12-04T12:21:59.6971609Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6972354Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6972454Z warnings.warn( 2025-12-04T12:21:59.6972678Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6979328Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6979474Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6979737Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6979867Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6979969Z graph_break [] 2025-12-04T12:21:59.6980208Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6980963Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6981066Z warnings.warn( 2025-12-04T12:21:59.6981298Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6981413Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6981543Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6981808Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6981929Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6982047Z graph_break [] 2025-12-04T12:21:59.6982264Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6983004Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6983193Z warnings.warn( 2025-12-04T12:21:59.6983948Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f39d787c0df91044.xml - 2025-12-04T12:21:59.6984138Z =========================== short test summary info ============================ 2025-12-04T12:21:59.6984970Z FAILED [0.2596s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6984980Z 2025-12-04T12:21:59.6985200Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6985925Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6985932Z 2025-12-04T12:21:59.6986199Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6986390Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.6986590Z ================== 1 failed, 275 deselected, 2 rerun in 5.14s ================== 2025-12-04T12:21:59.6986690Z Got exit code 1 2025-12-04T12:21:59.6986812Z Retrying single test... 2025-12-04T12:21:59.6987392Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6ece2811ff95e61e.xml 2025-12-04T12:21:59.6987559Z ============================= test session starts ============================== 2025-12-04T12:21:59.6987926Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.6988043Z cachedir: .pytest_cache 2025-12-04T12:21:59.6988580Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.6988708Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.6988822Z configfile: pytest.ini 2025-12-04T12:21:59.6989428Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.6989658Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.6990480Z stepcurrent: skipping 40 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6990649Z Running 1 items in this shard 2025-12-04T12:21:59.6990654Z 2025-12-04T12:21:59.6991365Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9645s] [100%] 2025-12-04T12:21:59.6992052Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2888s] [100%] 2025-12-04T12:21:59.6992649Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2864s] [100%] 2025-12-04T12:21:59.6992655Z 2025-12-04T12:21:59.6992815Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.6993175Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6993304Z Traceback (most recent call last): 2025-12-04T12:21:59.6993836Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6994000Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6994640Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.6994800Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.6995037Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.6995076Z 2025-12-04T12:21:59.6995308Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.6996028Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.6996034Z 2025-12-04T12:21:59.6996318Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.6996539Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.6996654Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.6996783Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.6996903Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.6997125Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.6997236Z graph_break [] 2025-12-04T12:21:59.6997452Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.6998206Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.6998308Z warnings.warn( 2025-12-04T12:21:59.6998669Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.6998803Z Traceback (most recent call last): 2025-12-04T12:21:59.6999279Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.6999437Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.6999976Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7000101Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7000305Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7000313Z 2025-12-04T12:21:59.7000528Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7001243Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7001249Z 2025-12-04T12:21:59.7001532Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7001752Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7001878Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7001995Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7002116Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7002382Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7002484Z graph_break [] 2025-12-04T12:21:59.7002699Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7003451Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7003554Z warnings.warn( 2025-12-04T12:21:59.7003781Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7003889Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7004007Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7004238Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7004359Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7004672Z graph_break [] 2025-12-04T12:21:59.7004908Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7005639Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7005744Z warnings.warn( 2025-12-04T12:21:59.7005948Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7006349Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7006483Z Traceback (most recent call last): 2025-12-04T12:21:59.7006958Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7007118Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7007653Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7007777Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7007984Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7007989Z 2025-12-04T12:21:59.7008204Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7008915Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7008926Z 2025-12-04T12:21:59.7009204Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7009425Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7009549Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7009661Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7009781Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7010011Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7010113Z graph_break [] 2025-12-04T12:21:59.7010327Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7011158Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7011266Z warnings.warn( 2025-12-04T12:21:59.7011482Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7011609Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7011725Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7011957Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7012078Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7012174Z graph_break [] 2025-12-04T12:21:59.7012400Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7013184Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7013287Z warnings.warn( 2025-12-04T12:21:59.7013510Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7013619Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7013749Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7013969Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7014090Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7014200Z graph_break [] 2025-12-04T12:21:59.7014415Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7015141Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7015254Z warnings.warn( 2025-12-04T12:21:59.7016046Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6ece2811ff95e61e.xml - 2025-12-04T12:21:59.7016231Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7017058Z FAILED [0.2864s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7017143Z 2025-12-04T12:21:59.7017361Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7018084Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7018089Z 2025-12-04T12:21:59.7018356Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7018551Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7018755Z ================== 1 failed, 275 deselected, 2 rerun in 5.23s ================== 2025-12-04T12:21:59.7018853Z Got exit code 1 2025-12-04T12:21:59.7019500Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7019915Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7020506Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-225d6a1ecdd1c6f5.xml 2025-12-04T12:21:59.7020669Z ============================= test session starts ============================== 2025-12-04T12:21:59.7021023Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7021145Z cachedir: .pytest_cache 2025-12-04T12:21:59.7021666Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7021793Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7021916Z configfile: pytest.ini 2025-12-04T12:21:59.7022509Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7022748Z collecting ... collected 571 items / 41 deselected / 530 selected 2025-12-04T12:21:59.7022894Z stepcurrent: skipping 41 already run items. 2025-12-04T12:21:59.7023006Z Running 235 items in this shard 2025-12-04T12:21:59.7023011Z 2025-12-04T12:21:59.7023712Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9810s] [ 0%] 2025-12-04T12:21:59.7024393Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2841s] [ 0%] 2025-12-04T12:21:59.7025044Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2844s] [ 0%] 2025-12-04T12:21:59.7025050Z 2025-12-04T12:21:59.7025190Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7025560Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7025701Z Traceback (most recent call last): 2025-12-04T12:21:59.7026179Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7026347Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7026872Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7026995Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7027232Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7027238Z 2025-12-04T12:21:59.7027456Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7028196Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7028233Z 2025-12-04T12:21:59.7028503Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7028773Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7028899Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7029015Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7029135Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7029369Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7029472Z graph_break [] 2025-12-04T12:21:59.7029703Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7030446Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7030552Z warnings.warn( 2025-12-04T12:21:59.7030937Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7031063Z Traceback (most recent call last): 2025-12-04T12:21:59.7031604Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7031848Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7032395Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7032535Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7032727Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7032733Z 2025-12-04T12:21:59.7032953Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7033700Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7033707Z 2025-12-04T12:21:59.7033977Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7034214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7034327Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7034445Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7034580Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7034802Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7034903Z graph_break [] 2025-12-04T12:21:59.7035129Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7035918Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7036036Z warnings.warn( 2025-12-04T12:21:59.7036253Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7036362Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7036493Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7036718Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7036838Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7036950Z graph_break [] 2025-12-04T12:21:59.7037167Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7037910Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7038010Z warnings.warn( 2025-12-04T12:21:59.7038258Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7038643Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7038764Z Traceback (most recent call last): 2025-12-04T12:21:59.7039240Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7039442Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7039990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7040125Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7040314Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7040320Z 2025-12-04T12:21:59.7040534Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7041277Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7041283Z 2025-12-04T12:21:59.7041551Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7041785Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7041896Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7042012Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7042148Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7042369Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7042466Z graph_break [] 2025-12-04T12:21:59.7042694Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7043425Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7043541Z warnings.warn( 2025-12-04T12:21:59.7043756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7043871Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7044000Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7044218Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7044338Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7044452Z graph_break [] 2025-12-04T12:21:59.7044669Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7045399Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7045517Z warnings.warn( 2025-12-04T12:21:59.7045727Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7045848Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7045962Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7046186Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7046352Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7046451Z graph_break [] 2025-12-04T12:21:59.7046665Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7047405Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7047509Z warnings.warn( 2025-12-04T12:21:59.7048279Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-225d6a1ecdd1c6f5.xml - 2025-12-04T12:21:59.7048447Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7049312Z FAILED [0.2844s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7049318Z 2025-12-04T12:21:59.7049548Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7050273Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7050308Z 2025-12-04T12:21:59.7050620Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7050796Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7050992Z ================== 1 failed, 41 deselected, 2 rerun in 5.26s =================== 2025-12-04T12:21:59.7051193Z Got exit code 1 2025-12-04T12:21:59.7051306Z Retrying single test... 2025-12-04T12:21:59.7051892Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-174a3946f3344172.xml 2025-12-04T12:21:59.7052061Z ============================= test session starts ============================== 2025-12-04T12:21:59.7052415Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7052541Z cachedir: .pytest_cache 2025-12-04T12:21:59.7053058Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7053189Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7053314Z configfile: pytest.ini 2025-12-04T12:21:59.7053909Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7054151Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7054960Z stepcurrent: skipping 41 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7055077Z Running 1 items in this shard 2025-12-04T12:21:59.7055082Z 2025-12-04T12:21:59.7055783Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9335s] [100%] 2025-12-04T12:21:59.7056471Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2805s] [100%] 2025-12-04T12:21:59.7057087Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2771s] [100%] 2025-12-04T12:21:59.7057093Z 2025-12-04T12:21:59.7057231Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7057596Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7057731Z Traceback (most recent call last): 2025-12-04T12:21:59.7058207Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7058412Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7058933Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7059060Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7059264Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7059268Z 2025-12-04T12:21:59.7059479Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7060218Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7060223Z 2025-12-04T12:21:59.7060490Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7060756Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7060884Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7061001Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7061120Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7061356Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7061458Z graph_break [] 2025-12-04T12:21:59.7061711Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7062472Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7062573Z warnings.warn( 2025-12-04T12:21:59.7062950Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7063071Z Traceback (most recent call last): 2025-12-04T12:21:59.7063552Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7063722Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7064238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7064372Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7064564Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7064572Z 2025-12-04T12:21:59.7064785Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7065522Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7065528Z 2025-12-04T12:21:59.7065793Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7066020Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7066134Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7066247Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7066384Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7066601Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7066700Z graph_break [] 2025-12-04T12:21:59.7066926Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7067658Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7067770Z warnings.warn( 2025-12-04T12:21:59.7067983Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7068092Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7068217Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7068434Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7068560Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7068670Z graph_break [] 2025-12-04T12:21:59.7068916Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7069656Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7069761Z warnings.warn( 2025-12-04T12:21:59.7069906Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7070287Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7070411Z Traceback (most recent call last): 2025-12-04T12:21:59.7070885Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7071051Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7071604Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7071743Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7071932Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7071938Z 2025-12-04T12:21:59.7072153Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7072923Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7072959Z 2025-12-04T12:21:59.7073226Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7073461Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7073572Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7073686Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7073820Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7074042Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7074138Z graph_break [] 2025-12-04T12:21:59.7074365Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7075099Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7075216Z warnings.warn( 2025-12-04T12:21:59.7075429Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7075539Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7075663Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7075881Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7076001Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7076110Z graph_break [] 2025-12-04T12:21:59.7076323Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7077057Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7077172Z warnings.warn( 2025-12-04T12:21:59.7077384Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7077512Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7077628Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7077847Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7077981Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7078078Z graph_break [] 2025-12-04T12:21:59.7078291Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7079031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7079134Z warnings.warn( 2025-12-04T12:21:59.7079932Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-174a3946f3344172.xml - 2025-12-04T12:21:59.7080107Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7080947Z FAILED [0.2771s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7080957Z 2025-12-04T12:21:59.7081184Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7081908Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7081914Z 2025-12-04T12:21:59.7082197Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7082405Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7082606Z ================== 1 failed, 275 deselected, 2 rerun in 5.18s ================== 2025-12-04T12:21:59.7082718Z Got exit code 1 2025-12-04T12:21:59.7082826Z Retrying single test... 2025-12-04T12:21:59.7083416Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-78abfbb03bee5df3.xml 2025-12-04T12:21:59.7083637Z ============================= test session starts ============================== 2025-12-04T12:21:59.7083987Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7084109Z cachedir: .pytest_cache 2025-12-04T12:21:59.7084628Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7084768Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7084878Z configfile: pytest.ini 2025-12-04T12:21:59.7085476Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7085716Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7086521Z stepcurrent: skipping 41 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7086655Z Running 1 items in this shard 2025-12-04T12:21:59.7086659Z 2025-12-04T12:21:59.7087349Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9207s] [100%] 2025-12-04T12:21:59.7088039Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2693s] [100%] 2025-12-04T12:21:59.7088650Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2637s] [100%] 2025-12-04T12:21:59.7088656Z 2025-12-04T12:21:59.7088795Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7089175Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7089300Z Traceback (most recent call last): 2025-12-04T12:21:59.7089777Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7089947Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7090467Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7090605Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7090801Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7090806Z 2025-12-04T12:21:59.7091023Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7091895Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7091902Z 2025-12-04T12:21:59.7092174Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7092410Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7092524Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7092640Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7092775Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7092998Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7093100Z graph_break [] 2025-12-04T12:21:59.7093329Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7094102Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7094206Z warnings.warn( 2025-12-04T12:21:59.7094593Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7094716Z Traceback (most recent call last): 2025-12-04T12:21:59.7095243Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7095430Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7095949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7096085Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7096276Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7096281Z 2025-12-04T12:21:59.7096510Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7097238Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7097243Z 2025-12-04T12:21:59.7097510Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7097742Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7097857Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7097973Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7098108Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7098327Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7098436Z graph_break [] 2025-12-04T12:21:59.7098655Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7099392Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7099512Z warnings.warn( 2025-12-04T12:21:59.7099728Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7099840Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7099965Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7100187Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7100321Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7100426Z graph_break [] 2025-12-04T12:21:59.7100641Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7101387Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7101494Z warnings.warn( 2025-12-04T12:21:59.7101642Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7102086Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7102217Z Traceback (most recent call last): 2025-12-04T12:21:59.7102708Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7102863Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7103386Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7103524Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7103716Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7103721Z 2025-12-04T12:21:59.7103938Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7105003Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7105012Z 2025-12-04T12:21:59.7105285Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7105514Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7105628Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7105745Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7105927Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7106192Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7106302Z graph_break [] 2025-12-04T12:21:59.7106514Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7107245Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7107363Z warnings.warn( 2025-12-04T12:21:59.7107578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7107687Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7107815Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7108034Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7108166Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7108264Z graph_break [] 2025-12-04T12:21:59.7108478Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7109221Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7109320Z warnings.warn( 2025-12-04T12:21:59.7109533Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7109653Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7109767Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7109989Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7110119Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7110217Z graph_break [] 2025-12-04T12:21:59.7110443Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7111175Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7111280Z warnings.warn( 2025-12-04T12:21:59.7112054Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-78abfbb03bee5df3.xml - 2025-12-04T12:21:59.7112224Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7113081Z FAILED [0.2637s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7113090Z 2025-12-04T12:21:59.7113355Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7114090Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7114096Z 2025-12-04T12:21:59.7114375Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7114554Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7114762Z ================== 1 failed, 275 deselected, 2 rerun in 5.15s ================== 2025-12-04T12:21:59.7114864Z Got exit code 1 2025-12-04T12:21:59.7115509Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7115935Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7116550Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5e85beaeecdfeb3d.xml 2025-12-04T12:21:59.7116728Z ============================= test session starts ============================== 2025-12-04T12:21:59.7117081Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7117265Z cachedir: .pytest_cache 2025-12-04T12:21:59.7117800Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7117924Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7118033Z configfile: pytest.ini 2025-12-04T12:21:59.7118639Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7118865Z collecting ... collected 571 items / 42 deselected / 529 selected 2025-12-04T12:21:59.7119023Z stepcurrent: skipping 42 already run items. 2025-12-04T12:21:59.7119137Z Running 234 items in this shard 2025-12-04T12:21:59.7119142Z 2025-12-04T12:21:59.7119833Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9644s] [ 0%] 2025-12-04T12:21:59.7120532Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2870s] [ 0%] 2025-12-04T12:21:59.7121131Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2865s] [ 0%] 2025-12-04T12:21:59.7121137Z 2025-12-04T12:21:59.7121291Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7121654Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7121779Z Traceback (most recent call last): 2025-12-04T12:21:59.7122271Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7122428Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7122963Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7123088Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7123278Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7123284Z 2025-12-04T12:21:59.7123511Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7124227Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7124232Z 2025-12-04T12:21:59.7124508Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7124725Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7124881Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7125009Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7125129Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7125346Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7125459Z graph_break [] 2025-12-04T12:21:59.7125669Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7126417Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7126517Z warnings.warn( 2025-12-04T12:21:59.7126888Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7127018Z Traceback (most recent call last): 2025-12-04T12:21:59.7127524Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7127682Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7128209Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7128331Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7128596Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7128601Z 2025-12-04T12:21:59.7128817Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7129539Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7129546Z 2025-12-04T12:21:59.7129822Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7130041Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7130165Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7130280Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7130401Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7130634Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7130730Z graph_break [] 2025-12-04T12:21:59.7130946Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7131791Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7131893Z warnings.warn( 2025-12-04T12:21:59.7132109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7132235Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7132347Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7132579Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7132703Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7132803Z graph_break [] 2025-12-04T12:21:59.7133032Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7133761Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7133866Z warnings.warn( 2025-12-04T12:21:59.7134022Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7134389Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7134525Z Traceback (most recent call last): 2025-12-04T12:21:59.7134998Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7135152Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7135730Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7135855Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7136046Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7136063Z 2025-12-04T12:21:59.7136276Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7137000Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7137005Z 2025-12-04T12:21:59.7137285Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7137499Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7137613Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7137738Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7137891Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7138127Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7138225Z graph_break [] 2025-12-04T12:21:59.7138438Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7139188Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7139367Z warnings.warn( 2025-12-04T12:21:59.7139581Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7139704Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7139820Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7140050Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7140174Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7140273Z graph_break [] 2025-12-04T12:21:59.7140501Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7141232Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7141334Z warnings.warn( 2025-12-04T12:21:59.7141562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7141684Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7141809Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7142030Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7142152Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7142263Z graph_break [] 2025-12-04T12:21:59.7142480Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7143207Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7143323Z warnings.warn( 2025-12-04T12:21:59.7144083Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5e85beaeecdfeb3d.xml - 2025-12-04T12:21:59.7144269Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7145102Z FAILED [0.2865s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7145109Z 2025-12-04T12:21:59.7145324Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7146064Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7146069Z 2025-12-04T12:21:59.7146338Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7146564Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7146760Z ================== 1 failed, 42 deselected, 2 rerun in 5.27s =================== 2025-12-04T12:21:59.7146860Z Got exit code 1 2025-12-04T12:21:59.7146980Z Retrying single test... 2025-12-04T12:21:59.7147556Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-89aa630e962d1a49.xml 2025-12-04T12:21:59.7147721Z ============================= test session starts ============================== 2025-12-04T12:21:59.7148081Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7148189Z cachedir: .pytest_cache 2025-12-04T12:21:59.7148724Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7148852Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7149002Z configfile: pytest.ini 2025-12-04T12:21:59.7149609Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7149838Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7150651Z stepcurrent: skipping 42 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7150826Z Running 1 items in this shard 2025-12-04T12:21:59.7150831Z 2025-12-04T12:21:59.7151511Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9449s] [100%] 2025-12-04T12:21:59.7152197Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2854s] [100%] 2025-12-04T12:21:59.7152793Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2833s] [100%] 2025-12-04T12:21:59.7152799Z 2025-12-04T12:21:59.7152950Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7153311Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7153437Z Traceback (most recent call last): 2025-12-04T12:21:59.7153923Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7154076Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7154607Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7154726Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7154918Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7154924Z 2025-12-04T12:21:59.7155154Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7155871Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7155879Z 2025-12-04T12:21:59.7156156Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7156373Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7156483Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7156614Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7156733Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7156951Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7157063Z graph_break [] 2025-12-04T12:21:59.7157275Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7158060Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7158165Z warnings.warn( 2025-12-04T12:21:59.7158533Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7158668Z Traceback (most recent call last): 2025-12-04T12:21:59.7159142Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7159296Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7159823Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7159948Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7160150Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7160155Z 2025-12-04T12:21:59.7160397Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7161119Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7161125Z 2025-12-04T12:21:59.7161402Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7161673Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7161799Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7161912Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7162030Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7162261Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7162357Z graph_break [] 2025-12-04T12:21:59.7162571Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7163327Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7163427Z warnings.warn( 2025-12-04T12:21:59.7163652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7163761Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7163875Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7164109Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7164229Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7164326Z graph_break [] 2025-12-04T12:21:59.7164548Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7165274Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7165374Z warnings.warn( 2025-12-04T12:21:59.7165533Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7165900Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7166034Z Traceback (most recent call last): 2025-12-04T12:21:59.7166510Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7166667Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7167195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7167320Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7167511Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7167529Z 2025-12-04T12:21:59.7167744Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7168465Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7168470Z 2025-12-04T12:21:59.7168785Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7169002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7169115Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7169238Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7169360Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7169591Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7169688Z graph_break [] 2025-12-04T12:21:59.7169899Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7170646Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7170746Z warnings.warn( 2025-12-04T12:21:59.7170988Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7171213Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7171328Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7171561Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7171680Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7171814Z graph_break [] 2025-12-04T12:21:59.7172080Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7172807Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7172907Z warnings.warn( 2025-12-04T12:21:59.7173128Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7173237Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7173361Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7173582Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7173704Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7173813Z graph_break [] 2025-12-04T12:21:59.7174028Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7174753Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7174869Z warnings.warn( 2025-12-04T12:21:59.7175620Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-89aa630e962d1a49.xml - 2025-12-04T12:21:59.7175799Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7176628Z FAILED [0.2833s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7176634Z 2025-12-04T12:21:59.7176852Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7177581Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7177588Z 2025-12-04T12:21:59.7177855Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7178046Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7178241Z ================== 1 failed, 275 deselected, 2 rerun in 5.21s ================== 2025-12-04T12:21:59.7178342Z Got exit code 1 2025-12-04T12:21:59.7178466Z Retrying single test... 2025-12-04T12:21:59.7179293Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f6eaaf3b72881197.xml 2025-12-04T12:21:59.7179631Z ============================= test session starts ============================== 2025-12-04T12:21:59.7180233Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7180346Z cachedir: .pytest_cache 2025-12-04T12:21:59.7180878Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7181005Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7181113Z configfile: pytest.ini 2025-12-04T12:21:59.7181713Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7181940Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7182760Z stepcurrent: skipping 42 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7182912Z Running 1 items in this shard 2025-12-04T12:21:59.7182918Z 2025-12-04T12:21:59.7183606Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9265s] [100%] 2025-12-04T12:21:59.7184297Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2676s] [100%] 2025-12-04T12:21:59.7184970Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2595s] [100%] 2025-12-04T12:21:59.7184976Z 2025-12-04T12:21:59.7185126Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7185489Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7185615Z Traceback (most recent call last): 2025-12-04T12:21:59.7186103Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7186261Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7186795Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7186918Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7187116Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7187123Z 2025-12-04T12:21:59.7187348Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7188065Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7188071Z 2025-12-04T12:21:59.7188348Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7188567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7188681Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7188809Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7188930Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7189152Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7189260Z graph_break [] 2025-12-04T12:21:59.7189477Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7190225Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7190325Z warnings.warn( 2025-12-04T12:21:59.7190687Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7190819Z Traceback (most recent call last): 2025-12-04T12:21:59.7191291Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7191447Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7192026Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7192153Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7192356Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7192365Z 2025-12-04T12:21:59.7192579Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7193300Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7193306Z 2025-12-04T12:21:59.7193600Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7193821Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7193982Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7194099Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7194224Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7194459Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7194561Z graph_break [] 2025-12-04T12:21:59.7194776Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7195584Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7195688Z warnings.warn( 2025-12-04T12:21:59.7195918Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7196028Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7196143Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7196379Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7196506Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7196605Z graph_break [] 2025-12-04T12:21:59.7196839Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7197575Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7197682Z warnings.warn( 2025-12-04T12:21:59.7197844Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7198210Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7198349Z Traceback (most recent call last): 2025-12-04T12:21:59.7198823Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7198979Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7199520Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7199648Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7199854Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7199859Z 2025-12-04T12:21:59.7200078Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7200802Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7200811Z 2025-12-04T12:21:59.7201093Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7201312Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7201436Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7201550Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7201674Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7201913Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7202013Z graph_break [] 2025-12-04T12:21:59.7202263Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7203010Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7203113Z warnings.warn( 2025-12-04T12:21:59.7203324Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7203443Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7203557Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7203789Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7203907Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7204002Z graph_break [] 2025-12-04T12:21:59.7204226Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7205231Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7205337Z warnings.warn( 2025-12-04T12:21:59.7205562Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7205670Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7205841Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7206099Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7206218Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7206331Z graph_break [] 2025-12-04T12:21:59.7206542Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7207265Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7207379Z warnings.warn( 2025-12-04T12:21:59.7208140Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f6eaaf3b72881197.xml - 2025-12-04T12:21:59.7208326Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7209160Z FAILED [0.2595s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7209171Z 2025-12-04T12:21:59.7209389Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7210120Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7210126Z 2025-12-04T12:21:59.7210391Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7210591Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7210793Z ================== 1 failed, 275 deselected, 2 rerun in 5.14s ================== 2025-12-04T12:21:59.7210892Z Got exit code 1 2025-12-04T12:21:59.7211625Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7212044Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7212629Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-bb80e0e18aac804e.xml 2025-12-04T12:21:59.7212790Z ============================= test session starts ============================== 2025-12-04T12:21:59.7213142Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7213267Z cachedir: .pytest_cache 2025-12-04T12:21:59.7213787Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7214034Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7214159Z configfile: pytest.ini 2025-12-04T12:21:59.7214750Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7214993Z collecting ... collected 571 items / 43 deselected / 528 selected 2025-12-04T12:21:59.7215133Z stepcurrent: skipping 43 already run items. 2025-12-04T12:21:59.7215245Z Running 233 items in this shard 2025-12-04T12:21:59.7215250Z 2025-12-04T12:21:59.7215861Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_float16_cuda PASSED [3.4700s] [ 0%] 2025-12-04T12:21:59.7216579Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0942s] [ 0%] 2025-12-04T12:21:59.7217280Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2691s] [ 0%] 2025-12-04T12:21:59.7217875Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2701s] [ 0%] 2025-12-04T12:21:59.7217937Z 2025-12-04T12:21:59.7218079Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7218459Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7218581Z Traceback (most recent call last): 2025-12-04T12:21:59.7219071Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7219228Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7219751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7219891Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7220081Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7220086Z 2025-12-04T12:21:59.7220317Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7221042Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7221049Z 2025-12-04T12:21:59.7221319Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7221549Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7221661Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7221789Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7222009Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7222135Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7222249Z graph_break [] 2025-12-04T12:21:59.7222467Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7223203Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7223321Z warnings.warn( 2025-12-04T12:21:59.7223687Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7223809Z Traceback (most recent call last): 2025-12-04T12:21:59.7224292Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7224448Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7224980Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7225105Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7225329Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7225334Z 2025-12-04T12:21:59.7225561Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7226286Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7226295Z 2025-12-04T12:21:59.7226574Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7226788Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7226898Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7227028Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7227248Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7227369Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7227526Z graph_break [] 2025-12-04T12:21:59.7227743Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7228487Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7228617Z warnings.warn( 2025-12-04T12:21:59.7228864Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7228989Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7229102Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7229323Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7229459Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7229557Z graph_break [] 2025-12-04T12:21:59.7229790Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7230519Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7230619Z warnings.warn( 2025-12-04T12:21:59.7230771Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7231136Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7231263Z Traceback (most recent call last): 2025-12-04T12:21:59.7231746Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7231897Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7232426Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7232548Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7232738Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7232743Z 2025-12-04T12:21:59.7232971Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7233695Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7233701Z 2025-12-04T12:21:59.7233982Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7234200Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7234311Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7234437Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7234659Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7234779Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7234888Z graph_break [] 2025-12-04T12:21:59.7235101Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7235882Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7235985Z warnings.warn( 2025-12-04T12:21:59.7236201Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7236324Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7236437Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7236659Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7236793Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7236891Z graph_break [] 2025-12-04T12:21:59.7237105Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7237851Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7237953Z warnings.warn( 2025-12-04T12:21:59.7238217Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7238332Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7238451Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7238684Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7238804Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7238934Z graph_break [] 2025-12-04T12:21:59.7239188Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7239914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7240027Z warnings.warn( 2025-12-04T12:21:59.7240784Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-bb80e0e18aac804e.xml - 2025-12-04T12:21:59.7240958Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7241810Z FAILED [0.2701s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7241816Z 2025-12-04T12:21:59.7242029Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7242770Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7242776Z 2025-12-04T12:21:59.7243042Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7243218Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7243443Z ============= 1 failed, 1 passed, 43 deselected, 2 rerun in 5.79s ============== 2025-12-04T12:21:59.7243544Z Got exit code 1 2025-12-04T12:21:59.7243668Z Retrying single test... 2025-12-04T12:21:59.7244248Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-55707ab473a65c47.xml 2025-12-04T12:21:59.7244412Z ============================= test session starts ============================== 2025-12-04T12:21:59.7244779Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7244893Z cachedir: .pytest_cache 2025-12-04T12:21:59.7245412Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7245553Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7245669Z configfile: pytest.ini 2025-12-04T12:21:59.7246277Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7246506Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7247358Z stepcurrent: skipping 44 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7247494Z Running 1 items in this shard 2025-12-04T12:21:59.7247499Z 2025-12-04T12:21:59.7248190Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9706s] [100%] 2025-12-04T12:21:59.7248900Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.3095s] [100%] 2025-12-04T12:21:59.7249500Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2881s] [100%] 2025-12-04T12:21:59.7249506Z 2025-12-04T12:21:59.7249663Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7250071Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7250200Z Traceback (most recent call last): 2025-12-04T12:21:59.7250697Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7250861Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7251544Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7251688Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7251883Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7251888Z 2025-12-04T12:21:59.7252121Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7252856Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7252861Z 2025-12-04T12:21:59.7253131Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7253366Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7253480Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7253611Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7253738Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7253961Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7254077Z graph_break [] 2025-12-04T12:21:59.7254292Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7255024Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7255146Z warnings.warn( 2025-12-04T12:21:59.7255517Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7255661Z Traceback (most recent call last): 2025-12-04T12:21:59.7256134Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7256289Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7256819Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7256949Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7257140Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7257144Z 2025-12-04T12:21:59.7257375Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7258099Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7258104Z 2025-12-04T12:21:59.7258387Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7258640Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7258754Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7258881Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7259000Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7259224Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7259334Z graph_break [] 2025-12-04T12:21:59.7259547Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7260296Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7260397Z warnings.warn( 2025-12-04T12:21:59.7260609Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7260762Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7260876Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7261097Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7261230Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7261329Z graph_break [] 2025-12-04T12:21:59.7261551Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7262343Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7262444Z warnings.warn( 2025-12-04T12:21:59.7262601Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7262967Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7263089Z Traceback (most recent call last): 2025-12-04T12:21:59.7263577Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7263736Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7264268Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7264394Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7264587Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7264594Z 2025-12-04T12:21:59.7264826Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7265549Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7265554Z 2025-12-04T12:21:59.7265833Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7266048Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7266161Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7266292Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7266413Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7266632Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7266744Z graph_break [] 2025-12-04T12:21:59.7266959Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7267714Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7267816Z warnings.warn( 2025-12-04T12:21:59.7268032Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7268152Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7268264Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7268484Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7268618Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7268716Z graph_break [] 2025-12-04T12:21:59.7268988Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7269721Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7269825Z warnings.warn( 2025-12-04T12:21:59.7270050Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7270161Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7270276Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7270507Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7270628Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7270723Z graph_break [] 2025-12-04T12:21:59.7270947Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7271705Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7271826Z warnings.warn( 2025-12-04T12:21:59.7272578Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-55707ab473a65c47.xml - 2025-12-04T12:21:59.7272810Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7273664Z FAILED [0.2881s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7273670Z 2025-12-04T12:21:59.7273887Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7274624Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7274629Z 2025-12-04T12:21:59.7274896Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7275072Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7275282Z ================== 1 failed, 275 deselected, 2 rerun in 5.26s ================== 2025-12-04T12:21:59.7275386Z Got exit code 1 2025-12-04T12:21:59.7275506Z Retrying single test... 2025-12-04T12:21:59.7276079Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-576e710ee6838dd6.xml 2025-12-04T12:21:59.7276238Z ============================= test session starts ============================== 2025-12-04T12:21:59.7276601Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7276710Z cachedir: .pytest_cache 2025-12-04T12:21:59.7277245Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7277371Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7277482Z configfile: pytest.ini 2025-12-04T12:21:59.7278085Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7278315Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7279122Z stepcurrent: skipping 44 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7279248Z Running 1 items in this shard 2025-12-04T12:21:59.7279253Z 2025-12-04T12:21:59.7279940Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9499s] [100%] 2025-12-04T12:21:59.7280669Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2894s] [100%] 2025-12-04T12:21:59.7281267Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2857s] [100%] 2025-12-04T12:21:59.7281275Z 2025-12-04T12:21:59.7281427Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7281794Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7281915Z Traceback (most recent call last): 2025-12-04T12:21:59.7282404Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7282559Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7283111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7283247Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7283439Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7283444Z 2025-12-04T12:21:59.7283673Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7284399Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7284462Z 2025-12-04T12:21:59.7284728Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7284957Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7285068Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7285193Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7285313Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7285536Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7285648Z graph_break [] 2025-12-04T12:21:59.7285865Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7286597Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7286710Z warnings.warn( 2025-12-04T12:21:59.7287081Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7287215Z Traceback (most recent call last): 2025-12-04T12:21:59.7287687Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7287840Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7288370Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7288495Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7288688Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7288695Z 2025-12-04T12:21:59.7288918Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7289642Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7289652Z 2025-12-04T12:21:59.7289930Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7290147Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7290259Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7290389Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7290512Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7290743Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7290841Z graph_break [] 2025-12-04T12:21:59.7291151Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7291940Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7292044Z warnings.warn( 2025-12-04T12:21:59.7292259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7292385Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7292500Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7292719Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7292858Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7292959Z graph_break [] 2025-12-04T12:21:59.7293187Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7293946Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7294049Z warnings.warn( 2025-12-04T12:21:59.7294207Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7294703Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7294862Z Traceback (most recent call last): 2025-12-04T12:21:59.7295384Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7295537Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7296064Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7296187Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7296379Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7296384Z 2025-12-04T12:21:59.7296613Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7297339Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7297345Z 2025-12-04T12:21:59.7297622Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7297840Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7297952Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7298082Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7298201Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7298421Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7298534Z graph_break [] 2025-12-04T12:21:59.7298748Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7299505Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7299614Z warnings.warn( 2025-12-04T12:21:59.7299829Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7299956Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7300070Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7300297Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7300437Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7300540Z graph_break [] 2025-12-04T12:21:59.7300771Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7301502Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7301604Z warnings.warn( 2025-12-04T12:21:59.7301833Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7301949Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7302097Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7302333Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7302456Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7302570Z graph_break [] 2025-12-04T12:21:59.7302786Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7303518Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7303636Z warnings.warn( 2025-12-04T12:21:59.7304391Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-576e710ee6838dd6.xml - 2025-12-04T12:21:59.7304705Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7305640Z FAILED [0.2857s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7305646Z 2025-12-04T12:21:59.7305863Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7306599Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7306707Z 2025-12-04T12:21:59.7306975Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7307169Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7307369Z ================== 1 failed, 275 deselected, 2 rerun in 5.24s ================== 2025-12-04T12:21:59.7307471Z Got exit code 1 2025-12-04T12:21:59.7308133Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7308551Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7309125Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5c90c337197ffe12.xml 2025-12-04T12:21:59.7309305Z ============================= test session starts ============================== 2025-12-04T12:21:59.7309656Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7309782Z cachedir: .pytest_cache 2025-12-04T12:21:59.7310304Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7310429Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7310551Z configfile: pytest.ini 2025-12-04T12:21:59.7311142Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7311380Z collecting ... collected 571 items / 45 deselected / 526 selected 2025-12-04T12:21:59.7311520Z stepcurrent: skipping 45 already run items. 2025-12-04T12:21:59.7311636Z Running 231 items in this shard 2025-12-04T12:21:59.7311643Z 2025-12-04T12:21:59.7312258Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_float16_cuda PASSED [3.4248s] [ 0%] 2025-12-04T12:21:59.7312853Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_True_float16_cuda PASSED [0.3050s] [ 0%] 2025-12-04T12:21:59.7313442Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isnan_load_upcast_to_fp32_False_float16_cuda PASSED [0.3047s] [ 1%] 2025-12-04T12:21:59.7314146Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.4299s] [ 1%] 2025-12-04T12:21:59.7314879Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2732s] [ 1%] 2025-12-04T12:21:59.7315492Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2746s] [ 1%] 2025-12-04T12:21:59.7315502Z 2025-12-04T12:21:59.7315642Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7316024Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7316146Z Traceback (most recent call last): 2025-12-04T12:21:59.7316622Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7316790Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7317342Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7317468Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7317674Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7317680Z 2025-12-04T12:21:59.7317892Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7318698Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7318703Z 2025-12-04T12:21:59.7318974Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7319190Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7319317Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7319430Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7319669Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7319791Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7319889Z graph_break [] 2025-12-04T12:21:59.7320115Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7320848Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7320955Z warnings.warn( 2025-12-04T12:21:59.7321344Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7321467Z Traceback (most recent call last): 2025-12-04T12:21:59.7321958Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7322111Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7322631Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7322770Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7322960Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7322965Z 2025-12-04T12:21:59.7323193Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7323928Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7323936Z 2025-12-04T12:21:59.7324202Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7324430Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7324545Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7324661Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7324894Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7325017Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7325125Z graph_break [] 2025-12-04T12:21:59.7325369Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7326102Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7326222Z warnings.warn( 2025-12-04T12:21:59.7326438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7326546Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7326672Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7326893Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7327027Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7327123Z graph_break [] 2025-12-04T12:21:59.7327338Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7328116Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7328218Z warnings.warn( 2025-12-04T12:21:59.7328360Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7328745Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7328928Z Traceback (most recent call last): 2025-12-04T12:21:59.7329415Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7329571Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7330090Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7330226Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7330417Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7330422Z 2025-12-04T12:21:59.7330638Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7331466Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7331475Z 2025-12-04T12:21:59.7331743Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7331974Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7332085Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7332201Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7332441Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7332564Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7332677Z graph_break [] 2025-12-04T12:21:59.7332891Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7333628Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7333743Z warnings.warn( 2025-12-04T12:21:59.7333958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7334069Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7334197Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7334418Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7334538Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7334646Z graph_break [] 2025-12-04T12:21:59.7334860Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7335598Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7335701Z warnings.warn( 2025-12-04T12:21:59.7335949Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7336075Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7336187Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7336408Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7336542Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7336641Z graph_break [] 2025-12-04T12:21:59.7336867Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7337592Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7337698Z warnings.warn( 2025-12-04T12:21:59.7338461Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5c90c337197ffe12.xml - 2025-12-04T12:21:59.7338662Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7339524Z FAILED [0.2746s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7339530Z 2025-12-04T12:21:59.7339773Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7340537Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7340543Z 2025-12-04T12:21:59.7340821Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7340998Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7341223Z ============= 1 failed, 3 passed, 45 deselected, 2 rerun in 6.71s ============== 2025-12-04T12:21:59.7341323Z Got exit code 1 2025-12-04T12:21:59.7341429Z Retrying single test... 2025-12-04T12:21:59.7342023Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-cd09b15cb5ee6d13.xml 2025-12-04T12:21:59.7342186Z ============================= test session starts ============================== 2025-12-04T12:21:59.7342538Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7342661Z cachedir: .pytest_cache 2025-12-04T12:21:59.7343179Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7343314Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7343424Z configfile: pytest.ini 2025-12-04T12:21:59.7344018Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7344259Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7345078Z stepcurrent: skipping 48 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7345205Z Running 1 items in this shard 2025-12-04T12:21:59.7345213Z 2025-12-04T12:21:59.7345909Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9309s] [100%] 2025-12-04T12:21:59.7346602Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2755s] [100%] 2025-12-04T12:21:59.7347219Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2734s] [100%] 2025-12-04T12:21:59.7347224Z 2025-12-04T12:21:59.7347369Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7347790Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7347915Z Traceback (most recent call last): 2025-12-04T12:21:59.7348392Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7348570Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7349087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7349223Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7349414Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7349419Z 2025-12-04T12:21:59.7349632Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7350405Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7350414Z 2025-12-04T12:21:59.7350684Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7350915Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7351072Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7351217Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7351351Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7351571Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7351672Z graph_break [] 2025-12-04T12:21:59.7351899Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7352634Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7352735Z warnings.warn( 2025-12-04T12:21:59.7353124Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7353249Z Traceback (most recent call last): 2025-12-04T12:21:59.7353736Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7353892Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7354416Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7354554Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7354744Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7354749Z 2025-12-04T12:21:59.7354981Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7355714Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7355719Z 2025-12-04T12:21:59.7355992Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7356228Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7356344Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7356461Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7356609Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7356832Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7356948Z graph_break [] 2025-12-04T12:21:59.7357165Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7357899Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7358022Z warnings.warn( 2025-12-04T12:21:59.7358248Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7358362Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7358529Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7358753Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7358889Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7358995Z graph_break [] 2025-12-04T12:21:59.7359214Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7359968Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7360073Z warnings.warn( 2025-12-04T12:21:59.7360220Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7360615Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7360745Z Traceback (most recent call last): 2025-12-04T12:21:59.7361271Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7361431Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7361949Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7362124Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7362347Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7362353Z 2025-12-04T12:21:59.7362573Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7363313Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7363318Z 2025-12-04T12:21:59.7363583Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7363816Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7363930Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7364044Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7364182Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7364401Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7364512Z graph_break [] 2025-12-04T12:21:59.7364729Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7365460Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7365578Z warnings.warn( 2025-12-04T12:21:59.7365793Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7365901Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7366028Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7366246Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7366381Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7366480Z graph_break [] 2025-12-04T12:21:59.7366689Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7367429Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7367534Z warnings.warn( 2025-12-04T12:21:59.7367746Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7367866Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7367980Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7368197Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7368328Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7368424Z graph_break [] 2025-12-04T12:21:59.7368656Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7369414Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7369517Z warnings.warn( 2025-12-04T12:21:59.7370288Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-cd09b15cb5ee6d13.xml - 2025-12-04T12:21:59.7370461Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7371403Z FAILED [0.2734s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7371410Z 2025-12-04T12:21:59.7371627Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7372396Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7372402Z 2025-12-04T12:21:59.7372687Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7372863Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7373106Z ================== 1 failed, 275 deselected, 2 rerun in 5.22s ================== 2025-12-04T12:21:59.7373239Z Got exit code 1 2025-12-04T12:21:59.7373345Z Retrying single test... 2025-12-04T12:21:59.7373937Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-b291b4ff5bfc41cb.xml 2025-12-04T12:21:59.7374100Z ============================= test session starts ============================== 2025-12-04T12:21:59.7374450Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7374575Z cachedir: .pytest_cache 2025-12-04T12:21:59.7375096Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7375231Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7375340Z configfile: pytest.ini 2025-12-04T12:21:59.7375929Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7376173Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7376988Z stepcurrent: skipping 48 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7377113Z Running 1 items in this shard 2025-12-04T12:21:59.7377118Z 2025-12-04T12:21:59.7377811Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9362s] [100%] 2025-12-04T12:21:59.7378505Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2835s] [100%] 2025-12-04T12:21:59.7379118Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2713s] [100%] 2025-12-04T12:21:59.7379127Z 2025-12-04T12:21:59.7379266Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7379647Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7379769Z Traceback (most recent call last): 2025-12-04T12:21:59.7380246Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7380417Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7380974Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7381113Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7381304Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7381309Z 2025-12-04T12:21:59.7381520Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7382274Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7382279Z 2025-12-04T12:21:59.7382546Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7382778Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7382890Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7383006Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7383139Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7383388Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7383488Z graph_break [] 2025-12-04T12:21:59.7383715Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7384448Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7384700Z warnings.warn( 2025-12-04T12:21:59.7385074Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7385198Z Traceback (most recent call last): 2025-12-04T12:21:59.7385687Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7385844Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7386366Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7386510Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7386702Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7386707Z 2025-12-04T12:21:59.7386938Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7387669Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7387679Z 2025-12-04T12:21:59.7387947Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7388180Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7388292Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7388423Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7388546Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7388768Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7388877Z graph_break [] 2025-12-04T12:21:59.7389096Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7389830Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7389948Z warnings.warn( 2025-12-04T12:21:59.7390163Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7390273Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7390399Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7390616Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7390748Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7390847Z graph_break [] 2025-12-04T12:21:59.7391061Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7391834Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7391935Z warnings.warn( 2025-12-04T12:21:59.7392075Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7392463Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7392591Z Traceback (most recent call last): 2025-12-04T12:21:59.7393079Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7393232Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7393751Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7393886Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7394075Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7394129Z 2025-12-04T12:21:59.7394359Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7395089Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7395095Z 2025-12-04T12:21:59.7395390Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7395646Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7395759Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7395874Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7396006Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7396224Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7396333Z graph_break [] 2025-12-04T12:21:59.7396546Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7397279Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7397395Z warnings.warn( 2025-12-04T12:21:59.7397608Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7397720Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7397848Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7398064Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7398199Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7398297Z graph_break [] 2025-12-04T12:21:59.7398512Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7399252Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7399352Z warnings.warn( 2025-12-04T12:21:59.7399568Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7399695Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7399811Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7400044Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7400165Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7400266Z graph_break [] 2025-12-04T12:21:59.7400492Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7401219Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7401322Z warnings.warn( 2025-12-04T12:21:59.7402088Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-b291b4ff5bfc41cb.xml - 2025-12-04T12:21:59.7402259Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7403147Z FAILED [0.2713s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7403153Z 2025-12-04T12:21:59.7403369Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7404103Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7404121Z 2025-12-04T12:21:59.7404384Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7404739Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7404950Z ================== 1 failed, 275 deselected, 2 rerun in 5.18s ================== 2025-12-04T12:21:59.7405050Z Got exit code 1 2025-12-04T12:21:59.7405759Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7406188Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7406759Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f2054823e34a5ce2.xml 2025-12-04T12:21:59.7407018Z ============================= test session starts ============================== 2025-12-04T12:21:59.7407368Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7407477Z cachedir: .pytest_cache 2025-12-04T12:21:59.7408019Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7408149Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7408261Z configfile: pytest.ini 2025-12-04T12:21:59.7408869Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7409097Z collecting ... collected 571 items / 49 deselected / 522 selected 2025-12-04T12:21:59.7409255Z stepcurrent: skipping 49 already run items. 2025-12-04T12:21:59.7409374Z Running 227 items in this shard 2025-12-04T12:21:59.7409381Z 2025-12-04T12:21:59.7409991Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_float16_cuda PASSED [3.5740s] [ 0%] 2025-12-04T12:21:59.7410605Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_True_float16_cuda PASSED [0.4208s] [ 0%] 2025-12-04T12:21:59.7411280Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_False_float16_cuda PASSED [0.3263s] [ 1%] 2025-12-04T12:21:59.7411979Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0955s] [ 1%] 2025-12-04T12:21:59.7412654Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2900s] [ 1%] 2025-12-04T12:21:59.7413247Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2844s] [ 1%] 2025-12-04T12:21:59.7413269Z 2025-12-04T12:21:59.7413413Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7413774Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7413912Z Traceback (most recent call last): 2025-12-04T12:21:59.7414392Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7414550Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7415137Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7415265Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7415471Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7415479Z 2025-12-04T12:21:59.7415696Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7416417Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7416423Z 2025-12-04T12:21:59.7416704Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7416924Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7417050Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7417201Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7417427Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7417565Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7417668Z graph_break [] 2025-12-04T12:21:59.7417882Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7418663Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7418802Z warnings.warn( 2025-12-04T12:21:59.7419178Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7419302Z Traceback (most recent call last): 2025-12-04T12:21:59.7419780Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7419951Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7420474Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7420600Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7420806Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7420811Z 2025-12-04T12:21:59.7421028Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7421769Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7421774Z 2025-12-04T12:21:59.7422042Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7422259Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7422385Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7422502Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7422736Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7422863Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7422958Z graph_break [] 2025-12-04T12:21:59.7423186Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7423918Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7424022Z warnings.warn( 2025-12-04T12:21:59.7424246Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7424356Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7424485Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7424703Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7424821Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7424927Z graph_break [] 2025-12-04T12:21:59.7425145Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7425904Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7426016Z warnings.warn( 2025-12-04T12:21:59.7426157Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7426523Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7426656Z Traceback (most recent call last): 2025-12-04T12:21:59.7427128Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7427292Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7427808Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7427962Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7428169Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7428174Z 2025-12-04T12:21:59.7428388Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7429121Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7429183Z 2025-12-04T12:21:59.7429451Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7429666Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7429791Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7429906Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7430131Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7430268Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7430366Z graph_break [] 2025-12-04T12:21:59.7430591Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7431324Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7431424Z warnings.warn( 2025-12-04T12:21:59.7431652Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7431765Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7431878Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7432110Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7432230Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7432339Z graph_break [] 2025-12-04T12:21:59.7432555Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7433285Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7433399Z warnings.warn( 2025-12-04T12:21:59.7433612Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7433721Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7433848Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7434071Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7434210Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7434307Z graph_break [] 2025-12-04T12:21:59.7434518Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7435256Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7435357Z warnings.warn( 2025-12-04T12:21:59.7436118Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f2054823e34a5ce2.xml - 2025-12-04T12:21:59.7436346Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7437177Z FAILED [0.2844s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7437187Z 2025-12-04T12:21:59.7437412Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7438129Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7438135Z 2025-12-04T12:21:59.7438414Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7438589Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7438833Z ============= 1 failed, 3 passed, 49 deselected, 2 rerun in 6.70s ============== 2025-12-04T12:21:59.7438949Z Got exit code 1 2025-12-04T12:21:59.7439056Z Retrying single test... 2025-12-04T12:21:59.7439628Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-c54d26071f680145.xml 2025-12-04T12:21:59.7439803Z ============================= test session starts ============================== 2025-12-04T12:21:59.7440211Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7440333Z cachedir: .pytest_cache 2025-12-04T12:21:59.7440852Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7440974Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7441097Z configfile: pytest.ini 2025-12-04T12:21:59.7441692Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7441920Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7442740Z stepcurrent: skipping 52 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7442855Z Running 1 items in this shard 2025-12-04T12:21:59.7442863Z 2025-12-04T12:21:59.7443558Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9506s] [100%] 2025-12-04T12:21:59.7444233Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2780s] [100%] 2025-12-04T12:21:59.7444827Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2725s] [100%] 2025-12-04T12:21:59.7444848Z 2025-12-04T12:21:59.7444989Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7445348Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7445481Z Traceback (most recent call last): 2025-12-04T12:21:59.7445956Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7446116Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7446648Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7446770Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7446972Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7446977Z 2025-12-04T12:21:59.7447190Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7447957Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7447963Z 2025-12-04T12:21:59.7448243Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7448459Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7448585Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7448700Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7448820Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7449055Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7449154Z graph_break [] 2025-12-04T12:21:59.7449367Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7450145Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7450247Z warnings.warn( 2025-12-04T12:21:59.7450620Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7450741Z Traceback (most recent call last): 2025-12-04T12:21:59.7451304Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7451544Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7452062Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7452185Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7452386Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7452392Z 2025-12-04T12:21:59.7452605Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7453339Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7453347Z 2025-12-04T12:21:59.7453611Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7453826Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7453953Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7454073Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7454212Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7454433Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7454533Z graph_break [] 2025-12-04T12:21:59.7454761Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7455492Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7455593Z warnings.warn( 2025-12-04T12:21:59.7455824Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7455937Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7456067Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7456286Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7456408Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7456519Z graph_break [] 2025-12-04T12:21:59.7456736Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7457465Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7457578Z warnings.warn( 2025-12-04T12:21:59.7457718Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7458090Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7458213Z Traceback (most recent call last): 2025-12-04T12:21:59.7458718Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7458886Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7459489Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7459698Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7466416Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7466443Z 2025-12-04T12:21:59.7466860Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7467598Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7467609Z 2025-12-04T12:21:59.7467994Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7468224Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7468349Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7468463Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7468586Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7468827Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7469003Z graph_break [] 2025-12-04T12:21:59.7469222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7469974Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7470076Z warnings.warn( 2025-12-04T12:21:59.7470309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7470418Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7470536Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7470771Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7470891Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7470993Z graph_break [] 2025-12-04T12:21:59.7471222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7471956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7472065Z warnings.warn( 2025-12-04T12:21:59.7472294Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7472405Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7472537Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7472762Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7472886Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7473001Z graph_break [] 2025-12-04T12:21:59.7473222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7473952Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7474076Z warnings.warn( 2025-12-04T12:21:59.7474841Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-c54d26071f680145.xml - 2025-12-04T12:21:59.7475026Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7475854Z FAILED [0.2725s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7475861Z 2025-12-04T12:21:59.7476082Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7476855Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7476862Z 2025-12-04T12:21:59.7477136Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7477333Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7477541Z ================== 1 failed, 275 deselected, 2 rerun in 5.22s ================== 2025-12-04T12:21:59.7477648Z Got exit code 1 2025-12-04T12:21:59.7477772Z Retrying single test... 2025-12-04T12:21:59.7478348Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-414c574268d490e2.xml 2025-12-04T12:21:59.7478527Z ============================= test session starts ============================== 2025-12-04T12:21:59.7478909Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7479022Z cachedir: .pytest_cache 2025-12-04T12:21:59.7479560Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7479683Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7479793Z configfile: pytest.ini 2025-12-04T12:21:59.7480432Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7480713Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7481527Z stepcurrent: skipping 52 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7481641Z Running 1 items in this shard 2025-12-04T12:21:59.7481646Z 2025-12-04T12:21:59.7482326Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9663s] [100%] 2025-12-04T12:21:59.7483018Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.3002s] [100%] 2025-12-04T12:21:59.7483610Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2989s] [100%] 2025-12-04T12:21:59.7483620Z 2025-12-04T12:21:59.7483773Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7484135Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7484255Z Traceback (most recent call last): 2025-12-04T12:21:59.7484744Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7484903Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7485448Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7485570Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7485759Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7485764Z 2025-12-04T12:21:59.7485992Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7486707Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7486713Z 2025-12-04T12:21:59.7486993Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7487208Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7487318Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7487447Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7487570Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7487821Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7487933Z graph_break [] 2025-12-04T12:21:59.7488146Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7488887Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7488992Z warnings.warn( 2025-12-04T12:21:59.7489354Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7489490Z Traceback (most recent call last): 2025-12-04T12:21:59.7489958Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7490113Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7490670Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7490796Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7490999Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7491004Z 2025-12-04T12:21:59.7491353Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7492115Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7492166Z 2025-12-04T12:21:59.7492433Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7492650Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7492779Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7492892Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7493015Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7493249Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7493347Z graph_break [] 2025-12-04T12:21:59.7493560Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7494305Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7494411Z warnings.warn( 2025-12-04T12:21:59.7494637Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7494745Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7494857Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7495087Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7495206Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7495348Z graph_break [] 2025-12-04T12:21:59.7495653Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7496394Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7496506Z warnings.warn( 2025-12-04T12:21:59.7496649Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7497013Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7497152Z Traceback (most recent call last): 2025-12-04T12:21:59.7497630Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7497784Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7498314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7498440Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7498643Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7498649Z 2025-12-04T12:21:59.7498909Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7499632Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7499640Z 2025-12-04T12:21:59.7499925Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7500139Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7500263Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7500381Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7500504Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7500736Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7500838Z graph_break [] 2025-12-04T12:21:59.7501086Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7501836Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7501940Z warnings.warn( 2025-12-04T12:21:59.7502164Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7502931Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7503077Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7503310Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7503432Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7503530Z graph_break [] 2025-12-04T12:21:59.7503755Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7504666Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7504783Z warnings.warn( 2025-12-04T12:21:59.7505002Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7505113Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7505241Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7505461Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7505585Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7505698Z graph_break [] 2025-12-04T12:21:59.7505914Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7506642Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7506761Z warnings.warn( 2025-12-04T12:21:59.7507514Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-414c574268d490e2.xml - 2025-12-04T12:21:59.7507701Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7508535Z FAILED [0.2989s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7508541Z 2025-12-04T12:21:59.7508758Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7509496Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7509502Z 2025-12-04T12:21:59.7509768Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7509959Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7510157Z ================== 1 failed, 275 deselected, 2 rerun in 5.24s ================== 2025-12-04T12:21:59.7510258Z Got exit code 1 2025-12-04T12:21:59.7510982Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7511402Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7511994Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-afd4b129488d7324.xml 2025-12-04T12:21:59.7512163Z ============================= test session starts ============================== 2025-12-04T12:21:59.7512514Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7512641Z cachedir: .pytest_cache 2025-12-04T12:21:59.7513164Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7513305Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7513462Z configfile: pytest.ini 2025-12-04T12:21:59.7514056Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7514293Z collecting ... collected 571 items / 53 deselected / 518 selected 2025-12-04T12:21:59.7514434Z stepcurrent: skipping 53 already run items. 2025-12-04T12:21:59.7514635Z Running 223 items in this shard 2025-12-04T12:21:59.7514640Z 2025-12-04T12:21:59.7515344Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9088s] [ 0%] 2025-12-04T12:21:59.7516022Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2611s] [ 0%] 2025-12-04T12:21:59.7516626Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2635s] [ 0%] 2025-12-04T12:21:59.7516632Z 2025-12-04T12:21:59.7516772Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7517147Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7517271Z Traceback (most recent call last): 2025-12-04T12:21:59.7517748Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7517924Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7518450Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7518571Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7518780Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7518785Z 2025-12-04T12:21:59.7518999Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7519741Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7519746Z 2025-12-04T12:21:59.7520014Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7520232Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7520361Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7520476Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7520609Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7520830Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7520931Z graph_break [] 2025-12-04T12:21:59.7521161Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7521902Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7522007Z warnings.warn( 2025-12-04T12:21:59.7522422Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7522547Z Traceback (most recent call last): 2025-12-04T12:21:59.7523032Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7523188Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7523705Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7523843Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7524036Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7524042Z 2025-12-04T12:21:59.7524256Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7525023Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7525030Z 2025-12-04T12:21:59.7525298Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7525526Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7525690Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7525834Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7525970Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7526186Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7526284Z graph_break [] 2025-12-04T12:21:59.7526509Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7527247Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7527363Z warnings.warn( 2025-12-04T12:21:59.7527578Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7527688Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7527812Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7528031Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7528157Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7528274Z graph_break [] 2025-12-04T12:21:59.7528486Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7529227Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7529328Z warnings.warn( 2025-12-04T12:21:59.7529471Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7529857Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7529981Z Traceback (most recent call last): 2025-12-04T12:21:59.7530458Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7530625Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7531228Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7531371Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7531559Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7531564Z 2025-12-04T12:21:59.7531777Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7532508Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7532514Z 2025-12-04T12:21:59.7532781Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7533049Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7533165Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7533278Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7533411Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7533633Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7533735Z graph_break [] 2025-12-04T12:21:59.7533963Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7534703Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7534818Z warnings.warn( 2025-12-04T12:21:59.7535031Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7535140Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7535300Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7535521Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7535645Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7535756Z graph_break [] 2025-12-04T12:21:59.7535968Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7536739Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7536869Z warnings.warn( 2025-12-04T12:21:59.7537081Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7537207Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7537323Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7537542Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7537675Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7537772Z graph_break [] 2025-12-04T12:21:59.7537988Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7538728Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7538830Z warnings.warn( 2025-12-04T12:21:59.7539596Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-afd4b129488d7324.xml - 2025-12-04T12:21:59.7539765Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7540594Z FAILED [0.2635s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7540613Z 2025-12-04T12:21:59.7540828Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7541549Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7541555Z 2025-12-04T12:21:59.7541831Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7542009Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7542208Z ================== 1 failed, 53 deselected, 2 rerun in 5.11s =================== 2025-12-04T12:21:59.7542318Z Got exit code 1 2025-12-04T12:21:59.7542426Z Retrying single test... 2025-12-04T12:21:59.7543017Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f4f269abd7b13608.xml 2025-12-04T12:21:59.7543180Z ============================= test session starts ============================== 2025-12-04T12:21:59.7543530Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7543652Z cachedir: .pytest_cache 2025-12-04T12:21:59.7544206Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7544346Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7544453Z configfile: pytest.ini 2025-12-04T12:21:59.7545047Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7545290Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7546096Z stepcurrent: skipping 53 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7546211Z Running 1 items in this shard 2025-12-04T12:21:59.7546216Z 2025-12-04T12:21:59.7546941Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9593s] [100%] 2025-12-04T12:21:59.7547622Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2866s] [100%] 2025-12-04T12:21:59.7548255Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2835s] [100%] 2025-12-04T12:21:59.7548289Z 2025-12-04T12:21:59.7548432Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7548802Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7548925Z Traceback (most recent call last): 2025-12-04T12:21:59.7549400Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7549569Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7550092Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7550215Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7550416Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7550424Z 2025-12-04T12:21:59.7550638Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7551370Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7551375Z 2025-12-04T12:21:59.7551640Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7551857Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7551979Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7552096Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7552233Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7552457Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7552554Z graph_break [] 2025-12-04T12:21:59.7552781Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7553514Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7553620Z warnings.warn( 2025-12-04T12:21:59.7553993Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7554115Z Traceback (most recent call last): 2025-12-04T12:21:59.7554598Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7554753Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7555307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7555445Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7555636Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7555641Z 2025-12-04T12:21:59.7555853Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7556590Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7556596Z 2025-12-04T12:21:59.7556861Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7557090Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7557203Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7557316Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7557449Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7557698Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7557800Z graph_break [] 2025-12-04T12:21:59.7558026Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7558760Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7558930Z warnings.warn( 2025-12-04T12:21:59.7559141Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7559252Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7559383Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7559602Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7559721Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7559831Z graph_break [] 2025-12-04T12:21:59.7560045Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7560789Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7560890Z warnings.warn( 2025-12-04T12:21:59.7561035Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7561412Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7561535Z Traceback (most recent call last): 2025-12-04T12:21:59.7562008Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7562177Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7562694Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7562830Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7563023Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7563028Z 2025-12-04T12:21:59.7563245Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7563978Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7563988Z 2025-12-04T12:21:59.7564253Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7564481Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7564595Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7564709Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7564843Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7565061Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7565158Z graph_break [] 2025-12-04T12:21:59.7565386Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7566146Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7566260Z warnings.warn( 2025-12-04T12:21:59.7566473Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7566586Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7566712Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7566930Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7567049Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7567159Z graph_break [] 2025-12-04T12:21:59.7567370Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7568153Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7568252Z warnings.warn( 2025-12-04T12:21:59.7568467Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7568589Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7568701Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7568920Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7569183Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7569279Z graph_break [] 2025-12-04T12:21:59.7569491Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7570232Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7570330Z warnings.warn( 2025-12-04T12:21:59.7571199Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f4f269abd7b13608.xml - 2025-12-04T12:21:59.7571374Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7572221Z FAILED [0.2835s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7572229Z 2025-12-04T12:21:59.7572449Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7573186Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7573192Z 2025-12-04T12:21:59.7573456Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7573633Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7573847Z ================== 1 failed, 275 deselected, 2 rerun in 5.24s ================== 2025-12-04T12:21:59.7573946Z Got exit code 1 2025-12-04T12:21:59.7574057Z Retrying single test... 2025-12-04T12:21:59.7574645Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f3b946c34e04acb3.xml 2025-12-04T12:21:59.7574806Z ============================= test session starts ============================== 2025-12-04T12:21:59.7575176Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7575281Z cachedir: .pytest_cache 2025-12-04T12:21:59.7575803Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7575938Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7576047Z configfile: pytest.ini 2025-12-04T12:21:59.7576638Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7576919Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7577719Z stepcurrent: skipping 53 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7577846Z Running 1 items in this shard 2025-12-04T12:21:59.7577855Z 2025-12-04T12:21:59.7578535Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9568s] [100%] 2025-12-04T12:21:59.7579228Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2872s] [100%] 2025-12-04T12:21:59.7579816Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2853s] [100%] 2025-12-04T12:21:59.7579822Z 2025-12-04T12:21:59.7579988Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7580365Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7580488Z Traceback (most recent call last): 2025-12-04T12:21:59.7580975Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7581190Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7581717Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7581855Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7582051Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7582056Z 2025-12-04T12:21:59.7582272Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7583011Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7583016Z 2025-12-04T12:21:59.7583283Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7583521Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7583636Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7583762Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7583899Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7584119Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7584218Z graph_break [] 2025-12-04T12:21:59.7584448Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7585180Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7585300Z warnings.warn( 2025-12-04T12:21:59.7585661Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7585782Z Traceback (most recent call last): 2025-12-04T12:21:59.7586267Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7586423Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7586958Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7587082Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7587276Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7587282Z 2025-12-04T12:21:59.7587512Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7588234Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7588239Z 2025-12-04T12:21:59.7588551Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7588766Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7588874Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7588999Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7589122Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7589342Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7589451Z graph_break [] 2025-12-04T12:21:59.7589669Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7590398Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7590503Z warnings.warn( 2025-12-04T12:21:59.7590747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7590869Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7590980Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7591201Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7591332Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7591461Z graph_break [] 2025-12-04T12:21:59.7591702Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7592437Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7592537Z warnings.warn( 2025-12-04T12:21:59.7592696Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7593059Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7593182Z Traceback (most recent call last): 2025-12-04T12:21:59.7593664Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7593816Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7594334Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7594476Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7594667Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7594672Z 2025-12-04T12:21:59.7594893Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7595610Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7595615Z 2025-12-04T12:21:59.7595878Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7596181Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7596340Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7596470Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7596584Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7596802Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7596911Z graph_break [] 2025-12-04T12:21:59.7597126Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7597859Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7597968Z warnings.warn( 2025-12-04T12:21:59.7598179Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7598301Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7598413Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7598636Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7598812Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7598910Z graph_break [] 2025-12-04T12:21:59.7599122Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7599859Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7599964Z warnings.warn( 2025-12-04T12:21:59.7600190Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7600298Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7600409Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7600636Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7600755Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7600855Z graph_break [] 2025-12-04T12:21:59.7601119Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7601851Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7601951Z warnings.warn( 2025-12-04T12:21:59.7602714Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-f3b946c34e04acb3.xml - 2025-12-04T12:21:59.7602944Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7603791Z FAILED [0.2853s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7603796Z 2025-12-04T12:21:59.7604009Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7604906Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7604912Z 2025-12-04T12:21:59.7605179Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7605356Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7605575Z ================== 1 failed, 275 deselected, 2 rerun in 5.26s ================== 2025-12-04T12:21:59.7605675Z Got exit code 1 2025-12-04T12:21:59.7606308Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7606727Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7607294Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-e7d93390f0870d06.xml 2025-12-04T12:21:59.7607471Z ============================= test session starts ============================== 2025-12-04T12:21:59.7607822Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7607931Z cachedir: .pytest_cache 2025-12-04T12:21:59.7608465Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7608591Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7608708Z configfile: pytest.ini 2025-12-04T12:21:59.7609294Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7609519Z collecting ... collected 571 items / 54 deselected / 517 selected 2025-12-04T12:21:59.7609670Z stepcurrent: skipping 54 already run items. 2025-12-04T12:21:59.7609781Z Running 222 items in this shard 2025-12-04T12:21:59.7609786Z 2025-12-04T12:21:59.7610474Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log2_load_upcast_to_fp32_False_float16_cuda PASSED [3.4599s] [ 0%] 2025-12-04T12:21:59.7611159Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log_load_upcast_to_fp32_False_float16_cuda PASSED [0.3377s] [ 0%] 2025-12-04T12:21:59.7611738Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log_load_upcast_to_fp32_True_float16_cuda PASSED [0.3330s] [ 1%] 2025-12-04T12:21:59.7612461Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.1003s] [ 1%] 2025-12-04T12:21:59.7613161Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.3081s] [ 1%] 2025-12-04T12:21:59.7613841Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.3027s] [ 1%] 2025-12-04T12:21:59.7613847Z 2025-12-04T12:21:59.7613984Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7614371Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7614544Z Traceback (most recent call last): 2025-12-04T12:21:59.7615062Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7615228Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7615745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7615865Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7616066Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7616071Z 2025-12-04T12:21:59.7616282Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7617036Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7617056Z 2025-12-04T12:21:59.7617319Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7617535Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7617660Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7617771Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7617992Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7618123Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7618216Z graph_break [] 2025-12-04T12:21:59.7618427Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7619176Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7619277Z warnings.warn( 2025-12-04T12:21:59.7619684Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7619803Z Traceback (most recent call last): 2025-12-04T12:21:59.7620276Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7620444Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7620960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7621094Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7621284Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7621289Z 2025-12-04T12:21:59.7621502Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7622291Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7622297Z 2025-12-04T12:21:59.7622566Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7622794Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7622908Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7623026Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7623256Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7623373Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7623468Z graph_break [] 2025-12-04T12:21:59.7623693Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7624456Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7624569Z warnings.warn( 2025-12-04T12:21:59.7624783Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7624891Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7625014Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7625233Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7625414Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7625520Z graph_break [] 2025-12-04T12:21:59.7625734Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7626458Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7626568Z warnings.warn( 2025-12-04T12:21:59.7626710Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7627111Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7627232Z Traceback (most recent call last): 2025-12-04T12:21:59.7627706Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7627871Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7628392Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7628527Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7628720Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7628726Z 2025-12-04T12:21:59.7628941Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7629700Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7629708Z 2025-12-04T12:21:59.7629976Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7630204Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7630315Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7630435Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7630671Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7630794Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7630891Z graph_break [] 2025-12-04T12:21:59.7631116Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7631852Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7631954Z warnings.warn( 2025-12-04T12:21:59.7632179Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7632291Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7632452Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7632673Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7632796Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7632911Z graph_break [] 2025-12-04T12:21:59.7633124Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7633861Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7633974Z warnings.warn( 2025-12-04T12:21:59.7634187Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7634306Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7634419Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7634637Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7634797Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7634896Z graph_break [] 2025-12-04T12:21:59.7635113Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7635854Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7636010Z warnings.warn( 2025-12-04T12:21:59.7636768Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-e7d93390f0870d06.xml - 2025-12-04T12:21:59.7636936Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7637792Z FAILED [0.3027s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7637798Z 2025-12-04T12:21:59.7638024Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7638770Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7638776Z 2025-12-04T12:21:59.7639049Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7639228Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7639442Z ============= 1 failed, 3 passed, 54 deselected, 2 rerun in 6.55s ============== 2025-12-04T12:21:59.7639555Z Got exit code 1 2025-12-04T12:21:59.7639663Z Retrying single test... 2025-12-04T12:21:59.7640249Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-76c2a903cce42109.xml 2025-12-04T12:21:59.7640405Z ============================= test session starts ============================== 2025-12-04T12:21:59.7640754Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7640875Z cachedir: .pytest_cache 2025-12-04T12:21:59.7641392Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7641519Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7641637Z configfile: pytest.ini 2025-12-04T12:21:59.7642233Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7642471Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7643295Z stepcurrent: skipping 57 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7643409Z Running 1 items in this shard 2025-12-04T12:21:59.7643416Z 2025-12-04T12:21:59.7644176Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9276s] [100%] 2025-12-04T12:21:59.7644885Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2751s] [100%] 2025-12-04T12:21:59.7645519Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2738s] [100%] 2025-12-04T12:21:59.7645525Z 2025-12-04T12:21:59.7645664Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7646050Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7646182Z Traceback (most recent call last): 2025-12-04T12:21:59.7646685Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7646856Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7647374Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7647493Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7647728Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7647777Z 2025-12-04T12:21:59.7647992Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7648748Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7648754Z 2025-12-04T12:21:59.7649017Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7649232Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7649361Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7649475Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7649598Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7649832Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7649929Z graph_break [] 2025-12-04T12:21:59.7650153Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7650892Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7650992Z warnings.warn( 2025-12-04T12:21:59.7651489Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7651610Z Traceback (most recent call last): 2025-12-04T12:21:59.7652080Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7652249Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7652765Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7652901Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7653089Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7653097Z 2025-12-04T12:21:59.7653313Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7654070Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7654075Z 2025-12-04T12:21:59.7654341Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7654574Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7654685Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7654801Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7654973Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7655194Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7655293Z graph_break [] 2025-12-04T12:21:59.7655517Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7656251Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7656367Z warnings.warn( 2025-12-04T12:21:59.7656580Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7656690Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7656811Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7657025Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7657147Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7657283Z graph_break [] 2025-12-04T12:21:59.7657497Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7658235Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7658363Z warnings.warn( 2025-12-04T12:21:59.7658504Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7658934Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7659054Z Traceback (most recent call last): 2025-12-04T12:21:59.7659525Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7659687Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7660205Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7660337Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7660527Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7660532Z 2025-12-04T12:21:59.7660746Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7661503Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7661513Z 2025-12-04T12:21:59.7661777Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7662003Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7662110Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7662225Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7662356Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7662576Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7662673Z graph_break [] 2025-12-04T12:21:59.7662897Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7663631Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7663747Z warnings.warn( 2025-12-04T12:21:59.7663960Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7664070Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7664193Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7664412Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7664533Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7664640Z graph_break [] 2025-12-04T12:21:59.7664850Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7665618Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7665727Z warnings.warn( 2025-12-04T12:21:59.7665942Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7666062Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7666177Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7666399Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7666528Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7666623Z graph_break [] 2025-12-04T12:21:59.7666835Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7667568Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7667666Z warnings.warn( 2025-12-04T12:21:59.7668465Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-76c2a903cce42109.xml - 2025-12-04T12:21:59.7668635Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7669493Z FAILED [0.2738s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7669559Z 2025-12-04T12:21:59.7669787Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7670529Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7670534Z 2025-12-04T12:21:59.7670810Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7670988Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7671185Z ================== 1 failed, 275 deselected, 2 rerun in 5.17s ================== 2025-12-04T12:21:59.7671297Z Got exit code 1 2025-12-04T12:21:59.7671406Z Retrying single test... 2025-12-04T12:21:59.7671995Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5aa3c149399b3bb3.xml 2025-12-04T12:21:59.7672158Z ============================= test session starts ============================== 2025-12-04T12:21:59.7672506Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7672628Z cachedir: .pytest_cache 2025-12-04T12:21:59.7673147Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7673271Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7673389Z configfile: pytest.ini 2025-12-04T12:21:59.7673984Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7674225Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7675056Z stepcurrent: skipping 57 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7675173Z Running 1 items in this shard 2025-12-04T12:21:59.7675179Z 2025-12-04T12:21:59.7675902Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9485s] [100%] 2025-12-04T12:21:59.7676610Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2872s] [100%] 2025-12-04T12:21:59.7677297Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2856s] [100%] 2025-12-04T12:21:59.7677303Z 2025-12-04T12:21:59.7677438Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7677838Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7677965Z Traceback (most recent call last): 2025-12-04T12:21:59.7678438Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7678605Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7679123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7679245Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7679450Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7679455Z 2025-12-04T12:21:59.7679700Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7680459Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7680464Z 2025-12-04T12:21:59.7680728Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7680999Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7681132Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7681249Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7681385Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7681606Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7681705Z graph_break [] 2025-12-04T12:21:59.7681940Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7682679Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7682784Z warnings.warn( 2025-12-04T12:21:59.7683188Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7683313Z Traceback (most recent call last): 2025-12-04T12:21:59.7683806Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7683963Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7684483Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7684622Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7684812Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7684817Z 2025-12-04T12:21:59.7685032Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7685796Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7685801Z 2025-12-04T12:21:59.7686068Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7686305Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7686422Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7686538Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7686680Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7686900Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7687069Z graph_break [] 2025-12-04T12:21:59.7687300Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7688040Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7688189Z warnings.warn( 2025-12-04T12:21:59.7688406Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7688513Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7688644Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7688867Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7688992Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7689105Z graph_break [] 2025-12-04T12:21:59.7689319Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7690063Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7690162Z warnings.warn( 2025-12-04T12:21:59.7690311Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7690750Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7690874Z Traceback (most recent call last): 2025-12-04T12:21:59.7691439Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7691665Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7692214Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7692357Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7692548Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7692554Z 2025-12-04T12:21:59.7692768Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7693528Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7693533Z 2025-12-04T12:21:59.7693802Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7694038Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7694152Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7694270Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7694409Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7694628Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7694728Z graph_break [] 2025-12-04T12:21:59.7694960Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7695697Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7695817Z warnings.warn( 2025-12-04T12:21:59.7696035Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7696148Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7696281Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7696509Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7696632Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7696746Z graph_break [] 2025-12-04T12:21:59.7696963Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7697710Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7697808Z warnings.warn( 2025-12-04T12:21:59.7698023Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7698146Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7698257Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7698479Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7698614Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7698746Z graph_break [] 2025-12-04T12:21:59.7698962Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7699704Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7699808Z warnings.warn( 2025-12-04T12:21:59.7700571Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-5aa3c149399b3bb3.xml - 2025-12-04T12:21:59.7700740Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7701638Z FAILED [0.2856s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7701658Z 2025-12-04T12:21:59.7701878Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7702621Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7702659Z 2025-12-04T12:21:59.7702937Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7703143Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7703356Z ================== 1 failed, 275 deselected, 2 rerun in 5.23s ================== 2025-12-04T12:21:59.7703456Z Got exit code 1 2025-12-04T12:21:59.7704121Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7704711Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7705284Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-68232cc0a466795e.xml 2025-12-04T12:21:59.7705445Z ============================= test session starts ============================== 2025-12-04T12:21:59.7705807Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7705921Z cachedir: .pytest_cache 2025-12-04T12:21:59.7706451Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7706574Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7706684Z configfile: pytest.ini 2025-12-04T12:21:59.7707290Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7707518Z collecting ... collected 571 items / 58 deselected / 513 selected 2025-12-04T12:21:59.7707665Z stepcurrent: skipping 58 already run items. 2025-12-04T12:21:59.7707796Z Running 218 items in this shard 2025-12-04T12:21:59.7707801Z 2025-12-04T12:21:59.7708426Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_float16_cuda PASSED [3.5256s] [ 0%] 2025-12-04T12:21:59.7709026Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_False_float16_cuda PASSED [0.3642s] [ 0%] 2025-12-04T12:21:59.7709698Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0956s] [ 1%] 2025-12-04T12:21:59.7710378Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2893s] [ 1%] 2025-12-04T12:21:59.7710958Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2843s] [ 1%] 2025-12-04T12:21:59.7710964Z 2025-12-04T12:21:59.7711169Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7711538Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7711664Z Traceback (most recent call last): 2025-12-04T12:21:59.7712157Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7712316Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7712841Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7712983Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7713175Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7713180Z 2025-12-04T12:21:59.7713433Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7714163Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7714168Z 2025-12-04T12:21:59.7714433Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7714704Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7714852Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7714964Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7715195Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7715317Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7715415Z graph_break [] 2025-12-04T12:21:59.7715647Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7716379Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7716497Z warnings.warn( 2025-12-04T12:21:59.7716849Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7716972Z Traceback (most recent call last): 2025-12-04T12:21:59.7717457Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7717617Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7718146Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7718269Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7718460Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7718466Z 2025-12-04T12:21:59.7718693Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7719407Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7719412Z 2025-12-04T12:21:59.7719689Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7719903Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7720018Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7720143Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7720363Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7720485Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7720593Z graph_break [] 2025-12-04T12:21:59.7720805Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7721539Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7721655Z warnings.warn( 2025-12-04T12:21:59.7721909Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7722031Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7722142Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7722362Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7722498Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7722594Z graph_break [] 2025-12-04T12:21:59.7722809Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7723545Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7723647Z warnings.warn( 2025-12-04T12:21:59.7723800Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7724183Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7724311Z Traceback (most recent call last): 2025-12-04T12:21:59.7724797Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7724952Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7725500Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7725673Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7725865Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7725870Z 2025-12-04T12:21:59.7726099Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7726807Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7726812Z 2025-12-04T12:21:59.7727082Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7727315Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7727426Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7727553Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7727774Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7727898Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7728011Z graph_break [] 2025-12-04T12:21:59.7728224Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7728956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7729070Z warnings.warn( 2025-12-04T12:21:59.7729286Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7729414Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7729525Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7729745Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7729880Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7729977Z graph_break [] 2025-12-04T12:21:59.7730192Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7730938Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7731123Z warnings.warn( 2025-12-04T12:21:59.7731355Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7731463Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7731578Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7731811Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7731934Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7732031Z graph_break [] 2025-12-04T12:21:59.7732305Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7733035Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7733142Z warnings.warn( 2025-12-04T12:21:59.7733913Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-68232cc0a466795e.xml - 2025-12-04T12:21:59.7734085Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7734922Z FAILED [0.2843s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7734929Z 2025-12-04T12:21:59.7735196Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7735921Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7735926Z 2025-12-04T12:21:59.7736194Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7736406Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7736663Z ============= 1 failed, 2 passed, 58 deselected, 2 rerun in 6.29s ============== 2025-12-04T12:21:59.7736767Z Got exit code 1 2025-12-04T12:21:59.7736876Z Retrying single test... 2025-12-04T12:21:59.7737471Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-04a34cd92e0c6414.xml 2025-12-04T12:21:59.7737634Z ============================= test session starts ============================== 2025-12-04T12:21:59.7738000Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7738113Z cachedir: .pytest_cache 2025-12-04T12:21:59.7738639Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7738778Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7738893Z configfile: pytest.ini 2025-12-04T12:21:59.7739483Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7739727Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7740527Z stepcurrent: skipping 60 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7740658Z Running 1 items in this shard 2025-12-04T12:21:59.7740663Z 2025-12-04T12:21:59.7741340Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9236s] [100%] 2025-12-04T12:21:59.7742026Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2697s] [100%] 2025-12-04T12:21:59.7742608Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2643s] [100%] 2025-12-04T12:21:59.7742615Z 2025-12-04T12:21:59.7742756Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7743125Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7743249Z Traceback (most recent call last): 2025-12-04T12:21:59.7743738Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7743900Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7744458Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7744598Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7744788Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7744795Z 2025-12-04T12:21:59.7745011Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7745733Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7745739Z 2025-12-04T12:21:59.7746006Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7746234Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7746346Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7746561Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7746698Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7746920Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7747018Z graph_break [] 2025-12-04T12:21:59.7747247Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7748011Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7748198Z warnings.warn( 2025-12-04T12:21:59.7748550Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7748671Z Traceback (most recent call last): 2025-12-04T12:21:59.7749158Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7749313Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7749848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7749969Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7750158Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7750163Z 2025-12-04T12:21:59.7750389Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7751100Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7751106Z 2025-12-04T12:21:59.7751385Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7751599Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7751709Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7751836Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7751962Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7752184Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7752292Z graph_break [] 2025-12-04T12:21:59.7752506Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7753240Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7753359Z warnings.warn( 2025-12-04T12:21:59.7753569Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7753691Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7753803Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7754023Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7754158Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7754255Z graph_break [] 2025-12-04T12:21:59.7754469Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7755244Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7755347Z warnings.warn( 2025-12-04T12:21:59.7755506Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7755864Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7755987Z Traceback (most recent call last): 2025-12-04T12:21:59.7756470Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7756622Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7757136Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7757270Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7757491Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7757499Z 2025-12-04T12:21:59.7757731Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7758443Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7758505Z 2025-12-04T12:21:59.7758771Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7758998Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7759109Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7759237Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7759357Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7759578Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7759687Z graph_break [] 2025-12-04T12:21:59.7759904Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7760711Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7760865Z warnings.warn( 2025-12-04T12:21:59.7761245Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7761486Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7761702Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7762012Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7762153Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7762251Z graph_break [] 2025-12-04T12:21:59.7762463Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7763206Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7763305Z warnings.warn( 2025-12-04T12:21:59.7763534Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7763646Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7763758Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7763990Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7764116Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7764212Z graph_break [] 2025-12-04T12:21:59.7764434Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7765160Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7765271Z warnings.warn( 2025-12-04T12:21:59.7766022Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-04a34cd92e0c6414.xml - 2025-12-04T12:21:59.7766241Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7767072Z FAILED [0.2643s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7767080Z 2025-12-04T12:21:59.7767299Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7768023Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7768029Z 2025-12-04T12:21:59.7768292Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7768468Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7768713Z ================== 1 failed, 275 deselected, 2 rerun in 5.14s ================== 2025-12-04T12:21:59.7768813Z Got exit code 1 2025-12-04T12:21:59.7768924Z Retrying single test... 2025-12-04T12:21:59.7769509Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6f01e7ca23404791.xml 2025-12-04T12:21:59.7769671Z ============================= test session starts ============================== 2025-12-04T12:21:59.7770092Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7770201Z cachedir: .pytest_cache 2025-12-04T12:21:59.7770723Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7770861Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7770970Z configfile: pytest.ini 2025-12-04T12:21:59.7771653Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7771895Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7772696Z stepcurrent: skipping 60 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7772826Z Running 1 items in this shard 2025-12-04T12:21:59.7772833Z 2025-12-04T12:21:59.7773507Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9222s] [100%] 2025-12-04T12:21:59.7774186Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2707s] [100%] 2025-12-04T12:21:59.7774769Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2587s] [100%] 2025-12-04T12:21:59.7774775Z 2025-12-04T12:21:59.7774915Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7775281Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7775406Z Traceback (most recent call last): 2025-12-04T12:21:59.7775894Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7776056Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7776577Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7776716Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7776905Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7776910Z 2025-12-04T12:21:59.7777123Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7777907Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7777913Z 2025-12-04T12:21:59.7778180Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7778408Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7778521Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7778637Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7778772Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7778992Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7779102Z graph_break [] 2025-12-04T12:21:59.7779315Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7780052Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7780199Z warnings.warn( 2025-12-04T12:21:59.7780559Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7780680Z Traceback (most recent call last): 2025-12-04T12:21:59.7781169Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7781355Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7781918Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7782045Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7782240Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7782245Z 2025-12-04T12:21:59.7782472Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7783182Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7783188Z 2025-12-04T12:21:59.7783470Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7783685Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7783798Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7783928Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7784051Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7784269Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7784377Z graph_break [] 2025-12-04T12:21:59.7784591Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7785339Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7785439Z warnings.warn( 2025-12-04T12:21:59.7785656Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7785777Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7785891Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7786111Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7786245Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7786341Z graph_break [] 2025-12-04T12:21:59.7786563Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7787305Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7787405Z warnings.warn( 2025-12-04T12:21:59.7787573Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7787930Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.7788054Z Traceback (most recent call last): 2025-12-04T12:21:59.7788587Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7788749Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7789263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7789405Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7789604Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7789609Z 2025-12-04T12:21:59.7789837Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7790551Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7790557Z 2025-12-04T12:21:59.7790823Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7791089Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7791205Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7791332Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7791455Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7791674Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7791816Z graph_break [] 2025-12-04T12:21:59.7792060Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7792795Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7792912Z warnings.warn( 2025-12-04T12:21:59.7793127Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7793253Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7793368Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7793589Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7793732Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7793832Z graph_break [] 2025-12-04T12:21:59.7794047Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7794794Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7794902Z warnings.warn( 2025-12-04T12:21:59.7795127Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7795240Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7795355Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7795591Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7795711Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7795808Z graph_break [] 2025-12-04T12:21:59.7796034Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7796769Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7796881Z warnings.warn( 2025-12-04T12:21:59.7797631Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6f01e7ca23404791.xml - 2025-12-04T12:21:59.7797804Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7798636Z FAILED [0.2587s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7798642Z 2025-12-04T12:21:59.7798858Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7799612Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7799618Z 2025-12-04T12:21:59.7799887Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7800067Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7800281Z ================== 1 failed, 275 deselected, 2 rerun in 5.14s ================== 2025-12-04T12:21:59.7800385Z Got exit code 1 2025-12-04T12:21:59.7801018Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.7801441Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7802012Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-1245e579ed329736.xml 2025-12-04T12:21:59.7802223Z ============================= test session starts ============================== 2025-12-04T12:21:59.7802576Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7802692Z cachedir: .pytest_cache 2025-12-04T12:21:59.7803230Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7803417Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7803539Z configfile: pytest.ini 2025-12-04T12:21:59.7804128Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7804360Z collecting ... collected 571 items / 61 deselected / 510 selected 2025-12-04T12:21:59.7804693Z stepcurrent: skipping 61 already run items. 2025-12-04T12:21:59.7804810Z Running 215 items in this shard 2025-12-04T12:21:59.7804815Z 2025-12-04T12:21:59.7805426Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_float16_cuda PASSED [3.5295s] [ 0%] 2025-12-04T12:21:59.7806118Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0973s] [ 0%] 2025-12-04T12:21:59.7806802Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2907s] [ 0%] 2025-12-04T12:21:59.7807422Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2869s] [ 0%] 2025-12-04T12:21:59.7807431Z 2025-12-04T12:21:59.7807575Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7807956Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7808079Z Traceback (most recent call last): 2025-12-04T12:21:59.7808554Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7808724Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7809246Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7809377Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7809582Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7809588Z 2025-12-04T12:21:59.7809802Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7810539Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7810545Z 2025-12-04T12:21:59.7810811Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7811111Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7811318Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7811436Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7811669Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7811791Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7811891Z graph_break [] 2025-12-04T12:21:59.7812121Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7812856Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7812957Z warnings.warn( 2025-12-04T12:21:59.7813339Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7813459Z Traceback (most recent call last): 2025-12-04T12:21:59.7813990Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7814150Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7814673Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7814809Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7815041Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7815104Z 2025-12-04T12:21:59.7815333Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7816059Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7816065Z 2025-12-04T12:21:59.7816334Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7816566Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7816678Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7816793Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7817027Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7817151Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7817270Z graph_break [] 2025-12-04T12:21:59.7817486Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7818221Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7818338Z warnings.warn( 2025-12-04T12:21:59.7818550Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7818662Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7818787Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7819004Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7819141Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7819240Z graph_break [] 2025-12-04T12:21:59.7819452Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7820193Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7820298Z warnings.warn( 2025-12-04T12:21:59.7820440Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7820818Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7820936Z Traceback (most recent call last): 2025-12-04T12:21:59.7821424Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7821579Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7822134Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7822271Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7822461Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7822466Z 2025-12-04T12:21:59.7822680Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7823421Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7823427Z 2025-12-04T12:21:59.7823697Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7823924Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7824034Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7824147Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7824406Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7824528Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7824642Z graph_break [] 2025-12-04T12:21:59.7824860Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7825594Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7825767Z warnings.warn( 2025-12-04T12:21:59.7825979Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7826089Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7826213Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7826432Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7826551Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7826658Z graph_break [] 2025-12-04T12:21:59.7826870Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7827611Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7827710Z warnings.warn( 2025-12-04T12:21:59.7827924Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7828052Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7828167Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7828388Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7828526Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7828622Z graph_break [] 2025-12-04T12:21:59.7828846Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7829573Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7829675Z warnings.warn( 2025-12-04T12:21:59.7830438Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-1245e579ed329736.xml - 2025-12-04T12:21:59.7830609Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7831461Z FAILED [0.2869s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7831469Z 2025-12-04T12:21:59.7831683Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7832408Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7832413Z 2025-12-04T12:21:59.7832692Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7832909Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7833138Z ============= 1 failed, 1 passed, 61 deselected, 2 rerun in 5.93s ============== 2025-12-04T12:21:59.7833239Z Got exit code 1 2025-12-04T12:21:59.7833344Z Retrying single test... 2025-12-04T12:21:59.7833937Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-7588ed3ba82733cc.xml 2025-12-04T12:21:59.7834102Z ============================= test session starts ============================== 2025-12-04T12:21:59.7834454Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7834577Z cachedir: .pytest_cache 2025-12-04T12:21:59.7835097Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7835232Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7835368Z configfile: pytest.ini 2025-12-04T12:21:59.7835969Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7836210Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7837019Z stepcurrent: skipping 62 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7837242Z Running 1 items in this shard 2025-12-04T12:21:59.7837247Z 2025-12-04T12:21:59.7837935Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9525s] [100%] 2025-12-04T12:21:59.7838624Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2884s] [100%] 2025-12-04T12:21:59.7839237Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2868s] [100%] 2025-12-04T12:21:59.7839243Z 2025-12-04T12:21:59.7839384Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7839761Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7839887Z Traceback (most recent call last): 2025-12-04T12:21:59.7840361Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7840531Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7841055Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7841191Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7841381Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7841388Z 2025-12-04T12:21:59.7841605Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7842340Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7842345Z 2025-12-04T12:21:59.7842613Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7842846Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7842961Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7843075Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7843210Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7843431Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7843531Z graph_break [] 2025-12-04T12:21:59.7843761Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7844526Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7844631Z warnings.warn( 2025-12-04T12:21:59.7845013Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7845136Z Traceback (most recent call last): 2025-12-04T12:21:59.7845625Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7845783Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7846304Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7846443Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7846634Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7846640Z 2025-12-04T12:21:59.7846900Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7847627Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7847633Z 2025-12-04T12:21:59.7847901Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7848201Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7848314Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7848431Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7848570Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7848792Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7848907Z graph_break [] 2025-12-04T12:21:59.7849123Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7849857Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7849977Z warnings.warn( 2025-12-04T12:21:59.7850192Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7850306Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7850433Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7850656Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7850790Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7850890Z graph_break [] 2025-12-04T12:21:59.7851192Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7851944Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7852044Z warnings.warn( 2025-12-04T12:21:59.7852189Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7852574Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7852695Z Traceback (most recent call last): 2025-12-04T12:21:59.7853184Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7853342Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7853862Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7853998Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7854188Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7854193Z 2025-12-04T12:21:59.7854405Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7855147Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7855152Z 2025-12-04T12:21:59.7855454Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7855682Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7855791Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7855907Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7856042Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7856263Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7856372Z graph_break [] 2025-12-04T12:21:59.7856584Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7857319Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7857435Z warnings.warn( 2025-12-04T12:21:59.7857681Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7857798Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7857928Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7858150Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7858280Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7858421Z graph_break [] 2025-12-04T12:21:59.7858666Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7859418Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7859518Z warnings.warn( 2025-12-04T12:21:59.7859730Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7859854Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7859968Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7860193Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7860332Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7860430Z graph_break [] 2025-12-04T12:21:59.7860658Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7861389Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7861495Z warnings.warn( 2025-12-04T12:21:59.7862266Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-7588ed3ba82733cc.xml - 2025-12-04T12:21:59.7862435Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7863294Z FAILED [0.2868s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7863300Z 2025-12-04T12:21:59.7863518Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7864244Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7864252Z 2025-12-04T12:21:59.7864534Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7864714Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7864927Z ================== 1 failed, 275 deselected, 2 rerun in 5.25s ================== 2025-12-04T12:21:59.7865026Z Got exit code 1 2025-12-04T12:21:59.7865131Z Retrying single test... 2025-12-04T12:21:59.7865718Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-3874aef491fa8236.xml 2025-12-04T12:21:59.7865880Z ============================= test session starts ============================== 2025-12-04T12:21:59.7866270Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7866391Z cachedir: .pytest_cache 2025-12-04T12:21:59.7866914Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7867054Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7867162Z configfile: pytest.ini 2025-12-04T12:21:59.7867752Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7867994Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7868803Z stepcurrent: skipping 62 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7868985Z Running 1 items in this shard 2025-12-04T12:21:59.7868990Z 2025-12-04T12:21:59.7869682Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9190s] [100%] 2025-12-04T12:21:59.7870366Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2737s] [100%] 2025-12-04T12:21:59.7871032Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2716s] [100%] 2025-12-04T12:21:59.7871038Z 2025-12-04T12:21:59.7871177Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7871559Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7871680Z Traceback (most recent call last): 2025-12-04T12:21:59.7872157Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7872334Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7872859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7872999Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7873197Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7873202Z 2025-12-04T12:21:59.7873416Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7874154Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7874159Z 2025-12-04T12:21:59.7874426Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7874659Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7874770Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7874885Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7875017Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7875238Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7875335Z graph_break [] 2025-12-04T12:21:59.7875564Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7876303Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7876416Z warnings.warn( 2025-12-04T12:21:59.7876784Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7876904Z Traceback (most recent call last): 2025-12-04T12:21:59.7877392Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7877546Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7878103Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7878238Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7878428Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7878438Z 2025-12-04T12:21:59.7878664Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7879389Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7879394Z 2025-12-04T12:21:59.7879658Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7879887Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7880028Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7880155Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7880277Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7880497Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7880606Z graph_break [] 2025-12-04T12:21:59.7880821Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7881614Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7881726Z warnings.warn( 2025-12-04T12:21:59.7881939Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7882052Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7882176Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7882394Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7882529Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7882625Z graph_break [] 2025-12-04T12:21:59.7882840Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7883577Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7883680Z warnings.warn( 2025-12-04T12:21:59.7883823Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7884204Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7884324Z Traceback (most recent call last): 2025-12-04T12:21:59.7884814Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7884965Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7885482Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7885622Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7885813Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7885818Z 2025-12-04T12:21:59.7886045Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7886769Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7886777Z 2025-12-04T12:21:59.7887042Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7887272Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7887383Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7887500Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7887637Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7887861Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7887972Z graph_break [] 2025-12-04T12:21:59.7888225Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7888958Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7889077Z warnings.warn( 2025-12-04T12:21:59.7889291Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7889404Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7889530Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7889751Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7889883Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7889979Z graph_break [] 2025-12-04T12:21:59.7890191Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7890975Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7891158Z warnings.warn( 2025-12-04T12:21:59.7891374Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7891497Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7891676Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7891909Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7892029Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7892126Z graph_break [] 2025-12-04T12:21:59.7892355Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7893079Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7893186Z warnings.warn( 2025-12-04T12:21:59.7893955Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-3874aef491fa8236.xml - 2025-12-04T12:21:59.7894128Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7894978Z FAILED [0.2716s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7894988Z 2025-12-04T12:21:59.7895206Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7895929Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7895948Z 2025-12-04T12:21:59.7896216Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7896402Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7896619Z ================== 1 failed, 275 deselected, 2 rerun in 5.15s ================== 2025-12-04T12:21:59.7896720Z Got exit code 1 2025-12-04T12:21:59.7897366Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7897797Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.7898371Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-945af54c89f4f21e.xml 2025-12-04T12:21:59.7898554Z ============================= test session starts ============================== 2025-12-04T12:21:59.7898904Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7899015Z cachedir: .pytest_cache 2025-12-04T12:21:59.7899586Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7899713Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7899828Z configfile: pytest.ini 2025-12-04T12:21:59.7900431Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7900663Z collecting ... collected 571 items / 63 deselected / 508 selected 2025-12-04T12:21:59.7900823Z stepcurrent: skipping 63 already run items. 2025-12-04T12:21:59.7900938Z Running 213 items in this shard 2025-12-04T12:21:59.7900944Z 2025-12-04T12:21:59.7901543Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_True_float16_cuda PASSED [3.4397s] [ 0%] 2025-12-04T12:21:59.7902204Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_rsqrt_load_upcast_to_fp32_False_float16_cuda PASSED [0.3066s] [ 0%] 2025-12-04T12:21:59.7902799Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_rsqrt_load_upcast_to_fp32_True_float16_cuda PASSED [0.3017s] [ 1%] 2025-12-04T12:21:59.7903508Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0909s] [ 1%] 2025-12-04T12:21:59.7904264Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2686s] [ 1%] 2025-12-04T12:21:59.7905080Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2504s] [ 1%] 2025-12-04T12:21:59.7905101Z 2025-12-04T12:21:59.7905246Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7905622Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7905759Z Traceback (most recent call last): 2025-12-04T12:21:59.7906238Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7906394Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7906934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7907062Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7907268Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7907274Z 2025-12-04T12:21:59.7907486Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7908221Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7908227Z 2025-12-04T12:21:59.7908510Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7908736Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7908865Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7908984Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7909210Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7909352Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7909455Z graph_break [] 2025-12-04T12:21:59.7909670Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7910420Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7910521Z warnings.warn( 2025-12-04T12:21:59.7910916Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7911038Z Traceback (most recent call last): 2025-12-04T12:21:59.7911596Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7911773Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7912292Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7912421Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7912628Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7912633Z 2025-12-04T12:21:59.7912848Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7913599Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7913605Z 2025-12-04T12:21:59.7913878Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7914138Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7914268Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7914385Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7914620Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7914743Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7914889Z graph_break [] 2025-12-04T12:21:59.7915158Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7915896Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7915997Z warnings.warn( 2025-12-04T12:21:59.7916221Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7916331Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7916457Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7916679Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7916804Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7916916Z graph_break [] 2025-12-04T12:21:59.7917129Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7917859Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7917979Z warnings.warn( 2025-12-04T12:21:59.7918122Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7918513Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7918635Z Traceback (most recent call last): 2025-12-04T12:21:59.7919106Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7919276Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7919794Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7919917Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7920118Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7920125Z 2025-12-04T12:21:59.7920338Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7921088Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7921093Z 2025-12-04T12:21:59.7921364Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7921580Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7921705Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7921819Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7922164Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7922288Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7922430Z graph_break [] 2025-12-04T12:21:59.7922756Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7923966Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7924073Z warnings.warn( 2025-12-04T12:21:59.7924303Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7924415Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7924532Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7924773Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7924897Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7925012Z graph_break [] 2025-12-04T12:21:59.7925272Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7926010Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7926124Z warnings.warn( 2025-12-04T12:21:59.7926373Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7926518Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7926648Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7926867Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7927005Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7927104Z graph_break [] 2025-12-04T12:21:59.7927316Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7928050Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7928151Z warnings.warn( 2025-12-04T12:21:59.7928901Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-945af54c89f4f21e.xml - 2025-12-04T12:21:59.7929084Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7929942Z FAILED [0.2504s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7929948Z 2025-12-04T12:21:59.7930174Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7930908Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7930914Z 2025-12-04T12:21:59.7931280Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7931465Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7931680Z ============= 1 failed, 3 passed, 63 deselected, 2 rerun in 6.36s ============== 2025-12-04T12:21:59.7931794Z Got exit code 1 2025-12-04T12:21:59.7931901Z Retrying single test... 2025-12-04T12:21:59.7932476Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-86830f042747f477.xml 2025-12-04T12:21:59.7932652Z ============================= test session starts ============================== 2025-12-04T12:21:59.7933003Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7933129Z cachedir: .pytest_cache 2025-12-04T12:21:59.7933650Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7933774Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7933933Z configfile: pytest.ini 2025-12-04T12:21:59.7934523Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7934750Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7935586Z stepcurrent: skipping 66 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7935698Z Running 1 items in this shard 2025-12-04T12:21:59.7935703Z 2025-12-04T12:21:59.7936415Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9473s] [100%] 2025-12-04T12:21:59.7937146Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2864s] [100%] 2025-12-04T12:21:59.7937770Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2835s] [100%] 2025-12-04T12:21:59.7937775Z 2025-12-04T12:21:59.7937915Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7938347Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7938484Z Traceback (most recent call last): 2025-12-04T12:21:59.7938956Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7939111Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7939641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7939769Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7939971Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7939978Z 2025-12-04T12:21:59.7940191Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7940927Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7940950Z 2025-12-04T12:21:59.7941218Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7941438Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7941564Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7941679Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7941800Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7942031Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7942133Z graph_break [] 2025-12-04T12:21:59.7942353Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7943101Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7943205Z warnings.warn( 2025-12-04T12:21:59.7943599Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7943726Z Traceback (most recent call last): 2025-12-04T12:21:59.7944203Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7944377Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7944892Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7945017Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7945223Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7945229Z 2025-12-04T12:21:59.7945494Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7946243Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7946252Z 2025-12-04T12:21:59.7946523Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7946740Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7946866Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7946978Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7947114Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7947334Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7947434Z graph_break [] 2025-12-04T12:21:59.7947689Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7948425Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7948527Z warnings.warn( 2025-12-04T12:21:59.7954747Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7955015Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7955175Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7958264Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7958431Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7958531Z graph_break [] 2025-12-04T12:21:59.7958763Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7959521Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7959630Z warnings.warn( 2025-12-04T12:21:59.7959788Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7960167Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7960291Z Traceback (most recent call last): 2025-12-04T12:21:59.7960783Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7960945Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7961507Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7961646Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7961839Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7961847Z 2025-12-04T12:21:59.7962079Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7962822Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7962829Z 2025-12-04T12:21:59.7963098Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7963336Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7963452Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7963582Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7963708Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7963931Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7964044Z graph_break [] 2025-12-04T12:21:59.7964260Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7964997Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7965115Z warnings.warn( 2025-12-04T12:21:59.7965329Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7965452Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7965564Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7965787Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7965924Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7966024Z graph_break [] 2025-12-04T12:21:59.7966238Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7966981Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7967083Z warnings.warn( 2025-12-04T12:21:59.7967294Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7967416Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7967594Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7967832Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7967955Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7968053Z graph_break [] 2025-12-04T12:21:59.7968282Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7969080Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7969253Z warnings.warn( 2025-12-04T12:21:59.7970020Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-86830f042747f477.xml - 2025-12-04T12:21:59.7970190Z =========================== short test summary info ============================ 2025-12-04T12:21:59.7971161Z FAILED [0.2835s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7971169Z 2025-12-04T12:21:59.7971389Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7972127Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7972152Z 2025-12-04T12:21:59.7972424Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7972604Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.7972823Z ================== 1 failed, 275 deselected, 2 rerun in 5.25s ================== 2025-12-04T12:21:59.7972923Z Got exit code 1 2025-12-04T12:21:59.7973030Z Retrying single test... 2025-12-04T12:21:59.7973629Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-d04b185c8e87a87f.xml 2025-12-04T12:21:59.7973793Z ============================= test session starts ============================== 2025-12-04T12:21:59.7974162Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.7974272Z cachedir: .pytest_cache 2025-12-04T12:21:59.7974796Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.7974934Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.7975047Z configfile: pytest.ini 2025-12-04T12:21:59.7975639Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.7975877Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.7976702Z stepcurrent: skipping 66 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7976833Z Running 1 items in this shard 2025-12-04T12:21:59.7976838Z 2025-12-04T12:21:59.7977540Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9626s] [100%] 2025-12-04T12:21:59.7978261Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2861s] [100%] 2025-12-04T12:21:59.7978870Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2875s] [100%] 2025-12-04T12:21:59.7978876Z 2025-12-04T12:21:59.7979014Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.7979449Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7979573Z Traceback (most recent call last): 2025-12-04T12:21:59.7980063Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7980218Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7980740Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7980940Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7981178Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7981184Z 2025-12-04T12:21:59.7981398Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7982154Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7982159Z 2025-12-04T12:21:59.7982428Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7982658Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7982768Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7982880Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7983014Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7983239Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7983340Z graph_break [] 2025-12-04T12:21:59.7983569Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7984302Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7984416Z warnings.warn( 2025-12-04T12:21:59.7984797Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7984923Z Traceback (most recent call last): 2025-12-04T12:21:59.7985415Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7985570Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7986101Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7986227Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7986421Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7986427Z 2025-12-04T12:21:59.7986660Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7987400Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7987406Z 2025-12-04T12:21:59.7987688Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7987907Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7988018Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7988150Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7988270Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7988491Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7988604Z graph_break [] 2025-12-04T12:21:59.7988820Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7989552Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7989666Z warnings.warn( 2025-12-04T12:21:59.7989881Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7990004Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7990117Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7990372Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7990510Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7990612Z graph_break [] 2025-12-04T12:21:59.7990824Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7991562Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7991736Z warnings.warn( 2025-12-04T12:21:59.7991922Z =================================== FAILURES =================================== 2025-12-04T12:21:59.7992303Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.7992429Z Traceback (most recent call last): 2025-12-04T12:21:59.7992917Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.7993075Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.7993596Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.7993731Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.7993922Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.7993930Z 2025-12-04T12:21:59.7994156Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.7994900Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.7994905Z 2025-12-04T12:21:59.7995171Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.7995400Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7995514Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7995645Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7995768Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7995988Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7996100Z graph_break [] 2025-12-04T12:21:59.7996313Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7997048Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7997167Z warnings.warn( 2025-12-04T12:21:59.7997382Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7997506Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7997620Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7997841Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7997977Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.7998076Z graph_break [] 2025-12-04T12:21:59.7998291Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.7999031Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.7999131Z warnings.warn( 2025-12-04T12:21:59.7999358Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.7999469Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.7999581Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.7999816Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.7999934Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8000030Z graph_break [] 2025-12-04T12:21:59.8000256Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8001025Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8001125Z warnings.warn( 2025-12-04T12:21:59.8001893Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-d04b185c8e87a87f.xml - 2025-12-04T12:21:59.8002064Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8003020Z FAILED [0.2875s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8003026Z 2025-12-04T12:21:59.8003244Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8003995Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8004000Z 2025-12-04T12:21:59.8004269Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8004715Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8004930Z ================== 1 failed, 275 deselected, 2 rerun in 5.28s ================== 2025-12-04T12:21:59.8005029Z Got exit code 1 2025-12-04T12:21:59.8005693Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8006128Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.8006702Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-654b6a8636bb0690.xml 2025-12-04T12:21:59.8006879Z ============================= test session starts ============================== 2025-12-04T12:21:59.8007233Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8007342Z cachedir: .pytest_cache 2025-12-04T12:21:59.8007879Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8008001Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8008121Z configfile: pytest.ini 2025-12-04T12:21:59.8008715Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8008940Z collecting ... collected 571 items / 67 deselected / 504 selected 2025-12-04T12:21:59.8009094Z stepcurrent: skipping 67 already run items. 2025-12-04T12:21:59.8009208Z Running 209 items in this shard 2025-12-04T12:21:59.8009213Z 2025-12-04T12:21:59.8009794Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sin_load_upcast_to_fp32_True_float16_cuda PASSED [3.4805s] [ 0%] 2025-12-04T12:21:59.8010394Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sinh_load_upcast_to_fp32_True_float16_cuda PASSED [0.3220s] [ 0%] 2025-12-04T12:21:59.8011154Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0932s] [ 1%] 2025-12-04T12:21:59.8011852Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2718s] [ 1%] 2025-12-04T12:21:59.8012449Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2799s] [ 1%] 2025-12-04T12:21:59.8012455Z 2025-12-04T12:21:59.8012608Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8012968Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8013168Z Traceback (most recent call last): 2025-12-04T12:21:59.8013661Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8013816Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8014350Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8014558Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8014749Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8014755Z 2025-12-04T12:21:59.8015032Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8015755Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8015761Z 2025-12-04T12:21:59.8016038Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8016261Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8016372Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8016500Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8016719Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8016840Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8016954Z graph_break [] 2025-12-04T12:21:59.8017176Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8017914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8018027Z warnings.warn( 2025-12-04T12:21:59.8018390Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8018527Z Traceback (most recent call last): 2025-12-04T12:21:59.8019003Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8019162Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8019695Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8019818Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8020011Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8020032Z 2025-12-04T12:21:59.8020246Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8020970Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8020977Z 2025-12-04T12:21:59.8021258Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8021477Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8021589Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8021715Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8021935Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8022070Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8022168Z graph_break [] 2025-12-04T12:21:59.8022384Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8023135Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8023236Z warnings.warn( 2025-12-04T12:21:59.8023449Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8023573Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8023688Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8023918Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8024074Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8024173Z graph_break [] 2025-12-04T12:21:59.8024404Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8025138Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8025300Z warnings.warn( 2025-12-04T12:21:59.8025458Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8025856Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8025995Z Traceback (most recent call last): 2025-12-04T12:21:59.8026473Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8026633Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8027169Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8027295Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8027487Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8027504Z 2025-12-04T12:21:59.8027721Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8028452Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8028458Z 2025-12-04T12:21:59.8028742Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8028962Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8029078Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8029207Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8029432Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8029576Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8029674Z graph_break [] 2025-12-04T12:21:59.8029889Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8030639Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8030746Z warnings.warn( 2025-12-04T12:21:59.8030963Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8031086Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8031197Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8031432Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8031552Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8031651Z graph_break [] 2025-12-04T12:21:59.8031879Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8032607Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8032707Z warnings.warn( 2025-12-04T12:21:59.8032929Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8033040Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8033156Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8033390Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8033517Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8033624Z graph_break [] 2025-12-04T12:21:59.8033836Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8034561Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8034708Z warnings.warn( 2025-12-04T12:21:59.8035457Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-654b6a8636bb0690.xml - 2025-12-04T12:21:59.8035629Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8036517Z FAILED [0.2799s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8036593Z 2025-12-04T12:21:59.8036809Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8037535Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8037540Z 2025-12-04T12:21:59.8037803Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8037996Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8038210Z ============= 1 failed, 2 passed, 67 deselected, 2 rerun in 6.15s ============== 2025-12-04T12:21:59.8038309Z Got exit code 1 2025-12-04T12:21:59.8038426Z Retrying single test... 2025-12-04T12:21:59.8039004Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0f8dff99586bd7ae.xml 2025-12-04T12:21:59.8039173Z ============================= test session starts ============================== 2025-12-04T12:21:59.8039534Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8039642Z cachedir: .pytest_cache 2025-12-04T12:21:59.8040182Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8040304Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8040414Z configfile: pytest.ini 2025-12-04T12:21:59.8041018Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8041246Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8042068Z stepcurrent: skipping 69 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8042188Z Running 1 items in this shard 2025-12-04T12:21:59.8042195Z 2025-12-04T12:21:59.8042881Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9299s] [100%] 2025-12-04T12:21:59.8043571Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2745s] [100%] 2025-12-04T12:21:59.8044162Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2653s] [100%] 2025-12-04T12:21:59.8044168Z 2025-12-04T12:21:59.8044319Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8044678Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8044804Z Traceback (most recent call last): 2025-12-04T12:21:59.8045296Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8045453Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8045990Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8046113Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8046304Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8046340Z 2025-12-04T12:21:59.8046566Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8047287Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8047292Z 2025-12-04T12:21:59.8047602Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8047851Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8047996Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8048125Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8048248Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8048469Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8048580Z graph_break [] 2025-12-04T12:21:59.8048798Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8049537Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8049652Z warnings.warn( 2025-12-04T12:21:59.8050013Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8050149Z Traceback (most recent call last): 2025-12-04T12:21:59.8050626Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8050785Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8051420Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8051550Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8051757Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8051762Z 2025-12-04T12:21:59.8051983Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8052701Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8052707Z 2025-12-04T12:21:59.8052990Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8053210Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8053339Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8053457Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8053579Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8053815Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8053912Z graph_break [] 2025-12-04T12:21:59.8054125Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8054869Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8054970Z warnings.warn( 2025-12-04T12:21:59.8055182Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8055308Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8055423Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8055658Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8055780Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8055878Z graph_break [] 2025-12-04T12:21:59.8056100Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8056832Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8056931Z warnings.warn( 2025-12-04T12:21:59.8057121Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8057482Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8057617Z Traceback (most recent call last): 2025-12-04T12:21:59.8058093Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8058275Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8058869Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8058993Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8059183Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8059201Z 2025-12-04T12:21:59.8059414Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8060133Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8060139Z 2025-12-04T12:21:59.8060418Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8060633Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8060744Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8060873Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8060996Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8061231Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8061332Z graph_break [] 2025-12-04T12:21:59.8061544Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8062286Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8062384Z warnings.warn( 2025-12-04T12:21:59.8062619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8062730Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8062843Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8063076Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8063199Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8063314Z graph_break [] 2025-12-04T12:21:59.8063529Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8064264Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8064377Z warnings.warn( 2025-12-04T12:21:59.8064588Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8064697Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8064822Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8065043Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8065166Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8065276Z graph_break [] 2025-12-04T12:21:59.8065489Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8066232Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8066338Z warnings.warn( 2025-12-04T12:21:59.8067098Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0f8dff99586bd7ae.xml - 2025-12-04T12:21:59.8067282Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8068152Z FAILED [0.2653s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8068159Z 2025-12-04T12:21:59.8068388Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8069110Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8069146Z 2025-12-04T12:21:59.8069415Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8069640Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8069871Z ================== 1 failed, 275 deselected, 2 rerun in 5.17s ================== 2025-12-04T12:21:59.8069985Z Got exit code 1 2025-12-04T12:21:59.8070095Z Retrying single test... 2025-12-04T12:21:59.8070676Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-cff0cdef34f15fce.xml 2025-12-04T12:21:59.8070854Z ============================= test session starts ============================== 2025-12-04T12:21:59.8071206Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8071316Z cachedir: .pytest_cache 2025-12-04T12:21:59.8071925Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8072098Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8072307Z configfile: pytest.ini 2025-12-04T12:21:59.8073281Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8073509Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8074324Z stepcurrent: skipping 69 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8074443Z Running 1 items in this shard 2025-12-04T12:21:59.8074448Z 2025-12-04T12:21:59.8075140Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9552s] [100%] 2025-12-04T12:21:59.8075820Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2856s] [100%] 2025-12-04T12:21:59.8076414Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2860s] [100%] 2025-12-04T12:21:59.8076431Z 2025-12-04T12:21:59.8076567Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8076929Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8077062Z Traceback (most recent call last): 2025-12-04T12:21:59.8077538Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8077692Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8078230Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8078351Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8078552Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8078559Z 2025-12-04T12:21:59.8078773Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8079493Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8079499Z 2025-12-04T12:21:59.8079772Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8080054Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8080179Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8080292Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8080411Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8080644Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8080746Z graph_break [] 2025-12-04T12:21:59.8080994Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8081818Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8081921Z warnings.warn( 2025-12-04T12:21:59.8082296Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8082419Z Traceback (most recent call last): 2025-12-04T12:21:59.8082893Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8083055Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8083574Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8083696Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8083897Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8083907Z 2025-12-04T12:21:59.8084122Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8084851Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8084857Z 2025-12-04T12:21:59.8085123Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8085342Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8085465Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8085580Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8085712Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8085930Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8086027Z graph_break [] 2025-12-04T12:21:59.8086251Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8086986Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8087092Z warnings.warn( 2025-12-04T12:21:59.8087320Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8087430Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8087543Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8087772Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8087895Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8088005Z graph_break [] 2025-12-04T12:21:59.8088216Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8088942Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8089054Z warnings.warn( 2025-12-04T12:21:59.8089199Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8089558Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8089692Z Traceback (most recent call last): 2025-12-04T12:21:59.8090166Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8090334Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8090896Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8091020Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8091358Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8091365Z 2025-12-04T12:21:59.8091583Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8092315Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8092391Z 2025-12-04T12:21:59.8092696Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8092916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8093037Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8093150Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8093273Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8093513Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8093614Z graph_break [] 2025-12-04T12:21:59.8093845Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8094580Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8094688Z warnings.warn( 2025-12-04T12:21:59.8094915Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8095026Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8095139Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8095369Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8095490Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8095601Z graph_break [] 2025-12-04T12:21:59.8095811Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8096541Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8096649Z warnings.warn( 2025-12-04T12:21:59.8096858Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8096964Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8097092Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8097313Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8097434Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8097539Z graph_break [] 2025-12-04T12:21:59.8097749Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8098481Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8098583Z warnings.warn( 2025-12-04T12:21:59.8099339Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-cff0cdef34f15fce.xml - 2025-12-04T12:21:59.8099523Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8100354Z FAILED [0.2860s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8100364Z 2025-12-04T12:21:59.8100594Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8101316Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8101322Z 2025-12-04T12:21:59.8101588Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8101825Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8102025Z ================== 1 failed, 275 deselected, 2 rerun in 5.23s ================== 2025-12-04T12:21:59.8102134Z Got exit code 1 2025-12-04T12:21:59.8102772Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8103282Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.8103998Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-8bf5b61eecb9c430.xml 2025-12-04T12:21:59.8104159Z ============================= test session starts ============================== 2025-12-04T12:21:59.8104727Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8104836Z cachedir: .pytest_cache 2025-12-04T12:21:59.8105357Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8105495Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8105602Z configfile: pytest.ini 2025-12-04T12:21:59.8106190Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8106433Z collecting ... collected 571 items / 70 deselected / 501 selected 2025-12-04T12:21:59.8106573Z stepcurrent: skipping 70 already run items. 2025-12-04T12:21:59.8106703Z Running 206 items in this shard 2025-12-04T12:21:59.8106709Z 2025-12-04T12:21:59.8107390Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9545s] [ 0%] 2025-12-04T12:21:59.8108068Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2838s] [ 0%] 2025-12-04T12:21:59.8108661Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2811s] [ 0%] 2025-12-04T12:21:59.8108667Z 2025-12-04T12:21:59.8108803Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8109174Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8109299Z Traceback (most recent call last): 2025-12-04T12:21:59.8109783Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8109951Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8110471Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8110604Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8110799Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8110804Z 2025-12-04T12:21:59.8111019Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8111741Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8111749Z 2025-12-04T12:21:59.8112021Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8112250Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8112360Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8112474Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8112607Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8112826Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8112924Z graph_break [] 2025-12-04T12:21:59.8113222Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8113959Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8114072Z warnings.warn( 2025-12-04T12:21:59.8114432Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8114595Z Traceback (most recent call last): 2025-12-04T12:21:59.8115193Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8115349Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8115870Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8116008Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8116202Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8116207Z 2025-12-04T12:21:59.8116432Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8117146Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8117151Z 2025-12-04T12:21:59.8117418Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8117655Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8117769Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8117896Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8118018Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8118239Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8118350Z graph_break [] 2025-12-04T12:21:59.8118568Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8119304Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8119417Z warnings.warn( 2025-12-04T12:21:59.8119631Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8119751Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8119869Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8120091Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8120228Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8120330Z graph_break [] 2025-12-04T12:21:59.8120546Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8121289Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8121393Z warnings.warn( 2025-12-04T12:21:59.8121538Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8121915Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8122040Z Traceback (most recent call last): 2025-12-04T12:21:59.8122530Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8122691Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8123207Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8123347Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8123542Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8123547Z 2025-12-04T12:21:59.8123774Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8124526Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8124531Z 2025-12-04T12:21:59.8124801Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8125030Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8125143Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8125317Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8125451Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8125704Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8125816Z graph_break [] 2025-12-04T12:21:59.8126032Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8126769Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8126882Z warnings.warn( 2025-12-04T12:21:59.8127098Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8127206Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8127327Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8127547Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8127681Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8127779Z graph_break [] 2025-12-04T12:21:59.8127994Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8128730Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8128829Z warnings.warn( 2025-12-04T12:21:59.8129038Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8129161Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8129271Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8129507Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8129627Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8129722Z graph_break [] 2025-12-04T12:21:59.8129954Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8130682Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8130781Z warnings.warn( 2025-12-04T12:21:59.8131642Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-8bf5b61eecb9c430.xml - 2025-12-04T12:21:59.8131815Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8132655Z FAILED [0.2811s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8132662Z 2025-12-04T12:21:59.8132878Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8133596Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8133617Z 2025-12-04T12:21:59.8133884Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8134066Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8134276Z ================== 1 failed, 70 deselected, 2 rerun in 5.22s =================== 2025-12-04T12:21:59.8134376Z Got exit code 1 2025-12-04T12:21:59.8134491Z Retrying single test... 2025-12-04T12:21:59.8135078Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-cd46952b1f90032b.xml 2025-12-04T12:21:59.8135288Z ============================= test session starts ============================== 2025-12-04T12:21:59.8135648Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8135758Z cachedir: .pytest_cache 2025-12-04T12:21:59.8136286Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8136489Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8136598Z configfile: pytest.ini 2025-12-04T12:21:59.8137222Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8137465Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8138269Z stepcurrent: skipping 70 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8138403Z Running 1 items in this shard 2025-12-04T12:21:59.8138407Z 2025-12-04T12:21:59.8139087Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9217s] [100%] 2025-12-04T12:21:59.8139757Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2646s] [100%] 2025-12-04T12:21:59.8140362Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2585s] [100%] 2025-12-04T12:21:59.8140367Z 2025-12-04T12:21:59.8140509Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8140876Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8141007Z Traceback (most recent call last): 2025-12-04T12:21:59.8141484Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8141649Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8142170Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8142302Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8142493Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8142498Z 2025-12-04T12:21:59.8142716Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8143439Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8143444Z 2025-12-04T12:21:59.8143711Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8143936Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8144049Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8144165Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8144299Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8144519Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8144620Z graph_break [] 2025-12-04T12:21:59.8144845Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8145583Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8145696Z warnings.warn( 2025-12-04T12:21:59.8146054Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8146175Z Traceback (most recent call last): 2025-12-04T12:21:59.8146690Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8146845Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8147360Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8147496Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8147686Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8147750Z 2025-12-04T12:21:59.8147974Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8148735Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8148741Z 2025-12-04T12:21:59.8149007Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8149237Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8149349Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8149473Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8149592Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8149812Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8149920Z graph_break [] 2025-12-04T12:21:59.8150134Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8150878Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8150986Z warnings.warn( 2025-12-04T12:21:59.8151198Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8151315Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8151426Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8151644Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8151776Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8151870Z graph_break [] 2025-12-04T12:21:59.8152079Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8152816Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8152917Z warnings.warn( 2025-12-04T12:21:59.8153058Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8153428Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8153546Z Traceback (most recent call last): 2025-12-04T12:21:59.8154028Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8154182Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8154699Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8154834Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8155022Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8155027Z 2025-12-04T12:21:59.8155252Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8155967Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8155975Z 2025-12-04T12:21:59.8156242Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8156465Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8156579Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8156703Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8156822Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8157073Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8157180Z graph_break [] 2025-12-04T12:21:59.8157393Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8158128Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8158320Z warnings.warn( 2025-12-04T12:21:59.8158531Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8158669Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8158794Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8159012Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8159147Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8159244Z graph_break [] 2025-12-04T12:21:59.8159456Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8160199Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8160299Z warnings.warn( 2025-12-04T12:21:59.8160512Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8160634Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8160749Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8160982Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8161106Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8161203Z graph_break [] 2025-12-04T12:21:59.8161428Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8162152Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8162249Z warnings.warn( 2025-12-04T12:21:59.8163019Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-cd46952b1f90032b.xml - 2025-12-04T12:21:59.8163189Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8164027Z FAILED [0.2585s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8164038Z 2025-12-04T12:21:59.8164257Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8164977Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8164993Z 2025-12-04T12:21:59.8165259Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8165436Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8165643Z ================== 1 failed, 275 deselected, 2 rerun in 5.14s ================== 2025-12-04T12:21:59.8165742Z Got exit code 1 2025-12-04T12:21:59.8165850Z Retrying single test... 2025-12-04T12:21:59.8166430Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-35681961f94bf2fb.xml 2025-12-04T12:21:59.8166595Z ============================= test session starts ============================== 2025-12-04T12:21:59.8166952Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8167059Z cachedir: .pytest_cache 2025-12-04T12:21:59.8167580Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8167712Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8167821Z configfile: pytest.ini 2025-12-04T12:21:59.8168447Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8168683Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8169487Z stepcurrent: skipping 70 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8169676Z Running 1 items in this shard 2025-12-04T12:21:59.8169681Z 2025-12-04T12:21:59.8170390Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9269s] [100%] 2025-12-04T12:21:59.8171155Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2782s] [100%] 2025-12-04T12:21:59.8171765Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2589s] [100%] 2025-12-04T12:21:59.8171771Z 2025-12-04T12:21:59.8171911Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8172284Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8172416Z Traceback (most recent call last): 2025-12-04T12:21:59.8172894Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8173069Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8173592Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8173730Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8173923Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8173928Z 2025-12-04T12:21:59.8174144Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8174877Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8174882Z 2025-12-04T12:21:59.8175152Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8175390Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8175503Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8175624Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8175764Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8175987Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8176088Z graph_break [] 2025-12-04T12:21:59.8176319Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8177059Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8177177Z warnings.warn( 2025-12-04T12:21:59.8177534Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8177657Z Traceback (most recent call last): 2025-12-04T12:21:59.8178143Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8178302Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8178822Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8178967Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8179158Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8179163Z 2025-12-04T12:21:59.8179388Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8180141Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8180146Z 2025-12-04T12:21:59.8180412Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8180645Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8180812Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8180938Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8181087Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8181305Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8181417Z graph_break [] 2025-12-04T12:21:59.8181633Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8182372Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8182493Z warnings.warn( 2025-12-04T12:21:59.8182705Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8182828Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8182939Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8183158Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8183293Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8183389Z graph_break [] 2025-12-04T12:21:59.8183604Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8184347Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8184446Z warnings.warn( 2025-12-04T12:21:59.8184601Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8184957Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8185079Z Traceback (most recent call last): 2025-12-04T12:21:59.8185563Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8185720Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8186238Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8186379Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8186571Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8186576Z 2025-12-04T12:21:59.8186802Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8187520Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8187527Z 2025-12-04T12:21:59.8187791Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8188022Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8188132Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8188264Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8188386Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8188606Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8188718Z graph_break [] 2025-12-04T12:21:59.8188934Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8189667Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8189779Z warnings.warn( 2025-12-04T12:21:59.8189994Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8190139Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8190267Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8190487Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8190619Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8190716Z graph_break [] 2025-12-04T12:21:59.8190927Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8191755Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8191856Z warnings.warn( 2025-12-04T12:21:59.8192071Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8192195Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8192307Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8192536Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8192657Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8192754Z graph_break [] 2025-12-04T12:21:59.8192981Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8193710Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8193814Z warnings.warn( 2025-12-04T12:21:59.8194582Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-35681961f94bf2fb.xml - 2025-12-04T12:21:59.8194758Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8195598Z FAILED [0.2589s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8195604Z 2025-12-04T12:21:59.8195821Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8196535Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8196553Z 2025-12-04T12:21:59.8196818Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8196999Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8197214Z ================== 1 failed, 275 deselected, 2 rerun in 5.22s ================== 2025-12-04T12:21:59.8197315Z Got exit code 1 2025-12-04T12:21:59.8197947Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8198378Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.8198953Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0976fbc9415fa825.xml 2025-12-04T12:21:59.8199128Z ============================= test session starts ============================== 2025-12-04T12:21:59.8199478Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8199592Z cachedir: .pytest_cache 2025-12-04T12:21:59.8200130Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8200256Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8200365Z configfile: pytest.ini 2025-12-04T12:21:59.8200968Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8201191Z collecting ... collected 571 items / 71 deselected / 500 selected 2025-12-04T12:21:59.8201384Z stepcurrent: skipping 71 already run items. 2025-12-04T12:21:59.8201498Z Running 205 items in this shard 2025-12-04T12:21:59.8201503Z 2025-12-04T12:21:59.8202097Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_float16_cuda PASSED [3.4436s] [ 0%] 2025-12-04T12:21:59.8202687Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_False_float16_cuda PASSED [0.3532s] [ 0%] 2025-12-04T12:21:59.8203457Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0926s] [ 1%] 2025-12-04T12:21:59.8204137Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2795s] [ 1%] 2025-12-04T12:21:59.8204889Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2718s] [ 1%] 2025-12-04T12:21:59.8204897Z 2025-12-04T12:21:59.8205050Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8205404Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8205526Z Traceback (most recent call last): 2025-12-04T12:21:59.8206017Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8206182Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8206709Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8206844Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8207033Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8207039Z 2025-12-04T12:21:59.8207265Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8207974Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8207980Z 2025-12-04T12:21:59.8208247Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8208476Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8208592Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8208718Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8208938Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8209060Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8209169Z graph_break [] 2025-12-04T12:21:59.8209381Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8210117Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8210230Z warnings.warn( 2025-12-04T12:21:59.8210579Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8210714Z Traceback (most recent call last): 2025-12-04T12:21:59.8211285Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8211445Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8211981Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8212104Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8212294Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8212299Z 2025-12-04T12:21:59.8212526Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8213309Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8213315Z 2025-12-04T12:21:59.8213596Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8213812Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8213924Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8214093Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8214367Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8214550Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8214649Z graph_break [] 2025-12-04T12:21:59.8214864Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8215606Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8215709Z warnings.warn( 2025-12-04T12:21:59.8215928Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8216050Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8216163Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8216385Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8216522Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8216624Z graph_break [] 2025-12-04T12:21:59.8216857Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8217586Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8217686Z warnings.warn( 2025-12-04T12:21:59.8217841Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8218195Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8218320Z Traceback (most recent call last): 2025-12-04T12:21:59.8218807Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8218960Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8219488Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8219613Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8219802Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8219809Z 2025-12-04T12:21:59.8220034Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8220741Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8220746Z 2025-12-04T12:21:59.8221027Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8221241Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8221351Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8221478Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8221698Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8221819Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8221930Z graph_break [] 2025-12-04T12:21:59.8222142Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8222897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8223000Z warnings.warn( 2025-12-04T12:21:59.8223214Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8223337Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8223501Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8223720Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8223854Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8223955Z graph_break [] 2025-12-04T12:21:59.8224182Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8224914Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8225077Z warnings.warn( 2025-12-04T12:21:59.8225335Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8225448Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8225563Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8225797Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8225922Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8226019Z graph_break [] 2025-12-04T12:21:59.8226248Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8226977Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8227095Z warnings.warn( 2025-12-04T12:21:59.8227848Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0976fbc9415fa825.xml - 2025-12-04T12:21:59.8228025Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8228864Z FAILED [0.2718s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8228870Z 2025-12-04T12:21:59.8229085Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8229815Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8229820Z 2025-12-04T12:21:59.8230092Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8230286Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8230505Z ============= 1 failed, 2 passed, 71 deselected, 2 rerun in 6.12s ============== 2025-12-04T12:21:59.8230607Z Got exit code 1 2025-12-04T12:21:59.8230734Z Retrying single test... 2025-12-04T12:21:59.8231311Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-65d7a2331f1488b1.xml 2025-12-04T12:21:59.8231474Z ============================= test session starts ============================== 2025-12-04T12:21:59.8231837Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8231951Z cachedir: .pytest_cache 2025-12-04T12:21:59.8232484Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8232608Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8232720Z configfile: pytest.ini 2025-12-04T12:21:59.8233331Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8233561Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8234357Z stepcurrent: skipping 73 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8234485Z Running 1 items in this shard 2025-12-04T12:21:59.8234490Z 2025-12-04T12:21:59.8235192Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9430s] [100%] 2025-12-04T12:21:59.8235878Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2846s] [100%] 2025-12-04T12:21:59.8236456Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.3060s] [100%] 2025-12-04T12:21:59.8236519Z 2025-12-04T12:21:59.8236702Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8237055Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8237177Z Traceback (most recent call last): 2025-12-04T12:21:59.8237666Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8237823Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8238340Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8238474Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8238663Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8238668Z 2025-12-04T12:21:59.8238894Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8239612Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8239617Z 2025-12-04T12:21:59.8239881Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8240109Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8240221Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8240348Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8240471Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8240693Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8240810Z graph_break [] 2025-12-04T12:21:59.8241027Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8241756Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8241873Z warnings.warn( 2025-12-04T12:21:59.8242225Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8242361Z Traceback (most recent call last): 2025-12-04T12:21:59.8242835Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8242989Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8243530Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8243654Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8243850Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8243856Z 2025-12-04T12:21:59.8244086Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8244796Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8244806Z 2025-12-04T12:21:59.8245091Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8245309Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8245423Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8245557Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8245680Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8245974Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8246076Z graph_break [] 2025-12-04T12:21:59.8246293Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8247039Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8247207Z warnings.warn( 2025-12-04T12:21:59.8247423Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8247578Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8247697Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8247917Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8248053Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8248157Z graph_break [] 2025-12-04T12:21:59.8248384Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8249116Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8249219Z warnings.warn( 2025-12-04T12:21:59.8249378Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8249732Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8249860Z Traceback (most recent call last): 2025-12-04T12:21:59.8250350Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8250504Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8251122Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8251252Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8251444Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8251451Z 2025-12-04T12:21:59.8251683Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8252395Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8252401Z 2025-12-04T12:21:59.8252683Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8252902Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8253020Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8253152Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8253272Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8253492Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8253604Z graph_break [] 2025-12-04T12:21:59.8253819Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8254565Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8254667Z warnings.warn( 2025-12-04T12:21:59.8254878Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8255003Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8255119Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8255335Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8255472Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8255570Z graph_break [] 2025-12-04T12:21:59.8255793Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8256525Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8256625Z warnings.warn( 2025-12-04T12:21:59.8256898Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8257009Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8257126Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8257354Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8257474Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8257646Z graph_break [] 2025-12-04T12:21:59.8257857Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8258619Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8258734Z warnings.warn( 2025-12-04T12:21:59.8259484Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-65d7a2331f1488b1.xml - 2025-12-04T12:21:59.8259656Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8260488Z FAILED [0.3060s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8260493Z 2025-12-04T12:21:59.8260709Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8261441Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8261446Z 2025-12-04T12:21:59.8261712Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8261905Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8262101Z ================== 1 failed, 275 deselected, 2 rerun in 5.24s ================== 2025-12-04T12:21:59.8262203Z Got exit code 1 2025-12-04T12:21:59.8262323Z Retrying single test... 2025-12-04T12:21:59.8262901Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-ee6f5d717e4881c4.xml 2025-12-04T12:21:59.8263059Z ============================= test session starts ============================== 2025-12-04T12:21:59.8263419Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8263534Z cachedir: .pytest_cache 2025-12-04T12:21:59.8264066Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8264189Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8264298Z configfile: pytest.ini 2025-12-04T12:21:59.8264901Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8265129Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8265921Z stepcurrent: skipping 73 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8266047Z Running 1 items in this shard 2025-12-04T12:21:59.8266052Z 2025-12-04T12:21:59.8266719Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9203s] [100%] 2025-12-04T12:21:59.8267401Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2654s] [100%] 2025-12-04T12:21:59.8267979Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2580s] [100%] 2025-12-04T12:21:59.8267984Z 2025-12-04T12:21:59.8268177Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8268530Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8268652Z Traceback (most recent call last): 2025-12-04T12:21:59.8269139Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8269325Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8269877Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8270047Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8270239Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8270244Z 2025-12-04T12:21:59.8270474Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8271191Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8271196Z 2025-12-04T12:21:59.8271461Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8271696Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8271807Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8271936Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8272060Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8272285Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8272400Z graph_break [] 2025-12-04T12:21:59.8272613Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8273343Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8273454Z warnings.warn( 2025-12-04T12:21:59.8273808Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8273941Z Traceback (most recent call last): 2025-12-04T12:21:59.8274412Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8274567Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8275095Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8275220Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8275411Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8275416Z 2025-12-04T12:21:59.8275641Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8276350Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8276355Z 2025-12-04T12:21:59.8276635Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8276851Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8276973Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8277102Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8277223Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8277458Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8277559Z graph_break [] 2025-12-04T12:21:59.8277776Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8278520Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8278624Z warnings.warn( 2025-12-04T12:21:59.8278836Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8278999Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8279115Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8279348Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8279471Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8279573Z graph_break [] 2025-12-04T12:21:59.8279802Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8280710Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8280813Z warnings.warn( 2025-12-04T12:21:59.8280974Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8281328Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8281464Z Traceback (most recent call last): 2025-12-04T12:21:59.8281944Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8282101Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8282634Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8282759Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8282956Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8282963Z 2025-12-04T12:21:59.8283197Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8283914Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8283920Z 2025-12-04T12:21:59.8284202Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8284419Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8284537Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8284674Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8284796Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8285014Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8285123Z graph_break [] 2025-12-04T12:21:59.8285339Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8286090Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8286192Z warnings.warn( 2025-12-04T12:21:59.8286405Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8286526Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8286636Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8286852Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8286993Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8287094Z graph_break [] 2025-12-04T12:21:59.8287316Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8288040Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8288144Z warnings.warn( 2025-12-04T12:21:59.8288367Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8288478Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8288590Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8288819Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8288938Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8289045Z graph_break [] 2025-12-04T12:21:59.8289256Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8290015Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8290129Z warnings.warn( 2025-12-04T12:21:59.8290882Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-ee6f5d717e4881c4.xml - 2025-12-04T12:21:59.8291193Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8292064Z FAILED [0.2580s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8292070Z 2025-12-04T12:21:59.8292286Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8293016Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8293021Z 2025-12-04T12:21:59.8293285Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8293475Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8293675Z ================== 1 failed, 275 deselected, 2 rerun in 5.14s ================== 2025-12-04T12:21:59.8293782Z Got exit code 1 2025-12-04T12:21:59.8294426Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8294835Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.8295405Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-598e9993d6da084a.xml 2025-12-04T12:21:59.8295583Z ============================= test session starts ============================== 2025-12-04T12:21:59.8295934Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8296060Z cachedir: .pytest_cache 2025-12-04T12:21:59.8296581Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8296706Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8296830Z configfile: pytest.ini 2025-12-04T12:21:59.8297427Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8297663Z collecting ... collected 571 items / 74 deselected / 497 selected 2025-12-04T12:21:59.8297804Z stepcurrent: skipping 74 already run items. 2025-12-04T12:21:59.8297921Z Running 202 items in this shard 2025-12-04T12:21:59.8297926Z 2025-12-04T12:21:59.8298529Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tanh_load_upcast_to_fp32_True_float16_cuda PASSED [3.4507s] [ 0%] 2025-12-04T12:21:59.8299218Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.0937s] [ 0%] 2025-12-04T12:21:59.8299918Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2694s] [ 0%] 2025-12-04T12:21:59.8300519Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2682s] [ 0%] 2025-12-04T12:21:59.8300525Z 2025-12-04T12:21:59.8300664Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8301047Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8301169Z Traceback (most recent call last): 2025-12-04T12:21:59.8301692Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8301849Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8302369Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8302505Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8302729Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8302765Z 2025-12-04T12:21:59.8303006Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8303744Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8303750Z 2025-12-04T12:21:59.8304015Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8304247Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8304361Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8304692Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8304933Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8305056Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8305155Z graph_break [] 2025-12-04T12:21:59.8305390Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8306133Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8306253Z warnings.warn( 2025-12-04T12:21:59.8306624Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8306748Z Traceback (most recent call last): 2025-12-04T12:21:59.8307236Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8307395Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8307932Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8308054Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8308244Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8308253Z 2025-12-04T12:21:59.8308478Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8309200Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8309205Z 2025-12-04T12:21:59.8309485Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8309698Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8309809Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8309938Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8310156Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8310277Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8310389Z graph_break [] 2025-12-04T12:21:59.8310601Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8311333Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8311449Z warnings.warn( 2025-12-04T12:21:59.8311661Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8311784Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8311899Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8312117Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8312249Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8312422Z graph_break [] 2025-12-04T12:21:59.8312636Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8313375Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8313522Z warnings.warn( 2025-12-04T12:21:59.8313724Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8314132Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8314257Z Traceback (most recent call last): 2025-12-04T12:21:59.8314738Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8314894Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8315414Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8315548Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8315738Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8315743Z 2025-12-04T12:21:59.8315970Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8316693Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8316705Z 2025-12-04T12:21:59.8316978Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8317207Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8317317Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8317442Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8317659Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8317782Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8317891Z graph_break [] 2025-12-04T12:21:59.8318106Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8318836Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8318950Z warnings.warn( 2025-12-04T12:21:59.8319164Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8319287Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8319401Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8319618Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8319751Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8319848Z graph_break [] 2025-12-04T12:21:59.8320060Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8320798Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8320901Z warnings.warn( 2025-12-04T12:21:59.8321125Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8321235Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8321351Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8321587Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8321710Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8321810Z graph_break [] 2025-12-04T12:21:59.8322035Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8322762Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8322862Z warnings.warn( 2025-12-04T12:21:59.8323662Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-598e9993d6da084a.xml - 2025-12-04T12:21:59.8323838Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8324686Z FAILED [0.2682s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8324770Z 2025-12-04T12:21:59.8325032Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8325770Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8325775Z 2025-12-04T12:21:59.8326038Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8326218Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8326446Z ============= 1 failed, 1 passed, 74 deselected, 2 rerun in 5.82s ============== 2025-12-04T12:21:59.8326546Z Got exit code 1 2025-12-04T12:21:59.8326655Z Retrying single test... 2025-12-04T12:21:59.8327244Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-3766760b160ddb42.xml 2025-12-04T12:21:59.8327410Z ============================= test session starts ============================== 2025-12-04T12:21:59.8327773Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8327886Z cachedir: .pytest_cache 2025-12-04T12:21:59.8328403Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8328539Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8328646Z configfile: pytest.ini 2025-12-04T12:21:59.8329240Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8329479Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8330287Z stepcurrent: skipping 75 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8330421Z Running 1 items in this shard 2025-12-04T12:21:59.8330426Z 2025-12-04T12:21:59.8331207Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9245s] [100%] 2025-12-04T12:21:59.8331910Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2760s] [100%] 2025-12-04T12:21:59.8332507Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2676s] [100%] 2025-12-04T12:21:59.8332513Z 2025-12-04T12:21:59.8332654Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8333037Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8333162Z Traceback (most recent call last): 2025-12-04T12:21:59.8333660Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8333820Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8334343Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8334483Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8334676Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8334681Z 2025-12-04T12:21:59.8334935Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8335678Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8335683Z 2025-12-04T12:21:59.8335949Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8336243Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8336360Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8336505Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8336645Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8336867Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8336967Z graph_break [] 2025-12-04T12:21:59.8337200Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8337940Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8338059Z warnings.warn( 2025-12-04T12:21:59.8338429Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8338551Z Traceback (most recent call last): 2025-12-04T12:21:59.8339041Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8339200Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8339736Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8339862Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8340054Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8340059Z 2025-12-04T12:21:59.8340286Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8341013Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8341018Z 2025-12-04T12:21:59.8341301Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8341518Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8341635Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8341765Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8341891Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8342115Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8342227Z graph_break [] 2025-12-04T12:21:59.8342438Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8343185Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8343284Z warnings.warn( 2025-12-04T12:21:59.8343497Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8343621Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8343735Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8343955Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8344090Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8344185Z graph_break [] 2025-12-04T12:21:59.8344400Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8345143Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8345244Z warnings.warn( 2025-12-04T12:21:59.8345402Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8345808Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8345930Z Traceback (most recent call last): 2025-12-04T12:21:59.8346416Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8346572Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8347123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8347318Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8347508Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8347513Z 2025-12-04T12:21:59.8347736Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8348458Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8348467Z 2025-12-04T12:21:59.8348733Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8348958Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8349069Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8349198Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8349320Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8349542Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8349655Z graph_break [] 2025-12-04T12:21:59.8349870Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8350601Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8350715Z warnings.warn( 2025-12-04T12:21:59.8350927Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8351054Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8351168Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8351388Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8351519Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8351615Z graph_break [] 2025-12-04T12:21:59.8351832Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8352584Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8352689Z warnings.warn( 2025-12-04T12:21:59.8352916Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8353028Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8353144Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8353377Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8353509Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8353607Z graph_break [] 2025-12-04T12:21:59.8353834Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8354564Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8354684Z warnings.warn( 2025-12-04T12:21:59.8355436Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-3766760b160ddb42.xml - 2025-12-04T12:21:59.8355612Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8356463Z FAILED [0.2676s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8356469Z 2025-12-04T12:21:59.8356724Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8357468Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8357473Z 2025-12-04T12:21:59.8357742Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8357986Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8358233Z ================== 1 failed, 275 deselected, 2 rerun in 5.14s ================== 2025-12-04T12:21:59.8358335Z Got exit code 1 2025-12-04T12:21:59.8358444Z Retrying single test... 2025-12-04T12:21:59.8359037Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-79032aadf9d3d8de.xml 2025-12-04T12:21:59.8359199Z ============================= test session starts ============================== 2025-12-04T12:21:59.8359563Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8359673Z cachedir: .pytest_cache 2025-12-04T12:21:59.8360192Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8360328Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8360440Z configfile: pytest.ini 2025-12-04T12:21:59.8361043Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8361271Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8362079Z stepcurrent: skipping 75 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8362206Z Running 1 items in this shard 2025-12-04T12:21:59.8362211Z 2025-12-04T12:21:59.8362902Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9511s] [100%] 2025-12-04T12:21:59.8363597Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2842s] [100%] 2025-12-04T12:21:59.8364199Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda FAILED [0.2837s] [100%] 2025-12-04T12:21:59.8364207Z 2025-12-04T12:21:59.8364349Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8364728Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8364849Z Traceback (most recent call last): 2025-12-04T12:21:59.8365338Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8365493Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8366015Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8366149Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8366340Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8366349Z 2025-12-04T12:21:59.8366561Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8367302Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8367308Z 2025-12-04T12:21:59.8367573Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8367801Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8367949Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8368068Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8368198Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8368417Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8368526Z graph_break [] 2025-12-04T12:21:59.8368741Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8370190Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8370314Z warnings.warn( 2025-12-04T12:21:59.8370682Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8370803Z Traceback (most recent call last): 2025-12-04T12:21:59.8371392Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8371555Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8372086Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8372207Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8372396Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8372404Z 2025-12-04T12:21:59.8372630Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8373356Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8373361Z 2025-12-04T12:21:59.8373641Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8373859Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8373969Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8374095Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8374219Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8374441Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8374550Z graph_break [] 2025-12-04T12:21:59.8374764Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8375510Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8375616Z warnings.warn( 2025-12-04T12:21:59.8375832Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8375957Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8376075Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8376294Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8376432Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8376531Z graph_break [] 2025-12-04T12:21:59.8376748Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8377682Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8377872Z warnings.warn( 2025-12-04T12:21:59.8378170Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8378707Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda _ 2025-12-04T12:21:59.8378833Z Traceback (most recent call last): 2025-12-04T12:21:59.8379321Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8379479Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8380011Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8380191Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8380385Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8380390Z 2025-12-04T12:21:59.8380618Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8381349Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8381421Z 2025-12-04T12:21:59.8381733Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8381951Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8382064Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8382194Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8382313Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8382533Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8382645Z graph_break [] 2025-12-04T12:21:59.8382858Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8383593Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8383706Z warnings.warn( 2025-12-04T12:21:59.8383931Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8384058Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8384173Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8384396Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8384534Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8384633Z graph_break [] 2025-12-04T12:21:59.8384845Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8385594Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8385695Z warnings.warn( 2025-12-04T12:21:59.8385922Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8386034Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8386151Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8386386Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8386515Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8386614Z graph_break [] 2025-12-04T12:21:59.8386846Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8387577Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8387689Z warnings.warn( 2025-12-04T12:21:59.8388450Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-79032aadf9d3d8de.xml - 2025-12-04T12:21:59.8388621Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8389479Z FAILED [0.2837s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8389488Z 2025-12-04T12:21:59.8389704Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8390447Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8390452Z 2025-12-04T12:21:59.8390719Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8390901Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8391152Z ================== 1 failed, 275 deselected, 2 rerun in 5.24s ================== 2025-12-04T12:21:59.8391255Z Got exit code 1 2025-12-04T12:21:59.8391915Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda 2025-12-04T12:21:59.8392331Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.8393000Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-2c426c79c1e4ac86.xml 2025-12-04T12:21:59.8393189Z ============================= test session starts ============================== 2025-12-04T12:21:59.8393542Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8393654Z cachedir: .pytest_cache 2025-12-04T12:21:59.8394193Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8394318Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8394440Z configfile: pytest.ini 2025-12-04T12:21:59.8395036Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8395262Z collecting ... collected 571 items / 76 deselected / 495 selected 2025-12-04T12:21:59.8395424Z stepcurrent: skipping 76 already run items. 2025-12-04T12:21:59.8395539Z Running 200 items in this shard 2025-12-04T12:21:59.8395546Z 2025-12-04T12:21:59.8396247Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9345s] [ 0%] 2025-12-04T12:21:59.8396930Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2832s] [ 0%] 2025-12-04T12:21:59.8397521Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2734s] [ 0%] 2025-12-04T12:21:59.8397527Z 2025-12-04T12:21:59.8397681Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8398045Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8398185Z Traceback (most recent call last): 2025-12-04T12:21:59.8398660Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8398815Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8399351Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8399473Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8399662Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8399681Z 2025-12-04T12:21:59.8399890Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8400609Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8400615Z 2025-12-04T12:21:59.8400894Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8401113Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8401227Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8401352Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8401472Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8401702Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8401802Z graph_break [] 2025-12-04T12:21:59.8402015Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8402802Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8402904Z warnings.warn( 2025-12-04T12:21:59.8403264Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8403430Z Traceback (most recent call last): 2025-12-04T12:21:59.8403931Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8404127Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8404848Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8404972Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8405175Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8405180Z 2025-12-04T12:21:59.8405398Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8406130Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8406135Z 2025-12-04T12:21:59.8406401Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8406619Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8406749Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8406865Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8406990Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8407222Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8407322Z graph_break [] 2025-12-04T12:21:59.8407546Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8408287Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8408389Z warnings.warn( 2025-12-04T12:21:59.8408617Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8408728Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8408842Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8409072Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8409193Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8409303Z graph_break [] 2025-12-04T12:21:59.8409517Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8410245Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8410356Z warnings.warn( 2025-12-04T12:21:59.8410500Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8410859Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8410995Z Traceback (most recent call last): 2025-12-04T12:21:59.8411539Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8411716Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8412237Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8412363Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8412569Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8412574Z 2025-12-04T12:21:59.8412789Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8413601Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8413622Z 2025-12-04T12:21:59.8413890Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8414108Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8414234Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8414401Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8414565Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8414797Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8414942Z graph_break [] 2025-12-04T12:21:59.8415155Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8415897Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8416001Z warnings.warn( 2025-12-04T12:21:59.8416231Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8416341Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8416454Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8416682Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8416802Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8416902Z graph_break [] 2025-12-04T12:21:59.8417132Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8417863Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8417977Z warnings.warn( 2025-12-04T12:21:59.8418189Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8418300Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8418428Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8418648Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8418767Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8418877Z graph_break [] 2025-12-04T12:21:59.8419088Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8419826Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8419930Z warnings.warn( 2025-12-04T12:21:59.8420685Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-2c426c79c1e4ac86.xml - 2025-12-04T12:21:59.8420868Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8421704Z FAILED [0.2734s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8421710Z 2025-12-04T12:21:59.8421937Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8422651Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8422658Z 2025-12-04T12:21:59.8422922Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8423113Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8423309Z ================== 1 failed, 76 deselected, 2 rerun in 5.21s =================== 2025-12-04T12:21:59.8423419Z Got exit code 1 2025-12-04T12:21:59.8423524Z Retrying single test... 2025-12-04T12:21:59.8424095Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-2341e90489c40803.xml 2025-12-04T12:21:59.8424305Z ============================= test session starts ============================== 2025-12-04T12:21:59.8424656Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8424764Z cachedir: .pytest_cache 2025-12-04T12:21:59.8425295Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8425450Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8425601Z configfile: pytest.ini 2025-12-04T12:21:59.8426222Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8426448Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8427265Z stepcurrent: skipping 76 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8427381Z Running 1 items in this shard 2025-12-04T12:21:59.8427386Z 2025-12-04T12:21:59.8428077Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9739s] [100%] 2025-12-04T12:21:59.8428759Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2979s] [100%] 2025-12-04T12:21:59.8429362Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2963s] [100%] 2025-12-04T12:21:59.8429368Z 2025-12-04T12:21:59.8429521Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8429882Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8430022Z Traceback (most recent call last): 2025-12-04T12:21:59.8430499Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8430659Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8431191Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8431315Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8431507Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8431528Z 2025-12-04T12:21:59.8431741Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8432465Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8432471Z 2025-12-04T12:21:59.8432747Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8432967Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8433094Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8433208Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8433329Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8433562Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8433660Z graph_break [] 2025-12-04T12:21:59.8433877Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8434627Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8434726Z warnings.warn( 2025-12-04T12:21:59.8435087Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8435221Z Traceback (most recent call last): 2025-12-04T12:21:59.8435694Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8435894Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8436413Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8443184Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8443446Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8443581Z 2025-12-04T12:21:59.8443817Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8444586Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8444594Z 2025-12-04T12:21:59.8444876Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8445106Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8445223Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8445359Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8445483Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8445709Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8445826Z graph_break [] 2025-12-04T12:21:59.8446045Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8446810Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8446919Z warnings.warn( 2025-12-04T12:21:59.8447136Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8447253Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8447367Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8447591Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8447735Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8447836Z graph_break [] 2025-12-04T12:21:59.8448064Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8448796Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8448902Z warnings.warn( 2025-12-04T12:21:59.8449063Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8449430Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8449549Z Traceback (most recent call last): 2025-12-04T12:21:59.8450034Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8450187Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8450723Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8450848Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8451162Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8451169Z 2025-12-04T12:21:59.8451398Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8452121Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8452131Z 2025-12-04T12:21:59.8452413Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8452630Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8452742Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8452870Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8452991Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8453254Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8453367Z graph_break [] 2025-12-04T12:21:59.8453581Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8454330Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8454465Z warnings.warn( 2025-12-04T12:21:59.8454712Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8454868Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8454982Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8455202Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8455336Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8455433Z graph_break [] 2025-12-04T12:21:59.8455648Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8456394Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8456496Z warnings.warn( 2025-12-04T12:21:59.8456721Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8456831Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8456946Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8457179Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8457301Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8457398Z graph_break [] 2025-12-04T12:21:59.8457623Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8458351Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8458463Z warnings.warn( 2025-12-04T12:21:59.8459214Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-2341e90489c40803.xml - 2025-12-04T12:21:59.8459383Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8460237Z FAILED [0.2963s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8460247Z 2025-12-04T12:21:59.8460467Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8461196Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8461201Z 2025-12-04T12:21:59.8461466Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8461644Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8461856Z ================== 1 failed, 275 deselected, 2 rerun in 5.30s ================== 2025-12-04T12:21:59.8461956Z Got exit code 1 2025-12-04T12:21:59.8462081Z Retrying single test... 2025-12-04T12:21:59.8462661Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-90f863ab3d1c9642.xml 2025-12-04T12:21:59.8462826Z ============================= test session starts ============================== 2025-12-04T12:21:59.8463196Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8463306Z cachedir: .pytest_cache 2025-12-04T12:21:59.8463826Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8463965Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8464073Z configfile: pytest.ini 2025-12-04T12:21:59.8464779Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8465012Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8465821Z stepcurrent: skipping 76 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8466009Z Running 1 items in this shard 2025-12-04T12:21:59.8466014Z 2025-12-04T12:21:59.8466730Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [2.9283s] [100%] 2025-12-04T12:21:59.8467426Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda ('RERUN', {'yellow': True}) [0.2617s] [100%] 2025-12-04T12:21:59.8468021Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda FAILED [0.2587s] [100%] 2025-12-04T12:21:59.8468027Z 2025-12-04T12:21:59.8468181Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8468543Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8468669Z Traceback (most recent call last): 2025-12-04T12:21:59.8469160Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8469318Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8469843Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8469982Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8470176Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8470181Z 2025-12-04T12:21:59.8470416Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8471150Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8471157Z 2025-12-04T12:21:59.8471425Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8471660Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8471777Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8471907Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8472032Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8472255Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8472371Z graph_break [] 2025-12-04T12:21:59.8472588Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8473327Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8473447Z warnings.warn( 2025-12-04T12:21:59.8473815Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8473953Z Traceback (most recent call last): 2025-12-04T12:21:59.8474426Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8474588Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8475123Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8475252Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8475444Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8475450Z 2025-12-04T12:21:59.8475675Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8476426Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8476432Z 2025-12-04T12:21:59.8476714Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8476930Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8477121Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8477248Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8477411Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8477635Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8477745Z graph_break [] 2025-12-04T12:21:59.8477957Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8478707Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8478809Z warnings.warn( 2025-12-04T12:21:59.8479021Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8479146Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8479260Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8479480Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8479623Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8479720Z graph_break [] 2025-12-04T12:21:59.8479951Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8480677Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8480777Z warnings.warn( 2025-12-04T12:21:59.8480935Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8481298Z _ TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda _ 2025-12-04T12:21:59.8481421Z Traceback (most recent call last): 2025-12-04T12:21:59.8481904Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 224, in test_dtype_aware_codegen 2025-12-04T12:21:59.8482057Z code = run_and_get_triton_code(compiled, *inps) 2025-12-04T12:21:59.8482591Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/utils.py", line 2492, in run_and_get_triton_code 2025-12-04T12:21:59.8482717Z assert 1 <= len(source_codes) <= 2, ( 2025-12-04T12:21:59.8482908Z AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8482914Z 2025-12-04T12:21:59.8483141Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8483861Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8483867Z 2025-12-04T12:21:59.8484148Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8484362Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8484474Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8484603Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8484723Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8484948Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8485059Z graph_break [] 2025-12-04T12:21:59.8485275Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8486020Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8486121Z warnings.warn( 2025-12-04T12:21:59.8486335Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8486489Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8486604Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8486824Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8486961Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8487057Z graph_break [] 2025-12-04T12:21:59.8487282Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8488099Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8488202Z warnings.warn( 2025-12-04T12:21:59.8488428Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8488538Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8488652Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8488885Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8489007Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8489104Z graph_break [] 2025-12-04T12:21:59.8489332Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8490062Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8490179Z warnings.warn( 2025-12-04T12:21:59.8490936Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-90f863ab3d1c9642.xml - 2025-12-04T12:21:59.8491193Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8492046Z FAILED [0.2587s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda - AssertionError: expected one or two code outputs got 0 2025-12-04T12:21:59.8492052Z 2025-12-04T12:21:59.8492273Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8493003Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8493008Z 2025-12-04T12:21:59.8493271Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8493456Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8493678Z ================== 1 failed, 275 deselected, 2 rerun in 5.13s ================== 2025-12-04T12:21:59.8493780Z Got exit code 1 2025-12-04T12:21:59.8494433Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda 2025-12-04T12:21:59.8494846Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.8495417Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-150413967cb360e4.xml 2025-12-04T12:21:59.8495595Z ============================= test session starts ============================== 2025-12-04T12:21:59.8495947Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8496076Z cachedir: .pytest_cache 2025-12-04T12:21:59.8496600Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8496727Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8496854Z configfile: pytest.ini 2025-12-04T12:21:59.8497447Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8497672Z collecting ... collected 571 items / 77 deselected / 494 selected 2025-12-04T12:21:59.8497831Z stepcurrent: skipping 77 already run items. 2025-12-04T12:21:59.8497990Z Running 199 items in this shard 2025-12-04T12:21:59.8497995Z 2025-12-04T12:21:59.8498609Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_float16_cuda PASSED [3.5092s] [ 0%] 2025-12-04T12:21:59.8499046Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_abs_cuda_int32 PASSED [0.2479s] [ 1%] 2025-12-04T12:21:59.8499550Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_acos_cuda_float64 PASSED [0.5231s] [ 1%] 2025-12-04T12:21:59.8500031Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_acos_cuda_int32 PASSED [0.5132s] [ 2%] 2025-12-04T12:21:59.8500487Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_acosh_cuda_float64 PASSED [0.5502s] [ 2%] 2025-12-04T12:21:59.8500938Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_acosh_cuda_int32 PASSED [0.5273s] [ 3%] 2025-12-04T12:21:59.8501379Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_add_cuda_float32 PASSED [2.7237s] [ 3%] 2025-12-04T12:21:59.8501818Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_add_cuda_float64 PASSED [2.9661s] [ 4%] 2025-12-04T12:21:59.8502265Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_angle_cuda_bool PASSED [0.2660s] [ 4%] 2025-12-04T12:21:59.8502719Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_angle_cuda_float64 PASSED [0.3488s] [ 5%] 2025-12-04T12:21:59.8503180Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_angle_cuda_int32 PASSED [0.2547s] [ 5%] 2025-12-04T12:21:59.8503611Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asin_cuda_bool PASSED [0.3584s] [ 6%] 2025-12-04T12:21:59.8504042Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asin_cuda_int64 PASSED [0.3236s] [ 6%] 2025-12-04T12:21:59.8504669Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asinh_cuda_bool PASSED [0.3479s] [ 7%] 2025-12-04T12:21:59.8505123Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asinh_cuda_float32 PASSED [0.3450s] [ 7%] 2025-12-04T12:21:59.8505584Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asinh_cuda_float64 PASSED [0.3769s] [ 8%] 2025-12-04T12:21:59.8506021Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_asinh_cuda_int32 PASSED [0.3456s] [ 8%] 2025-12-04T12:21:59.8506468Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atan_cuda_float64 PASSED [0.3409s] [ 9%] 2025-12-04T12:21:59.8506909Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atan_cuda_int32 PASSED [0.3322s] [ 9%] 2025-12-04T12:21:59.8507341Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atan_cuda_int64 PASSED [0.3299s] [ 10%] 2025-12-04T12:21:59.8507802Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atanh_cuda_float32 PASSED [0.3274s] [ 10%] 2025-12-04T12:21:59.8508250Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atanh_cuda_float64 PASSED [0.3894s] [ 11%] 2025-12-04T12:21:59.8508685Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_atanh_cuda_int64 PASSED [0.3311s] [ 11%] 2025-12-04T12:21:59.8509204Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_left_shift_cuda_int32 PASSED [1.5972s] [ 12%] 2025-12-04T12:21:59.8509715Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_left_shift_cuda_int64 PASSED [1.6231s] [ 12%] 2025-12-04T12:21:59.8510201Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_not_cuda_int32 PASSED [0.4135s] [ 13%] 2025-12-04T12:21:59.8510661Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_or_cuda_bool PASSED [1.6231s] [ 13%] 2025-12-04T12:21:59.8511196Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_or_cuda_int32 PASSED [1.8683s] [ 14%] 2025-12-04T12:21:59.8511678Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_xor_cuda_bool PASSED [1.5973s] [ 14%] 2025-12-04T12:21:59.8512146Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_bitwise_xor_cuda_int32 PASSED [1.5649s] [ 15%] 2025-12-04T12:21:59.8512647Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_ceil_cuda_float64 PASSED [0.3015s] [ 15%] 2025-12-04T12:21:59.8513180Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_ceil_cuda_int32 PASSED [0.2127s] [ 16%] 2025-12-04T12:21:59.8513653Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_max_cuda_float32 PASSED [1.6107s] [ 16%] 2025-12-04T12:21:59.8514128Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_max_cuda_int32 PASSED [1.6062s] [ 17%] 2025-12-04T12:21:59.8514586Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_min_cuda_bool PASSED [1.6352s] [ 17%] 2025-12-04T12:21:59.8515064Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_min_cuda_float32 PASSED [1.6112s] [ 18%] 2025-12-04T12:21:59.8515519Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clamp_min_cuda_int32 PASSED [1.6183s] [ 18%] 2025-12-04T12:21:59.8515953Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clone_cuda_bool PASSED [0.3664s] [ 19%] 2025-12-04T12:21:59.8516417Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clone_cuda_float64 PASSED [0.3555s] [ 19%] 2025-12-04T12:21:59.8516852Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_clone_cuda_int64 PASSED [0.3573s] [ 20%] 2025-12-04T12:21:59.8517332Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_copysign_cuda_float64 PASSED [2.1920s] [ 20%] 2025-12-04T12:21:59.8517762Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cos_cuda_bool PASSED [0.5212s] [ 21%] 2025-12-04T12:21:59.8518199Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cos_cuda_float64 PASSED [0.5647s] [ 21%] 2025-12-04T12:21:59.8518641Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cos_cuda_int32 PASSED [0.5284s] [ 22%] 2025-12-04T12:21:59.8519087Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cosh_cuda_float32 PASSED [0.4938s] [ 22%] 2025-12-04T12:21:59.8519551Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_cosh_cuda_float64 PASSED [0.4865s] [ 23%] 2025-12-04T12:21:59.8520007Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_digamma_cuda_float32 PASSED 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inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_eq_cuda_float32 PASSED [1.7217s] [ 27%] 2025-12-04T12:21:59.8523855Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_eq_cuda_float64 PASSED [1.7117s] [ 27%] 2025-12-04T12:21:59.8524326Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_eq_cuda_int32 PASSED [1.6971s] [ 28%] 2025-12-04T12:21:59.8524755Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_eq_cuda_int64 PASSED [1.6961s] [ 28%] 2025-12-04T12:21:59.8525181Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erf_cuda_bool PASSED [0.3160s] [ 29%] 2025-12-04T12:21:59.8525629Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erf_cuda_float32 PASSED [0.3089s] [ 29%] 2025-12-04T12:21:59.8526170Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_erf_cuda_float64 PASSED [0.3079s] [ 30%] 2025-12-04T12:21:59.8526614Z 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inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_lgamma_cuda_bool PASSED [0.5518s] [ 48%] 2025-12-04T12:21:59.8542828Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_lgamma_cuda_int32 PASSED [0.8850s] [ 48%] 2025-12-04T12:21:59.8543261Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log1p_cuda_bool PASSED [0.3215s] [ 49%] 2025-12-04T12:21:59.8543706Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log1p_cuda_int32 PASSED [0.3208s] [ 49%] 2025-12-04T12:21:59.8544140Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log2_cuda_int32 PASSED [0.5093s] [ 50%] 2025-12-04T12:21:59.8544570Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log2_cuda_int64 PASSED [0.5125s] [ 50%] 2025-12-04T12:21:59.8545006Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_log_cuda_bool PASSED [0.5122s] [ 51%] 2025-12-04T12:21:59.8545435Z 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inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_maximum_cuda_bool PASSED [1.6328s] [ 61%] 2025-12-04T12:21:59.8555301Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_maximum_cuda_float32 PASSED [1.6164s] [ 62%] 2025-12-04T12:21:59.8555763Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_maximum_cuda_float64 PASSED [1.6581s] [ 62%] 2025-12-04T12:21:59.8556236Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_min_binary_cuda_float32 PASSED [1.7175s] [ 63%] 2025-12-04T12:21:59.8556718Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_min_binary_cuda_float64 PASSED [1.7287s] [ 63%] 2025-12-04T12:21:59.8557177Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_minimum_cuda_float32 PASSED [1.7171s] [ 64%] 2025-12-04T12:21:59.8557645Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_minimum_cuda_float64 PASSED [1.6166s] [ 64%] 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[1.2381s] [ 68%] 2025-12-04T12:21:59.8561416Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_0_cuda_float64 PASSED [1.0257s] [ 68%] 2025-12-04T12:21:59.8561955Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_1_cuda_int32 PASSED [1.2256s] [ 69%] 2025-12-04T12:21:59.8562500Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_2_cuda_bool PASSED [1.2210s] [ 69%] 2025-12-04T12:21:59.8563041Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_2_cuda_float64 PASSED [1.0105s] [ 70%] 2025-12-04T12:21:59.8563607Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_2_cuda_int64 PASSED [1.2067s] [ 70%] 2025-12-04T12:21:59.8564154Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_3_cuda_int64 PASSED [1.2070s] [ 71%] 2025-12-04T12:21:59.8564699Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_4_cuda_float32 PASSED [1.0044s] [ 71%] 2025-12-04T12:21:59.8565284Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_4_cuda_float64 PASSED [1.0059s] [ 72%] 2025-12-04T12:21:59.8565882Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_4_cuda_int32 PASSED [1.2207s] [ 72%] 2025-12-04T12:21:59.8566413Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_polygamma_polygamma_n_4_cuda_int64 PASSED [1.2336s] [ 73%] 2025-12-04T12:21:59.8566866Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_pow_cuda_float32 PASSED [2.1991s] [ 73%] 2025-12-04T12:21:59.8567329Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_reciprocal_cuda_bool PASSED [0.4270s] [ 74%] 2025-12-04T12:21:59.8567807Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_reciprocal_cuda_int64 PASSED [0.4485s] [ 74%] 2025-12-04T12:21:59.8568274Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_remainder_cuda_float32 PASSED [2.6187s] [ 75%] 2025-12-04T12:21:59.8568745Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_remainder_cuda_float64 PASSED [1.8206s] [ 75%] 2025-12-04T12:21:59.8569220Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_remainder_cuda_int32 PASSED [1.7581s] [ 76%] 2025-12-04T12:21:59.8569681Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_remainder_cuda_int64 PASSED [1.7917s] [ 76%] 2025-12-04T12:21:59.8570142Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_cuda_float32 PASSED [0.3048s] [ 77%] 2025-12-04T12:21:59.8570595Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_cuda_float64 PASSED [0.3043s] [ 77%] 2025-12-04T12:21:59.8571127Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_cuda_int64 PASSED [0.2186s] [ 78%] 2025-12-04T12:21:59.8571651Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_decimals_0_cuda_float64 PASSED [0.5392s] [ 78%] 2025-12-04T12:21:59.8572160Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_decimals_3_cuda_float32 PASSED [0.5287s] [ 79%] 2025-12-04T12:21:59.8572708Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_round_decimals_neg_3_cuda_float64 PASSED [0.5268s] [ 79%] 2025-12-04T12:21:59.8573146Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_rsqrt_cuda_bool PASSED [0.5006s] [ 80%] 2025-12-04T12:21:59.8573595Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_rsqrt_cuda_float32 PASSED [0.4940s] [ 80%] 2025-12-04T12:21:59.8574058Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_rsqrt_cuda_float64 PASSED [0.4979s] [ 81%] 2025-12-04T12:21:59.8574506Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sigmoid_cuda_bool PASSED [0.4219s] [ 81%] 2025-12-04T12:21:59.8574984Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sigmoid_cuda_float32 PASSED [0.4178s] [ 82%] 2025-12-04T12:21:59.8575418Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sign_cuda_bool PASSED [0.2225s] [ 82%] 2025-12-04T12:21:59.8575863Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sign_cuda_float32 PASSED [0.2377s] [ 83%] 2025-12-04T12:21:59.8576307Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sign_cuda_int32 PASSED [0.2341s] [ 83%] 2025-12-04T12:21:59.8576736Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sign_cuda_int64 PASSED [0.2336s] [ 84%] 2025-12-04T12:21:59.8577235Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_signbit_cuda_bool PASSED [0.2228s] [ 84%] 2025-12-04T12:21:59.8577705Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_signbit_cuda_float32 PASSED [0.3067s] [ 85%] 2025-12-04T12:21:59.8578163Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_signbit_cuda_float64 PASSED [0.2250s] [ 85%] 2025-12-04T12:21:59.8578671Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_signbit_cuda_int64 PASSED [0.2242s] [ 86%] 2025-12-04T12:21:59.8579174Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sin_cuda_bool PASSED [0.3595s] [ 86%] 2025-12-04T12:21:59.8579617Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sin_cuda_float64 PASSED [0.3810s] [ 87%] 2025-12-04T12:21:59.8580060Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sin_cuda_int32 PASSED [0.3549s] [ 87%] 2025-12-04T12:21:59.8580496Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sinh_cuda_bool PASSED [0.3501s] [ 88%] 2025-12-04T12:21:59.8580938Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sinh_cuda_float32 PASSED [0.3356s] [ 88%] 2025-12-04T12:21:59.8581395Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sinh_cuda_float64 PASSED [0.3376s] [ 89%] 2025-12-04T12:21:59.8581831Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sinh_cuda_int32 PASSED [0.3197s] [ 89%] 2025-12-04T12:21:59.8582283Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sqrt_cuda_int64 PASSED [0.3133s] [ 90%] 2025-12-04T12:21:59.8582735Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_square_cuda_float32 PASSED [0.4124s] [ 90%] 2025-12-04T12:21:59.8583177Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_square_cuda_int64 PASSED [0.4092s] [ 91%] 2025-12-04T12:21:59.8583627Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sub_cuda_float32 PASSED [1.9631s] [ 91%] 2025-12-04T12:21:59.8584054Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sub_cuda_int32 PASSED [1.9357s] [ 92%] 2025-12-04T12:21:59.8584495Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_sub_cuda_int64 PASSED [1.9655s] [ 92%] 2025-12-04T12:21:59.8584931Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tan_cuda_float32 PASSED [0.3508s] [ 93%] 2025-12-04T12:21:59.8585373Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tan_cuda_float64 PASSED [0.3746s] [ 93%] 2025-12-04T12:21:59.8585813Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tan_cuda_int64 PASSED [0.3502s] [ 94%] 2025-12-04T12:21:59.8586241Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tanh_cuda_bool PASSED [0.3254s] [ 94%] 2025-12-04T12:21:59.8586684Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_tanh_cuda_float32 PASSED [0.3229s] [ 95%] 2025-12-04T12:21:59.8587150Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_trunc_cuda_float64 PASSED [0.3051s] [ 95%] 2025-12-04T12:21:59.8587581Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_bool PASSED [1.8283s] [ 96%] 2025-12-04T12:21:59.8588044Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_float32 PASSED [1.7312s] [ 96%] 2025-12-04T12:21:59.8588499Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_float64 PASSED [2.1817s] [ 97%] 2025-12-04T12:21:59.8588938Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_int32 PASSED [1.7328s] [ 97%] 2025-12-04T12:21:59.8589392Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_op_dtype_propagation_where_cuda_int64 PASSED [1.7653s] [ 98%] 2025-12-04T12:21:59.8590022Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.1052s] [ 98%] 2025-12-04T12:21:59.8590706Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.5146s] [ 98%] 2025-12-04T12:21:59.8591248Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 FAILED [0.4846s] [ 98%] 2025-12-04T12:21:59.8591283Z 2025-12-04T12:21:59.8591475Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8591816Z _ TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 _ 2025-12-04T12:21:59.8591945Z Traceback (most recent call last): 2025-12-04T12:21:59.8592434Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 326, in test_upcast_rank_0_cpu 2025-12-04T12:21:59.8592607Z result, (code,) = run_and_get_code(compiled, *inps) 2025-12-04T12:21:59.8592822Z ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8592828Z 2025-12-04T12:21:59.8593057Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8593725Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8593730Z 2025-12-04T12:21:59.8594016Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8594238Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8594356Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8594488Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8594710Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8594845Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8594944Z graph_break [] 2025-12-04T12:21:59.8595161Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8595918Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8596019Z warnings.warn( 2025-12-04T12:21:59.8596328Z _ TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 _ 2025-12-04T12:21:59.8596463Z Traceback (most recent call last): 2025-12-04T12:21:59.8596934Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 326, in test_upcast_rank_0_cpu 2025-12-04T12:21:59.8597117Z result, (code,) = run_and_get_code(compiled, *inps) 2025-12-04T12:21:59.8597329Z ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8597335Z 2025-12-04T12:21:59.8597547Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8598222Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8598228Z 2025-12-04T12:21:59.8598491Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8598721Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8598836Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8598947Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8599180Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8599305Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8599398Z graph_break [] 2025-12-04T12:21:59.8599633Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8600372Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8600471Z warnings.warn( 2025-12-04T12:21:59.8600697Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8600839Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8600967Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8601181Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8601300Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8601407Z graph_break [] 2025-12-04T12:21:59.8601616Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8602436Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8602548Z warnings.warn( 2025-12-04T12:21:59.8602688Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8603013Z _ TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 _ 2025-12-04T12:21:59.8603133Z Traceback (most recent call last): 2025-12-04T12:21:59.8603602Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 326, in test_upcast_rank_0_cpu 2025-12-04T12:21:59.8603773Z result, (code,) = run_and_get_code(compiled, *inps) 2025-12-04T12:21:59.8603978Z ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8603983Z 2025-12-04T12:21:59.8604195Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8605070Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8605079Z 2025-12-04T12:21:59.8605346Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8605567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8605675Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8605789Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8606022Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8606144Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8606254Z graph_break [] 2025-12-04T12:21:59.8606467Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8607200Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8607319Z warnings.warn( 2025-12-04T12:21:59.8607535Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8607645Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8607772Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8607990Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8608109Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8608217Z graph_break [] 2025-12-04T12:21:59.8608429Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8609172Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8609270Z warnings.warn( 2025-12-04T12:21:59.8609481Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8609600Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8609716Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8609936Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8610068Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8610165Z graph_break [] 2025-12-04T12:21:59.8610387Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8611192Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8611296Z warnings.warn( 2025-12-04T12:21:59.8612149Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-150413967cb360e4.xml - 2025-12-04T12:21:59.8612323Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8613142Z FAILED [0.4846s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 - ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8613227Z 2025-12-04T12:21:59.8613486Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8614151Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8614156Z 2025-12-04T12:21:59.8614438Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8614618Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8614868Z ====== 1 failed, 196 passed, 77 deselected, 2 rerun in 190.22s (0:03:10) ======= 2025-12-04T12:21:59.8614965Z Got exit code 1 2025-12-04T12:21:59.8615071Z Retrying single test... 2025-12-04T12:21:59.8615656Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-886d50b9f46e9fd4.xml 2025-12-04T12:21:59.8615823Z ============================= test session starts ============================== 2025-12-04T12:21:59.8616177Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8616296Z cachedir: .pytest_cache 2025-12-04T12:21:59.8616814Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8616950Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8617054Z configfile: pytest.ini 2025-12-04T12:21:59.8617650Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8617887Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8618638Z stepcurrent: skipping 273 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8618770Z Running 1 items in this shard 2025-12-04T12:21:59.8618775Z 2025-12-04T12:21:59.8619403Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 ('RERUN', {'yellow': True}) [2.9107s] [100%] 2025-12-04T12:21:59.8620031Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.2792s] [100%] 2025-12-04T12:21:59.8620578Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 FAILED [0.2670s] [100%] 2025-12-04T12:21:59.8620584Z 2025-12-04T12:21:59.8620722Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8621039Z _ TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 _ 2025-12-04T12:21:59.8621160Z Traceback (most recent call last): 2025-12-04T12:21:59.8621628Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 326, in test_upcast_rank_0_cpu 2025-12-04T12:21:59.8621810Z result, (code,) = run_and_get_code(compiled, *inps) 2025-12-04T12:21:59.8622015Z ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8622020Z 2025-12-04T12:21:59.8622244Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8622905Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8622910Z 2025-12-04T12:21:59.8623225Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8623456Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8623567Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8623678Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8623809Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8624089Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8624198Z graph_break [] 2025-12-04T12:21:59.8624439Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8625174Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8625292Z warnings.warn( 2025-12-04T12:21:59.8625599Z _ TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 _ 2025-12-04T12:21:59.8625718Z Traceback (most recent call last): 2025-12-04T12:21:59.8626197Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 326, in test_upcast_rank_0_cpu 2025-12-04T12:21:59.8626361Z result, (code,) = run_and_get_code(compiled, *inps) 2025-12-04T12:21:59.8626583Z ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8626590Z 2025-12-04T12:21:59.8626805Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8627476Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8627481Z 2025-12-04T12:21:59.8627756Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8627971Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8628097Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8628212Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8628331Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8628564Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8628659Z graph_break [] 2025-12-04T12:21:59.8628868Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8629617Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8629719Z warnings.warn( 2025-12-04T12:21:59.8629947Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8630054Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8630166Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8630394Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8630514Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8630609Z graph_break [] 2025-12-04T12:21:59.8630833Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8631563Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8631662Z warnings.warn( 2025-12-04T12:21:59.8631816Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8632128Z _ TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 _ 2025-12-04T12:21:59.8632262Z Traceback (most recent call last): 2025-12-04T12:21:59.8632734Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 326, in test_upcast_rank_0_cpu 2025-12-04T12:21:59.8632895Z result, (code,) = run_and_get_code(compiled, *inps) 2025-12-04T12:21:59.8633112Z ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8633117Z 2025-12-04T12:21:59.8633367Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8634042Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8634048Z 2025-12-04T12:21:59.8634311Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8634554Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8634706Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8634849Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8634973Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8635205Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8635302Z graph_break [] 2025-12-04T12:21:59.8635528Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8636266Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8636368Z warnings.warn( 2025-12-04T12:21:59.8636595Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8636707Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8636821Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8637050Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8637174Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8637282Z graph_break [] 2025-12-04T12:21:59.8637499Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8638236Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8638352Z warnings.warn( 2025-12-04T12:21:59.8638567Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8638679Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8638805Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8639027Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8639148Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8639259Z graph_break [] 2025-12-04T12:21:59.8639474Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8640213Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8640315Z warnings.warn( 2025-12-04T12:21:59.8641066Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-886d50b9f46e9fd4.xml - 2025-12-04T12:21:59.8641245Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8642046Z FAILED [0.2670s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 - ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8642052Z 2025-12-04T12:21:59.8642279Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8642943Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8642952Z 2025-12-04T12:21:59.8643220Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8643407Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8643607Z ================== 1 failed, 275 deselected, 2 rerun in 5.15s ================== 2025-12-04T12:21:59.8643715Z Got exit code 1 2025-12-04T12:21:59.8643822Z Retrying single test... 2025-12-04T12:21:59.8644432Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-bd56f0413b59292a.xml 2025-12-04T12:21:59.8644604Z ============================= test session starts ============================== 2025-12-04T12:21:59.8644952Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8645092Z cachedir: .pytest_cache 2025-12-04T12:21:59.8645657Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8645885Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8646008Z configfile: pytest.ini 2025-12-04T12:21:59.8646600Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8646823Z collecting ... collected 571 items / 275 deselected / 296 selected 2025-12-04T12:21:59.8647595Z stepcurrent: skipping 273 already run items. Running only test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8647707Z Running 1 items in this shard 2025-12-04T12:21:59.8647713Z 2025-12-04T12:21:59.8648352Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 ('RERUN', {'yellow': True}) [2.8910s] [100%] 2025-12-04T12:21:59.8648986Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 ('RERUN', {'yellow': True}) [0.2703s] [100%] 2025-12-04T12:21:59.8649519Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 FAILED [0.2695s] [100%] 2025-12-04T12:21:59.8649537Z 2025-12-04T12:21:59.8649679Z ==================================== RERUNS ==================================== 2025-12-04T12:21:59.8649982Z _ TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 _ 2025-12-04T12:21:59.8650119Z Traceback (most recent call last): 2025-12-04T12:21:59.8650588Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 326, in test_upcast_rank_0_cpu 2025-12-04T12:21:59.8650755Z result, (code,) = run_and_get_code(compiled, *inps) 2025-12-04T12:21:59.8650972Z ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8650979Z 2025-12-04T12:21:59.8651292Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8651973Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8651978Z 2025-12-04T12:21:59.8652241Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8652460Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8652584Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8652699Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8652821Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8653053Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8653148Z graph_break [] 2025-12-04T12:21:59.8653377Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8654117Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8654220Z warnings.warn( 2025-12-04T12:21:59.8654540Z _ TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 _ 2025-12-04T12:21:59.8654663Z Traceback (most recent call last): 2025-12-04T12:21:59.8655128Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 326, in test_upcast_rank_0_cpu 2025-12-04T12:21:59.8655310Z result, (code,) = run_and_get_code(compiled, *inps) 2025-12-04T12:21:59.8655559Z ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8655564Z 2025-12-04T12:21:59.8655792Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8656454Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8656489Z 2025-12-04T12:21:59.8656785Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8657056Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8657168Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8657293Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8657413Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8657631Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8657740Z graph_break [] 2025-12-04T12:21:59.8657956Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8658695Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8658808Z warnings.warn( 2025-12-04T12:21:59.8659018Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8659141Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8659255Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8659475Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8659611Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8659707Z graph_break [] 2025-12-04T12:21:59.8659918Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8660662Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8660763Z warnings.warn( 2025-12-04T12:21:59.8660919Z =================================== FAILURES =================================== 2025-12-04T12:21:59.8661224Z _ TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 _ 2025-12-04T12:21:59.8661344Z Traceback (most recent call last): 2025-12-04T12:21:59.8661822Z File "/var/lib/jenkins/workspace/test/inductor/test_op_dtype_prop.py", line 326, in test_upcast_rank_0_cpu 2025-12-04T12:21:59.8661990Z result, (code,) = run_and_get_code(compiled, *inps) 2025-12-04T12:21:59.8662199Z ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8662204Z 2025-12-04T12:21:59.8662425Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8663086Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8663091Z 2025-12-04T12:21:59.8663370Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8663582Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8663693Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8663818Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8663939Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8664159Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8664269Z graph_break [] 2025-12-04T12:21:59.8664483Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8665226Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8665323Z warnings.warn( 2025-12-04T12:21:59.8665536Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8665654Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8665798Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8666016Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8666147Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8666245Z graph_break [] 2025-12-04T12:21:59.8666469Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8667226Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8667385Z warnings.warn( 2025-12-04T12:21:59.8667610Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T12:21:59.8667720Z frames [('total', 1), ('ok', 1)] 2025-12-04T12:21:59.8667833Z stats [('calls_captured', 1)] 2025-12-04T12:21:59.8668060Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('not_ok', 1)] 2025-12-04T12:21:59.8668179Z inductor [('fxgraph_cache_miss', 1)] 2025-12-04T12:21:59.8668289Z graph_break [] 2025-12-04T12:21:59.8668500Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:21:59.8669226Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:21:59.8669338Z warnings.warn( 2025-12-04T12:21:59.8670087Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-bd56f0413b59292a.xml - 2025-12-04T12:21:59.8670258Z =========================== short test summary info ============================ 2025-12-04T12:21:59.8671063Z FAILED [0.2695s] inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 - ValueError: not enough values to unpack (expected 1, got 0) 2025-12-04T12:21:59.8671069Z 2025-12-04T12:21:59.8671283Z To execute this test, run the following from the base repo dir: 2025-12-04T12:21:59.8671960Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/inductor/test_op_dtype_prop.py TestCaseCUDA.test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8671966Z 2025-12-04T12:21:59.8672232Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:21:59.8672420Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:21:59.8672617Z ================== 1 failed, 275 deselected, 2 rerun in 5.12s ================== 2025-12-04T12:21:59.8672718Z Got exit code 1 2025-12-04T12:21:59.8673310Z FAILED CONSISTENTLY: test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16 2025-12-04T12:21:59.8673720Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:21:59.8674299Z Test results will be stored in test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-fbcee26962b9187f.xml 2025-12-04T12:21:59.8674469Z ============================= test session starts ============================== 2025-12-04T12:21:59.8674820Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:21:59.8674938Z cachedir: .pytest_cache 2025-12-04T12:21:59.8675454Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:21:59.8675587Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:21:59.8675708Z configfile: pytest.ini 2025-12-04T12:21:59.8676299Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:21:59.8676524Z collecting ... collected 571 items / 274 deselected / 297 selected 2025-12-04T12:21:59.8676679Z stepcurrent: skipping 274 already run items. 2025-12-04T12:21:59.8676793Z Running 2 items in this shard 2025-12-04T12:21:59.8676839Z 2025-12-04T12:21:59.8677396Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_float16_cuda_float16 PASSED [3.3172s] [ 50%] 2025-12-04T12:21:59.8677922Z inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_True_float16_cuda_float16 PASSED [0.1690s] [100%] 2025-12-04T12:21:59.8677959Z 2025-12-04T12:21:59.8678756Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-fbcee26962b9187f.xml - 2025-12-04T12:21:59.8678965Z ====================== 2 passed, 274 deselected in 5.20s ======================= 2025-12-04T12:21:59.8700490Z The following tests failed consistently: ['test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_acos_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asin_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_asinh_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan2_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atan_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_atanh_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_ceil_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_copysign_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_cos_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_erf_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_exp2_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_expm1_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_floor_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_fmod_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_hypot_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_isinf_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_lgamma_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log10_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_log1p_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_nextafter_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_pow_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_round_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sigmoid_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_sqrt_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_tan_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_False_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_dtype_aware_codegen_op_name_trunc_load_upcast_to_fp32_True_bfloat16_cuda', 'test/inductor/test_op_dtype_prop.py::TestCaseCUDA::test_upcast_rank_0_cpu_upcast_to_fp32_False_bfloat16_cuda_bfloat16'] 2025-12-04T12:21:59.8700590Z 2025-12-04T12:21:59.8701170Z FINISHED PRINTING LOG FILE of inductor/test_op_dtype_prop 2/2 (test/test-reports/inductor.test_op_dtype_prop_2.2_3e40b5683d4cec18_.log) 2025-12-04T12:21:59.8701179Z 2025-12-04T12:21:59.8701537Z Finished inductor/test_op_dtype_prop 2/2 ... [2025-12-04 12:21:59.428494][10155.17802998], took 38.68min 2025-12-04T12:21:59.8702360Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-c8c470fd20490e96.xml 2025-12-04T12:21:59.8703178Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6fa8ec9d98386b13.xml 2025-12-04T12:21:59.8703980Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6a667cd8078ee9db.xml 2025-12-04T12:21:59.8704996Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-a9672f1c7cc7e1be.xml 2025-12-04T12:21:59.8705797Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-0c891033be6ab87c.xml 2025-12-04T12:21:59.8706613Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-011ac04d0aeae117.xml 2025-12-04T12:21:59.8707412Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-520d9aea328ae3e4.xml 2025-12-04T12:21:59.8708333Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-6513aef89c920bd9.xml 2025-12-04T12:21:59.8709656Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_op_dtype_prop/inductor.test_op_dtype_prop-de309e72bcc356d7.xml 2025-12-04T12:21:59.8710461Z Parsing testcases for test report: 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[2025-12-04 12:22:03.682179][10159.431721662] 2025-12-04T12:22:03.6824690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T12:22:03.6829253Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_custom_op_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 12:22:03.682635] 2025-12-04T12:22:31.3919985Z 2025-12-04T12:22:31.3921109Z inductor/test_custom_op_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_op_autotune_1.1_ab3a422394520a42_.log 2025-12-04T12:22:31.3925749Z Running 3 items in this shard: test/inductor/test_custom_op_autotune.py::TestCustomOpAutoTune::test_decompose_k_custom_op_autotune_dynamic_config_for_input_shape, test/inductor/test_custom_op_autotune.py::TestCustomOpAutoTune::test_multi_parameter_tuning, test/inductor/test_custom_op_autotune.py::TestCustomOpAutoTune::test_rmsnorm_custom_op_autotune_with_dynamic_shape 2025-12-04T12:22:31.3927742Z 2025-12-04T12:22:31.3928144Z Finished inductor/test_custom_op_autotune 1/1 ... [2025-12-04 12:22:31.391773][10187.141319155], took 0.46min 2025-12-04T12:22:31.4147799Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_custom_op_autotune/inductor.test_custom_op_autotune-10d312fe5884147d.xml 2025-12-04T12:22:31.5007237Z Running dynamo/test_decorators 1/1 ... [2025-12-04 12:22:31.500335][10187.249880587] 2025-12-04T12:22:31.5007886Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T12:22:31.5010790Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_decorators.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 12:22:31.500778] 2025-12-04T12:22:54.6482719Z 2025-12-04T12:22:54.6484141Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_36c65cfdbdd72b7f_.log 2025-12-04T12:22:54.6517076Z Running 73 items in this shard: test/dynamo/test_decorators.py::DecoratorTests::test_allow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_allow_in_graph_no_id_reuse, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_computation_with_graph_input, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_user_defined_fn, test/dynamo/test_decorators.py::DecoratorTests::test_class_methods, test/dynamo/test_decorators.py::DecoratorTests::test_disable_for_custom_op, test/dynamo/test_decorators.py::DecoratorTests::test_disable_ignores_outer_wraps, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_module_with_class_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_modules_forward_hook, test/dynamo/test_decorators.py::DecoratorTests::test_disable_optimize, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_false, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_false_weird, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_flags, test/dynamo/test_decorators.py::DecoratorTests::test_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_dont_skip_tracing, test/dynamo/test_decorators.py::DecoratorTests::test_dynamo_disable_annotations, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_empty_graph, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_error, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_export, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_fullgraph, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_nested, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_nested_deep, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_nested_with_skip, test/dynamo/test_decorators.py::DecoratorTests::test_error_on_graph_break_nonempty_checkpoint, test/dynamo/test_decorators.py::DecoratorTests::test_fail_on_recompile_shows_guard_details, test/dynamo/test_decorators.py::DecoratorTests::test_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_incorrect_usage_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_guarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_unguarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_nn_module, test/dynamo/test_decorators.py::DecoratorTests::test_nested_compile_error_on_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_nested_compile_fullgraph, test/dynamo/test_decorators.py::DecoratorTests::test_nested_disable_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_newly_constructed_trace_register_constant_type_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_captured_external_tensor, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_custom_class_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_custom_class_output_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function_kwarg, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_int_and_float_output, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_nested_custom_class, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_nested_custom_class_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_newly_constructed_custom_class_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_newly_constructed_dict_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_no_action_at_a_distance, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_object_in_context_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_on_method, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_custom_class, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_custom_class_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_dict, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_dict_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_register_constant_type_guard, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_tensor_args, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_tuple_and_sym_int_output, test/dynamo/test_decorators.py::DecoratorTests::test_patch_dynamo_config_errors, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_aot_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_forbid_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_eager, test/dynamo/test_decorators.py::DecoratorTests::test_skip_frame, test/dynamo/test_decorators.py::DecoratorTests::test_step_unsupported, test/dynamo/test_decorators.py::DecoratorTests::test_step_unsupported_empty_checkpoint, test/dynamo/test_decorators.py::DecoratorTests::test_substitute_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_disable, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_partially_disable 2025-12-04T12:22:54.6549025Z 2025-12-04T12:22:54.6549378Z Finished dynamo/test_decorators 1/1 ... [2025-12-04 12:22:54.648178][10210.397723418], took 0.39min 2025-12-04T12:22:54.6714474Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_decorators/dynamo.test_decorators-97ca60139ac6d32c.xml 2025-12-04T12:22:54.7538436Z Running test_privateuseone_python_backend 1/1 ... [2025-12-04 12:22:54.753611][10210.503157235] 2025-12-04T12:22:54.7539066Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T12:22:54.7542636Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_privateuseone_python_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 12:22:54.754016] 2025-12-04T12:22:59.8753858Z 2025-12-04T12:22:59.8755238Z test_privateuseone_python_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_privateuseone_python_backend_1.1_c2821f6fd111754e_.log 2025-12-04T12:22:59.8757158Z Running 2 items in this shard: test/test_privateuseone_python_backend.py::PrivateUse1BackendTest::test_accessing_is_pinned, test/test_privateuseone_python_backend.py::PrivateUse1BackendTest::test_backend_simple 2025-12-04T12:22:59.8758243Z 2025-12-04T12:22:59.8758653Z Finished test_privateuseone_python_backend 1/1 ... [2025-12-04 12:22:59.875173][10215.62471763], took 0.09min 2025-12-04T12:22:59.8982720Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_privateuseone_python_backend/test_privateuseone_python_backend-729f1cfbc5f28865.xml 2025-12-04T12:22:59.9307613Z Running test_varlen_attention 1/1 ... [2025-12-04 12:22:59.930573][10215.680118171] 2025-12-04T12:22:59.9308176Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T12:22:59.9311782Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_varlen_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 12:22:59.930945] 2025-12-04T12:23:06.8548177Z 2025-12-04T12:23:06.8549164Z test_varlen_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_varlen_attention_1.1_19ad7bcda8f0a124_.log 2025-12-04T12:23:06.8562848Z Running 22 items in this shard: test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_basic_functionality_bfloat16_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_basic_functionality_float16_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_bfloat16_is_causal_False_num_perms_1_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_bfloat16_is_causal_False_num_perms_3_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_bfloat16_is_causal_False_num_perms_5_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_bfloat16_is_causal_True_num_perms_1_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_bfloat16_is_causal_True_num_perms_3_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_bfloat16_is_causal_True_num_perms_5_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_float16_is_causal_False_num_perms_1_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_float16_is_causal_False_num_perms_3_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_float16_is_causal_False_num_perms_5_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_float16_is_causal_True_num_perms_1_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_float16_is_causal_True_num_perms_3_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_batch_invariance_float16_is_causal_True_num_perms_5_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_custom_op_compliance_bfloat16_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_custom_op_compliance_float16_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_custom_op_registration_bfloat16_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_custom_op_registration_float16_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_varlen_vs_sdpa_bfloat16_is_causal_False_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_varlen_vs_sdpa_bfloat16_is_causal_True_cuda_bfloat16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_varlen_vs_sdpa_float16_is_causal_False_cuda_float16, test/test_varlen_attention.py::TestVarlenAttentionCUDA::test_varlen_vs_sdpa_float16_is_causal_True_cuda_float16 2025-12-04T12:23:06.8576143Z 2025-12-04T12:23:06.8576708Z Finished test_varlen_attention 1/1 ... [2025-12-04 12:23:06.854643][10222.604187185], took 0.12min 2025-12-04T12:23:06.8774583Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_varlen_attention/test_varlen_attention-3c986ab28e41e441.xml 2025-12-04T12:23:06.9479394Z Running test_cuda 1/1 ... [2025-12-04 12:23:06.947713][10222.697257848] 2025-12-04T12:23:06.9480160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T12:23:06.9483272Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 12:23:06.948084] 2025-12-04T12:28:41.7259465Z 2025-12-04T12:28:41.7260220Z PRINTING LOG FILE of test_cuda 1/1 (test/test-reports/test_cuda_1.1_96232d7fba7a63bb_.log) 2025-12-04T12:28:41.7261306Z Test results will be stored in test-reports/python-pytest/test_cuda/test_cuda-5ed00e1947438b77.xml 2025-12-04T12:28:41.7262245Z ============================= test session starts ============================== 2025-12-04T12:28:41.7263074Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:28:41.7263707Z cachedir: .pytest_cache 2025-12-04T12:28:41.7264465Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:28:41.7265286Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:28:41.7265654Z configfile: pytest.ini 2025-12-04T12:28:41.7266421Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:28:41.7267279Z collecting ... collected 252 items 2025-12-04T12:28:41.7267693Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T12:28:41.7352001Z Running 252 items in this shard: test/test_cuda.py::TestCuda::test_arithmetic_large_tensor, test/test_cuda.py::TestCuda::test_batch_norm_gather_stats, test/test_cuda.py::TestCuda::test_bincount_ext, test/test_cuda.py::TestCuda::test_caching_allocator_record_stream_oom, test/test_cuda.py::TestCuda::test_caching_pinned_memory, test/test_cuda.py::TestCuda::test_check_error, test/test_cuda.py::TestCuda::test_copy_non_blocking, test/test_cuda.py::TestCuda::test_copy_non_blocking_type_conversion, test/test_cuda.py::TestCuda::test_cublas_allow_bf16_reduced_precision_reduction_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_fp16_accumulation_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_fp16_reduced_precision_reduction_get_set, test/test_cuda.py::TestCuda::test_cublas_allow_tf32_get_set, test/test_cuda.py::TestCuda::test_cublas_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_cublas_workspace_explicit_allocation, test/test_cuda.py::TestCuda::test_cuda_get_device_capability, test/test_cuda.py::TestCuda::test_cuda_get_device_name, test/test_cuda.py::TestCuda::test_cuda_get_device_properties, test/test_cuda.py::TestCuda::test_cuda_graph_allocator_propagates_stream, test/test_cuda.py::TestCuda::test_cuda_graph_error_options, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_False, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_True, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_keep_graph_false, test/test_cuda.py::TestCuda::test_cuda_graph_raw_graph_reset_and_recapture, test/test_cuda.py::TestCuda::test_cuda_graph_tensor_item_not_allowed, test/test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow, test/test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow_large, test/test_cuda.py::TestCuda::test_cuda_memory_leak_detection_propagates_errors, test/test_cuda.py::TestCuda::test_cuda_stream_protocol, test/test_cuda.py::TestCuda::test_cudart_register, test/test_cuda.py::TestCuda::test_cudnn_allow_tf32_get_set, test/test_cuda.py::TestCuda::test_cudnn_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_cusparse_multiple_threads_same_device, test/test_cuda.py::TestCuda::test_device_context_manager, test/test_cuda.py::TestCuda::test_device_count_not_cached_pre_init, test/test_cuda.py::TestCuda::test_events, test/test_cuda.py::TestCuda::test_events_elapsedtime, test/test_cuda.py::TestCuda::test_fixed_cuda_assert_async, test/test_cuda.py::TestCuda::test_float32_matmul_precision_get_set, test/test_cuda.py::TestCuda::test_fp32_precision_with_float32_matmul_precision, test/test_cuda.py::TestCuda::test_fp32_precision_with_tf32, test/test_cuda.py::TestCuda::test_gather_bool, test/test_cuda.py::TestCuda::test_gds_fails_in_ci, test/test_cuda.py::TestCuda::test_generic_stream_event, test/test_cuda.py::TestCuda::test_get_device_index, test/test_cuda.py::TestCuda::test_get_per_process_memory_fraction, test/test_cuda.py::TestCuda::test_graph_capture_oom, test/test_cuda.py::TestCuda::test_graph_capture_reset_recapture, test/test_cuda.py::TestCuda::test_graph_capture_simple, test/test_cuda.py::TestCuda::test_graph_checkpoint_preserve_rng_state, test/test_cuda.py::TestCuda::test_graph_concurrent_replay, test/test_cuda.py::TestCuda::test_graph_cudnn_dropout, test/test_cuda.py::TestCuda::test_graph_debugdump, test/test_cuda.py::TestCuda::test_graph_error, test/test_cuda.py::TestCuda::test_graph_is_current_stream_capturing, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_disabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_enabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_not_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_same_pool, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_enabled_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_make_graphed_callables_without_amp_not_allow_unused_input, test/test_cuda.py::TestCuda::test_graph_manual_seed_mismatch_raises, test/test_cuda.py::TestCuda::test_graph_memory_stats_and_use_result_after_destroy_graph, test/test_cuda.py::TestCuda::test_graph_optims_with_explicitly_capturable_param_groups, test/test_cuda.py::TestCuda::test_graph_record_stream, test/test_cuda.py::TestCuda::test_graph_rng_distributions, test/test_cuda.py::TestCuda::test_graph_rng_functional, test/test_cuda.py::TestCuda::test_graph_three_successive, test/test_cuda.py::TestCuda::test_graph_timing, test/test_cuda.py::TestCuda::test_graph_two_successive, test/test_cuda.py::TestCuda::test_graph_warn_if_has_zero_nodes, test/test_cuda.py::TestCuda::test_graphsafe_set_get_rng_state, test/test_cuda.py::TestCuda::test_hip_device_count, test/test_cuda.py::TestCuda::test_host_memory_stats, test/test_cuda.py::TestCuda::test_huge_index, test/test_cuda.py::TestCuda::test_index_out_of_bounds_exception_cuda, test/test_cuda.py::TestCuda::test_invalid_status_for_legacy_api, test/test_cuda.py::TestCuda::test_is_pinned_no_context, test/test_cuda.py::TestCuda::test_lazy_init, test/test_cuda.py::TestCuda::test_manual_seed, test/test_cuda.py::TestCuda::test_matmul_device_mismatch, test/test_cuda.py::TestCuda::test_matmul_memory_use, test/test_cuda.py::TestCuda::test_max_large_axis, test/test_cuda.py::TestCuda::test_mean_fp16, test/test_cuda.py::TestCuda::test_memory_allocation, test/test_cuda.py::TestCuda::test_memory_stats, test/test_cuda.py::TestCuda::test_memory_stats_of_multiple_generators_and_graphs, test/test_cuda.py::TestCuda::test_min_max_inits, test/test_cuda.py::TestCuda::test_multi_device_context_manager, test/test_cuda.py::TestCuda::test_multi_device_stream_context_manager, test/test_cuda.py::TestCuda::test_multinomial_ext, test/test_cuda.py::TestCuda::test_multinomial_invalid_probs_cuda, test/test_cuda.py::TestCuda::test_noncontiguous_pinned_memory, test/test_cuda.py::TestCuda::test_norm_type_conversion, test/test_cuda.py::TestCuda::test_nvtx, test/test_cuda.py::TestCuda::test_out_of_memory, test/test_cuda.py::TestCuda::test_out_of_memory_retry, test/test_cuda.py::TestCuda::test_pinned_memory_empty_cache, test/test_cuda.py::TestCuda::test_pinned_memory_use_background_threads, test/test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister, test/test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister_multithread, test/test_cuda.py::TestCuda::test_preferred_blas_library_settings, test/test_cuda.py::TestCuda::test_prod_large, test/test_cuda.py::TestCuda::test_randint_generation_for_large_numel, test/test_cuda.py::TestCuda::test_randint_randomness_for_large_range, test/test_cuda.py::TestCuda::test_random_no_reused_random_states_float32, test/test_cuda.py::TestCuda::test_random_no_reused_random_states_float64, test/test_cuda.py::TestCuda::test_record_stream, test/test_cuda.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda.py::TestCuda::test_reduction_gpu_memory_accessing, test/test_cuda.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda.py::TestCuda::test_rocm_backward_pass_guard, test/test_cuda.py::TestCuda::test_serialization_array_with_empty, test/test_cuda.py::TestCuda::test_serialization_array_with_storage, test/test_cuda.py::TestCuda::test_set_per_process_memory_fraction, test/test_cuda.py::TestCuda::test_specify_improper_device_name, test/test_cuda.py::TestCuda::test_stream_compatibility, test/test_cuda.py::TestCuda::test_stream_context_manager, test/test_cuda.py::TestCuda::test_stream_event_repr, test/test_cuda.py::TestCuda::test_streaming_backwards_callback, test/test_cuda.py::TestCuda::test_streaming_backwards_multiple_streams, test/test_cuda.py::TestCuda::test_streaming_backwards_sync, test/test_cuda.py::TestCuda::test_streaming_backwards_sync_graph_root, test/test_cuda.py::TestCuda::test_streams, test/test_cuda.py::TestCuda::test_sum_fp16, test/test_cuda.py::TestCuda::test_tiny_half_norm_, test/test_cuda.py::TestCuda::test_to_cpu_blocking_by_default, test/test_cuda.py::TestCuda::test_to_non_blocking, test/test_cuda.py::TestCuda::test_to_numpy, test/test_cuda.py::TestCuda::test_torch_manual_seed_seeds_cuda_devices, test/test_cuda.py::TestCuda::test_type_conversions, test/test_cuda.py::TestCuda::test_uuid, test/test_cuda.py::TestCudaMallocAsync::test_allocator_backend, test/test_cuda.py::TestCudaMallocAsync::test_allocator_fuzz, test/test_cuda.py::TestCudaMallocAsync::test_allocator_memory_fraction_setting, test/test_cuda.py::TestCudaMallocAsync::test_allocator_settings, test/test_cuda.py::TestCudaMallocAsync::test_cachingAllocator_raw_alloc, test/test_cuda.py::TestCudaMallocAsync::test_clock_speed, test/test_cuda.py::TestCudaMallocAsync::test_cpp_memory_snapshot_pickle, test/test_cuda.py::TestCudaMallocAsync::test_cycles, test/test_cuda.py::TestCudaMallocAsync::test_device_memory_used, test/test_cuda.py::TestCudaMallocAsync::test_direct_traceback, test/test_cuda.py::TestCudaMallocAsync::test_garbage_collect_expandable, test/test_cuda.py::TestCudaMallocAsync::test_max_split_expandable, test/test_cuda.py::TestCudaMallocAsync::test_memory_compile_regions, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_segment_stack, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_stack, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_history_context, test/test_cuda.py::TestCudaMallocAsync::test_memory_plots_metadata, test/test_cuda.py::TestCudaMallocAsync::test_memory_profiler_viz, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_script, test/test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda.py::TestCudaMallocAsync::test_notifies_oom, test/test_cuda.py::TestCudaMallocAsync::test_nvml_get_handler, test/test_cuda.py::TestCudaMallocAsync::test_power_draw, test/test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_False, test/test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_True, test/test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_count, test/test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_uuids, test/test_cuda.py::TestCudaMallocAsync::test_temperature, test/test_cuda.py::TestCudaMallocAsync::test_uuid_visible_devices, test/test_cuda.py::TestBlockStateAbsorption::test_additional_free_following_checkpoint, test/test_cuda.py::TestBlockStateAbsorption::test_allocate_in_thread_to_pool, test/test_cuda.py::TestBlockStateAbsorption::test_allocated_in_middle_of_segment, test/test_cuda.py::TestBlockStateAbsorption::test_assigning_back_deleter_fns_to_tensor, test/test_cuda.py::TestBlockStateAbsorption::test_check_pool_live_allocations, test/test_cuda.py::TestBlockStateAbsorption::test_middle_allocations_contiguous, test/test_cuda.py::TestBlockStateAbsorption::test_multiple_middle_allocations, test/test_cuda.py::TestBlockStateAbsorption::test_no_triton_on_import, test/test_cuda.py::TestBlockStateAbsorption::test_resnet, test/test_cuda.py::TestBlockStateAbsorption::test_simple, test/test_cuda.py::TestBlockStateAbsorption::test_tensor_dies_after_checkpoint, test/test_cuda.py::TestMemPool::test_graph_capture_reclaim_2_streams, test/test_cuda.py::TestMemPool::test_graph_capture_reclaim_4_streams, test/test_cuda.py::TestMemPool::test_mempool_ctx_multithread, test/test_cuda.py::TestMemPool::test_mempool_empty_cache, test/test_cuda.py::TestMemPool::test_mempool_empty_cache_inactive, test/test_cuda.py::TestMemPool::test_mempool_emptycache_multithread, test/test_cuda.py::TestMemPool::test_mempool_expandable, test/test_cuda.py::TestMemPool::test_mempool_id, test/test_cuda.py::TestMemPool::test_mempool_limited_memory_with_allocator, test/test_cuda.py::TestMemPool::test_mempool_multithread, test/test_cuda.py::TestMemPool::test_mempool_with_allocator, test/test_cuda.py::TestMemPool::test_nested_mempool, test/test_cuda.py::TestGDS::test_gds_read_write_tensors, test/test_cuda.py::TestCudaAutocast::test_autocast_banned, test/test_cuda.py::TestCudaAutocast::test_autocast_cache_leak, test/test_cuda.py::TestCudaAutocast::test_autocast_cat_jit, test/test_cuda.py::TestCudaAutocast::test_autocast_checkpointing, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_cast_inputs, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_deprecated_warning, test/test_cuda.py::TestCudaAutocast::test_autocast_custom_enabled, test/test_cuda.py::TestCudaAutocast::test_autocast_ignored_types, test/test_cuda.py::TestCudaAutocast::test_autocast_linalg_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_expect_builtin_promote, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_methods_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_bf16, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_nn_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_rnn, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_bf16, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_expect_builtin_promote, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_fp16, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_fp32, test/test_cuda.py::TestCudaAutocast::test_autocast_torch_need_autocast_promote, test/test_cuda.py::TestCudaAutocast::test_cuda_autocast_deprecated_warning, test/test_cuda.py::TestCompileKernel::test_compile_kernel, test/test_cuda.py::TestCompileKernel::test_compile_kernel_advanced, test/test_cuda.py::TestCompileKernel::test_compile_kernel_as_custom_op, test/test_cuda.py::TestCompileKernel::test_compile_kernel_cuda_headers, test/test_cuda.py::TestCompileKernel::test_compile_kernel_custom_op_validation, test/test_cuda.py::TestCompileKernel::test_compile_kernel_dlpack, test/test_cuda.py::TestCompileKernel::test_compile_kernel_double_precision, test/test_cuda.py::TestCompileKernel::test_compile_kernel_large_shared_memory, test/test_cuda.py::TestCompileKernel::test_compile_kernel_template, test/test_cuda.py::TestFXMemoryProfiler::test_fx_memory_profiler_augmentation, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_AdamW_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_Adam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_SGD_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_AdamW_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_Adam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_SGD_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaling_autocast_fused_optimizers_Adagrad_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaling_autocast_fused_optimizers_AdamW_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaling_autocast_fused_optimizers_Adam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_grad_scaling_autocast_fused_optimizers_SGD_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_False_AdamW_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_False_Adam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_False_SGD_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_True_AdamW_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_True_Adam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_True_SGD_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_True_fused_False_AdamW_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_True_fused_False_Adam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_True_fused_False_SGD_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_ASGD_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_Adadelta_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_AdamW_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_Adam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_Adamax_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_NAdam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_RAdam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_RMSprop_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_Rprop_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_scaling_fused_optimizers_AdamW_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_scaling_fused_optimizers_Adam_cuda_float32, test/test_cuda.py::TestCudaOptimsCUDA::test_graph_scaling_fused_optimizers_SGD_cuda_float32, test/test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7434648Z 2025-12-04T12:28:41.7435266Z test_cuda.py::TestCuda::test_arithmetic_large_tensor SKIPPED [0.0003s] (was disabled due to not enough memory, but actually it always fail) [ 0%] 2025-12-04T12:28:41.7436271Z test_cuda.py::TestCuda::test_batch_norm_gather_stats PASSED [0.0092s] [ 0%] 2025-12-04T12:28:41.7436950Z test_cuda.py::TestCuda::test_bincount_ext PASSED [0.0095s] [ 1%] 2025-12-04T12:28:41.7437684Z test_cuda.py::TestCuda::test_caching_allocator_record_stream_oom PASSED [0.3319s] [ 1%] 2025-12-04T12:28:41.7438588Z test_cuda.py::TestCuda::test_caching_pinned_memory PASSED [1.0007s] [ 1%] 2025-12-04T12:28:41.7439265Z test_cuda.py::TestCuda::test_check_error PASSED [0.0021s] [ 2%] 2025-12-04T12:28:41.7440025Z test_cuda.py::TestCuda::test_copy_non_blocking PASSED [0.0632s] [ 2%] 2025-12-04T12:28:41.7440744Z test_cuda.py::TestCuda::test_copy_non_blocking_type_conversion PASSED [0.1015s] [ 3%] 2025-12-04T12:28:41.7441600Z test_cuda.py::TestCuda::test_cublas_allow_bf16_reduced_precision_reduction_get_set PASSED [0.0026s] [ 3%] 2025-12-04T12:28:41.7442477Z test_cuda.py::TestCuda::test_cublas_allow_fp16_accumulation_get_set PASSED [0.0020s] [ 3%] 2025-12-04T12:28:41.7443429Z test_cuda.py::TestCuda::test_cublas_allow_fp16_reduced_precision_reduction_get_set PASSED [0.0018s] [ 4%] 2025-12-04T12:28:41.7444292Z test_cuda.py::TestCuda::test_cublas_allow_tf32_get_set PASSED [0.0016s] [ 4%] 2025-12-04T12:28:41.7445014Z test_cuda.py::TestCuda::test_cublas_multiple_threads_same_device PASSED [1.1308s] [ 5%] 2025-12-04T12:28:41.7445796Z test_cuda.py::TestCuda::test_cublas_workspace_explicit_allocation PASSED [0.0043s] [ 5%] 2025-12-04T12:28:41.7446520Z test_cuda.py::TestCuda::test_cuda_get_device_capability PASSED [0.0019s] [ 5%] 2025-12-04T12:28:41.7447208Z test_cuda.py::TestCuda::test_cuda_get_device_name PASSED [0.0019s] [ 6%] 2025-12-04T12:28:41.7447886Z test_cuda.py::TestCuda::test_cuda_get_device_properties PASSED [0.0019s] [ 6%] 2025-12-04T12:28:41.7448617Z test_cuda.py::TestCuda::test_cuda_graph_allocator_propagates_stream PASSED [0.0038s] [ 7%] 2025-12-04T12:28:41.7449368Z test_cuda.py::TestCuda::test_cuda_graph_error_options PASSED [0.0177s] [ 7%] 2025-12-04T12:28:41.7450045Z test_cuda.py::TestCuda::test_cuda_graph_raw_graph PASSED [0.0547s] [ 7%] 2025-12-04T12:28:41.7450798Z test_cuda.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_False PASSED [0.0028s] [ 8%] 2025-12-04T12:28:41.7451703Z test_cuda.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_True PASSED [0.0029s] [ 8%] 2025-12-04T12:28:41.7452509Z test_cuda.py::TestCuda::test_cuda_graph_raw_graph_keep_graph_false PASSED [0.0029s] [ 9%] 2025-12-04T12:28:41.7453316Z test_cuda.py::TestCuda::test_cuda_graph_raw_graph_reset_and_recapture PASSED [0.0032s] [ 9%] 2025-12-04T12:28:41.7454156Z test_cuda.py::TestCuda::test_cuda_graph_tensor_item_not_allowed Traceback (most recent call last): 2025-12-04T12:28:41.7454773Z File "", line 17, in 2025-12-04T12:28:41.7455139Z File "", line 7, in my_func 2025-12-04T12:28:41.7455712Z torch.AcceleratorError: CUDA error: operation not permitted when stream is capturing 2025-12-04T12:28:41.7456864Z Search for `cudaErrorStreamCaptureUnsupported' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T12:28:41.7458161Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T12:28:41.7458969Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T12:28:41.7459524Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T12:28:41.7459894Z 2025-12-04T12:28:41.7459901Z 2025-12-04T12:28:41.7460144Z During handling of the above exception, another exception occurred: 2025-12-04T12:28:41.7460532Z 2025-12-04T12:28:41.7460658Z Traceback (most recent call last): 2025-12-04T12:28:41.7461015Z File "", line 16, in 2025-12-04T12:28:41.7461685Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/graphs.py", line 267, in __exit__ 2025-12-04T12:28:41.7462356Z self.cuda_graph.capture_end() 2025-12-04T12:28:41.7463025Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/graphs.py", line 129, in capture_end 2025-12-04T12:28:41.7463719Z super().capture_end() 2025-12-04T12:28:41.7464272Z torch.AcceleratorError: CUDA error: operation failed due to a previous error during capture 2025-12-04T12:28:41.7465443Z Search for `cudaErrorStreamCaptureInvalidated' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T12:28:41.7466717Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T12:28:41.7467582Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T12:28:41.7468128Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T12:28:41.7468509Z 2025-12-04T12:28:41.7468616Z PASSED [4.8075s] [ 9%] 2025-12-04T12:28:41.7469079Z test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow PASSED [0.1353s] [ 10%] 2025-12-04T12:28:41.7469823Z test_cuda.py::TestCuda::test_cuda_kernel_loop_overflow_large PASSED [0.2282s] [ 10%] 2025-12-04T12:28:41.7470762Z test_cuda.py::TestCuda::test_cuda_memory_leak_detection_propagates_errors PASSED [0.0030s] [ 11%] 2025-12-04T12:28:41.7471541Z test_cuda.py::TestCuda::test_cuda_stream_protocol PASSED [0.0019s] [ 11%] 2025-12-04T12:28:41.7472225Z test_cuda.py::TestCuda::test_cudart_register PASSED [0.0023s] [ 11%] 2025-12-04T12:28:41.7472882Z test_cuda.py::TestCuda::test_cudnn_allow_tf32_get_set PASSED [0.0016s] [ 12%] 2025-12-04T12:28:41.7473598Z test_cuda.py::TestCuda::test_cudnn_multiple_threads_same_device PASSED [3.2963s] [ 12%] 2025-12-04T12:28:41.7474394Z test_cuda.py::TestCuda::test_cusparse_multiple_threads_same_device PASSED [138.0705s] [ 13%] 2025-12-04T12:28:41.7475143Z test_cuda.py::TestCuda::test_device_context_manager PASSED [0.0020s] [ 13%] 2025-12-04T12:28:41.7475966Z test_cuda.py::TestCuda::test_device_count_not_cached_pre_init SKIPPED [0.0002s] (requires multiple devices) [ 13%] 2025-12-04T12:28:41.7476803Z test_cuda.py::TestCuda::test_events PASSED [0.0519s] [ 14%] 2025-12-04T12:28:41.7477471Z test_cuda.py::TestCuda::test_events_elapsedtime PASSED [0.0020s] [ 14%] 2025-12-04T12:28:41.7478849Z test_cuda.py::TestCuda::test_fixed_cuda_assert_async /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/TensorCompare.cu:109: _assert_async_cuda_kernel: block: [0,0,0], thread: [0,0,0] Assertion `` failed. 2025-12-04T12:28:41.7480084Z Traceback (most recent call last): 2025-12-04T12:28:41.7480442Z File "", line 4, in 2025-12-04T12:28:41.7481148Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1108, in synchronize 2025-12-04T12:28:41.7481855Z return torch._C._cuda_synchronize() 2025-12-04T12:28:41.7482353Z torch.AcceleratorError: CUDA error: device-side assert triggered 2025-12-04T12:28:41.7483274Z Search for `cudaErrorAssert' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T12:28:41.7484437Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T12:28:41.7485234Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T12:28:41.7485792Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T12:28:41.7486161Z 2025-12-04T12:28:41.7486917Z /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/TensorCompare.cu:109: _assert_async_cuda_kernel: block: [0,0,0], thread: [0,0,0] Assertion `` failed. 2025-12-04T12:28:41.7487928Z Traceback (most recent call last): 2025-12-04T12:28:41.7488276Z File "", line 4, in 2025-12-04T12:28:41.7488968Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1108, in synchronize 2025-12-04T12:28:41.7489681Z return torch._C._cuda_synchronize() 2025-12-04T12:28:41.7490163Z torch.AcceleratorError: CUDA error: device-side assert triggered 2025-12-04T12:28:41.7491175Z Search for `cudaErrorAssert' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T12:28:41.7492341Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T12:28:41.7493146Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T12:28:41.7493688Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T12:28:41.7494070Z 2025-12-04T12:28:41.7494860Z /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/TensorCompare.cu:109: _assert_async_cuda_kernel: block: [0,0,0], thread: [0,0,0] Assertion `` failed. 2025-12-04T12:28:41.7495867Z Traceback (most recent call last): 2025-12-04T12:28:41.7507543Z File "", line 4, in 2025-12-04T12:28:41.7508758Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1108, in synchronize 2025-12-04T12:28:41.7509482Z return torch._C._cuda_synchronize() 2025-12-04T12:28:41.7510191Z torch.AcceleratorError: CUDA error: device-side assert triggered 2025-12-04T12:28:41.7511183Z Search for `cudaErrorAssert' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T12:28:41.7512326Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T12:28:41.7513129Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T12:28:41.7513678Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T12:28:41.7514046Z 2025-12-04T12:28:41.7514814Z /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/TensorCompare.cu:113: _assert_async_cuda_kernel: block: [0,0,0], thread: [0,0,0] Assertion `` failed. 2025-12-04T12:28:41.7515806Z Traceback (most recent call last): 2025-12-04T12:28:41.7516162Z File "", line 4, in 2025-12-04T12:28:41.7516860Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1108, in synchronize 2025-12-04T12:28:41.7517570Z return torch._C._cuda_synchronize() 2025-12-04T12:28:41.7518068Z torch.AcceleratorError: CUDA error: device-side assert triggered 2025-12-04T12:28:41.7518986Z Search for `cudaErrorAssert' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T12:28:41.7520134Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T12:28:41.7520924Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T12:28:41.7521477Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T12:28:41.7521845Z 2025-12-04T12:28:41.7521972Z PASSED [19.3835s] [ 15%] 2025-12-04T12:28:41.7522479Z test_cuda.py::TestCuda::test_float32_matmul_precision_get_set PASSED [0.0026s] [ 15%] 2025-12-04T12:28:41.7523294Z test_cuda.py::TestCuda::test_fp32_precision_with_float32_matmul_precision PASSED [0.0019s] [ 15%] 2025-12-04T12:28:41.7524073Z test_cuda.py::TestCuda::test_fp32_precision_with_tf32 PASSED [0.0019s] [ 16%] 2025-12-04T12:28:41.7524752Z test_cuda.py::TestCuda::test_gather_bool PASSED [0.0030s] [ 16%] 2025-12-04T12:28:41.7525402Z test_cuda.py::TestCuda::test_gds_fails_in_ci PASSED [0.3857s] [ 17%] 2025-12-04T12:28:41.7526071Z test_cuda.py::TestCuda::test_generic_stream_event PASSED [0.0036s] [ 17%] 2025-12-04T12:28:41.7526742Z test_cuda.py::TestCuda::test_get_device_index PASSED [0.0024s] [ 17%] 2025-12-04T12:28:41.7527446Z test_cuda.py::TestCuda::test_get_per_process_memory_fraction PASSED [0.0019s] [ 18%] 2025-12-04T12:28:41.7528136Z test_cuda.py::TestCuda::test_graph_capture_oom PASSED [0.4720s] [ 18%] 2025-12-04T12:28:41.7528836Z test_cuda.py::TestCuda::test_graph_capture_reset_recapture PASSED [0.0038s] [ 19%] 2025-12-04T12:28:41.7529545Z test_cuda.py::TestCuda::test_graph_capture_simple PASSED [0.0028s] [ 19%] 2025-12-04T12:28:41.7530263Z test_cuda.py::TestCuda::test_graph_checkpoint_preserve_rng_state PASSED [0.0052s] [ 19%] 2025-12-04T12:28:41.7530999Z test_cuda.py::TestCuda::test_graph_concurrent_replay PASSED [0.0188s] [ 20%] 2025-12-04T12:28:41.7531783Z test_cuda.py::TestCuda::test_graph_cudnn_dropout PASSED [0.7590s] [ 20%] 2025-12-04T12:28:41.7532458Z test_cuda.py::TestCuda::test_graph_debugdump PASSED [0.1867s] [ 21%] 2025-12-04T12:28:41.7533111Z test_cuda.py::TestCuda::test_graph_error PASSED [4.9952s] [ 21%] 2025-12-04T12:28:41.7533827Z test_cuda.py::TestCuda::test_graph_is_current_stream_capturing PASSED [0.1718s] [ 21%] 2025-12-04T12:28:41.7534994Z test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_disabled_allow_unused_input PASSED [0.3708s] [ 22%] 2025-12-04T12:28:41.7536392Z test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_enabled_allow_unused_input XFAIL [0.1986s] [ 22%] 2025-12-04T12:28:41.7537746Z test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_allow_unused_input PASSED [0.3733s] [ 23%] 2025-12-04T12:28:41.7539127Z test_cuda.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_not_allow_unused_input PASSED [0.3753s] [ 23%] 2025-12-04T12:28:41.7540473Z test_cuda.py::TestCuda::test_graph_make_graphed_callables_same_pool SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 23%] 2025-12-04T12:28:41.7541684Z test_cuda.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_enabled_allow_unused_input XFAIL [0.4511s] [ 24%] 2025-12-04T12:28:41.7542729Z test_cuda.py::TestCuda::test_graph_make_graphed_callables_without_amp_not_allow_unused_input XFAIL [0.4341s] [ 24%] 2025-12-04T12:28:41.7543618Z test_cuda.py::TestCuda::test_graph_manual_seed_mismatch_raises PASSED [0.1845s] [ 25%] 2025-12-04T12:28:41.7544461Z test_cuda.py::TestCuda::test_graph_memory_stats_and_use_result_after_destroy_graph PASSED [2.0371s] [ 25%] 2025-12-04T12:28:41.7545408Z test_cuda.py::TestCuda::test_graph_optims_with_explicitly_capturable_param_groups PASSED [0.2748s] [ 25%] 2025-12-04T12:28:41.7546209Z test_cuda.py::TestCuda::test_graph_record_stream PASSED [0.2561s] [ 26%] 2025-12-04T12:28:41.7546894Z test_cuda.py::TestCuda::test_graph_rng_distributions PASSED [0.2212s] [ 26%] 2025-12-04T12:28:41.7547577Z test_cuda.py::TestCuda::test_graph_rng_functional PASSED [0.1802s] [ 26%] 2025-12-04T12:28:41.7548240Z test_cuda.py::TestCuda::test_graph_three_successive PASSED [0.1743s] [ 27%] 2025-12-04T12:28:41.7548910Z test_cuda.py::TestCuda::test_graph_timing PASSED [0.1697s] [ 27%] 2025-12-04T12:28:41.7549575Z test_cuda.py::TestCuda::test_graph_two_successive PASSED [0.1792s] [ 28%] 2025-12-04T12:28:41.7550265Z test_cuda.py::TestCuda::test_graph_warn_if_has_zero_nodes PASSED [0.1708s] [ 28%] 2025-12-04T12:28:41.7550954Z test_cuda.py::TestCuda::test_graphsafe_set_get_rng_state PASSED [0.1723s] [ 28%] 2025-12-04T12:28:41.7551751Z test_cuda.py::TestCuda::test_hip_device_count SKIPPED [0.0003s] (not relevant for CUDA testing) [ 29%] 2025-12-04T12:28:41.7553902Z test_cuda.py::TestCuda::test_host_memory_stats SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/148607 for platform(s) linux, rocm, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 29%] 2025-12-04T12:28:41.7556139Z test_cuda.py::TestCuda::test_huge_index SKIPPED [0.1682s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 30%] 2025-12-04T12:28:41.7557327Z test_cuda.py::TestCuda::test_index_out_of_bounds_exception_cuda SKIPPED [0.1682s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 30%] 2025-12-04T12:28:41.7559690Z test_cuda.py::TestCuda::test_invalid_status_for_legacy_api SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157110 for platform(s) linux, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 30%] 2025-12-04T12:28:41.7561737Z test_cuda.py::TestCuda::test_is_pinned_no_context PASSED [5.0211s] [ 31%] 2025-12-04T12:28:41.7562417Z test_cuda.py::TestCuda::test_lazy_init PASSED [3.7286s] [ 31%] 2025-12-04T12:28:41.7563082Z test_cuda.py::TestCuda::test_manual_seed PASSED [0.1726s] [ 32%] 2025-12-04T12:28:41.7563791Z test_cuda.py::TestCuda::test_matmul_device_mismatch PASSED [0.1702s] [ 32%] 2025-12-04T12:28:41.7564453Z test_cuda.py::TestCuda::test_matmul_memory_use PASSED [0.1712s] [ 32%] 2025-12-04T12:28:41.7565345Z test_cuda.py::TestCuda::test_max_large_axis SKIPPED [0.1688s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 33%] 2025-12-04T12:28:41.7566264Z test_cuda.py::TestCuda::test_mean_fp16 PASSED [0.1693s] [ 33%] 2025-12-04T12:28:41.7566951Z test_cuda.py::TestCuda::test_memory_allocation PASSED [0.3638s] [ 34%] 2025-12-04T12:28:41.7567649Z test_cuda.py::TestCuda::test_memory_stats PASSED [0.5479s] [ 34%] 2025-12-04T12:28:41.7568417Z test_cuda.py::TestCuda::test_memory_stats_of_multiple_generators_and_graphs PASSED [0.6797s] [ 34%] 2025-12-04T12:28:41.7569187Z test_cuda.py::TestCuda::test_min_max_inits PASSED [0.1700s] [ 35%] 2025-12-04T12:28:41.7569978Z test_cuda.py::TestCuda::test_multi_device_context_manager SKIPPED [0.0003s] (only one GPU detected) [ 35%] 2025-12-04T12:28:41.7570967Z test_cuda.py::TestCuda::test_multi_device_stream_context_manager SKIPPED [0.0002s] (only one GPU detected) [ 36%] 2025-12-04T12:28:41.7571952Z test_cuda.py::TestCuda::test_multinomial_ext PASSED [0.1580s] [ 36%] 2025-12-04T12:28:41.7572938Z test_cuda.py::TestCuda::test_multinomial_invalid_probs_cuda SKIPPED [0.1802s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 36%] 2025-12-04T12:28:41.7573932Z test_cuda.py::TestCuda::test_noncontiguous_pinned_memory PASSED [0.1716s] [ 37%] 2025-12-04T12:28:41.7574635Z test_cuda.py::TestCuda::test_norm_type_conversion PASSED [0.1563s] [ 37%] 2025-12-04T12:28:41.7575309Z test_cuda.py::TestCuda::test_nvtx PASSED [0.1571s] [ 38%] 2025-12-04T12:28:41.7575948Z test_cuda.py::TestCuda::test_out_of_memory PASSED [0.1508s] [ 38%] 2025-12-04T12:28:41.7576607Z test_cuda.py::TestCuda::test_out_of_memory_retry PASSED [0.1711s] [ 38%] 2025-12-04T12:28:41.7577280Z test_cuda.py::TestCuda::test_pinned_memory_empty_cache PASSED [0.1723s] [ 39%] 2025-12-04T12:28:41.7578016Z test_cuda.py::TestCuda::test_pinned_memory_use_background_threads PASSED [4.8332s] [ 39%] 2025-12-04T12:28:41.7578773Z test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister PASSED [0.1793s] [ 40%] 2025-12-04T12:28:41.7579577Z test_cuda.py::TestCuda::test_pinned_memory_with_cudaregister_multithread PASSED [0.2270s] [ 40%] 2025-12-04T12:28:41.7580385Z test_cuda.py::TestCuda::test_preferred_blas_library_settings PASSED [3.5326s] [ 40%] 2025-12-04T12:28:41.7581093Z test_cuda.py::TestCuda::test_prod_large PASSED [4.6978s] [ 41%] 2025-12-04T12:28:41.7581931Z test_cuda.py::TestCuda::test_randint_generation_for_large_numel SKIPPED [0.2996s] (Insufficient cuda memory) [ 41%] 2025-12-04T12:28:41.7582837Z test_cuda.py::TestCuda::test_randint_randomness_for_large_range PASSED [0.2203s] [ 42%] 2025-12-04T12:28:41.7583625Z test_cuda.py::TestCuda::test_random_no_reused_random_states_float32 PASSED [0.6377s] [ 42%] 2025-12-04T12:28:41.7584401Z test_cuda.py::TestCuda::test_random_no_reused_random_states_float64 PASSED [0.7289s] [ 42%] 2025-12-04T12:28:41.7585130Z test_cuda.py::TestCuda::test_record_stream PASSED [0.2980s] [ 43%] 2025-12-04T12:28:41.7585906Z test_cuda.py::TestCuda::test_record_stream_on_shifted_view ('RERUN', {'yellow': True}) [0.2790s] [ 43%] 2025-12-04T12:28:41.7586710Z test_cuda.py::TestCuda::test_record_stream_on_shifted_view PASSED [0.1438s] [ 43%] 2025-12-04T12:28:41.7587431Z test_cuda.py::TestCuda::test_reduction_gpu_memory_accessing PASSED [0.1379s] [ 44%] 2025-12-04T12:28:41.7588229Z test_cuda.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory PASSED [0.2111s] [ 44%] 2025-12-04T12:28:41.7589078Z test_cuda.py::TestCuda::test_rocm_backward_pass_guard SKIPPED [0.0003s] (ROCm-only test) [ 44%] 2025-12-04T12:28:41.7589869Z test_cuda.py::TestCuda::test_serialization_array_with_empty PASSED [0.1856s] [ 45%] 2025-12-04T12:28:41.7590657Z test_cuda.py::TestCuda::test_serialization_array_with_storage PASSED [0.1825s] [ 45%] 2025-12-04T12:28:41.7591406Z test_cuda.py::TestCuda::test_set_per_process_memory_fraction PASSED [0.1956s] [ 46%] 2025-12-04T12:28:41.7592128Z test_cuda.py::TestCuda::test_specify_improper_device_name PASSED [0.1810s] [ 46%] 2025-12-04T12:28:41.7592810Z test_cuda.py::TestCuda::test_stream_compatibility PASSED [0.1798s] [ 46%] 2025-12-04T12:28:41.7593555Z test_cuda.py::TestCuda::test_stream_context_manager PASSED [0.1793s] [ 47%] 2025-12-04T12:28:41.7594278Z test_cuda.py::TestCuda::test_stream_event_repr PASSED [0.1792s] [ 47%] 2025-12-04T12:28:41.7594976Z test_cuda.py::TestCuda::test_streaming_backwards_callback PASSED [0.1905s] [ 48%] 2025-12-04T12:28:41.7595718Z test_cuda.py::TestCuda::test_streaming_backwards_multiple_streams PASSED [0.2333s] [ 48%] 2025-12-04T12:28:41.7596470Z test_cuda.py::TestCuda::test_streaming_backwards_sync PASSED [0.1883s] [ 48%] 2025-12-04T12:28:41.7597214Z test_cuda.py::TestCuda::test_streaming_backwards_sync_graph_root PASSED [0.4348s] [ 49%] 2025-12-04T12:28:41.7597936Z test_cuda.py::TestCuda::test_streams PASSED [0.1802s] [ 49%] 2025-12-04T12:28:41.7598585Z test_cuda.py::TestCuda::test_sum_fp16 PASSED [0.2003s] [ 50%] 2025-12-04T12:28:41.7599239Z test_cuda.py::TestCuda::test_tiny_half_norm_ PASSED [0.1806s] [ 50%] 2025-12-04T12:28:41.7599909Z test_cuda.py::TestCuda::test_to_cpu_blocking_by_default PASSED [0.2842s] [ 50%] 2025-12-04T12:28:41.7600564Z test_cuda.py::TestCuda::test_to_non_blocking PASSED [0.6094s] [ 51%] 2025-12-04T12:28:41.7601224Z test_cuda.py::TestCuda::test_to_numpy PASSED [0.1794s] [ 51%] 2025-12-04T12:28:41.7601941Z test_cuda.py::TestCuda::test_torch_manual_seed_seeds_cuda_devices PASSED [0.1808s] [ 51%] 2025-12-04T12:28:41.7602667Z test_cuda.py::TestCuda::test_type_conversions PASSED [0.1804s] [ 52%] 2025-12-04T12:28:41.7603318Z test_cuda.py::TestCuda::test_uuid PASSED [0.1794s] [ 52%] 2025-12-04T12:28:41.7604016Z test_cuda.py::TestCudaMallocAsync::test_allocator_backend PASSED [3.2131s] [ 53%] 2025-12-04T12:28:41.7605028Z test_cuda.py::TestCudaMallocAsync::test_allocator_fuzz PASSED [1.5124s] [ 53%] 2025-12-04T12:28:41.7605908Z test_cuda.py::TestCudaMallocAsync::test_allocator_memory_fraction_setting PASSED [14.9210s] [ 53%] 2025-12-04T12:28:41.7606760Z test_cuda.py::TestCudaMallocAsync::test_allocator_settings PASSED [0.0082s] [ 54%] 2025-12-04T12:28:41.7607571Z test_cuda.py::TestCudaMallocAsync::test_cachingAllocator_raw_alloc PASSED [0.0093s] [ 54%] 2025-12-04T12:28:41.7608496Z test_cuda.py::TestCudaMallocAsync::test_clock_speed SKIPPED [0.0002s] (pynvml/amdsmi is not available) [ 55%] 2025-12-04T12:28:41.7609408Z test_cuda.py::TestCudaMallocAsync::test_cpp_memory_snapshot_pickle PASSED [18.6177s] [ 55%] 2025-12-04T12:28:41.7610598Z test_cuda.py::TestCudaMallocAsync::test_cycles W1204 12:27:29.238000 142216 site-packages/torch/utils/viz/_cycles.py:59] CUDA Memory changed during GC, 512 bytes freed. 2025-12-04T12:28:41.7611652Z PASSED [0.4240s] [ 55%] 2025-12-04T12:28:41.7612347Z test_cuda.py::TestCudaMallocAsync::test_device_memory_used SKIPPED [0.0003s] (pynvml/amdsmi is not available) [ 56%] 2025-12-04T12:28:41.7613247Z test_cuda.py::TestCudaMallocAsync::test_direct_traceback PASSED [0.0023s] [ 56%] 2025-12-04T12:28:41.7614041Z test_cuda.py::TestCudaMallocAsync::test_garbage_collect_expandable PASSED [0.0055s] [ 57%] 2025-12-04T12:28:41.7614850Z test_cuda.py::TestCudaMallocAsync::test_max_split_expandable PASSED [0.0119s] [ 57%] 2025-12-04T12:28:41.7615639Z test_cuda.py::TestCudaMallocAsync::test_memory_compile_regions PASSED [3.5484s] [ 57%] 2025-12-04T12:28:41.7616386Z test_cuda.py::TestCudaMallocAsync::test_memory_plots PASSED [0.2284s] [ 58%] 2025-12-04T12:28:41.7617185Z test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_segment_stack PASSED [0.0084s] [ 58%] 2025-12-04T12:28:41.7618125Z test_cuda.py::TestCudaMallocAsync::test_memory_plots_free_stack PASSED [0.0054s] [ 59%] 2025-12-04T12:28:41.7618935Z test_cuda.py::TestCudaMallocAsync::test_memory_plots_history_context PASSED [0.0021s] [ 59%] 2025-12-04T12:28:41.7619753Z test_cuda.py::TestCudaMallocAsync::test_memory_plots_metadata PASSED [0.0027s] [ 59%] 2025-12-04T12:28:41.7620531Z test_cuda.py::TestCudaMallocAsync::test_memory_profiler_viz PASSED [0.0645s] [ 60%] 2025-12-04T12:28:41.7622789Z test_cuda.py::TestCudaMallocAsync::test_memory_snapshot SKIPPED [0.0009s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/126953 for platform(s) linux, rocm, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 60%] 2025-12-04T12:28:41.7624985Z test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_script PASSED [0.0045s] [ 61%] 2025-12-04T12:28:41.7627158Z test_cuda.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/137249 for platform(s) linux, rocm, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 61%] 2025-12-04T12:28:41.7629287Z test_cuda.py::TestCudaMallocAsync::test_notifies_oom PASSED [0.0493s] [ 61%] 2025-12-04T12:28:41.7630180Z test_cuda.py::TestCudaMallocAsync::test_nvml_get_handler SKIPPED [0.0003s] (pynvml/amdsmi is not available) [ 62%] 2025-12-04T12:28:41.7631205Z test_cuda.py::TestCudaMallocAsync::test_power_draw SKIPPED [0.0003s] (pynvml/amdsmi is not available) [ 62%] 2025-12-04T12:28:41.7632174Z test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_False PASSED [0.0127s] [ 63%] 2025-12-04T12:28:41.7633134Z test_cuda.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_True PASSED [0.0116s] [ 63%] 2025-12-04T12:28:41.7634168Z test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_count SKIPPED [0.0003s] (pynvml/amdsmi is not available) [ 63%] 2025-12-04T12:28:41.7635283Z test_cuda.py::TestCudaMallocAsync::test_raw_amdsmi_device_uuids SKIPPED [0.0002s] (pynvml/amdsmi is not available) [ 64%] 2025-12-04T12:28:41.7636338Z test_cuda.py::TestCudaMallocAsync::test_temperature SKIPPED [0.0002s] (pynvml/amdsmi is not available) [ 64%] 2025-12-04T12:28:41.7637396Z test_cuda.py::TestCudaMallocAsync::test_uuid_visible_devices SKIPPED [0.0002s] (pynvml/amdsmi is not available) [ 65%] 2025-12-04T12:28:41.7638449Z test_cuda.py::TestBlockStateAbsorption::test_additional_free_following_checkpoint PASSED [0.2887s] [ 65%] 2025-12-04T12:28:41.7639398Z test_cuda.py::TestBlockStateAbsorption::test_allocate_in_thread_to_pool PASSED [0.5039s] [ 65%] 2025-12-04T12:28:41.7640297Z test_cuda.py::TestBlockStateAbsorption::test_allocated_in_middle_of_segment PASSED [0.2484s] [ 66%] 2025-12-04T12:28:41.7641261Z test_cuda.py::TestBlockStateAbsorption::test_assigning_back_deleter_fns_to_tensor PASSED [0.2705s] [ 66%] 2025-12-04T12:28:41.7642214Z test_cuda.py::TestBlockStateAbsorption::test_check_pool_live_allocations PASSED [0.2726s] [ 67%] 2025-12-04T12:28:41.7643135Z test_cuda.py::TestBlockStateAbsorption::test_middle_allocations_contiguous PASSED [0.2802s] [ 67%] 2025-12-04T12:28:41.7644040Z test_cuda.py::TestBlockStateAbsorption::test_multiple_middle_allocations PASSED [0.2488s] [ 67%] 2025-12-04T12:28:41.7644915Z test_cuda.py::TestBlockStateAbsorption::test_no_triton_on_import PASSED [5.2751s] [ 68%] 2025-12-04T12:28:41.7645717Z test_cuda.py::TestBlockStateAbsorption::test_resnet PASSED [0.6592s] [ 68%] 2025-12-04T12:28:41.7646460Z test_cuda.py::TestBlockStateAbsorption::test_simple PASSED [0.2503s] [ 69%] 2025-12-04T12:28:41.7647274Z test_cuda.py::TestBlockStateAbsorption::test_tensor_dies_after_checkpoint PASSED [0.2460s] [ 69%] 2025-12-04T12:28:41.7648121Z test_cuda.py::TestMemPool::test_graph_capture_reclaim_2_streams PASSED [0.0028s] [ 69%] 2025-12-04T12:28:41.7648936Z test_cuda.py::TestMemPool::test_graph_capture_reclaim_4_streams PASSED [0.0030s] [ 70%] 2025-12-04T12:28:41.7651071Z test_cuda.py::TestMemPool::test_mempool_ctx_multithread SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/153460 for platform(s) linux, rocm, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 70%] 2025-12-04T12:28:41.7653324Z test_cuda.py::TestMemPool::test_mempool_empty_cache PASSED [0.0022s] [ 71%] 2025-12-04T12:28:41.7655409Z test_cuda.py::TestMemPool::test_mempool_empty_cache_inactive SKIPPED [0.0006s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/159663 for platform(s) linux, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 71%] 2025-12-04T12:28:41.7657524Z test_cuda.py::TestMemPool::test_mempool_emptycache_multithread PASSED [0.0033s] [ 71%] 2025-12-04T12:28:41.7660524Z test_cuda.py::TestMemPool::test_mempool_expandable [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=dummy_allocator -DTORCH_API_INCLUDE_EXTENSION_H -isystem /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -isystem /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -isystem /usr/local/cuda/include -isystem /opt/conda/envs/py_3.10/include/python3.10 -fPIC -std=c++17 -c /var/lib/jenkins/.cache/torch_extensions/py310_cu124/dummy_allocator/main.cpp -o main.o 2025-12-04T12:28:41.7664069Z [2/2] c++ main.o -shared -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -lc10 -lc10_cuda -ltorch_cpu -ltorch_cuda -ltorch -ltorch_python -L/usr/local/cuda/lib64 -lcudart -o dummy_allocator.so 2025-12-04T12:28:41.7665218Z PASSED [2.2669s] [ 72%] 2025-12-04T12:28:41.7665711Z test_cuda.py::TestMemPool::test_mempool_id PASSED [0.0014s] [ 72%] 2025-12-04T12:28:41.7667843Z test_cuda.py::TestMemPool::test_mempool_limited_memory_with_allocator SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157256 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 73%] 2025-12-04T12:28:41.7669974Z test_cuda.py::TestMemPool::test_mempool_multithread PASSED [0.0020s] [ 73%] 2025-12-04T12:28:41.7672033Z test_cuda.py::TestMemPool::test_mempool_with_allocator SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/154566 for platform(s) linux, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 73%] 2025-12-04T12:28:41.7674081Z test_cuda.py::TestMemPool::test_nested_mempool PASSED [0.0026s] [ 74%] 2025-12-04T12:28:41.7674971Z test_cuda.py::TestGDS::test_gds_read_write_tensors SKIPPED [0.0002s] (Disabling as USE_CUFILE=0 by default in builds) [ 74%] 2025-12-04T12:28:41.7675864Z test_cuda.py::TestCudaAutocast::test_autocast_banned PASSED [0.0040s] [ 75%] 2025-12-04T12:28:41.7676591Z test_cuda.py::TestCudaAutocast::test_autocast_cache_leak PASSED [0.0688s] [ 75%] 2025-12-04T12:28:41.7677323Z test_cuda.py::TestCudaAutocast::test_autocast_cat_jit PASSED [0.0084s] [ 75%] 2025-12-04T12:28:41.7678065Z test_cuda.py::TestCudaAutocast::test_autocast_checkpointing PASSED [0.0106s] [ 76%] 2025-12-04T12:28:41.7678832Z test_cuda.py::TestCudaAutocast::test_autocast_custom_cast_inputs PASSED [0.0056s] [ 76%] 2025-12-04T12:28:41.7679676Z test_cuda.py::TestCudaAutocast::test_autocast_custom_deprecated_warning PASSED [0.0043s] [ 76%] 2025-12-04T12:28:41.7680536Z test_cuda.py::TestCudaAutocast::test_autocast_custom_enabled PASSED [0.0052s] [ 77%] 2025-12-04T12:28:41.7681288Z test_cuda.py::TestCudaAutocast::test_autocast_ignored_types PASSED [0.0042s] [ 77%] 2025-12-04T12:28:41.7682034Z test_cuda.py::TestCudaAutocast::test_autocast_linalg_fp16 PASSED [0.0043s] [ 78%] 2025-12-04T12:28:41.7682863Z test_cuda.py::TestCudaAutocast::test_autocast_methods_expect_builtin_promote PASSED [0.0048s] [ 78%] 2025-12-04T12:28:41.7683736Z test_cuda.py::TestCudaAutocast::test_autocast_methods_fp16 PASSED [0.0037s] [ 78%] 2025-12-04T12:28:41.7684523Z test_cuda.py::TestCudaAutocast::test_autocast_methods_fp32 PASSED [0.0039s] [ 79%] 2025-12-04T12:28:41.7685250Z test_cuda.py::TestCudaAutocast::test_autocast_nn_bf16 PASSED [0.0038s] [ 79%] 2025-12-04T12:28:41.7685955Z test_cuda.py::TestCudaAutocast::test_autocast_nn_fp16 PASSED [0.0038s] [ 80%] 2025-12-04T12:28:41.7686662Z test_cuda.py::TestCudaAutocast::test_autocast_nn_fp32 PASSED [0.0055s] [ 80%] 2025-12-04T12:28:41.7687354Z test_cuda.py::TestCudaAutocast::test_autocast_rnn PASSED [11.8427s] [ 80%] 2025-12-04T12:28:41.7688068Z test_cuda.py::TestCudaAutocast::test_autocast_torch_bf16 PASSED [0.0503s] [ 81%] 2025-12-04T12:28:41.7688874Z test_cuda.py::TestCudaAutocast::test_autocast_torch_expect_builtin_promote PASSED [0.0061s] [ 81%] 2025-12-04T12:28:41.7689674Z test_cuda.py::TestCudaAutocast::test_autocast_torch_fp16 PASSED [0.0318s] [ 82%] 2025-12-04T12:28:41.7690401Z test_cuda.py::TestCudaAutocast::test_autocast_torch_fp32 PASSED [0.6958s] [ 82%] 2025-12-04T12:28:41.7691291Z test_cuda.py::TestCudaAutocast::test_autocast_torch_need_autocast_promote PASSED [0.0095s] [ 82%] 2025-12-04T12:28:41.7692170Z test_cuda.py::TestCudaAutocast::test_cuda_autocast_deprecated_warning PASSED [0.0115s] [ 83%] 2025-12-04T12:28:41.7693095Z test_cuda.py::TestCompileKernel::test_compile_kernel SKIPPED [0.0003s] (Doesn't work with older driver) [ 83%] 2025-12-04T12:28:41.7694156Z test_cuda.py::TestCompileKernel::test_compile_kernel_advanced SKIPPED [0.0002s] (Doesn't work with older driver) [ 84%] 2025-12-04T12:28:41.7695281Z test_cuda.py::TestCompileKernel::test_compile_kernel_as_custom_op SKIPPED [0.0002s] (Doesn't work with older driver) [ 84%] 2025-12-04T12:28:41.7696417Z test_cuda.py::TestCompileKernel::test_compile_kernel_cuda_headers SKIPPED [0.0002s] (Doesn't work with older driver) [ 84%] 2025-12-04T12:28:41.7697581Z test_cuda.py::TestCompileKernel::test_compile_kernel_custom_op_validation SKIPPED [0.0002s] (Doesn't work with older driver) [ 85%] 2025-12-04T12:28:41.7698746Z test_cuda.py::TestCompileKernel::test_compile_kernel_dlpack SKIPPED [0.0002s] (Doesn't work with older driver) [ 85%] 2025-12-04T12:28:41.7699875Z test_cuda.py::TestCompileKernel::test_compile_kernel_double_precision SKIPPED [0.0002s] (Doesn't work with older driver) [ 86%] 2025-12-04T12:28:41.7701073Z test_cuda.py::TestCompileKernel::test_compile_kernel_large_shared_memory SKIPPED [0.0002s] (Doesn't work with older driver) [ 86%] 2025-12-04T12:28:41.7702215Z test_cuda.py::TestCompileKernel::test_compile_kernel_template SKIPPED [0.0004s] (Doesn't work with older driver) [ 86%] 2025-12-04T12:28:41.7703211Z test_cuda.py::TestFXMemoryProfiler::test_fx_memory_profiler_augmentation PASSED [0.3992s] [ 87%] 2025-12-04T12:28:41.7704290Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_AdamW_cuda_float32 PASSED [0.2303s] [ 87%] 2025-12-04T12:28:41.7705758Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_Adam_cuda_float32 PASSED [0.2214s] [ 88%] 2025-12-04T12:28:41.7707012Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_False_SGD_cuda_float32 PASSED [0.2171s] [ 88%] 2025-12-04T12:28:41.7708266Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_AdamW_cuda_float32 PASSED [0.2138s] [ 88%] 2025-12-04T12:28:41.7709515Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_Adam_cuda_float32 PASSED [0.2220s] [ 89%] 2025-12-04T12:28:41.7710859Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaler_with_preset_grad_scale_in_place_unscale_True_SGD_cuda_float32 PASSED [0.2153s] [ 89%] 2025-12-04T12:28:41.7712246Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaling_autocast_fused_optimizers_Adagrad_cuda_float32 SKIPPED [0.2152s] (cuda is not supported for fused on Adagrad) [ 90%] 2025-12-04T12:28:41.7713644Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaling_autocast_fused_optimizers_AdamW_cuda_float32 PASSED [1.3401s] [ 90%] 2025-12-04T12:28:41.7714877Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaling_autocast_fused_optimizers_Adam_cuda_float32 PASSED [1.3650s] [ 90%] 2025-12-04T12:28:41.7715996Z test_cuda.py::TestCudaOptimsCUDA::test_grad_scaling_autocast_fused_optimizers_SGD_cuda_float32 PASSED [0.8444s] [ 91%] 2025-12-04T12:28:41.7717118Z test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_False_AdamW_cuda_float32 PASSED [0.2316s] [ 91%] 2025-12-04T12:28:41.7718278Z test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_False_Adam_cuda_float32 PASSED [0.2253s] [ 92%] 2025-12-04T12:28:41.7719418Z test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_False_SGD_cuda_float32 PASSED [0.2307s] [ 92%] 2025-12-04T12:28:41.7720654Z test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_True_AdamW_cuda_float32 PASSED [0.2478s] [ 92%] 2025-12-04T12:28:41.7721800Z test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_True_Adam_cuda_float32 PASSED [0.2277s] [ 93%] 2025-12-04T12:28:41.7722925Z test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_False_fused_True_SGD_cuda_float32 PASSED [0.2352s] [ 93%] 2025-12-04T12:28:41.7724065Z test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_True_fused_False_AdamW_cuda_float32 PASSED [0.2264s] [ 94%] 2025-12-04T12:28:41.7725204Z test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_True_fused_False_Adam_cuda_float32 PASSED [0.2436s] [ 94%] 2025-12-04T12:28:41.7726342Z test_cuda.py::TestCudaOptimsCUDA::test_graph_grad_scaling_foreach_True_fused_False_SGD_cuda_float32 PASSED [0.2437s] [ 94%] 2025-12-04T12:28:41.7727328Z test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_ASGD_cuda_float32 PASSED [0.6894s] [ 95%] 2025-12-04T12:28:41.7728198Z test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_Adadelta_cuda_float32 PASSED [0.4712s] [ 95%] 2025-12-04T12:28:41.7729076Z test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_AdamW_cuda_float32 PASSED [0.6386s] [ 96%] 2025-12-04T12:28:41.7729920Z test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_Adam_cuda_float32 PASSED [0.6408s] [ 96%] 2025-12-04T12:28:41.7730780Z test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_Adamax_cuda_float32 PASSED [0.5050s] [ 96%] 2025-12-04T12:28:41.7731753Z test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_NAdam_cuda_float32 PASSED [0.6976s] [ 97%] 2025-12-04T12:28:41.7732611Z test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_RAdam_cuda_float32 PASSED [0.6713s] [ 97%] 2025-12-04T12:28:41.7733468Z test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_RMSprop_cuda_float32 PASSED [0.4875s] [ 98%] 2025-12-04T12:28:41.7734336Z test_cuda.py::TestCudaOptimsCUDA::test_graph_optims_Rprop_cuda_float32 PASSED [0.6047s] [ 98%] 2025-12-04T12:28:41.7735292Z test_cuda.py::TestCudaOptimsCUDA::test_graph_scaling_fused_optimizers_AdamW_cuda_float32 PASSED [0.3623s] [ 98%] 2025-12-04T12:28:41.7736331Z test_cuda.py::TestCudaOptimsCUDA::test_graph_scaling_fused_optimizers_Adam_cuda_float32 PASSED [0.3972s] [ 99%] 2025-12-04T12:28:41.7737346Z test_cuda.py::TestCudaOptimsCUDA::test_graph_scaling_fused_optimizers_SGD_cuda_float32 PASSED [0.3209s] [ 99%] 2025-12-04T12:28:41.7738476Z test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda ('RERUN', {'yellow': True}) [0.3252s] [100%] 2025-12-04T12:28:41.7739716Z test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda ('RERUN', {'yellow': True}) [0.3242s] [100%] 2025-12-04T12:28:41.7740920Z test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda FAILED [0.3231s] [100%] 2025-12-04T12:28:41.7741519Z 2025-12-04T12:28:41.7741661Z ==================================== RERUNS ==================================== 2025-12-04T12:28:41.7742204Z _________________ TestCuda.test_record_stream_on_shifted_view __________________ 2025-12-04T12:28:41.7742759Z Traceback (most recent call last): 2025-12-04T12:28:41.7743566Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T12:28:41.7744364Z method(*args, **kwargs) 2025-12-04T12:28:41.7745096Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T12:28:41.7745869Z method(*args, **kwargs) 2025-12-04T12:28:41.7746580Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3328, in wrapper 2025-12-04T12:28:41.7747343Z with policy(): 2025-12-04T12:28:41.7748033Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2705, in __exit__ 2025-12-04T12:28:41.7748819Z raise RuntimeError(msg) 2025-12-04T12:28:41.7750106Z RuntimeError: CUDA driver API confirmed a leak in __main__.TestCuda.test_record_stream_on_shifted_view! Caching allocator allocated memory was 983040 and is now reported as 983552 on device 0. CUDA driver allocated memory was 1320091648 and is now 1322188800. 2025-12-04T12:28:41.7751355Z 2025-12-04T12:28:41.7751572Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7752326Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCuda.test_record_stream_on_shifted_view 2025-12-04T12:28:41.7752868Z 2025-12-04T12:28:41.7753150Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7753879Z ___ TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda ____ 2025-12-04T12:28:41.7754480Z Traceback (most recent call last): 2025-12-04T12:28:41.7755142Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 7407, in test_graph_external_wait_and_record 2025-12-04T12:28:41.7755935Z spin_wait_kernel = _compile_kernel(kernel_source, "wait_for_cpu") 2025-12-04T12:28:41.7756755Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1815, in _compile_kernel 2025-12-04T12:28:41.7757527Z result = _cuda_load_module(ptx, [mangled_name]) 2025-12-04T12:28:41.7758287Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 482, in _cuda_load_module 2025-12-04T12:28:41.7759125Z _check_cuda(libcuda.cuModuleLoadData(ctypes.byref(module), ptx)) 2025-12-04T12:28:41.7759936Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 49, in _check_cuda 2025-12-04T12:28:41.7760676Z raise RuntimeError(f"CUDA error: {error_message}") 2025-12-04T12:28:41.7761319Z RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7761785Z 2025-12-04T12:28:41.7762001Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7762937Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7763668Z 2025-12-04T12:28:41.7763937Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7764692Z ___ TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda ____ 2025-12-04T12:28:41.7765283Z Traceback (most recent call last): 2025-12-04T12:28:41.7765938Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 7407, in test_graph_external_wait_and_record 2025-12-04T12:28:41.7766733Z spin_wait_kernel = _compile_kernel(kernel_source, "wait_for_cpu") 2025-12-04T12:28:41.7767590Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1815, in _compile_kernel 2025-12-04T12:28:41.7768359Z result = _cuda_load_module(ptx, [mangled_name]) 2025-12-04T12:28:41.7769111Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 482, in _cuda_load_module 2025-12-04T12:28:41.7769955Z _check_cuda(libcuda.cuModuleLoadData(ctypes.byref(module), ptx)) 2025-12-04T12:28:41.7770745Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 49, in _check_cuda 2025-12-04T12:28:41.7771638Z raise RuntimeError(f"CUDA error: {error_message}") 2025-12-04T12:28:41.7772308Z RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7772780Z 2025-12-04T12:28:41.7773010Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7773921Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7774644Z 2025-12-04T12:28:41.7774910Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7775466Z =================================== FAILURES =================================== 2025-12-04T12:28:41.7776091Z ___ TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda ____ 2025-12-04T12:28:41.7776678Z Traceback (most recent call last): 2025-12-04T12:28:41.7777338Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 7407, in test_graph_external_wait_and_record 2025-12-04T12:28:41.7778130Z spin_wait_kernel = _compile_kernel(kernel_source, "wait_for_cpu") 2025-12-04T12:28:41.7778960Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1815, in _compile_kernel 2025-12-04T12:28:41.7779718Z result = _cuda_load_module(ptx, [mangled_name]) 2025-12-04T12:28:41.7780479Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 482, in _cuda_load_module 2025-12-04T12:28:41.7781328Z _check_cuda(libcuda.cuModuleLoadData(ctypes.byref(module), ptx)) 2025-12-04T12:28:41.7782120Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 49, in _check_cuda 2025-12-04T12:28:41.7782858Z raise RuntimeError(f"CUDA error: {error_message}") 2025-12-04T12:28:41.7783481Z RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7783951Z 2025-12-04T12:28:41.7784174Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7785111Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7785834Z 2025-12-04T12:28:41.7786100Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7787065Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda/test_cuda-5ed00e1947438b77.xml - 2025-12-04T12:28:41.7787923Z =========================== short test summary info ============================ 2025-12-04T12:28:41.7789094Z FAILED [0.3231s] test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda - RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7790081Z 2025-12-04T12:28:41.7790296Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7791219Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7791928Z 2025-12-04T12:28:41.7792205Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7792780Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:28:41.7793353Z == 1 failed, 209 passed, 39 skipped, 3 xfailed, 3 rerun in 297.75s (0:04:57) === 2025-12-04T12:28:41.7793847Z Got exit code 1 2025-12-04T12:28:41.7794105Z Retrying single test... 2025-12-04T12:28:41.7794724Z Test results will be stored in test-reports/python-pytest/test_cuda/test_cuda-f463609431d5e67f.xml 2025-12-04T12:28:41.7795423Z ============================= test session starts ============================== 2025-12-04T12:28:41.7796086Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:28:41.7796681Z cachedir: .pytest_cache 2025-12-04T12:28:41.7797434Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:28:41.7798285Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:28:41.7798626Z configfile: pytest.ini 2025-12-04T12:28:41.7799402Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:28:41.7800353Z collecting ... collected 252 items / 251 deselected / 1 selected 2025-12-04T12:28:41.7801371Z stepcurrent: skipping 251 already run items. Running only test/test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7802270Z Running 1 items in this shard 2025-12-04T12:28:41.7802491Z 2025-12-04T12:28:41.7803041Z test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda ('RERUN', {'yellow': True}) [0.1024s] [100%] 2025-12-04T12:28:41.7804287Z test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda ('RERUN', {'yellow': True}) [0.0599s] [100%] 2025-12-04T12:28:41.7805653Z test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda FAILED [0.0613s] [100%] 2025-12-04T12:28:41.7806249Z 2025-12-04T12:28:41.7806391Z ==================================== RERUNS ==================================== 2025-12-04T12:28:41.7807013Z ___ TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda ____ 2025-12-04T12:28:41.7807615Z Traceback (most recent call last): 2025-12-04T12:28:41.7808280Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 7407, in test_graph_external_wait_and_record 2025-12-04T12:28:41.7809055Z spin_wait_kernel = _compile_kernel(kernel_source, "wait_for_cpu") 2025-12-04T12:28:41.7809891Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1815, in _compile_kernel 2025-12-04T12:28:41.7810655Z result = _cuda_load_module(ptx, [mangled_name]) 2025-12-04T12:28:41.7811478Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 482, in _cuda_load_module 2025-12-04T12:28:41.7812326Z _check_cuda(libcuda.cuModuleLoadData(ctypes.byref(module), ptx)) 2025-12-04T12:28:41.7813129Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 49, in _check_cuda 2025-12-04T12:28:41.7813867Z raise RuntimeError(f"CUDA error: {error_message}") 2025-12-04T12:28:41.7814481Z RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7814961Z 2025-12-04T12:28:41.7815182Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7816109Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7816818Z 2025-12-04T12:28:41.7817097Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7817829Z ___ TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda ____ 2025-12-04T12:28:41.7818428Z Traceback (most recent call last): 2025-12-04T12:28:41.7819081Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 7407, in test_graph_external_wait_and_record 2025-12-04T12:28:41.7819855Z spin_wait_kernel = _compile_kernel(kernel_source, "wait_for_cpu") 2025-12-04T12:28:41.7820720Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1815, in _compile_kernel 2025-12-04T12:28:41.7821541Z result = _cuda_load_module(ptx, [mangled_name]) 2025-12-04T12:28:41.7822400Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 482, in _cuda_load_module 2025-12-04T12:28:41.7823235Z _check_cuda(libcuda.cuModuleLoadData(ctypes.byref(module), ptx)) 2025-12-04T12:28:41.7824042Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 49, in _check_cuda 2025-12-04T12:28:41.7824852Z raise RuntimeError(f"CUDA error: {error_message}") 2025-12-04T12:28:41.7825522Z RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7825991Z 2025-12-04T12:28:41.7826255Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7827179Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7827885Z 2025-12-04T12:28:41.7828166Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7828739Z =================================== FAILURES =================================== 2025-12-04T12:28:41.7829356Z ___ TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda ____ 2025-12-04T12:28:41.7829959Z Traceback (most recent call last): 2025-12-04T12:28:41.7830624Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 7407, in test_graph_external_wait_and_record 2025-12-04T12:28:41.7831404Z spin_wait_kernel = _compile_kernel(kernel_source, "wait_for_cpu") 2025-12-04T12:28:41.7832244Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1815, in _compile_kernel 2025-12-04T12:28:41.7833007Z result = _cuda_load_module(ptx, [mangled_name]) 2025-12-04T12:28:41.7833766Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 482, in _cuda_load_module 2025-12-04T12:28:41.7834606Z _check_cuda(libcuda.cuModuleLoadData(ctypes.byref(module), ptx)) 2025-12-04T12:28:41.7835417Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 49, in _check_cuda 2025-12-04T12:28:41.7836159Z raise RuntimeError(f"CUDA error: {error_message}") 2025-12-04T12:28:41.7836777Z RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7837258Z 2025-12-04T12:28:41.7837473Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7838413Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7839126Z 2025-12-04T12:28:41.7839413Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7840368Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda/test_cuda-f463609431d5e67f.xml - 2025-12-04T12:28:41.7841238Z =========================== short test summary info ============================ 2025-12-04T12:28:41.7842407Z FAILED [0.0613s] test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda - RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7843386Z 2025-12-04T12:28:41.7843613Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7844538Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7845243Z 2025-12-04T12:28:41.7845510Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7846105Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:28:41.7846635Z ================== 1 failed, 251 deselected, 2 rerun in 0.28s ================== 2025-12-04T12:28:41.7847069Z Got exit code 1 2025-12-04T12:28:41.7847338Z Retrying single test... 2025-12-04T12:28:41.7847906Z Test results will be stored in test-reports/python-pytest/test_cuda/test_cuda-f840e6f84c1a5bc6.xml 2025-12-04T12:28:41.7848641Z ============================= test session starts ============================== 2025-12-04T12:28:41.7849288Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:28:41.7849890Z cachedir: .pytest_cache 2025-12-04T12:28:41.7850597Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:28:41.7851519Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:28:41.7851882Z configfile: pytest.ini 2025-12-04T12:28:41.7852694Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:28:41.7853647Z collecting ... collected 252 items / 251 deselected / 1 selected 2025-12-04T12:28:41.7854660Z stepcurrent: skipping 251 already run items. Running only test/test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7855659Z Running 1 items in this shard 2025-12-04T12:28:41.7855870Z 2025-12-04T12:28:41.7856434Z test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda ('RERUN', {'yellow': True}) [0.1017s] [100%] 2025-12-04T12:28:41.7857684Z test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda ('RERUN', {'yellow': True}) [0.0593s] [100%] 2025-12-04T12:28:41.7858830Z test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda FAILED [0.0572s] [100%] 2025-12-04T12:28:41.7859444Z 2025-12-04T12:28:41.7859587Z ==================================== RERUNS ==================================== 2025-12-04T12:28:41.7860206Z ___ TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda ____ 2025-12-04T12:28:41.7860801Z Traceback (most recent call last): 2025-12-04T12:28:41.7861444Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 7407, in test_graph_external_wait_and_record 2025-12-04T12:28:41.7862228Z spin_wait_kernel = _compile_kernel(kernel_source, "wait_for_cpu") 2025-12-04T12:28:41.7863061Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1815, in _compile_kernel 2025-12-04T12:28:41.7863811Z result = _cuda_load_module(ptx, [mangled_name]) 2025-12-04T12:28:41.7864568Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 482, in _cuda_load_module 2025-12-04T12:28:41.7865419Z _check_cuda(libcuda.cuModuleLoadData(ctypes.byref(module), ptx)) 2025-12-04T12:28:41.7866226Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 49, in _check_cuda 2025-12-04T12:28:41.7866948Z raise RuntimeError(f"CUDA error: {error_message}") 2025-12-04T12:28:41.7867577Z RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7868043Z 2025-12-04T12:28:41.7868272Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7869200Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7869909Z 2025-12-04T12:28:41.7870174Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7870919Z ___ TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda ____ 2025-12-04T12:28:41.7871518Z Traceback (most recent call last): 2025-12-04T12:28:41.7872162Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 7407, in test_graph_external_wait_and_record 2025-12-04T12:28:41.7872951Z spin_wait_kernel = _compile_kernel(kernel_source, "wait_for_cpu") 2025-12-04T12:28:41.7873781Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1815, in _compile_kernel 2025-12-04T12:28:41.7874541Z result = _cuda_load_module(ptx, [mangled_name]) 2025-12-04T12:28:41.7875328Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 482, in _cuda_load_module 2025-12-04T12:28:41.7876170Z _check_cuda(libcuda.cuModuleLoadData(ctypes.byref(module), ptx)) 2025-12-04T12:28:41.7876977Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 49, in _check_cuda 2025-12-04T12:28:41.7877717Z raise RuntimeError(f"CUDA error: {error_message}") 2025-12-04T12:28:41.7878331Z RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7878878Z 2025-12-04T12:28:41.7879093Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7880053Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7880764Z 2025-12-04T12:28:41.7881043Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7881589Z =================================== FAILURES =================================== 2025-12-04T12:28:41.7882219Z ___ TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda ____ 2025-12-04T12:28:41.7882816Z Traceback (most recent call last): 2025-12-04T12:28:41.7883461Z File "/var/lib/jenkins/workspace/test/test_cuda.py", line 7407, in test_graph_external_wait_and_record 2025-12-04T12:28:41.7884245Z spin_wait_kernel = _compile_kernel(kernel_source, "wait_for_cpu") 2025-12-04T12:28:41.7885076Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1815, in _compile_kernel 2025-12-04T12:28:41.7885847Z result = _cuda_load_module(ptx, [mangled_name]) 2025-12-04T12:28:41.7886586Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 482, in _cuda_load_module 2025-12-04T12:28:41.7887426Z _check_cuda(libcuda.cuModuleLoadData(ctypes.byref(module), ptx)) 2025-12-04T12:28:41.7888232Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/_utils.py", line 49, in _check_cuda 2025-12-04T12:28:41.7888955Z raise RuntimeError(f"CUDA error: {error_message}") 2025-12-04T12:28:41.7889577Z RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7890056Z 2025-12-04T12:28:41.7890270Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7891304Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7892017Z 2025-12-04T12:28:41.7892284Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7893261Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda/test_cuda-f840e6f84c1a5bc6.xml - 2025-12-04T12:28:41.7894142Z =========================== short test summary info ============================ 2025-12-04T12:28:41.7895309Z FAILED [0.0572s] test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda - RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain. 2025-12-04T12:28:41.7896281Z 2025-12-04T12:28:41.7896497Z To execute this test, run the following from the base repo dir: 2025-12-04T12:28:41.7897429Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCudaDeviceParametrizedCUDA.test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7898154Z 2025-12-04T12:28:41.7898422Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:28:41.7899017Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:28:41.7899533Z ================== 1 failed, 251 deselected, 2 rerun in 0.27s ================== 2025-12-04T12:28:41.7899978Z Got exit code 1 2025-12-04T12:28:41.7900624Z FAILED CONSISTENTLY: test/test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda 2025-12-04T12:28:41.7901663Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:28:41.7902646Z Test results will be stored in test-reports/python-pytest/test_cuda/test_cuda-e583258a5cd135c9.xml 2025-12-04T12:28:41.7903341Z ============================= test session starts ============================== 2025-12-04T12:28:41.7904011Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:28:41.7904840Z cachedir: .pytest_cache 2025-12-04T12:28:41.7905724Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:28:41.7906620Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:28:41.7906981Z configfile: pytest.ini 2025-12-04T12:28:41.7907747Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:28:41.7908704Z collecting ... collected 252 items / 252 deselected / 0 selected 2025-12-04T12:28:41.7909215Z stepcurrent: skipping 252 already run items. 2025-12-04T12:28:41.7909618Z Running 0 items in this shard 2025-12-04T12:28:41.7909829Z 2025-12-04T12:28:41.7910388Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda/test_cuda-e583258a5cd135c9.xml - 2025-12-04T12:28:41.7911263Z =========================== 252 deselected in 0.04s ============================ 2025-12-04T12:28:41.7912182Z The following tests failed consistently: ['test/test_cuda.py::TestCudaDeviceParametrizedCUDA::test_graph_external_wait_and_record_cuda'] 2025-12-04T12:28:41.7912919Z 2025-12-04T12:28:41.7913302Z FINISHED PRINTING LOG FILE of test_cuda 1/1 (test/test-reports/test_cuda_1.1_96232d7fba7a63bb_.log) 2025-12-04T12:28:41.7913808Z 2025-12-04T12:28:41.7914065Z Finished test_cuda 1/1 ... [2025-12-04 12:28:41.726304][10557.475845373], took 5.58min 2025-12-04T12:28:41.7915124Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda/test_cuda-5ed00e1947438b77.xml 2025-12-04T12:28:41.8355155Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda/test_cuda-f463609431d5e67f.xml 2025-12-04T12:28:41.8684416Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda/test_cuda-f840e6f84c1a5bc6.xml 2025-12-04T12:28:41.8944705Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda/test_cuda-e583258a5cd135c9.xml 2025-12-04T12:28:42.3117628Z Uploading logs for 57119749297 to S3 2025-12-04T12:28:42.4189329Z Uploading artifacts took 0.50 seconds 2025-12-04T12:28:42.4190052Z test_cuda 1/1 failed! 2025-12-04T12:28:42.4194822Z Running higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 12:28:42.419276][10558.168818653] 2025-12-04T12:28:42.4195615Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T12:28:42.4200178Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'higher_order_ops/test_invoke_subgraph.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 12:28:42.419734] 2025-12-04T12:32:30.2990855Z 2025-12-04T12:32:30.2992564Z PRINTING LOG FILE of higher_order_ops/test_invoke_subgraph 1/1 (test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_7f537c7a4c7f2ac3_.log) 2025-12-04T12:32:30.2995077Z Test results will be stored in test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-b7fb334907bb1a55.xml 2025-12-04T12:32:30.2996848Z ============================= test session starts ============================== 2025-12-04T12:32:30.2997995Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:32:30.2999037Z cachedir: .pytest_cache 2025-12-04T12:32:30.3000231Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:32:30.3001606Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:32:30.3002438Z configfile: pytest.ini 2025-12-04T12:32:30.3003761Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:32:30.3005410Z collecting ... collected 73 items 2025-12-04T12:32:30.3006096Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T12:32:30.3076378Z Running 73 items in this shard: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_aot_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_multiple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_auto_functionalize, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_autograd_function, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_errors_under_training, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_works_under_no_grad, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_bwd_partitioning, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_complex, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_const_tensor, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dce, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dce_recursive, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dedupe, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_strides_in_backward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_symint, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_differing_strides_for_grad_outs, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_div, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph_inference, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dynamic, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fail_with_direct_invoke_subgraph, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fake_tensor_checking, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema_with_buffer_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_grad_accuracy_check, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_input_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_inference_mode, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times_fake_tensor_cahche_hit, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_kwargs_only, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_list, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_mod_attr_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_forward, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_nonlocal_list_mutation_hidden, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_nonlocal_update, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_normalize_gm, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_output_output_aliasing, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_output_strides, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_strides, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_redundant_compile_region, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none_from_fwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_size, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_symint_from_fwd_to_bwd, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_triton_kernel_native, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_tuple_of_tuple, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_udf_output, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked1, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked2, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked_symbol, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_view_to_reshape, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_pending_unbacked, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_func, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_method, test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_unbacked, test/higher_order_ops/test_invoke_subgraph.py::NegativeTesting::test_graph_break 2025-12-04T12:32:30.3147207Z 2025-12-04T12:32:30.3148026Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_aot_function PASSED [0.0438s] [ 1%] 2025-12-04T12:32:30.3149852Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_multiple PASSED [0.0383s] [ 2%] 2025-12-04T12:32:30.3151596Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraph::test_simple PASSED [0.0020s] [ 4%] 2025-12-04T12:32:30.3153339Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac PASSED [6.0695s] [ 5%] 2025-12-04T12:32:30.3155320Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng PASSED [2.2078s] [ 6%] 2025-12-04T12:32:30.3158180Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs W1204 12:29:01.250000 143067 site-packages/torch/_inductor/utils.py:1703] [2/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T12:32:30.3160437Z ('RERUN', {'yellow': True}) [2.1422s] [ 8%] 2025-12-04T12:32:30.3162099Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs ('RERUN', {'yellow': True}) [0.0112s] [ 8%] 2025-12-04T12:32:30.3164594Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs FAILED [0.0101s] [ 8%] 2025-12-04T12:32:30.3165777Z 2025-12-04T12:32:30.3166044Z ==================================== RERUNS ==================================== 2025-12-04T12:32:30.3167085Z _______________ TestInvokeSubgraphCompile.test_ac_rng_cudagraphs _______________ 2025-12-04T12:32:30.3168640Z torch._dynamo.exc.ObservedRuntimeError: raised exception ExceptionVariable() 2025-12-04T12:32:30.3169704Z 2025-12-04T12:32:30.3170156Z The above exception was the direct cause of the following exception: 2025-12-04T12:32:30.3170856Z 2025-12-04T12:32:30.3171198Z Traceback (most recent call last): 2025-12-04T12:32:30.3172564Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 1924, in test_ac_rng_cudagraphs 2025-12-04T12:32:30.3174014Z res = torch.compile( 2025-12-04T12:32:30.3175283Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 936, in compile_wrapper 2025-12-04T12:32:30.3176881Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-12-04T12:32:30.3177869Z torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3179791Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3182998Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3186166Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3187792Z 2025-12-04T12:32:30.3188953Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3190362Z 2025-12-04T12:32:30.3191360Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3192616Z 2025-12-04T12:32:30.3192804Z from user code: 2025-12-04T12:32:30.3194263Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3196264Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3197086Z 2025-12-04T12:32:30.3198427Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3200057Z 2025-12-04T12:32:30.3200073Z 2025-12-04T12:32:30.3200470Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3202224Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3203578Z 2025-12-04T12:32:30.3204089Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3205427Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3207579Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3209419Z warnings.warn( 2025-12-04T12:32:30.3211185Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3213123Z warnings.warn( 2025-12-04T12:32:30.3214091Z _______________ TestInvokeSubgraphCompile.test_ac_rng_cudagraphs _______________ 2025-12-04T12:32:30.3215750Z torch._dynamo.exc.ObservedRuntimeError: raised exception ExceptionVariable() 2025-12-04T12:32:30.3216793Z 2025-12-04T12:32:30.3217255Z The above exception was the direct cause of the following exception: 2025-12-04T12:32:30.3217960Z 2025-12-04T12:32:30.3218176Z Traceback (most recent call last): 2025-12-04T12:32:30.3219569Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 1924, in test_ac_rng_cudagraphs 2025-12-04T12:32:30.3221022Z res = torch.compile( 2025-12-04T12:32:30.3222261Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 936, in compile_wrapper 2025-12-04T12:32:30.3223884Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-12-04T12:32:30.3224892Z torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3226828Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3230051Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3233245Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3234904Z 2025-12-04T12:32:30.3236044Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3237451Z 2025-12-04T12:32:30.3238459Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3239706Z 2025-12-04T12:32:30.3239906Z from user code: 2025-12-04T12:32:30.3241372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3243375Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3244187Z 2025-12-04T12:32:30.3245564Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3247177Z 2025-12-04T12:32:30.3247193Z 2025-12-04T12:32:30.3247610Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3249344Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3250728Z 2025-12-04T12:32:30.3251328Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3252502Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3254544Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3256361Z warnings.warn( 2025-12-04T12:32:30.3258035Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3259869Z warnings.warn( 2025-12-04T12:32:30.3260530Z =================================== FAILURES =================================== 2025-12-04T12:32:30.3261565Z _______________ TestInvokeSubgraphCompile.test_ac_rng_cudagraphs _______________ 2025-12-04T12:32:30.3263111Z torch._dynamo.exc.ObservedRuntimeError: raised exception ExceptionVariable() 2025-12-04T12:32:30.3264153Z 2025-12-04T12:32:30.3264715Z The above exception was the direct cause of the following exception: 2025-12-04T12:32:30.3265489Z 2025-12-04T12:32:30.3265718Z Traceback (most recent call last): 2025-12-04T12:32:30.3267166Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 1924, in test_ac_rng_cudagraphs 2025-12-04T12:32:30.3268608Z res = torch.compile( 2025-12-04T12:32:30.3269853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 936, in compile_wrapper 2025-12-04T12:32:30.3271454Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-12-04T12:32:30.3272474Z torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3274407Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3277615Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3280814Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3282468Z 2025-12-04T12:32:30.3283615Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3285036Z 2025-12-04T12:32:30.3286033Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3287285Z 2025-12-04T12:32:30.3287468Z from user code: 2025-12-04T12:32:30.3288934Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3290915Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3291858Z 2025-12-04T12:32:30.3293204Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3294840Z 2025-12-04T12:32:30.3294849Z 2025-12-04T12:32:30.3295250Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3297003Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3298364Z 2025-12-04T12:32:30.3298878Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3300032Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3302076Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3303928Z warnings.warn( 2025-12-04T12:32:30.3305770Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3307607Z warnings.warn( 2025-12-04T12:32:30.3309504Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-b7fb334907bb1a55.xml - 2025-12-04T12:32:30.3311710Z =========================== short test summary info ============================ 2025-12-04T12:32:30.3313741Z FAILED [0.0101s] higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs - torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3316727Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3320128Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3323384Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3325025Z 2025-12-04T12:32:30.3326186Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3327597Z 2025-12-04T12:32:30.3328579Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3329856Z 2025-12-04T12:32:30.3330035Z from user code: 2025-12-04T12:32:30.3331622Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3333630Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3334443Z 2025-12-04T12:32:30.3335802Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3337431Z 2025-12-04T12:32:30.3337443Z 2025-12-04T12:32:30.3337840Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3339607Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3340985Z 2025-12-04T12:32:30.3341493Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3342582Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:32:30.3343493Z ==================== 1 failed, 5 passed, 2 rerun in 10.57s ===================== 2025-12-04T12:32:30.3344298Z Got exit code 1 2025-12-04T12:32:30.3344766Z Retrying single test... 2025-12-04T12:32:30.3346353Z Test results will be stored in test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-6b7b23216f179887.xml 2025-12-04T12:32:30.3348187Z ============================= test session starts ============================== 2025-12-04T12:32:30.3349395Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:32:30.3350520Z cachedir: .pytest_cache 2025-12-04T12:32:30.3351815Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:32:30.3353281Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:32:30.3353908Z configfile: pytest.ini 2025-12-04T12:32:30.3355309Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:32:30.3357080Z collecting ... collected 73 items / 72 deselected / 1 selected 2025-12-04T12:32:30.3358999Z stepcurrent: skipping 5 already run items. Running only test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs 2025-12-04T12:32:30.3360722Z Running 1 items in this shard 2025-12-04T12:32:30.3361105Z 2025-12-04T12:32:30.3363097Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs [W1204 12:29:21.815906054 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3365266Z 2025-12-04T12:32:30.3366252Z [W1204 12:29:36.445939961 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3367499Z 2025-12-04T12:32:30.3368477Z [W1204 12:29:36.450772443 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3369877Z 2025-12-04T12:32:30.3370915Z [W1204 12:29:36.450986916 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3372260Z 2025-12-04T12:32:30.3373233Z [W1204 12:29:36.451639076 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3374469Z 2025-12-04T12:32:30.3375453Z [W1204 12:29:36.451817116 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3376700Z 2025-12-04T12:32:30.3377691Z [W1204 12:29:36.452442465 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3378926Z 2025-12-04T12:32:30.3379910Z [W1204 12:29:36.452613794 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3381158Z 2025-12-04T12:32:30.3382029Z W1204 12:29:38.942000 143410 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T12:32:30.3384130Z [W1204 12:29:39.300109328 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3385380Z 2025-12-04T12:32:30.3386344Z [W1204 12:29:39.301180919 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3387580Z 2025-12-04T12:32:30.3388575Z [W1204 12:29:39.301792548 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3389812Z 2025-12-04T12:32:30.3390800Z [W1204 12:29:39.301983264 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3392047Z 2025-12-04T12:32:30.3393015Z [W1204 12:29:39.302422041 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3394274Z 2025-12-04T12:32:30.3395247Z [W1204 12:29:39.302596007 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3396478Z 2025-12-04T12:32:30.3397320Z [W1204 12:29:39.303154662 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3398368Z 2025-12-04T12:32:30.3399324Z [W1204 12:29:39.303325456 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3400564Z 2025-12-04T12:32:30.3400791Z ('RERUN', {'yellow': True}) [22.1953s] [100%] 2025-12-04T12:32:30.3402317Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs ('RERUN', {'yellow': True}) [0.0124s] [100%] 2025-12-04T12:32:30.3404779Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs FAILED [0.0108s] [100%] 2025-12-04T12:32:30.3406019Z 2025-12-04T12:32:30.3406274Z ==================================== RERUNS ==================================== 2025-12-04T12:32:30.3407183Z _______________ TestInvokeSubgraphCompile.test_ac_rng_cudagraphs _______________ 2025-12-04T12:32:30.3408712Z torch._dynamo.exc.ObservedRuntimeError: raised exception ExceptionVariable() 2025-12-04T12:32:30.3409700Z 2025-12-04T12:32:30.3410209Z The above exception was the direct cause of the following exception: 2025-12-04T12:32:30.3410820Z 2025-12-04T12:32:30.3411124Z Traceback (most recent call last): 2025-12-04T12:32:30.3412423Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 1924, in test_ac_rng_cudagraphs 2025-12-04T12:32:30.3413711Z res = torch.compile( 2025-12-04T12:32:30.3414854Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 936, in compile_wrapper 2025-12-04T12:32:30.3418021Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-12-04T12:32:30.3418946Z torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3420593Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3423346Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3426106Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3427614Z 2025-12-04T12:32:30.3428665Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3430050Z 2025-12-04T12:32:30.3431047Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3432185Z 2025-12-04T12:32:30.3432364Z from user code: 2025-12-04T12:32:30.3433680Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3435725Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3436513Z 2025-12-04T12:32:30.3437549Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3438815Z 2025-12-04T12:32:30.3438823Z 2025-12-04T12:32:30.3439140Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3440606Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3441659Z 2025-12-04T12:32:30.3441956Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3442589Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3444182Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.3445667Z if out == self.unknown_value: 2025-12-04T12:32:30.3446622Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3447582Z warnings.warn( 2025-12-04T12:32:30.3448480Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3449456Z warnings.warn( 2025-12-04T12:32:30.3449910Z _______________ TestInvokeSubgraphCompile.test_ac_rng_cudagraphs _______________ 2025-12-04T12:32:30.3450737Z torch._dynamo.exc.ObservedRuntimeError: raised exception ExceptionVariable() 2025-12-04T12:32:30.3451422Z 2025-12-04T12:32:30.3451671Z The above exception was the direct cause of the following exception: 2025-12-04T12:32:30.3452070Z 2025-12-04T12:32:30.3452286Z Traceback (most recent call last): 2025-12-04T12:32:30.3453056Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 1924, in test_ac_rng_cudagraphs 2025-12-04T12:32:30.3453822Z res = torch.compile( 2025-12-04T12:32:30.3454509Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 936, in compile_wrapper 2025-12-04T12:32:30.3455460Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-12-04T12:32:30.3456000Z torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3457078Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3458774Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3460456Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3461309Z 2025-12-04T12:32:30.3461921Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3462805Z 2025-12-04T12:32:30.3463704Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3464838Z 2025-12-04T12:32:30.3464985Z from user code: 2025-12-04T12:32:30.3465894Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3466967Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3467402Z 2025-12-04T12:32:30.3468117Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3468974Z 2025-12-04T12:32:30.3468980Z 2025-12-04T12:32:30.3469194Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3470188Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3471286Z 2025-12-04T12:32:30.3471739Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3472782Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3475780Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.3478646Z if out == self.unknown_value: 2025-12-04T12:32:30.3480462Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3482263Z warnings.warn( 2025-12-04T12:32:30.3483943Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3485832Z warnings.warn( 2025-12-04T12:32:30.3486396Z =================================== FAILURES =================================== 2025-12-04T12:32:30.3487465Z _______________ TestInvokeSubgraphCompile.test_ac_rng_cudagraphs _______________ 2025-12-04T12:32:30.3489093Z torch._dynamo.exc.ObservedRuntimeError: raised exception ExceptionVariable() 2025-12-04T12:32:30.3490193Z 2025-12-04T12:32:30.3490664Z The above exception was the direct cause of the following exception: 2025-12-04T12:32:30.3491641Z 2025-12-04T12:32:30.3491878Z Traceback (most recent call last): 2025-12-04T12:32:30.3493325Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 1924, in test_ac_rng_cudagraphs 2025-12-04T12:32:30.3494777Z res = torch.compile( 2025-12-04T12:32:30.3496074Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 936, in compile_wrapper 2025-12-04T12:32:30.3497876Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-12-04T12:32:30.3498955Z torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3500981Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3504333Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3507816Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3509531Z 2025-12-04T12:32:30.3510710Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3512176Z 2025-12-04T12:32:30.3513205Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3514505Z 2025-12-04T12:32:30.3514686Z from user code: 2025-12-04T12:32:30.3516195Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3518257Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3519120Z 2025-12-04T12:32:30.3520532Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3522234Z 2025-12-04T12:32:30.3522243Z 2025-12-04T12:32:30.3522648Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3524460Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3525878Z 2025-12-04T12:32:30.3526409Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3527600Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3530717Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.3533711Z if out == self.unknown_value: 2025-12-04T12:32:30.3535560Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3537471Z warnings.warn( 2025-12-04T12:32:30.3539200Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3541123Z warnings.warn( 2025-12-04T12:32:30.3543111Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-6b7b23216f179887.xml - 2025-12-04T12:32:30.3545399Z =========================== short test summary info ============================ 2025-12-04T12:32:30.3547539Z FAILED [0.0108s] higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs - torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3550623Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3553969Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3557502Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3559222Z 2025-12-04T12:32:30.3578592Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3580142Z 2025-12-04T12:32:30.3581193Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3582501Z 2025-12-04T12:32:30.3582696Z from user code: 2025-12-04T12:32:30.3584210Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3586280Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3587146Z 2025-12-04T12:32:30.3588568Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3590259Z 2025-12-04T12:32:30.3590268Z 2025-12-04T12:32:30.3590678Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3592508Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3593932Z 2025-12-04T12:32:30.3594444Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3595567Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:32:30.3596554Z ================== 1 failed, 72 deselected, 2 rerun in 22.26s ================== 2025-12-04T12:32:30.3597371Z Got exit code 1 2025-12-04T12:32:30.3597857Z Retrying single test... 2025-12-04T12:32:30.3599535Z Test results will be stored in test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-6a8f6de3d1c85451.xml 2025-12-04T12:32:30.3601447Z ============================= test session starts ============================== 2025-12-04T12:32:30.3602685Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:32:30.3603839Z cachedir: .pytest_cache 2025-12-04T12:32:30.3605385Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:32:30.3606749Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:32:30.3607367Z configfile: pytest.ini 2025-12-04T12:32:30.3608758Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:32:30.3610479Z collecting ... collected 73 items / 72 deselected / 1 selected 2025-12-04T12:32:30.3612456Z stepcurrent: skipping 5 already run items. Running only test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs 2025-12-04T12:32:30.3614135Z Running 1 items in this shard 2025-12-04T12:32:30.3614509Z 2025-12-04T12:32:30.3616374Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs [W1204 12:29:54.237099607 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3618494Z 2025-12-04T12:32:30.3619654Z [W1204 12:30:10.837492797 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3620925Z 2025-12-04T12:32:30.3621890Z [W1204 12:30:10.842192586 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3623053Z 2025-12-04T12:32:30.3624117Z [W1204 12:30:10.842397468 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3625462Z 2025-12-04T12:32:30.3626487Z [W1204 12:30:10.843013147 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3627740Z 2025-12-04T12:32:30.3628739Z [W1204 12:30:10.843191541 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3630043Z 2025-12-04T12:32:30.3630906Z [W1204 12:30:10.843838042 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3632091Z 2025-12-04T12:32:30.3633049Z [W1204 12:30:10.844008941 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3634256Z 2025-12-04T12:32:30.3634987Z W1204 12:30:12.316000 143585 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T12:32:30.3637050Z [W1204 12:30:12.680086387 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3638263Z 2025-12-04T12:32:30.3638971Z [W1204 12:30:12.681123567 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3639635Z 2025-12-04T12:32:30.3640169Z [W1204 12:30:12.681709060 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3640822Z 2025-12-04T12:32:30.3641347Z [W1204 12:30:12.681897099 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3641999Z 2025-12-04T12:32:30.3642512Z [W1204 12:30:12.682322438 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3643175Z 2025-12-04T12:32:30.3643689Z [W1204 12:30:12.682491364 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3644350Z 2025-12-04T12:32:30.3644861Z [W1204 12:30:12.683044300 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3645573Z 2025-12-04T12:32:30.3646509Z [W1204 12:30:12.683216334 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3647687Z 2025-12-04T12:32:30.3647935Z ('RERUN', {'yellow': True}) [22.0903s] [100%] 2025-12-04T12:32:30.3649413Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs ('RERUN', {'yellow': True}) [0.0116s] [100%] 2025-12-04T12:32:30.3651852Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs FAILED [0.0102s] [100%] 2025-12-04T12:32:30.3652973Z 2025-12-04T12:32:30.3653239Z ==================================== RERUNS ==================================== 2025-12-04T12:32:30.3654132Z _______________ TestInvokeSubgraphCompile.test_ac_rng_cudagraphs _______________ 2025-12-04T12:32:30.3655676Z torch._dynamo.exc.ObservedRuntimeError: raised exception ExceptionVariable() 2025-12-04T12:32:30.3656614Z 2025-12-04T12:32:30.3657025Z The above exception was the direct cause of the following exception: 2025-12-04T12:32:30.3657610Z 2025-12-04T12:32:30.3657820Z Traceback (most recent call last): 2025-12-04T12:32:30.3659133Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 1924, in test_ac_rng_cudagraphs 2025-12-04T12:32:30.3660506Z res = torch.compile( 2025-12-04T12:32:30.3661372Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 936, in compile_wrapper 2025-12-04T12:32:30.3662250Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-12-04T12:32:30.3662910Z torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3663985Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3665674Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3667362Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3668222Z 2025-12-04T12:32:30.3668842Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3669584Z 2025-12-04T12:32:30.3670117Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3670789Z 2025-12-04T12:32:30.3670893Z from user code: 2025-12-04T12:32:30.3671688Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3672757Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3673194Z 2025-12-04T12:32:30.3673912Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3674778Z 2025-12-04T12:32:30.3674782Z 2025-12-04T12:32:30.3674997Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3675936Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3676661Z 2025-12-04T12:32:30.3676943Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3677575Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3679161Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.3680640Z if out == self.unknown_value: 2025-12-04T12:32:30.3681596Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3682559Z warnings.warn( 2025-12-04T12:32:30.3683458Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3684437Z warnings.warn( 2025-12-04T12:32:30.3684901Z _______________ TestInvokeSubgraphCompile.test_ac_rng_cudagraphs _______________ 2025-12-04T12:32:30.3685738Z torch._dynamo.exc.ObservedRuntimeError: raised exception ExceptionVariable() 2025-12-04T12:32:30.3686308Z 2025-12-04T12:32:30.3686554Z The above exception was the direct cause of the following exception: 2025-12-04T12:32:30.3686946Z 2025-12-04T12:32:30.3687068Z Traceback (most recent call last): 2025-12-04T12:32:30.3687867Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 1924, in test_ac_rng_cudagraphs 2025-12-04T12:32:30.3688629Z res = torch.compile( 2025-12-04T12:32:30.3689314Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 936, in compile_wrapper 2025-12-04T12:32:30.3690183Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-12-04T12:32:30.3690758Z torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3691981Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3693680Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3695369Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3696227Z 2025-12-04T12:32:30.3696841Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3697578Z 2025-12-04T12:32:30.3698106Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3698781Z 2025-12-04T12:32:30.3698879Z from user code: 2025-12-04T12:32:30.3699676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3700743Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3701177Z 2025-12-04T12:32:30.3701891Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3702752Z 2025-12-04T12:32:30.3702756Z 2025-12-04T12:32:30.3702971Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3703911Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3704923Z 2025-12-04T12:32:30.3705350Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3706092Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3707669Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.3709143Z if out == self.unknown_value: 2025-12-04T12:32:30.3710099Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3711078Z warnings.warn( 2025-12-04T12:32:30.3711963Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3712936Z warnings.warn( 2025-12-04T12:32:30.3713248Z =================================== FAILURES =================================== 2025-12-04T12:32:30.3713820Z _______________ TestInvokeSubgraphCompile.test_ac_rng_cudagraphs _______________ 2025-12-04T12:32:30.3714667Z torch._dynamo.exc.ObservedRuntimeError: raised exception ExceptionVariable() 2025-12-04T12:32:30.3715232Z 2025-12-04T12:32:30.3715478Z The above exception was the direct cause of the following exception: 2025-12-04T12:32:30.3715855Z 2025-12-04T12:32:30.3715990Z Traceback (most recent call last): 2025-12-04T12:32:30.3716834Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 1924, in test_ac_rng_cudagraphs 2025-12-04T12:32:30.3717614Z res = torch.compile( 2025-12-04T12:32:30.3718307Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 936, in compile_wrapper 2025-12-04T12:32:30.3719177Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-12-04T12:32:30.3719827Z torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3720910Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3722601Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3724289Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3725150Z 2025-12-04T12:32:30.3725749Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3726499Z 2025-12-04T12:32:30.3727023Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3727696Z 2025-12-04T12:32:30.3727795Z from user code: 2025-12-04T12:32:30.3728589Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3729645Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3730092Z 2025-12-04T12:32:30.3730808Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3731769Z 2025-12-04T12:32:30.3731774Z 2025-12-04T12:32:30.3731995Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3732940Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3733670Z 2025-12-04T12:32:30.3733950Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3734576Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3736165Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.3737629Z if out == self.unknown_value: 2025-12-04T12:32:30.3738580Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3739539Z warnings.warn( 2025-12-04T12:32:30.3740428Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T12:32:30.3741396Z warnings.warn( 2025-12-04T12:32:30.3742413Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-6a8f6de3d1c85451.xml - 2025-12-04T12:32:30.3743569Z =========================== short test summary info ============================ 2025-12-04T12:32:30.3744601Z FAILED [0.0102s] higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs - torch._dynamo.exc.Unsupported: Observed exception 2025-12-04T12:32:30.3746209Z Explanation: Dynamo found no exception handler at the top-level compiled function when encountering an exception. Exception will propagate outside the compiled region. 2025-12-04T12:32:30.3747893Z Hint: Dynamo has detected that tracing the code will result in an error when running in eager. Please double check that your code doesn't contain a similar error when actually running eager/uncompiled. 2025-12-04T12:32:30.3749594Z Hint: It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you encounter this graph break often and it is causing performance issues. 2025-12-04T12:32:30.3750542Z 2025-12-04T12:32:30.3751147Z Developer debug context: raised exception RuntimeError([ConstantVariable(str: 'invoke_subgraph should not be called directly in Dynamo')]) 2025-12-04T12:32:30.3751900Z 2025-12-04T12:32:30.3752425Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0088.html 2025-12-04T12:32:30.3753084Z 2025-12-04T12:32:30.3753195Z from user code: 2025-12-04T12:32:30.3753987Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 124, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3755039Z raise RuntimeError("invoke_subgraph should not be called directly in Dynamo") 2025-12-04T12:32:30.3755483Z 2025-12-04T12:32:30.3756196Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-12-04T12:32:30.3757056Z 2025-12-04T12:32:30.3757063Z 2025-12-04T12:32:30.3757277Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3758213Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_ac_rng_cudagraphs 2025-12-04T12:32:30.3758930Z 2025-12-04T12:32:30.3759195Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3759789Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:32:30.3760311Z ================== 1 failed, 72 deselected, 2 rerun in 22.15s ================== 2025-12-04T12:32:30.3760763Z Got exit code 1 2025-12-04T12:32:30.3761434Z FAILED CONSISTENTLY: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs 2025-12-04T12:32:30.3762478Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:32:30.3763715Z Test results will be stored in test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-87a41da56f0268c7.xml 2025-12-04T12:32:30.3764698Z ============================= test session starts ============================== 2025-12-04T12:32:30.3765364Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:32:30.3765960Z cachedir: .pytest_cache 2025-12-04T12:32:30.3766677Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:32:30.3767474Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:32:30.3767818Z configfile: pytest.ini 2025-12-04T12:32:30.3768601Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:32:30.3769560Z collecting ... collected 73 items / 6 deselected / 67 selected 2025-12-04T12:32:30.3770060Z stepcurrent: skipping 6 already run items. 2025-12-04T12:32:30.3770440Z Running 67 items in this shard 2025-12-04T12:32:30.3770661Z 2025-12-04T12:32:30.3771235Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_auto_functionalize PASSED [2.0708s] [ 1%] 2025-12-04T12:32:30.3772357Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_autograd_function PASSED [0.1866s] [ 2%] 2025-12-04T12:32:30.3773600Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_errors_under_training PASSED [2.1953s] [ 4%] 2025-12-04T12:32:30.3774874Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_buffer_mutation_works_under_no_grad PASSED [2.0354s] [ 5%] 2025-12-04T12:32:30.3776049Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_bwd_partitioning PASSED [0.1716s] [ 7%] 2025-12-04T12:32:30.3777161Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_complex PASSED [0.8539s] [ 8%] 2025-12-04T12:32:30.3778217Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_const_tensor PASSED [0.1923s] [ 10%] 2025-12-04T12:32:30.3779207Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dce PASSED [0.0800s] [ 11%] 2025-12-04T12:32:30.3780209Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dce_recursive PASSED [0.0627s] [ 13%] 2025-12-04T12:32:30.3781241Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dedupe PASSED [0.1755s] [ 14%] 2025-12-04T12:32:30.3782339Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_strides_in_backward PASSED [2.8879s] [ 16%] 2025-12-04T12:32:30.3783481Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_different_symint PASSED [3.0638s] [ 17%] 2025-12-04T12:32:30.3784863Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_differing_strides_for_grad_outs SKIPPED [0.0004s] (FunctionCtx ops is not cacheable right now) [ 19%] 2025-12-04T12:32:30.3786174Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_div PASSED [0.8898s] [ 20%] 2025-12-04T12:32:30.3787237Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph PASSED [2.5107s] [ 22%] 2025-12-04T12:32:30.3788456Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dropout_checks_joint_graph_inference PASSED [1.0756s] [ 23%] 2025-12-04T12:32:30.3789591Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_dynamic PASSED [1.0673s] [ 25%] 2025-12-04T12:32:30.3790705Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fail_with_direct_invoke_subgraph PASSED [0.0101s] [ 26%] 2025-12-04T12:32:30.3791879Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_fake_tensor_checking PASSED [0.1880s] [ 28%] 2025-12-04T12:32:30.3792946Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema PASSED [0.2400s] [ 29%] 2025-12-04T12:32:30.3794062Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_gen_schema_with_buffer_mutation PASSED [0.0832s] [ 31%] 2025-12-04T12:32:30.3795218Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_grad_accuracy_check XFAIL [0.2291s] [ 32%] 2025-12-04T12:32:30.3796328Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_input_aliasing PASSED [0.0182s] [ 34%] 2025-12-04T12:32:30.3797411Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation PASSED [0.7647s] [ 35%] 2025-12-04T12:32:30.3798544Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_inference_mode PASSED [0.1167s] [ 37%] 2025-12-04T12:32:30.3799745Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times PASSED [1.4379s] [ 38%] 2025-12-04T12:32:30.3801058Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_mutation_mutiple_times_fake_tensor_cahche_hit PASSED [0.4821s] [ 40%] 2025-12-04T12:32:30.3802333Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_input_output_aliasing PASSED [0.0150s] [ 41%] 2025-12-04T12:32:30.3803416Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_kwargs_only PASSED [0.7078s] [ 43%] 2025-12-04T12:32:30.3804438Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_list PASSED [1.8404s] [ 44%] 2025-12-04T12:32:30.3805664Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_mod_attr_aliasing PASSED [0.7750s] [ 46%] 2025-12-04T12:32:30.3806695Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module PASSED [0.1693s] [ 47%] 2025-12-04T12:32:30.3807712Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_forward PASSED [2.1295s] [ 49%] 2025-12-04T12:32:30.3808916Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_module_method PASSED [0.2505s] [ 50%] 2025-12-04T12:32:30.3810044Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_nonlocal_list_mutation_hidden XFAIL [0.0178s] [ 52%] 2025-12-04T12:32:30.3811247Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_nonlocal_update PASSED [1.8258s] [ 53%] 2025-12-04T12:32:30.3812308Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_normalize_gm PASSED [0.4437s] [ 55%] 2025-12-04T12:32:30.3813395Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_output_output_aliasing PASSED [0.0141s] [ 56%] 2025-12-04T12:32:30.3814513Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_pending_unbacked PASSED [0.0535s] [ 58%] 2025-12-04T12:32:30.3815629Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_output_strides PASSED [0.8811s] [ 59%] 2025-12-04T12:32:30.3816765Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_preserves_strides PASSED [0.4224s] [ 61%] 2025-12-04T12:32:30.3817898Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_redundant_compile_region PASSED [0.1540s] [ 62%] 2025-12-04T12:32:30.3818998Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none PASSED [0.3920s] [ 64%] 2025-12-04T12:32:30.3820061Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_none_from_fwd PASSED [1.6083s] [ 65%] 2025-12-04T12:32:30.3821127Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_return_size PASSED [3.1894s] [ 67%] 2025-12-04T12:32:30.3822212Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa ('RERUN', {'yellow': True}) [0.0026s] [ 68%] 2025-12-04T12:32:30.3823350Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa ('RERUN', {'yellow': True}) [0.0017s] [ 68%] 2025-12-04T12:32:30.3824402Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa FAILED [0.0016s] [ 68%] 2025-12-04T12:32:30.3824958Z 2025-12-04T12:32:30.3825094Z ==================================== RERUNS ==================================== 2025-12-04T12:32:30.3825624Z _____________________ TestInvokeSubgraphCompile.test_sdpa ______________________ 2025-12-04T12:32:30.3826127Z Traceback (most recent call last): 2025-12-04T12:32:30.3826800Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 577, in test_sdpa 2025-12-04T12:32:30.3827473Z ref = fn(q, k, v) 2025-12-04T12:32:30.3828038Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 565, in fn 2025-12-04T12:32:30.3828664Z return gn(q, k, v) 2025-12-04T12:32:30.3829348Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 173, in inner 2025-12-04T12:32:30.3830223Z return invoke_subgraph_placeholder(inner_func, *args, **kwargs) 2025-12-04T12:32:30.3831198Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 154, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3832065Z return func(*args, **kwargs) 2025-12-04T12:32:30.3832671Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 557, in gn 2025-12-04T12:32:30.3833406Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3833973Z RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.3834294Z 2025-12-04T12:32:30.3834507Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3835361Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.3836013Z 2025-12-04T12:32:30.3836287Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3836978Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3838563Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.3840086Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3841635Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.3843183Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3844678Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.3846183Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3847954Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.3849722Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3851282Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.3852783Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3854300Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.3855808Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3856384Z _____________________ TestInvokeSubgraphCompile.test_sdpa ______________________ 2025-12-04T12:32:30.3856893Z Traceback (most recent call last): 2025-12-04T12:32:30.3857555Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 577, in test_sdpa 2025-12-04T12:32:30.3858227Z ref = fn(q, k, v) 2025-12-04T12:32:30.3858782Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 565, in fn 2025-12-04T12:32:30.3859411Z return gn(q, k, v) 2025-12-04T12:32:30.3860087Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 173, in inner 2025-12-04T12:32:30.3860954Z return invoke_subgraph_placeholder(inner_func, *args, **kwargs) 2025-12-04T12:32:30.3861937Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 154, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3862802Z return func(*args, **kwargs) 2025-12-04T12:32:30.3863406Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 557, in gn 2025-12-04T12:32:30.3864133Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3864683Z RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.3864997Z 2025-12-04T12:32:30.3865213Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3866062Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.3866715Z 2025-12-04T12:32:30.3866975Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3867651Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3869211Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.3870719Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3872263Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.3873816Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3875309Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.3876813Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3878570Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.3880341Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3881830Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.3883331Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3884838Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.3886350Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3886818Z =================================== FAILURES =================================== 2025-12-04T12:32:30.3887359Z _____________________ TestInvokeSubgraphCompile.test_sdpa ______________________ 2025-12-04T12:32:30.3887861Z Traceback (most recent call last): 2025-12-04T12:32:30.3888528Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 577, in test_sdpa 2025-12-04T12:32:30.3889205Z ref = fn(q, k, v) 2025-12-04T12:32:30.3889766Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 565, in fn 2025-12-04T12:32:30.3890394Z return gn(q, k, v) 2025-12-04T12:32:30.3891153Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 173, in inner 2025-12-04T12:32:30.3892027Z return invoke_subgraph_placeholder(inner_func, *args, **kwargs) 2025-12-04T12:32:30.3892998Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 154, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3893862Z return func(*args, **kwargs) 2025-12-04T12:32:30.3894467Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 557, in gn 2025-12-04T12:32:30.3895236Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3895746Z RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.3896061Z 2025-12-04T12:32:30.3896271Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3897124Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.3897836Z 2025-12-04T12:32:30.3898103Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3898734Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.3900270Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.3901788Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3903350Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.3905101Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3906603Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.3908103Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3909878Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.3911643Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3913128Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.3914627Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3916136Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.3917644Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3918813Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-87a41da56f0268c7.xml - 2025-12-04T12:32:30.3919965Z =========================== short test summary info ============================ 2025-12-04T12:32:30.3920928Z FAILED [0.0016s] higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa - RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.3921710Z 2025-12-04T12:32:30.3921928Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.3922775Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.3923431Z 2025-12-04T12:32:30.3923693Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.3924271Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:32:30.3924836Z == 1 failed, 42 passed, 1 skipped, 6 deselected, 2 xfailed, 2 rerun in 38.12s == 2025-12-04T12:32:30.3925313Z Got exit code 1 2025-12-04T12:32:30.3925636Z Retrying single test... 2025-12-04T12:32:30.3926481Z Test results will be stored in test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-0d645e9491303b3e.xml 2025-12-04T12:32:30.3927444Z ============================= test session starts ============================== 2025-12-04T12:32:30.3928084Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:32:30.3928758Z cachedir: .pytest_cache 2025-12-04T12:32:30.3929497Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:32:30.3930263Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:32:30.3930603Z configfile: pytest.ini 2025-12-04T12:32:30.3931446Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:32:30.3932378Z collecting ... collected 73 items / 72 deselected / 1 selected 2025-12-04T12:32:30.3933319Z stepcurrent: skipping 51 already run items. Running only test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa 2025-12-04T12:32:30.3934163Z Running 1 items in this shard 2025-12-04T12:32:30.3934369Z 2025-12-04T12:32:30.3935308Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa [W1204 12:31:15.602357647 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3936370Z 2025-12-04T12:32:30.3936510Z ('RERUN', {'yellow': True}) [16.5737s] [100%] 2025-12-04T12:32:30.3937683Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa [W1204 12:31:30.559698026 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3938750Z 2025-12-04T12:32:30.3938874Z ('RERUN', {'yellow': True}) [0.0024s] [100%] 2025-12-04T12:32:30.3940051Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa [W1204 12:31:30.563440520 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.3941104Z 2025-12-04T12:32:30.3941207Z FAILED [0.0019s] [100%] 2025-12-04T12:32:30.3941377Z 2025-12-04T12:32:30.3941514Z ==================================== RERUNS ==================================== 2025-12-04T12:32:30.3942049Z _____________________ TestInvokeSubgraphCompile.test_sdpa ______________________ 2025-12-04T12:32:30.3942557Z Traceback (most recent call last): 2025-12-04T12:32:30.3943223Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 577, in test_sdpa 2025-12-04T12:32:30.3943889Z ref = fn(q, k, v) 2025-12-04T12:32:30.3944449Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 565, in fn 2025-12-04T12:32:30.3945079Z return gn(q, k, v) 2025-12-04T12:32:30.3945752Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 173, in inner 2025-12-04T12:32:30.3946637Z return invoke_subgraph_placeholder(inner_func, *args, **kwargs) 2025-12-04T12:32:30.3947633Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 154, in invoke_subgraph_placeholder 2025-12-04T12:32:30.3948521Z return func(*args, **kwargs) 2025-12-04T12:32:30.3949134Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 557, in gn 2025-12-04T12:32:30.3949893Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.3950430Z RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.3951502Z Exception raised from select_sdp_backend at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:962 (most recent call first): 2025-12-04T12:32:30.3952488Z C++ CapturedTraceback: 2025-12-04T12:32:30.3954062Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T12:32:30.3956027Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T12:32:30.3957063Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T12:32:30.3957719Z #7 sdp::select_sdp_backend(sdp::sdp_params const&) from :0 2025-12-04T12:32:30.3958706Z #8 at::native::_fused_sdp_choice_cuda(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.3960208Z #9 at::native::scaled_dot_product_attention(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.3964952Z #10 c10::impl::wrap_kernel_functor_unboxed_ const&, double, bool, std::optional, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__scaled_dot_product_attention>, at::Tensor, c10::guts::typelist::typelist const&, double, bool, std::optional, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from RegisterCompositeImplicitAutograd_0.cpp:0 2025-12-04T12:32:30.3969680Z #11 at::_ops::scaled_dot_product_attention::call(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.3971079Z #12 torch::autograd::THPVariable_scaled_dot_product_attention(_object*, _object*, _object*) from python_nn_functions.cpp:0 2025-12-04T12:32:30.3972049Z #13 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T12:32:30.3972832Z #14 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.3973692Z #15 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.3974627Z #16 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3975419Z #17 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.3976190Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3976968Z #19 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.3977745Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3978676Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.3979596Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3980529Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.3981455Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3982237Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.3983043Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3983971Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.3984897Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3985872Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.3986848Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3987776Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.3988701Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3989635Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.3990555Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3991372Z #35 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T12:32:30.3992068Z #36 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.3992834Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3993711Z #38 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.3994518Z #39 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.3995270Z #40 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.3996003Z #41 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.3996866Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.3997797Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.3998733Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.3999652Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4000442Z #46 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4001226Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4002143Z #48 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4003074Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4004005Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4005115Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4005982Z #52 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4006790Z #53 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4007545Z #54 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4008269Z #55 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T12:32:30.4008931Z #56 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4009709Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4010638Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4011714Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4012632Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4013564Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4014346Z #62 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4015192Z #63 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4016163Z #64 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4017093Z #65 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4018021Z #66 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4018940Z #67 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4019719Z #68 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4020498Z #69 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4021426Z #70 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4022346Z #71 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4023276Z #72 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4024202Z #73 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4025080Z #74 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4025872Z #75 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4026621Z #76 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4027376Z #77 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4028226Z #78 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4029164Z #79 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4029946Z #80 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4030727Z #81 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4031644Z #82 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4032576Z #83 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4033504Z #84 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4034432Z #85 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4035290Z #86 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4036095Z #87 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4036850Z #88 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4037583Z #89 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4038443Z #90 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4039377Z #91 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4040347Z #92 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4041266Z #93 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4042200Z #94 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4043130Z #95 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4043981Z #96 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4044804Z #97 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4045740Z #98 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4046677Z #99 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4047627Z #100 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4048569Z #101 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4049462Z #102 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4050288Z #103 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4051108Z #104 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4051875Z #105 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4052751Z #106 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4053699Z #107 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4054631Z #108 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4055575Z #109 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4056516Z #110 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4057456Z #111 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4058267Z #112 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T12:32:30.4059016Z #113 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T12:32:30.4059746Z #114 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T12:32:30.4060447Z #115 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T12:32:30.4061220Z #116 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T12:32:30.4062051Z #117 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T12:32:30.4062824Z #118 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T12:32:30.4063531Z #119 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T12:32:30.4064217Z #120 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T12:32:30.4064836Z #121 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T12:32:30.4065275Z #122 _start from ??:0 2025-12-04T12:32:30.4065570Z #123 from ??:0 2025-12-04T12:32:30.4065816Z 2025-12-04T12:32:30.4065822Z 2025-12-04T12:32:30.4066036Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.4066907Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.4067565Z 2025-12-04T12:32:30.4067896Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.4068522Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4070069Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4071670Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4073275Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4074825Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4076345Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4077852Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4079641Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4081420Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4082924Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4084442Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4085971Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4087496Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4088968Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.4090454Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4091146Z _____________________ TestInvokeSubgraphCompile.test_sdpa ______________________ 2025-12-04T12:32:30.4091682Z Traceback (most recent call last): 2025-12-04T12:32:30.4092356Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 577, in test_sdpa 2025-12-04T12:32:30.4093057Z ref = fn(q, k, v) 2025-12-04T12:32:30.4093635Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 565, in fn 2025-12-04T12:32:30.4094274Z return gn(q, k, v) 2025-12-04T12:32:30.4094972Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 173, in inner 2025-12-04T12:32:30.4095859Z return invoke_subgraph_placeholder(inner_func, *args, **kwargs) 2025-12-04T12:32:30.4096859Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 154, in invoke_subgraph_placeholder 2025-12-04T12:32:30.4097730Z return func(*args, **kwargs) 2025-12-04T12:32:30.4098355Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 557, in gn 2025-12-04T12:32:30.4099106Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4099625Z RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.4100732Z Exception raised from select_sdp_backend at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:962 (most recent call first): 2025-12-04T12:32:30.4101732Z C++ CapturedTraceback: 2025-12-04T12:32:30.4103243Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T12:32:30.4105605Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T12:32:30.4106558Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T12:32:30.4107224Z #7 sdp::select_sdp_backend(sdp::sdp_params const&) from :0 2025-12-04T12:32:30.4108206Z #8 at::native::_fused_sdp_choice_cuda(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4109701Z #9 at::native::scaled_dot_product_attention(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4114453Z #10 c10::impl::wrap_kernel_functor_unboxed_ const&, double, bool, std::optional, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__scaled_dot_product_attention>, at::Tensor, c10::guts::typelist::typelist const&, double, bool, std::optional, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from RegisterCompositeImplicitAutograd_0.cpp:0 2025-12-04T12:32:30.4119175Z #11 at::_ops::scaled_dot_product_attention::call(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4120505Z #12 torch::autograd::THPVariable_scaled_dot_product_attention(_object*, _object*, _object*) from python_nn_functions.cpp:0 2025-12-04T12:32:30.4121462Z #13 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T12:32:30.4122247Z #14 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4123117Z #15 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4124039Z #16 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4124830Z #17 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4125618Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4126402Z #19 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4127176Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4128106Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4129036Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4129964Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4130926Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4131792Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4132571Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4133538Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4134542Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4135480Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4136408Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4137326Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4138260Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4139190Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4140121Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4140928Z #35 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T12:32:30.4141635Z #36 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4142423Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4143299Z #38 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4144096Z #39 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4144854Z #40 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4145608Z #41 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4146459Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4147396Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4148326Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4149270Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4150040Z #46 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4150825Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4151755Z #48 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4152693Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4153606Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4154531Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4155400Z #52 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4156206Z #53 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4156939Z #54 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4157649Z #55 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T12:32:30.4158319Z #56 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4159122Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4160050Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4160981Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4161910Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4162912Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4163726Z #62 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4164509Z #63 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4165436Z #64 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4166358Z #65 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4167288Z #66 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4168219Z #67 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4168987Z #68 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4169767Z #69 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4170700Z #70 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4171725Z #71 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4172643Z #72 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4173576Z #73 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4174447Z #74 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4175255Z #75 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4175992Z #76 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4176747Z #77 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4177614Z #78 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4178545Z #79 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4179316Z #80 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4180094Z #81 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4181022Z #82 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4181939Z #83 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4182863Z #84 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4183791Z #85 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4184666Z #86 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4185456Z #87 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4186204Z #88 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4186947Z #89 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4187847Z #90 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4188766Z #91 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4189692Z #92 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4190623Z #93 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4191624Z #94 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4192570Z #95 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4193357Z #96 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4194139Z #97 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4195059Z #98 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4195985Z #99 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4196925Z #100 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4197873Z #101 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4198751Z #102 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4199567Z #103 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4200328Z #104 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4201082Z #105 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4201946Z #106 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4202896Z #107 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4203837Z #108 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4204977Z #109 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4205921Z #110 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4206869Z #111 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4207693Z #112 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T12:32:30.4208429Z #113 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T12:32:30.4209163Z #114 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T12:32:30.4209869Z #115 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T12:32:30.4210657Z #116 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T12:32:30.4211566Z #117 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T12:32:30.4212337Z #118 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T12:32:30.4213058Z #119 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T12:32:30.4213750Z #120 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T12:32:30.4214353Z #121 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T12:32:30.4214791Z #122 _start from ??:0 2025-12-04T12:32:30.4215093Z #123 from ??:0 2025-12-04T12:32:30.4215327Z 2025-12-04T12:32:30.4215332Z 2025-12-04T12:32:30.4215547Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.4216501Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.4217178Z 2025-12-04T12:32:30.4217447Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.4218087Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4219753Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4221297Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4222872Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4224443Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4225962Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4227484Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4229286Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4231071Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4232577Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4234079Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4235602Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4237128Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4238615Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.4240098Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4240646Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4242187Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4243703Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4245264Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4246814Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4248314Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4249853Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4251726Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4253570Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4255114Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4256630Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4258153Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4259681Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4260152Z =================================== FAILURES =================================== 2025-12-04T12:32:30.4260714Z _____________________ TestInvokeSubgraphCompile.test_sdpa ______________________ 2025-12-04T12:32:30.4261245Z Traceback (most recent call last): 2025-12-04T12:32:30.4261919Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 577, in test_sdpa 2025-12-04T12:32:30.4262617Z ref = fn(q, k, v) 2025-12-04T12:32:30.4263196Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 565, in fn 2025-12-04T12:32:30.4263840Z return gn(q, k, v) 2025-12-04T12:32:30.4264522Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 173, in inner 2025-12-04T12:32:30.4265411Z return invoke_subgraph_placeholder(inner_func, *args, **kwargs) 2025-12-04T12:32:30.4266409Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 154, in invoke_subgraph_placeholder 2025-12-04T12:32:30.4267276Z return func(*args, **kwargs) 2025-12-04T12:32:30.4267898Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 557, in gn 2025-12-04T12:32:30.4268650Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4269182Z RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.4270239Z Exception raised from select_sdp_backend at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:962 (most recent call first): 2025-12-04T12:32:30.4271241Z C++ CapturedTraceback: 2025-12-04T12:32:30.4272750Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T12:32:30.4274683Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T12:32:30.4275639Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T12:32:30.4276308Z #7 sdp::select_sdp_backend(sdp::sdp_params const&) from :0 2025-12-04T12:32:30.4277293Z #8 at::native::_fused_sdp_choice_cuda(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4278786Z #9 at::native::scaled_dot_product_attention(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4283626Z #10 c10::impl::wrap_kernel_functor_unboxed_ const&, double, bool, std::optional, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__scaled_dot_product_attention>, at::Tensor, c10::guts::typelist::typelist const&, double, bool, std::optional, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from RegisterCompositeImplicitAutograd_0.cpp:0 2025-12-04T12:32:30.4288413Z #11 at::_ops::scaled_dot_product_attention::call(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4289753Z #12 torch::autograd::THPVariable_scaled_dot_product_attention(_object*, _object*, _object*) from python_nn_functions.cpp:0 2025-12-04T12:32:30.4290702Z #13 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T12:32:30.4291581Z #14 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4292453Z #15 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4293394Z #16 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4294174Z #17 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4294960Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4295743Z #19 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4296525Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4297444Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4298380Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4299312Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4300230Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4301009Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4301787Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4302715Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4303632Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4304729Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4305665Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4306600Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4307516Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4308444Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4309375Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4310270Z #35 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T12:32:30.4310964Z #36 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4311745Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4312621Z #38 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4313492Z #39 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4314309Z #40 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4315062Z #41 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4315928Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4316847Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4317778Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4318708Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4319493Z #46 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4320267Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4321189Z #48 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4322100Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4323005Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4323929Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4324789Z #52 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4325583Z #53 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4326312Z #54 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4327016Z #55 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T12:32:30.4327683Z #56 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4328452Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4329362Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4330278Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4331288Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4332218Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4332978Z #62 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4333752Z #63 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4334674Z #64 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4335586Z #65 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4336505Z #66 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4337422Z #67 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4338227Z #68 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4338985Z #69 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4339898Z #70 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4340810Z #71 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4341782Z #72 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4342715Z #73 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4343571Z #74 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4344360Z #75 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4345091Z #76 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4345811Z #77 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4346657Z #78 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4347571Z #79 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4348336Z #80 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4349100Z #81 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4350012Z #82 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4350926Z #83 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4351834Z #84 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4352749Z #85 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4353608Z #86 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4354401Z #87 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4355133Z #88 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4355870Z #89 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4356718Z #90 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4357630Z #91 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4358553Z #92 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4359473Z #93 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4360390Z #94 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4361302Z #95 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4362074Z #96 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4362847Z #97 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4363765Z #98 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4364679Z #99 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4365605Z #100 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4366568Z #101 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4367448Z #102 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4368248Z #103 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4369002Z #104 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4369818Z #105 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4370705Z #106 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4371717Z #107 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4372656Z #108 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4373598Z #109 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4374525Z #110 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4375461Z #111 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4376270Z #112 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T12:32:30.4377010Z #113 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T12:32:30.4377726Z #114 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T12:32:30.4378419Z #115 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T12:32:30.4379194Z #116 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T12:32:30.4380015Z #117 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T12:32:30.4380767Z #118 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T12:32:30.4381471Z #119 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T12:32:30.4382150Z #120 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T12:32:30.4382742Z #121 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T12:32:30.4383169Z #122 _start from ??:0 2025-12-04T12:32:30.4383459Z #123 from ??:0 2025-12-04T12:32:30.4383686Z 2025-12-04T12:32:30.4383692Z 2025-12-04T12:32:30.4383911Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.4384427Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.4384433Z 2025-12-04T12:32:30.4384696Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.4384920Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4386109Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4386324Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4387558Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4387757Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4388933Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4389185Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4390638Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4390901Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4392105Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4392305Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4393484Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4393687Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4394823Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.4395032Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4395249Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4396423Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4396630Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4397848Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4398049Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4399222Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4399429Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4400876Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4401074Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4402240Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4402442Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4403627Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4403822Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4404905Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-0d645e9491303b3e.xml - 2025-12-04T12:32:30.4405091Z =========================== short test summary info ============================ 2025-12-04T12:32:30.4405758Z FAILED [0.0019s] higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa - RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.4406546Z Exception raised from select_sdp_backend at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:962 (most recent call first): 2025-12-04T12:32:30.4406736Z C++ CapturedTraceback: 2025-12-04T12:32:30.4408057Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T12:32:30.4408553Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T12:32:30.4408893Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T12:32:30.4409083Z #7 sdp::select_sdp_backend(sdp::sdp_params const&) from :0 2025-12-04T12:32:30.4409739Z #8 at::native::_fused_sdp_choice_cuda(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4410450Z #9 at::native::scaled_dot_product_attention(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4414437Z #10 c10::impl::wrap_kernel_functor_unboxed_ const&, double, bool, std::optional, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__scaled_dot_product_attention>, at::Tensor, c10::guts::typelist::typelist const&, double, bool, std::optional, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from RegisterCompositeImplicitAutograd_0.cpp:0 2025-12-04T12:32:30.4415158Z #11 at::_ops::scaled_dot_product_attention::call(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4415648Z #12 torch::autograd::THPVariable_scaled_dot_product_attention(_object*, _object*, _object*) from python_nn_functions.cpp:0 2025-12-04T12:32:30.4415977Z #13 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T12:32:30.4416278Z #14 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4416685Z #15 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4417070Z #16 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4417330Z #17 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4417709Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4417965Z #19 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4418335Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4418971Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4419337Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4419749Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4420145Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4420459Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4420833Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4421237Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4421608Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4422031Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4422402Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4422820Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4423190Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4423602Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4423986Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4424279Z #35 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T12:32:30.4424550Z #36 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4424924Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4425272Z #38 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4425594Z #39 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4425886Z #40 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4426190Z #41 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4426612Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4426984Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4427404Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4427777Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4428034Z #46 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4428413Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4428818Z #48 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4429203Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4429612Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4429981Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4430339Z #52 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4430644Z #53 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4430982Z #54 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4431255Z #55 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T12:32:30.4431513Z #56 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4431900Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4432364Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4432779Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4433195Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4433564Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4445296Z #62 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4445780Z #63 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4446196Z #64 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4446572Z #65 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4446987Z #66 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4447356Z #67 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4447623Z #68 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4447988Z #69 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4448393Z #70 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4448767Z #71 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4449165Z #72 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4449541Z #73 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4449891Z #74 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4450196Z #75 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4450494Z #76 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4450790Z #77 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4451307Z #78 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4451688Z #79 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4451944Z #80 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4452322Z #81 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4452727Z #82 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4453098Z #83 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4453512Z #84 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4453879Z #85 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4454234Z #86 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4454640Z #87 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4454930Z #88 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4455240Z #89 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4455645Z #90 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4456083Z #91 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4456530Z #92 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4456896Z #93 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4457306Z #94 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4457670Z #95 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4457923Z #96 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4458295Z #97 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4458694Z #98 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4459069Z #99 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4459481Z #100 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4459853Z #101 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4460212Z #102 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4460520Z #103 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4460820Z #104 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4461120Z #105 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4461530Z #106 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4461919Z #107 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4462331Z #108 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4462705Z #109 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4463119Z #110 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4463494Z #111 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4463790Z #112 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T12:32:30.4464093Z #113 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T12:32:30.4464356Z #114 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T12:32:30.4464642Z #115 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T12:32:30.4464990Z #116 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T12:32:30.4465319Z #117 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T12:32:30.4465606Z #118 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T12:32:30.4465869Z #119 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T12:32:30.4466138Z #120 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T12:32:30.4466360Z #121 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T12:32:30.4466459Z #122 _start from ??:0 2025-12-04T12:32:30.4466583Z #123 from ??:0 2025-12-04T12:32:30.4466590Z 2025-12-04T12:32:30.4466596Z 2025-12-04T12:32:30.4466813Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.4467371Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.4467408Z 2025-12-04T12:32:30.4467703Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.4467878Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:32:30.4468079Z ================== 1 failed, 72 deselected, 2 rerun in 16.62s ================== 2025-12-04T12:32:30.4468172Z Got exit code 1 2025-12-04T12:32:30.4468283Z Retrying single test... 2025-12-04T12:32:30.4468956Z Test results will be stored in test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-98f708a575c21f0b.xml 2025-12-04T12:32:30.4469115Z ============================= test session starts ============================== 2025-12-04T12:32:30.4469477Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:32:30.4469585Z cachedir: .pytest_cache 2025-12-04T12:32:30.4470105Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:32:30.4470238Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:32:30.4470342Z configfile: pytest.ini 2025-12-04T12:32:30.4470942Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:32:30.4471156Z collecting ... collected 73 items / 72 deselected / 1 selected 2025-12-04T12:32:30.4471769Z stepcurrent: skipping 51 already run items. Running only test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa 2025-12-04T12:32:30.4471893Z Running 1 items in this shard 2025-12-04T12:32:30.4471899Z 2025-12-04T12:32:30.4472828Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa [W1204 12:31:42.586512299 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.4472838Z 2025-12-04T12:32:30.4472977Z ('RERUN', {'yellow': True}) [16.8582s] [100%] 2025-12-04T12:32:30.4473901Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa [W1204 12:31:58.813128926 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.4473907Z 2025-12-04T12:32:30.4474041Z ('RERUN', {'yellow': True}) [0.0024s] [100%] 2025-12-04T12:32:30.4474959Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa [W1204 12:31:58.816969875 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T12:32:30.4474965Z 2025-12-04T12:32:30.4475061Z FAILED [0.0019s] [100%] 2025-12-04T12:32:30.4475066Z 2025-12-04T12:32:30.4475209Z ==================================== RERUNS ==================================== 2025-12-04T12:32:30.4475463Z _____________________ TestInvokeSubgraphCompile.test_sdpa ______________________ 2025-12-04T12:32:30.4475592Z Traceback (most recent call last): 2025-12-04T12:32:30.4476040Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 577, in test_sdpa 2025-12-04T12:32:30.4476135Z ref = fn(q, k, v) 2025-12-04T12:32:30.4476535Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 565, in fn 2025-12-04T12:32:30.4476633Z return gn(q, k, v) 2025-12-04T12:32:30.4477181Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 173, in inner 2025-12-04T12:32:30.4477418Z return invoke_subgraph_placeholder(inner_func, *args, **kwargs) 2025-12-04T12:32:30.4478035Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 154, in invoke_subgraph_placeholder 2025-12-04T12:32:30.4478154Z return func(*args, **kwargs) 2025-12-04T12:32:30.4478577Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 557, in gn 2025-12-04T12:32:30.4478837Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4479033Z RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.4479772Z Exception raised from select_sdp_backend at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:962 (most recent call first): 2025-12-04T12:32:30.4479878Z C++ CapturedTraceback: 2025-12-04T12:32:30.4481199Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T12:32:30.4481684Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T12:32:30.4482029Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T12:32:30.4482213Z #7 sdp::select_sdp_backend(sdp::sdp_params const&) from :0 2025-12-04T12:32:30.4482878Z #8 at::native::_fused_sdp_choice_cuda(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4483569Z #9 at::native::scaled_dot_product_attention(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4487487Z #10 c10::impl::wrap_kernel_functor_unboxed_ const&, double, bool, std::optional, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__scaled_dot_product_attention>, at::Tensor, c10::guts::typelist::typelist const&, double, bool, std::optional, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from RegisterCompositeImplicitAutograd_0.cpp:0 2025-12-04T12:32:30.4488195Z #11 at::_ops::scaled_dot_product_attention::call(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4488690Z #12 torch::autograd::THPVariable_scaled_dot_product_attention(_object*, _object*, _object*) from python_nn_functions.cpp:0 2025-12-04T12:32:30.4489014Z #13 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T12:32:30.4489316Z #14 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4489732Z #15 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4490102Z #16 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4490370Z #17 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4490772Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4491137Z #19 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4491522Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4491926Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4492389Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4492820Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4493187Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4493452Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4493821Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4494224Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4494605Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4495006Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4495385Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4495788Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4496152Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4496561Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4496929Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4497229Z #35 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T12:32:30.4497485Z #36 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4497854Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4498210Z #38 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4498515Z #39 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4498803Z #40 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4499110Z #41 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4499514Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4499893Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4500294Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4500661Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4500921Z #46 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4501295Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4501707Z #48 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4502074Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4502476Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4502881Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4503231Z #52 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4503540Z #53 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4503831Z #54 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4504155Z #55 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T12:32:30.4504675Z #56 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4505061Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4505463Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4505841Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4506249Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4506623Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4506876Z #62 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4507244Z #63 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4507660Z #64 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4508027Z #65 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4508436Z #66 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4508804Z #67 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4509061Z #68 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4509439Z #69 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4509839Z #70 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4510217Z #71 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4510625Z #72 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4510990Z #73 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4511343Z #74 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4511644Z #75 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4511935Z #76 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4512242Z #77 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4512644Z #78 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4513021Z #79 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4513281Z #80 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4513648Z #81 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4514055Z #82 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4514427Z #83 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4514907Z #84 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4515279Z #85 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4515625Z #86 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4515931Z #87 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4516308Z #88 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4516653Z #89 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4517058Z #90 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4517426Z #91 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4517839Z #92 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4518208Z #93 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4518609Z #94 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4518984Z #95 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4519241Z #96 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4519619Z #97 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4520018Z #98 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4520385Z #99 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4520808Z #100 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4521185Z #101 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4521553Z #102 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4521858Z #103 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4522156Z #104 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4522473Z #105 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4522887Z #106 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4523278Z #107 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4523688Z #108 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4524065Z #109 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4524487Z #110 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4524862Z #111 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4525148Z #112 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T12:32:30.4525467Z #113 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T12:32:30.4525738Z #114 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T12:32:30.4526038Z #115 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T12:32:30.4526386Z #116 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T12:32:30.4526710Z #117 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T12:32:30.4527038Z #118 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T12:32:30.4527308Z #119 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T12:32:30.4527579Z #120 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T12:32:30.4527772Z #121 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T12:32:30.4527927Z #122 _start from ??:0 2025-12-04T12:32:30.4528059Z #123 from ??:0 2025-12-04T12:32:30.4528066Z 2025-12-04T12:32:30.4528100Z 2025-12-04T12:32:30.4528317Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.4528832Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.4528848Z 2025-12-04T12:32:30.4529112Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.4529331Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4530526Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4530727Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4532061Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4532265Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4533430Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4533639Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4535090Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4535303Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4536472Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4536667Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4537854Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4538048Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4539191Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.4539397Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4539662Z _____________________ TestInvokeSubgraphCompile.test_sdpa ______________________ 2025-12-04T12:32:30.4539782Z Traceback (most recent call last): 2025-12-04T12:32:30.4540223Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 577, in test_sdpa 2025-12-04T12:32:30.4540331Z ref = fn(q, k, v) 2025-12-04T12:32:30.4540760Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 565, in fn 2025-12-04T12:32:30.4540860Z return gn(q, k, v) 2025-12-04T12:32:30.4541377Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 173, in inner 2025-12-04T12:32:30.4541606Z return invoke_subgraph_placeholder(inner_func, *args, **kwargs) 2025-12-04T12:32:30.4542284Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 154, in invoke_subgraph_placeholder 2025-12-04T12:32:30.4542456Z return func(*args, **kwargs) 2025-12-04T12:32:30.4542850Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 557, in gn 2025-12-04T12:32:30.4543063Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4543253Z RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.4543992Z Exception raised from select_sdp_backend at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:962 (most recent call first): 2025-12-04T12:32:30.4544110Z C++ CapturedTraceback: 2025-12-04T12:32:30.4545428Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T12:32:30.4545927Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T12:32:30.4546260Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T12:32:30.4546445Z #7 sdp::select_sdp_backend(sdp::sdp_params const&) from :0 2025-12-04T12:32:30.4547109Z #8 at::native::_fused_sdp_choice_cuda(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4547804Z #9 at::native::scaled_dot_product_attention(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4551730Z #10 c10::impl::wrap_kernel_functor_unboxed_ const&, double, bool, std::optional, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__scaled_dot_product_attention>, at::Tensor, c10::guts::typelist::typelist const&, double, bool, std::optional, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from RegisterCompositeImplicitAutograd_0.cpp:0 2025-12-04T12:32:30.4552452Z #11 at::_ops::scaled_dot_product_attention::call(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4552943Z #12 torch::autograd::THPVariable_scaled_dot_product_attention(_object*, _object*, _object*) from python_nn_functions.cpp:0 2025-12-04T12:32:30.4553260Z #13 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T12:32:30.4553576Z #14 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4553981Z #15 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4554392Z #16 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4554650Z #17 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4555021Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4555287Z #19 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4555717Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4556148Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4556529Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4556931Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4557308Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4557562Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4557930Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4558342Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4558711Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4559123Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4559489Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4559889Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4560271Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4560670Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4561049Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4561337Z #35 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T12:32:30.4561593Z #36 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4561975Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4562321Z #38 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4562622Z #39 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4562928Z #40 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4563228Z #41 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4563633Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4564010Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4564418Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4564791Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4565054Z #46 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4565423Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4565831Z #48 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4566232Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4566638Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4567012Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4567357Z #52 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4567731Z #53 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4568050Z #54 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4568317Z #55 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T12:32:30.4568580Z #56 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4568948Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4569367Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4569732Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4570135Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4570515Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4570774Z #62 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4571231Z #63 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4571647Z #64 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4572014Z #65 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4572432Z #66 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4572796Z #67 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4573047Z #68 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4573429Z #69 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4573836Z #70 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4574215Z #71 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4574615Z #72 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4574978Z #73 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4575339Z #74 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4575639Z #75 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4575937Z #76 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4576233Z #77 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4576637Z #78 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4577017Z #79 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4577273Z #80 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4577637Z #81 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4578083Z #82 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4578452Z #83 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4578859Z #84 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4579224Z #85 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4579627Z #86 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4579971Z #87 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4580262Z #88 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4580564Z #89 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4580970Z #90 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4581342Z #91 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4581753Z #92 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4582124Z #93 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4582529Z #94 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4582907Z #95 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4583163Z #96 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4583538Z #97 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4583937Z #98 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4584305Z #99 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4584729Z #100 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4585105Z #101 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4585463Z #102 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4585774Z #103 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4586070Z #104 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4586378Z #105 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4586789Z #106 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4587172Z #107 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4587579Z #108 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4587949Z #109 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4588366Z #110 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4588740Z #111 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4589029Z #112 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T12:32:30.4589343Z #113 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T12:32:30.4589608Z #114 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T12:32:30.4589901Z #115 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T12:32:30.4590297Z #116 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T12:32:30.4590623Z #117 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T12:32:30.4590918Z #118 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T12:32:30.4591215Z #119 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T12:32:30.4591514Z #120 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T12:32:30.4591734Z #121 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T12:32:30.4591830Z #122 _start from ??:0 2025-12-04T12:32:30.4591960Z #123 from ??:0 2025-12-04T12:32:30.4591966Z 2025-12-04T12:32:30.4591971Z 2025-12-04T12:32:30.4592184Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.4592704Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.4592719Z 2025-12-04T12:32:30.4592983Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.4593199Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4594391Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4594597Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4595822Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4596026Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4597190Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4597401Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4598847Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4599054Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4600221Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4600417Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4601603Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4601805Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4602959Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.4603156Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4603384Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4604839Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4605050Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4606288Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4606599Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4607777Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4607973Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4609417Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4609632Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4610806Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4611116Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4612291Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4612503Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4612646Z =================================== FAILURES =================================== 2025-12-04T12:32:30.4612901Z _____________________ TestInvokeSubgraphCompile.test_sdpa ______________________ 2025-12-04T12:32:30.4613039Z Traceback (most recent call last): 2025-12-04T12:32:30.4613481Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 577, in test_sdpa 2025-12-04T12:32:30.4613580Z ref = fn(q, k, v) 2025-12-04T12:32:30.4613989Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 565, in fn 2025-12-04T12:32:30.4614085Z return gn(q, k, v) 2025-12-04T12:32:30.4614608Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 173, in inner 2025-12-04T12:32:30.4614836Z return invoke_subgraph_placeholder(inner_func, *args, **kwargs) 2025-12-04T12:32:30.4615457Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/invoke_subgraph.py", line 154, in invoke_subgraph_placeholder 2025-12-04T12:32:30.4615578Z return func(*args, **kwargs) 2025-12-04T12:32:30.4615972Z File "/var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py", line 557, in gn 2025-12-04T12:32:30.4616179Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4616381Z RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.4617122Z Exception raised from select_sdp_backend at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:962 (most recent call first): 2025-12-04T12:32:30.4617244Z C++ CapturedTraceback: 2025-12-04T12:32:30.4618592Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T12:32:30.4619085Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T12:32:30.4619418Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T12:32:30.4619658Z #7 sdp::select_sdp_backend(sdp::sdp_params const&) from :0 2025-12-04T12:32:30.4620353Z #8 at::native::_fused_sdp_choice_cuda(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4621045Z #9 at::native::scaled_dot_product_attention(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4624957Z #10 c10::impl::wrap_kernel_functor_unboxed_ const&, double, bool, std::optional, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__scaled_dot_product_attention>, at::Tensor, c10::guts::typelist::typelist const&, double, bool, std::optional, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from RegisterCompositeImplicitAutograd_0.cpp:0 2025-12-04T12:32:30.4625664Z #11 at::_ops::scaled_dot_product_attention::call(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4626161Z #12 torch::autograd::THPVariable_scaled_dot_product_attention(_object*, _object*, _object*) from python_nn_functions.cpp:0 2025-12-04T12:32:30.4626485Z #13 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T12:32:30.4626803Z #14 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4627211Z #15 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4627582Z #16 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4627851Z #17 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4628217Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4628474Z #19 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4628853Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4629255Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4629633Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4630042Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4630406Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4630672Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4631038Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4631476Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4631843Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4632243Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4632617Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4633074Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4633490Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4633894Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4634258Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4634556Z #35 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T12:32:30.4634807Z #36 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4635172Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4635522Z #38 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4635827Z #39 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4636134Z #40 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4636436Z #41 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4636838Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4637213Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4637618Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4637990Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4638246Z #46 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4638612Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4639022Z #48 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4639389Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4639794Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4640157Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4640500Z #52 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4640805Z #53 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4641094Z #54 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4641359Z #55 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T12:32:30.4641625Z #56 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4641997Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4642404Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4642772Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4643178Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4643581Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4643839Z #62 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4644213Z #63 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4644641Z #64 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4645063Z #65 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4645468Z #66 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4645831Z #67 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4646095Z #68 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4646465Z #69 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4646867Z #70 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4647240Z #71 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4647641Z #72 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4648011Z #73 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4648363Z #74 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4648665Z #75 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4648963Z #76 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4649265Z #77 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4649668Z #78 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4650043Z #79 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4650298Z #80 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4650682Z #81 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4651174Z #82 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4651542Z #83 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4651958Z #84 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4652330Z #85 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4652685Z #86 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4652987Z #87 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4653276Z #88 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4653586Z #89 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4653996Z #90 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4654365Z #91 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4654779Z #92 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4655151Z #93 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4655593Z #94 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4655965Z #95 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4656217Z #96 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4656620Z #97 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4657083Z #98 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4657461Z #99 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4657876Z #100 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4658251Z #101 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4658615Z #102 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4658924Z #103 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4659228Z #104 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4659528Z #105 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4659942Z #106 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4660328Z #107 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4660736Z #108 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4661109Z #109 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4661525Z #110 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4661900Z #111 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4662195Z #112 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T12:32:30.4662494Z #113 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T12:32:30.4662759Z #114 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T12:32:30.4663051Z #115 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T12:32:30.4663400Z #116 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T12:32:30.4663735Z #117 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T12:32:30.4664018Z #118 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T12:32:30.4664286Z #119 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T12:32:30.4664557Z #120 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T12:32:30.4664747Z #121 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T12:32:30.4664847Z #122 _start from ??:0 2025-12-04T12:32:30.4664972Z #123 from ??:0 2025-12-04T12:32:30.4664980Z 2025-12-04T12:32:30.4664986Z 2025-12-04T12:32:30.4665197Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.4665727Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.4665732Z 2025-12-04T12:32:30.4665992Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.4666210Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4667440Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4667643Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4668877Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4669161Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4670338Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4670537Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4671988Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4672197Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4673370Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4673572Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4674751Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4674949Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4676090Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T12:32:30.4676293Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4676518Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T12:32:30.4677689Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory efficient kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:956.) 2025-12-04T12:32:30.4677888Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4679113Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Memory Efficient attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/sdp_utils_cpp.h:552.) 2025-12-04T12:32:30.4679313Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4680485Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:958.) 2025-12-04T12:32:30.4680689Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4682143Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: Flash attention only supports gpu architectures in the range [sm80, sm121]. Attempting to run on a sm 7.5 gpu. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:335.) 2025-12-04T12:32:30.4682369Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4683531Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention kernel not used because: (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:960.) 2025-12-04T12:32:30.4683767Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4685020Z /var/lib/jenkins/workspace/test/higher_order_ops/test_invoke_subgraph.py:557: UserWarning: cuDNN attention has been runtime disabled. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:676.) 2025-12-04T12:32:30.4685234Z return torch.nn.functional.scaled_dot_product_attention( 2025-12-04T12:32:30.4686086Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-98f708a575c21f0b.xml - 2025-12-04T12:32:30.4686259Z =========================== short test summary info ============================ 2025-12-04T12:32:30.4686933Z FAILED [0.0019s] higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa - RuntimeError: No available kernel. Aborting execution. 2025-12-04T12:32:30.4687668Z Exception raised from select_sdp_backend at /var/lib/jenkins/workspace/aten/src/ATen/native/transformers/cuda/sdp_utils.cpp:962 (most recent call first): 2025-12-04T12:32:30.4687795Z C++ CapturedTraceback: 2025-12-04T12:32:30.4689106Z #4 std::_Function_handler, std::allocator > > const> (), c10::SetStackTraceFetcher(std::function, std::allocator > ()>)::{lambda()#1}>::_M_invoke(std::_Any_data const&) from Logging.cpp:0 2025-12-04T12:32:30.4689608Z #5 c10::Error::Error(c10::SourceLocation, std::__cxx11::basic_string, std::allocator >) from ??:0 2025-12-04T12:32:30.4689943Z #6 c10::detail::torchCheckFail(char const*, char const*, unsigned int, char const*) from ??:0 2025-12-04T12:32:30.4690124Z #7 sdp::select_sdp_backend(sdp::sdp_params const&) from :0 2025-12-04T12:32:30.4690793Z #8 at::native::_fused_sdp_choice_cuda(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4691600Z #9 at::native::scaled_dot_product_attention(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4695515Z #10 c10::impl::wrap_kernel_functor_unboxed_ const&, double, bool, std::optional, bool), &at::(anonymous namespace)::(anonymous namespace)::wrapper_CompositeImplicitAutograd__scaled_dot_product_attention>, at::Tensor, c10::guts::typelist::typelist const&, double, bool, std::optional, bool> >, at::Tensor (at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool)>::call(c10::OperatorKernel*, c10::DispatchKeySet, at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from RegisterCompositeImplicitAutograd_0.cpp:0 2025-12-04T12:32:30.4696221Z #11 at::_ops::scaled_dot_product_attention::call(at::Tensor const&, at::Tensor const&, at::Tensor const&, std::optional const&, double, bool, std::optional, bool) from ??:0 2025-12-04T12:32:30.4696716Z #12 torch::autograd::THPVariable_scaled_dot_product_attention(_object*, _object*, _object*) from python_nn_functions.cpp:0 2025-12-04T12:32:30.4697077Z #13 cfunction_call from /usr/local/src/conda/python-3.10.14/Objects/methodobject.c:543 2025-12-04T12:32:30.4697390Z #14 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4697795Z #15 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4698163Z #16 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4698489Z #17 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4698885Z #18 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4699150Z #19 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4699517Z #20 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4699922Z #21 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4700300Z #22 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4700702Z #23 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4701077Z #24 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4701335Z #25 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4701704Z #26 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4702117Z #27 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4702481Z #28 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4702878Z #29 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4703263Z #30 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4703665Z #31 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4704039Z #32 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4704614Z #33 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4704997Z #34 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4705298Z #35 PyVectorcall_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:267 2025-12-04T12:32:30.4705555Z #36 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4705928Z #37 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4706278Z #38 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4706581Z #39 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4706884Z #40 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4707183Z #41 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4707595Z #42 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4707976Z #43 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4708378Z #44 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4708755Z #45 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4709069Z #46 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4709435Z #47 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4709845Z #48 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4710209Z #49 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4710701Z #50 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4711113Z #51 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4711460Z #52 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4711767Z #53 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4712057Z #54 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4712334Z #55 _PyObject_Call from /usr/local/src/conda/python-3.10.14/Objects/call.c:305 2025-12-04T12:32:30.4712585Z #56 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4712954Z #57 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4713369Z #58 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4713740Z #59 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4714144Z #60 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4714518Z #61 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4714770Z #62 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4715147Z #63 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4715544Z #64 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4715909Z #65 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4716323Z #66 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4716694Z #67 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4716961Z #68 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4717327Z #69 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4717727Z #70 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4718107Z #71 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4718505Z #72 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4718877Z #73 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4719221Z #74 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4719524Z #75 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4719823Z #76 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4720119Z #77 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4720521Z #78 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4720930Z #79 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4721184Z #80 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4721562Z #81 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4721964Z #82 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4722408Z #83 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4722850Z #84 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4723220Z #85 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4723583Z #86 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4723885Z #87 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4724182Z #88 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4724497Z #89 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4724899Z #90 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4725285Z #91 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4725692Z #92 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4726060Z #93 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4726479Z #94 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4726847Z #95 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4727107Z #96 do_call_core from /usr/local/src/conda/python-3.10.14/Python/ceval.c:5945 2025-12-04T12:32:30.4727490Z #97 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4727893Z #98 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4728275Z #99 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4728695Z #100 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4729071Z #101 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4729444Z #102 _PyObject_FastCallDictTstate from /usr/local/src/conda/python-3.10.14/Objects/call.c:153 2025-12-04T12:32:30.4729751Z #103 _PyObject_Call_Prepend from /usr/local/src/conda/python-3.10.14/Objects/call.c:431 2025-12-04T12:32:30.4730064Z #104 slot_tp_call from /usr/local/src/conda/python-3.10.14/Objects/typeobject.c:7494 2025-12-04T12:32:30.4730368Z #105 _PyObject_MakeTpCall from /usr/local/src/conda/python-3.10.14/Objects/call.c:215 2025-12-04T12:32:30.4730781Z #106 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:112 2025-12-04T12:32:30.4731264Z #107 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4731683Z #108 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4732075Z #109 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4732491Z #110 _PyObject_VectorcallTstate from /usr/local/src/conda/python-3.10.14/Include/cpython/abstract.h:114 2025-12-04T12:32:30.4732867Z #111 _PyEval_EvalFrame from /usr/local/src/conda/python-3.10.14/Include/internal/pycore_ceval.h:46 2025-12-04T12:32:30.4733203Z #112 PyEval_EvalCode from /usr/local/src/conda/python-3.10.14/Python/ceval.c:1134 2025-12-04T12:32:30.4733513Z #113 run_eval_code_obj from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1291 2025-12-04T12:32:30.4733779Z #114 run_mod from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1312 2025-12-04T12:32:30.4734076Z #115 pyrun_file from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:1208 2025-12-04T12:32:30.4734476Z #116 _PyRun_SimpleFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:456 2025-12-04T12:32:30.4734868Z #117 _PyRun_AnyFileObject from /usr/local/src/conda/python-3.10.14/Python/pythonrun.c:90 2025-12-04T12:32:30.4735160Z #118 pymain_run_file_obj from /usr/local/src/conda/python-3.10.14/Modules/main.c:357 2025-12-04T12:32:30.4735432Z #119 Py_BytesMain from /usr/local/src/conda/python-3.10.14/Modules/main.c:1090 2025-12-04T12:32:30.4735711Z #120 __libc_start_call_main from ./csu/../sysdeps/nptl/libc_start_call_main.h:58 2025-12-04T12:32:30.4735911Z #121 __libc_start_main_impl from ./csu/../csu/libc-start.c:392 2025-12-04T12:32:30.4736011Z #122 _start from ??:0 2025-12-04T12:32:30.4736139Z #123 from ??:0 2025-12-04T12:32:30.4736145Z 2025-12-04T12:32:30.4736151Z 2025-12-04T12:32:30.4736367Z To execute this test, run the following from the base repo dir: 2025-12-04T12:32:30.4736898Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/higher_order_ops/test_invoke_subgraph.py TestInvokeSubgraphCompile.test_sdpa 2025-12-04T12:32:30.4736909Z 2025-12-04T12:32:30.4737179Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T12:32:30.4737357Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T12:32:30.4737558Z ================== 1 failed, 72 deselected, 2 rerun in 16.90s ================== 2025-12-04T12:32:30.4737656Z Got exit code 1 2025-12-04T12:32:30.4738115Z FAILED CONSISTENTLY: test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa 2025-12-04T12:32:30.4738522Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T12:32:30.4739194Z Test results will be stored in test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-5e65555b4ba32bc1.xml 2025-12-04T12:32:30.4739369Z ============================= test session starts ============================== 2025-12-04T12:32:30.4739724Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T12:32:30.4739844Z cachedir: .pytest_cache 2025-12-04T12:32:30.4740367Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T12:32:30.4740491Z rootdir: /var/lib/jenkins/workspace 2025-12-04T12:32:30.4740603Z configfile: pytest.ini 2025-12-04T12:32:30.4741193Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T12:32:30.4741413Z collecting ... collected 73 items / 52 deselected / 21 selected 2025-12-04T12:32:30.4741564Z stepcurrent: skipping 52 already run items. 2025-12-04T12:32:30.4741676Z Running 21 items in this shard 2025-12-04T12:32:30.4741682Z 2025-12-04T12:32:30.4742125Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple PASSED [5.4243s] [ 4%] 2025-12-04T12:32:30.4742588Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_simple_module PASSED [1.8485s] [ 9%] 2025-12-04T12:32:30.4743095Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_symint_from_fwd_to_bwd PASSED [1.5239s] [ 14%] 2025-12-04T12:32:30.4743594Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_triton_kernel_native PASSED [0.2333s] [ 19%] 2025-12-04T12:32:30.4744058Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_tuple_of_tuple PASSED [0.3009s] [ 23%] 2025-12-04T12:32:30.4744543Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_udf_output PASSED [0.2169s] [ 28%] 2025-12-04T12:32:30.4744985Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked1 PASSED [0.0738s] [ 33%] 2025-12-04T12:32:30.4745425Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked2 PASSED [0.0673s] [ 38%] 2025-12-04T12:32:30.4745934Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_unbacked_symbol PASSED [0.6865s] [ 42%] 2025-12-04T12:32:30.4746459Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_view_to_reshape PASSED [0.8737s] [ 47%] 2025-12-04T12:32:30.4747002Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_multiple_module PASSED [0.8607s] [ 52%] 2025-12-04T12:32:30.4747537Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_pending_unbacked PASSED [1.4994s] [ 57%] 2025-12-04T12:32:30.4748044Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_func PASSED [0.1954s] [ 61%] 2025-12-04T12:32:30.4748569Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_simple_method PASSED [0.1874s] [ 66%] 2025-12-04T12:32:30.4749053Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportNonstrict::test_unbacked PASSED [2.8320s] [ 71%] 2025-12-04T12:32:30.4749566Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_multiple_module PASSED [0.3634s] [ 76%] 2025-12-04T12:32:30.4750079Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_pending_unbacked PASSED [1.0246s] [ 80%] 2025-12-04T12:32:30.4750562Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_func PASSED [0.1255s] [ 85%] 2025-12-04T12:32:30.4751064Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_simple_method PASSED [0.1231s] [ 90%] 2025-12-04T12:32:30.4751531Z higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphExportStrict::test_unbacked PASSED [2.0832s] [ 95%] 2025-12-04T12:32:30.4751930Z higher_order_ops/test_invoke_subgraph.py::NegativeTesting::test_graph_break PASSED [0.0148s] [100%] 2025-12-04T12:32:30.4751936Z 2025-12-04T12:32:30.4752796Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-5e65555b4ba32bc1.xml - 2025-12-04T12:32:30.4752982Z ====================== 21 passed, 52 deselected in 20.63s ====================== 2025-12-04T12:32:30.4754040Z The following tests failed consistently: ['test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_ac_rng_cudagraphs', 'test/higher_order_ops/test_invoke_subgraph.py::TestInvokeSubgraphCompile::test_sdpa'] 2025-12-04T12:32:30.4754046Z 2025-12-04T12:32:30.4754698Z FINISHED PRINTING LOG FILE of higher_order_ops/test_invoke_subgraph 1/1 (test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_7f537c7a4c7f2ac3_.log) 2025-12-04T12:32:30.4754706Z 2025-12-04T12:32:30.4755113Z Finished higher_order_ops/test_invoke_subgraph 1/1 ... [2025-12-04 12:32:30.301521][10786.051060281], took 3.80min 2025-12-04T12:32:30.4756024Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-b7fb334907bb1a55.xml 2025-12-04T12:32:30.4819728Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-6b7b23216f179887.xml 2025-12-04T12:32:30.5105418Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-6a8f6de3d1c85451.xml 2025-12-04T12:32:30.5474660Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-87a41da56f0268c7.xml 2025-12-04T12:32:30.5796039Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-0d645e9491303b3e.xml 2025-12-04T12:32:30.6147154Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-98f708a575c21f0b.xml 2025-12-04T12:32:30.6450081Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/higher_order_ops.test_invoke_subgraph/higher_order_ops.test_invoke_subgraph-5e65555b4ba32bc1.xml 2025-12-04T12:32:31.1010525Z Uploading logs for 57119749297 to S3 2025-12-04T12:32:31.2378265Z Uploading artifacts took 0.56 seconds 2025-12-04T12:32:31.2378719Z higher_order_ops/test_invoke_subgraph 1/1 failed! 2025-12-04T12:32:31.2383737Z Running test_decomp 1/17 ... [2025-12-04 12:32:31.238198][10786.987741645] 2025-12-04T12:32:31.2384277Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T12:32:31.2389154Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '--shard-id=1', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 12:32:31.238675] 2025-12-04T12:44:25.5051472Z 2025-12-04T12:44:25.5052555Z test_decomp 1/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_1.17_5ccbb32cc72203a6_.log 2025-12-04T12:44:25.5250816Z Running 516 items in this shard: test/test_decomp.py::TestDecompCUDA::test_comprehensive_H_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___getitem___cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rdiv___cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rmatmul___cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rmul___cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive___ror___cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rpow___cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rpow___cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rsub___cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rsub___cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive__chunk_cat_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive__unsafe_masked_index_put_accumulate_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_acosh_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addcmul_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addmm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addmv_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_allclose_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_amax_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_amax_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_amin_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_angle_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_any_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_argmax_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_argsort_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_argwhere_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_copy_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_copy_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_partial_views_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_asinh_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_asinh_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atleast_1d_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atleast_2d_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atleast_3d_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bernoulli_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bfloat16_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bitwise_and_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bitwise_or_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bitwise_or_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_block_diag_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bmm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bucketize_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_byte_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cdouble_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ceil_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ceil_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cfloat_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_chalf_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_chalf_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_char_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_char_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cholesky_inverse_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_clamp_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_clamp_max_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_clamp_max_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_clone_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_column_stack_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_conj_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_conj_physical_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_contiguous_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cos_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cos_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cos_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cos_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diag_embed_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diagonal_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diagonal_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diff_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_digamma_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_div_floor_rounding_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_div_no_rounding_mode_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_div_no_rounding_mode_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_double_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_dsplit_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_dstack_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_like_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_permuted_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_strided_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_erfc_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_exp2_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_expand_as_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_expand_as_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_expand_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_expm1_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_eye_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_eye_cuda_float8_e4m3fn, test/test_decomp.py::TestDecompCUDA::test_comprehensive_eye_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_eye_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fft2_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fft2_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fft_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fftn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_hfft_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_hfft_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifftn_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ihfft_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ihfft_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfft2_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfft_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfftn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfftn_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_rfft2_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_rfft_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_rfft_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_rfftn_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_flipud_cuda_bfloat16, 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test/test_decomp.py::TestDecompCUDA::test_comprehensive_ldexp_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_le_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_lgamma_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_cross_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_diagonal_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_matrix_norm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_norm_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_norm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_solve_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_solve_triangular_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_svdvals_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_vector_norm_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_vector_norm_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_vector_norm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log10_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log_softmax_with_dtype_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_and_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_and_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_or_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_xor_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_xor_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logsumexp_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_long_cuda_float16, 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test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_sum_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_var_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_matrix_exp_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_max_binary_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_max_binary_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_maximum_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mean_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_min_binary_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_min_reduction_no_dim_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_min_reduction_no_dim_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_min_reduction_with_dim_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_min_reduction_with_dim_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_movedim_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mul_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mul_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mvlgamma_mvlgamma_p_3_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nan_to_num_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nanmean_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nanmedian_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nanmedian_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nansum_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_narrow_copy_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_native_batch_norm_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_new_full_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_new_zeros_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_adaptive_max_pool3d_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_avg_pool2d_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_channel_shuffle_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_channel_shuffle_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_channel_shuffle_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv1d_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv2d_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv2d_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv_transpose1d_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv_transpose3d_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_cosine_embedding_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_cosine_embedding_loss_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_hardsigmoid_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_hardtanh_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_hardtanh_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_interpolate_area_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_linear_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_max_pool2d_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_max_unpool1d_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_max_unpool3d_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_max_unpool3d_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_multi_head_attention_forward_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_nll_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_circular_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_circular_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_constant_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_constant_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_replicate_negative_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pairwise_distance_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pairwise_distance_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pixel_unshuffle_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_relu6_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_relu_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_rms_norm_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_rms_norm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_smooth_l1_loss_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_softmin_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_softmin_with_dtype_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_softshrink_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_softsign_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_softsign_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_threshold_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nonzero_static_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_norm_fro_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_normal_number_mean_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_outer_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_pca_lowrank_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_permute_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_polygamma_polygamma_n_1_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_polygamma_polygamma_n_2_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_polygamma_polygamma_n_4_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_pow_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_prod_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_put_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_rad2deg_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_rad2deg_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_randint_like_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_randint_like_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_randn_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_randn_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_remainder_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_repeat_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_repeat_interleave_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_resize__cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_resolve_neg_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_roll_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_roll_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_rot90_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_round_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_round_decimals_3_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_rsqrt_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_rsqrt_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_rsub_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scalar_tensor_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_amax_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_amin_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_prod_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_searchsorted_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sgn_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sigmoid_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sigmoid_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sign_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_signal_windows_cosine_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_signbit_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_signbit_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_signbit_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sinh_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sort_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sparse_sampled_addmm_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_bessel_y1_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_chebyshev_polynomial_u_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_erfcx_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_hermite_polynomial_h_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_i1e_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_i0_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_i0_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_i1_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_k1_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_k1_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_polygamma_special_polygamma_n_0_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_shifted_chebyshev_polynomial_v_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_shifted_chebyshev_polynomial_w_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_with_sizes_copy_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_multiple_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_std_mean_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_std_mean_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_t_copy_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_take_along_dim_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tan_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tan_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tensor_split_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tensor_split_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tensordot_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_to_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_to_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_topk_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_torch_ops_aten__efficient_attention_forward_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_transpose_copy_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_triangular_solve_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_triu_indices_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_trunc_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_trunc_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unbind_copy_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unbind_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unbind_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsafe_chunk_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsafe_split_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_as_complex_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_as_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_as_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vstack_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_where_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_zero__cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick__chunk_cat_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick__unsafe_masked_index_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick__unsafe_masked_index_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_acos_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_acosh_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_addr_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_alias_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_amax_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_amin_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_amin_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_aminmax_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_arange_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_as_strided_copy_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_as_strided_scatter_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_asinh_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_atanh_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_baddbmm_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_baddbmm_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_bernoulli_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_bernoulli_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_bitwise_and_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_block_diag_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_bucketize_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_min_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_copysign_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_norm_inf_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_count_nonzero_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_cumprod_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_cumsum_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_deg2rad_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_diagonal_copy_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_diagonal_scatter_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_digamma_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_erfc_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_expand_copy_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_expm1_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_eye_cuda_float8_e4m3fn, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fftn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft2_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifftn_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifftn_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifftn_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ihfft2_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfft2_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_rfft_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_fft_rfft_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_fill_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_floor_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_floor_divide_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_fmod_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_gt_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_heaviside_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_hypot_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_index_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_isinf_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_isnan_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_isposinf_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_item_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_lcm_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_le_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_le_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_lerp_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_cross_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_diagonal_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_log1p_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_log1p_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_log2_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_log_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_log_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_logaddexp_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_logical_and_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_logical_xor_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_logit_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_logspace_tensor_overload_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_masked_fill_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_maximum_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_meshgrid_variadic_tensors_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_native_dropout_backward_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_ne_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_elu_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_gelu_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_glu_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_glu_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_huber_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_logsigmoid_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_max_unpool3d_grad_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_relu6_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_rrelu_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_unfold_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_norm_fro_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_normal_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_ones_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_ones_like_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_permute_copy_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_permute_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_permute_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_prod_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_remainder_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_repeat_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_repeat_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_roll_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_roll_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_round_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_rsub_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_select_scatter_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_sgn_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_sgn_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_sigmoid_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_sigmoid_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_sigmoid_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_sigmoid_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_sigmoid_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_sign_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_sign_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_sin_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_special_erfcx_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_special_i0e_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_special_ndtr_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_special_zeta_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_split_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_split_with_sizes_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_split_with_sizes_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_sqrt_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_copy_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_multiple_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_stack_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_sum_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_sum_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_take_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_tan_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_tan_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_transpose_copy_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_transpose_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_transpose_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_transpose_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_tril_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_triu_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_unfold_copy_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_unsqueeze_copy_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_unsqueeze_copy_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_unsqueeze_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_var_mean_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_var_mean_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_view_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_where_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_where_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_zero__cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_zero__cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_zeros_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_zeros_like_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_zeros_like_cuda_int16, test/test_decomp.py::DecompOneOffTestsCUDA::test_sdpa_nn_functional_scaled_dot_product_attention_cuda_bfloat16 2025-12-04T12:44:25.5448620Z 2025-12-04T12:44:25.5448942Z Finished test_decomp 1/17 ... [2025-12-04 12:44:25.505402][11501.254945591], took 11.90min 2025-12-04T12:44:25.5450027Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-bedfc1be4c00e1d6.xml 2025-12-04T12:44:25.6261898Z Running test_decomp 6/17 ... [2025-12-04 12:44:25.625886][11501.375429336] 2025-12-04T12:44:25.6262436Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T12:44:25.6265392Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '--shard-id=6', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 12:44:25.626304] 2025-12-04T12:55:03.9202970Z 2025-12-04T12:55:03.9203926Z test_decomp 6/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_6.17_83d6619cedbe2efe_.log 2025-12-04T12:55:03.9397249Z Running 500 items in this shard: test/test_decomp.py::TestDecompCUDA::test_comprehensive_H_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___getitem___cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive___radd___cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive___radd___cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rmod___cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___ror___cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive__batch_norm_with_update_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive__unsafe_masked_index_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive__unsafe_masked_index_put_accumulate_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_acos_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_acos_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_add_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addcmul_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addcmul_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addmm_decomposed_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addr_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addr_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_all_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_all_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_amax_cuda_float64, 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test/test_decomp.py::TestDecompCUDA::test_comprehensive_resize_as__cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_roll_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_roll_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_rot90_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_round_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_round_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_round_decimals_3_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_rsqrt_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scalar_tensor_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_amax_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_amax_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_mean_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_sum_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_sum_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_searchsorted_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_select_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sgn_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sgn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_short_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_short_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_short_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sign_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_signbit_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_softmax_cuda_float16, 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test/test_decomp.py::TestDecompCUDA::test_quick_div_trunc_rounding_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_eq_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_erfc_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_erfc_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_exp_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_expand_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_expm1_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft2_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ihfft2_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ihfft_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_rfft_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_fill_cuda_float16, 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test/test_decomp.py::TestDecompCUDA::test_quick_index_add_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_index_add_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_index_add_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_index_add_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_index_add_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_index_copy_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_index_fill_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_isneginf_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_isposinf_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_item_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_lgamma_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_cross_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_tensor_overload_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_log2_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_log_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_log_normal_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_logical_not_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_logical_not_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_logical_or_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_logical_xor_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_logit_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_logspace_tensor_overload_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_meshgrid_list_of_tensors_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_meshgrid_variadic_tensors_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_mv_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_mvlgamma_mvlgamma_p_3_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_mvlgamma_mvlgamma_p_5_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_nansum_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_native_batch_norm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_new_full_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_elu_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_glu_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_hardshrink_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_hardswish_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_pad_constant_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_pad_constant_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_pad_constant_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_softplus_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_norm_inf_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_ones_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_ones_like_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_permute_copy_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_randn_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_randn_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_remainder_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_renorm_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_roll_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_roll_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_rsqrt_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_rsub_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_select_scatter_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_signbit_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_sin_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_sinc_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_sinh_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_special_entr_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_special_erfcx_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_special_i0e_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_special_i1_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_special_i1_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_special_i1e_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_special_ndtr_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_special_ndtr_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_special_ndtr_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_special_xlog1py_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_split_list_args_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_split_with_sizes_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_split_with_sizes_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_split_with_sizes_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_copy_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_copy_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_multiple_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_multiple_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_multiple_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_sum_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_take_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_tan_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_tanh_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_transpose_copy_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_transpose_copy_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_tril_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_tril_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_tril_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_triu_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_triu_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_triu_indices_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_unbind_copy_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_unbind_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_unfold_copy_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_uniform_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_unsafe_split_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_zero__cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_zero__cuda_int32, test/test_decomp.py::TestDecompCUDA::test_rnn_decomp_module_nn_GRU_eval_mode_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_rnn_decomp_module_nn_RNN_train_mode_cuda_float64, test/test_decomp.py::DecompOneOffTestsCUDA::test_threshold_backward_dtype_cuda 2025-12-04T12:55:03.9595440Z 2025-12-04T12:55:03.9595755Z Finished test_decomp 6/17 ... [2025-12-04 12:55:03.920941][12139.670480416], took 10.64min 2025-12-04T12:55:03.9596861Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-8b1f9ad5bab8e163.xml 2025-12-04T12:55:04.4302219Z Uploading artifacts took 0.41 seconds 2025-12-04T12:55:04.4307416Z Running test_decomp 11/17 ... [2025-12-04 12:55:04.430545][12140.180090173] 2025-12-04T12:55:04.4307930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T12:55:04.4311906Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '--shard-id=11', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 12:55:04.430953] 2025-12-04T13:08:05.6181491Z 2025-12-04T13:08:05.6182581Z test_decomp 11/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_11.17_f1b4077b2770ceb5_.log 2025-12-04T13:08:05.6379617Z Running 513 items in this shard: test/test_decomp.py::TestDecompCUDA::test_broadcasting_index_copy_cuda, test/test_decomp.py::TestDecompCUDA::test_comprehensive_H_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive___getitem___cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive___radd___cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rdiv___cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive___ror___cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rpow___cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rsub___cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rsub___cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive__segment_reduce_offsets_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive__unsafe_masked_index_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive__unsafe_masked_index_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive__unsafe_masked_index_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive__unsafe_masked_index_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_abs_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_abs_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_acosh_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_acosh_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_add_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_add_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addcmul_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addr_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_alias_copy_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_allclose_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_amin_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_angle_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_argmax_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_argsort_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_copy_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_partial_views_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_scatter_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_scatter_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atanh_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atanh_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atanh_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atleast_3d_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bitwise_not_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bitwise_xor_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bmm_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_broadcast_tensors_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_broadcast_tensors_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cdouble_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cfloat_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cfloat_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_chalf_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_char_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_char_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_chunk_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_clamp_min_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_conj_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_conj_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_conj_physical_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_constant_pad_nd_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_contiguous_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_corrcoef_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cos_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cosh_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cosh_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_count_nonzero_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cov_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cummin_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diag_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diag_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_dist_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_div_no_rounding_mode_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_div_no_rounding_mode_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_div_trunc_rounding_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_dot_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_double_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_like_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_like_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_permuted_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_erf_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_exp_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_exp_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_expand_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_exponential_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_eye_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_eye_cuda_float8_e5m2fnuz, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fft2_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fft_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fftn_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fftshift_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_hfft2_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_hfft2_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_hfft_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_hfft_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_hfftn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_hfftn_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifft2_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifft_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifft_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifftn_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifftshift_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ihfftn_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ihfftn_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfft2_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfft_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_rfft_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_flatten_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_flatten_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fmax_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fmod_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fmod_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ge_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_gradient_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_hstack_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_hstack_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_add_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_fill_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_fill_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_put_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_reduce_mean_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_reduce_mean_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isclose_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isfinite_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isfinite_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isinf_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isnan_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isnan_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isreal_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isreal_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isreal_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_istft_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_4inputs_with_extra_args_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_4inputs_with_extra_args_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_binary_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_binary_return_by_ref_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_unary_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_unary_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_lcm_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ldexp_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ldexp_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_le_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_le_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_det_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_diagonal_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_lstsq_grad_oriented_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_lu_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_lu_factor_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_norm_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_pinv_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_slogdet_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_solve_triangular_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_tensorinv_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_vector_norm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linspace_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log10_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log10_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log1p_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log1p_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logcumsumexp_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logdet_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_and_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_and_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_xor_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logspace_tensor_overload_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_cumprod_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_cumprod_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_fill_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_scatter_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_select_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_softmin_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_std_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_max_reduction_no_dim_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_max_reduction_no_dim_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mean_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_meshgrid_list_of_tensors_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_meshgrid_variadic_tensors_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_minimum_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_movedim_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_movedim_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_msort_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mul_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mul_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mv_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nan_to_num_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nanmedian_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nanmedian_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_narrow_copy_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_narrow_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_narrow_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_native_batch_norm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_neg_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_new_empty_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_new_empty_strided_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_new_full_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_adaptive_max_pool2d_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_alpha_dropout_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_avg_pool1d_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_batch_norm_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv1d_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv2d_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_elu_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_gaussian_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_interpolate_area_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_leaky_relu_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_local_response_norm_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_local_response_norm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_margin_ranking_loss_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_max_pool2d_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_max_unpool2d_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_max_unpool2d_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_max_unpool2d_grad_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_multilabel_margin_loss_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_circular_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_circular_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_constant_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_replicate_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_replicate_negative_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pairwise_distance_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pixel_shuffle_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pixel_shuffle_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pixel_unshuffle_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_poisson_nll_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_poisson_nll_loss_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_relu6_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_relu_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_softplus_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_threshold_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nonzero_cuda_bfloat16, 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test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_erfcx_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_hermite_polynomial_h_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_hermite_polynomial_he_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_hermite_polynomial_he_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_i0_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_ndtr_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_ndtr_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_polygamma_special_polygamma_n_0_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_polygamma_special_polygamma_n_0_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_scaled_modified_bessel_k0_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_shifted_chebyshev_polynomial_w_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_spherical_bessel_j0_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_list_args_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_multiple_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_stack_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_stack_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_std_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_std_mean_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_std_mean_unbiased_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sub_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sub_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sum_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sum_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_svd_lowrank_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_t_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_t_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tanh_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tensor_split_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tensor_split_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tensordot_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_to_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_transpose_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tril_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_true_divide_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_true_divide_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unbind_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unflatten_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unflatten_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unfold_copy_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unfold_copy_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unfold_copy_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unfold_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_uniform_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unique_consecutive_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unique_consecutive_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unique_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsafe_chunk_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsafe_split_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsafe_split_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsqueeze_copy_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsqueeze_copy_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsqueeze_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_var_mean_unbiased_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_var_unbiased_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vdot_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_as_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vsplit_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vstack_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_where_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_xlogy_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick__chunk_cat_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick__unsafe_masked_index_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick__unsafe_masked_index_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick__unsafe_masked_index_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick__unsafe_masked_index_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick__unsafe_masked_index_put_accumulate_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_abs_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_acos_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_acos_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_addr_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_alias_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_amin_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_aminmax_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_asinh_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_atanh_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_atanh_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_bitwise_and_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_bitwise_right_shift_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_bitwise_xor_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_block_diag_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_block_diag_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_cat_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_max_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_max_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_clone_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_clone_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_addcdiv_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_alias_copy_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_block_diag_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_clamp_max_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_expand_copy_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_nn_functional_hardshrink_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_special_log_ndtr_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_split_list_args_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_split_with_sizes_copy_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_std_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_std_unbiased_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_triu_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_cosh_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_cosh_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_cumprod_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_diag_embed_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_diag_embed_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_diagonal_scatter_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_div_trunc_rounding_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_empty_like_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_empty_strided_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_empty_strided_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_erf_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_erf_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_erfinv_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_erfinv_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_erfinv_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_expand_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_expm1_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fft2_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft2_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft2_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifftn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfft2_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfft2_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfft_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_rfft2_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_rfft_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_rfftn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_flip_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_flip_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_flip_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_floor_divide_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_fmax_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_gcd_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_ge_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_geometric_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_grid_sampler_2d_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_heaviside_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_i0_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_index_fill_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_index_select_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_index_select_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_isin_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_isinf_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_isposinf_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_lgamma_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_diagonal_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_diagonal_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_vector_norm_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_tensor_overload_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_tensor_overload_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_log1p_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_log2_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_logaddexp_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_logical_and_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_logical_and_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_logical_not_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_logit_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_logspace_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_masked_fill_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_masked_fill_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_mean_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_meshgrid_variadic_tensors_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_meshgrid_variadic_tensors_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_mul_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nansum_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_ne_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_new_empty_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_new_empty_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_new_full_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_new_ones_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_new_zeros_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_new_zeros_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_glu_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_hardtanh_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_leaky_relu_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_mish_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_ones_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_ones_like_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_ones_like_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_permute_copy_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_permute_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_pow_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_pow_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_prod_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_rad2deg_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_randn_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_reciprocal_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_renorm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_roll_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_round_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_round_decimals_0_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_rsqrt_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_rsqrt_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_rsub_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_select_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_select_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_select_scatter_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_sgn_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_signbit_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_signbit_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_special_i1_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_special_ndtr_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_split_list_args_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_split_with_sizes_copy_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_split_with_sizes_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_sqrt_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_copy_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_std_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_std_mean_unbiased_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_std_unbiased_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_sum_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_t_copy_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_t_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_trace_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_transpose_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_trunc_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_unfold_copy_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_unfold_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_uniform_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_unsafe_split_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_unsqueeze_copy_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_unsqueeze_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_var_mean_unbiased_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_var_unbiased_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_vdot_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_vdot_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_vdot_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_view_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_view_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_zero__cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_zeros_like_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_rnn_decomp_module_nn_GRU_train_mode_cuda_float32 2025-12-04T13:08:05.6576115Z 2025-12-04T13:08:05.6576430Z Finished test_decomp 11/17 ... [2025-12-04 13:08:05.618140][12921.367680213], took 13.02min 2025-12-04T13:08:05.6577542Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-af14a93ad73b6e87.xml 2025-12-04T13:08:05.7290457Z Running test_decomp 16/17 ... [2025-12-04 13:08:05.728729][12921.478272056] 2025-12-04T13:08:05.7292858Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T13:08:05.7295564Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_decomp.py', '--shard-id=16', '--num-shards=17', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 13:08:05.729209] 2025-12-04T13:17:46.1975229Z 2025-12-04T13:17:46.1976149Z test_decomp 16/17 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_16.17_8ae2a77759a884d9_.log 2025-12-04T13:17:46.2167650Z Running 497 items in this shard: test/test_decomp.py::TestDecompCUDA::test_comprehensive_T_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rdiv___cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rdiv___cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rsub___cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive___rxor___cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive__chunk_cat_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive__chunk_cat_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive__unsafe_masked_index_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive__unsafe_masked_index_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addbmm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addbmm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addcdiv_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_addmv_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_all_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_all_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_allclose_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_angle_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_argmax_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_argmax_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_argmin_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_argwhere_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_partial_views_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_scatter_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_as_strided_scatter_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atan2_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atan2_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atleast_1d_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atleast_1d_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_atleast_2d_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_baddbmm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bfloat16_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bincount_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bitwise_left_shift_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bitwise_not_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bitwise_right_shift_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_block_diag_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_bmm_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_broadcast_tensors_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_broadcast_to_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cat_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cat_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cdouble_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cdouble_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cfloat_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_clamp_min_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_conj_physical_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_count_nonzero_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cross_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cumprod_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cumsum_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cumsum_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cumulative_trapezoid_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cumulative_trapezoid_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_cumulative_trapezoid_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_deg2rad_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diag_embed_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diagonal_copy_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diagonal_copy_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diagonal_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diagonal_scatter_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_diff_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_digamma_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_digamma_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_div_floor_rounding_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_div_floor_rounding_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_div_no_rounding_mode_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_double_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_double_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_like_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_permuted_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_strided_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_strided_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_empty_strided_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_equal_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_erf_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_erfc_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_exp_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_exp_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_expand_copy_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_expand_copy_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_expand_copy_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_expand_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fft2_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fft2_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fft2_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fft_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_fftn_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_hfftn_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifft2_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifft_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifft_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ifft_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_ihfft_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfft_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfft_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfftn_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fft_irfftn_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fill_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fliplr_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fliplr_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fliplr_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_float_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_float_power_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fmax_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_fmax_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ge_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_geqrf_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_half_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_histc_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_hsplit_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_hsplit_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_igamma_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_copy_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_copy_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_put_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_put_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_index_reduce_amin_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_int_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isnan_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isnan_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_isposinf_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_item_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_binary_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_unary_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_unary_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_jiterator_unary_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_kron_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_kron_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_kthvalue_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_kthvalue_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_kthvalue_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_le_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_lerp_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_lgamma_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_cross_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_cross_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_diagonal_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_matrix_rank_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_matrix_rank_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_norm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linalg_qr_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linspace_tensor_overload_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_linspace_tensor_overload_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log1p_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_log_softmax_with_dtype_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logaddexp_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_not_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_not_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_not_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logical_or_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logit_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logit_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logspace_tensor_overload_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_logsumexp_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_long_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_lu_unpack_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mH_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mT_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_amax_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_amin_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_argmax_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_argmin_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_argmin_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_cumprod_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_cumprod_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_cumsum_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_logaddexp_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_softmax_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_masked_std_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_matrix_exp_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_matrix_exp_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_max_binary_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_max_reduction_no_dim_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_maximum_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_median_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_min_binary_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_min_reduction_no_dim_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_minimum_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mm_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mode_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_movedim_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_movedim_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mul_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_mul_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_multinomial_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nan_to_num_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nansum_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_narrow_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_native_dropout_backward_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ne_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ne_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_neg_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_new_empty_strided_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_new_full_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_new_full_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_new_ones_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_adaptive_max_pool3d_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_channel_shuffle_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_channel_shuffle_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_channel_shuffle_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv2d_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv_transpose2d_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_conv_transpose2d_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_elu_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_fractional_max_pool2d_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_fractional_max_pool3d_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_fractional_max_pool3d_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_gaussian_nll_loss_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_group_norm_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_hardswish_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_hinge_embedding_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_instance_norm_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_interpolate_bicubic_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_interpolate_bilinear_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_interpolate_trilinear_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_l1_loss_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_logsigmoid_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_margin_ranking_loss_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_multi_margin_loss_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_normalize_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_reflect_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pad_replicate_negative_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pixel_shuffle_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_pixel_unshuffle_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_rrelu_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_soft_margin_loss_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_softmin_with_dtype_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nonzero_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nonzero_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_nonzero_static_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_norm_fro_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ormqr_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_polygamma_polygamma_n_1_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_polygamma_polygamma_n_3_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_polygamma_polygamma_n_4_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_polygamma_polygamma_n_4_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_prod_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_put_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_put_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_ravel_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_real_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_repeat_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_repeat_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_repeat_interleave_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_reshape_as_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_resize__cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_resize_as__cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_roll_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_rsqrt_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_add_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_mean_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_prod_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_scatter_reduce_sum_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_searchsorted_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_select_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_select_scatter_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_short_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_short_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sign_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_signbit_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_signbit_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sin_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sinc_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_slice_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_airy_ai_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_airy_ai_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_bessel_j0_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_bessel_y1_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_bessel_y1_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_entr_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_entr_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_erfcx_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_erfcx_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_hermite_polynomial_he_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_i1e_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_i0_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_i1_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_k0_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_modified_bessel_k1_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_ndtr_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_ndtri_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_polygamma_special_polygamma_n_0_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_scaled_modified_bessel_k1_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_shifted_chebyshev_polynomial_t_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_shifted_chebyshev_polynomial_u_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_shifted_chebyshev_polynomial_v_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_special_xlog1py_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_with_sizes_copy_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_split_with_sizes_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_square_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_copy_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_copy_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_copy_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_squeeze_multiple_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_std_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_std_unbiased_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_stft_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_sum_to_size_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_t_copy_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_take_along_dim_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_take_along_dim_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tanh_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_to_sparse_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_torch_ops_aten__safe_softmax_default_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_trace_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_tril_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_triu_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_triu_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unfold_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unique_consecutive_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unique_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unique_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unravel_index_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsafe_chunk_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsafe_chunk_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsafe_split_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsafe_split_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsqueeze_copy_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_comprehensive_unsqueeze_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_view_copy_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vstack_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_comprehensive_vstack_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_comprehensive_zero__cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_comprehensive_zeros_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick__softmax_backward_data_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_abs_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_add_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_addmm_decomposed_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_alias_copy_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_all_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_arange_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_arange_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_asin_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_atan2_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_atanh_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_bitwise_not_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_block_diag_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_cat_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_min_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_clamp_min_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_clone_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_clone_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_complex_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_conj_physical_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_constant_pad_nd_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_nn_functional_glu_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_rot90_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_sgn_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_sinc_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_core_backward_tril_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_cos_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_deg2rad_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_deg2rad_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_diagonal_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_diagonal_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_diagonal_scatter_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_diagonal_scatter_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_dist_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_div_floor_rounding_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_div_floor_rounding_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_div_no_rounding_mode_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_div_no_rounding_mode_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_empty_like_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_empty_like_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_eq_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_eq_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_erf_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_erf_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_exp2_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_exp2_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_exp2_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_exp_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_eye_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_eye_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fft2_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fft2_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fft_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fft_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fft_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_fftn_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_hfft_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ifft_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_fft_ihfft2_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfft2_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfft2_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfftn_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_fft_irfftn_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_fill_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_floor_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_fmod_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_fmod_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_frac_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_frac_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_frexp_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_full_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_gt_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_heaviside_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_index_copy_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_index_fill_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_index_select_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_isposinf_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_item_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_lcm_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_lcm_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_le_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_lgamma_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_lgamma_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_linalg_vector_norm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_linspace_tensor_overload_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_log10_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_log10_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_log2_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_logical_not_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_logical_or_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_logsumexp_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_masked_fill_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_mean_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_mvlgamma_mvlgamma_p_1_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_mvlgamma_mvlgamma_p_3_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_mvlgamma_mvlgamma_p_3_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_nan_to_num_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_narrow_copy_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_native_batch_norm_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_ne_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_ne_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_neg_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_neg_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_new_full_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_new_ones_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_new_zeros_cuda_complex32, test/test_decomp.py::TestDecompCUDA::test_quick_new_zeros_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_hardtanh_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_max_unpool3d_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_relu_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_nn_functional_softplus_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_normal_number_mean_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_permute_copy_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_pow_cuda_complex64, test/test_decomp.py::TestDecompCUDA::test_quick_pow_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_prod_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_reciprocal_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_remainder_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_renorm_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_repeat_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_round_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_round_decimals_3_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_rsqrt_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_select_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_sgn_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_signbit_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_slice_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_slice_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_special_i0e_cuda_float16, test/test_decomp.py::TestDecompCUDA::test_quick_special_i1_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_special_i1e_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_special_i1e_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_special_ndtr_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_split_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_copy_cuda_int16, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_squeeze_multiple_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_std_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_sub_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_sum_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_take_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_tanh_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_trace_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_transpose_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_triu_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_unbind_copy_cuda_int8, test/test_decomp.py::TestDecompCUDA::test_quick_unfold_copy_cuda_int32, test/test_decomp.py::TestDecompCUDA::test_quick_unsafe_split_cuda_float64, test/test_decomp.py::TestDecompCUDA::test_quick_unsafe_split_cuda_uint8, test/test_decomp.py::TestDecompCUDA::test_quick_unsqueeze_copy_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_vdot_cuda_complex128, test/test_decomp.py::TestDecompCUDA::test_quick_view_copy_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_view_copy_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_quick_view_cuda_float32, test/test_decomp.py::TestDecompCUDA::test_quick_where_cuda_bfloat16, test/test_decomp.py::TestDecompCUDA::test_quick_zeros_like_cuda_bool, test/test_decomp.py::TestDecompCUDA::test_quick_zeros_like_cuda_int64, test/test_decomp.py::TestDecompCUDA::test_rnn_decomp_module_nn_GRU_eval_mode_cuda_float32, test/test_decomp.py::DecompOneOffTestsCUDA::test_weight_norm_interface_cuda 2025-12-04T13:17:46.2356495Z 2025-12-04T13:17:46.2356831Z Finished test_decomp 16/17 ... [2025-12-04 13:17:46.198017][13501.947560783], took 9.67min 2025-12-04T13:17:46.2357922Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_decomp/test_decomp-f3579fb4fc88b1e5.xml 2025-12-04T13:17:46.6919382Z Uploading artifacts took 0.39 seconds 2025-12-04T13:17:46.6923977Z Running test_meta 4/5 ... [2025-12-04 13:17:46.692221][13502.441765867] 2025-12-04T13:17:46.6924486Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T13:17:46.6929129Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_meta.py', '--shard-id=4', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 13:17:46.692693] 2025-12-04T13:41:44.4686990Z 2025-12-04T13:41:44.4687830Z test_meta 4/5 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_4.5_aee26956c3c36c94_.log 2025-12-04T13:41:44.8160668Z Running 8180 items in this shard: test/test_meta.py::TestMetaConverter::test_channels_last, test/test_meta.py::TestMetaConverter::test_empty_strided_non_dense_leaf, test/test_meta.py::TestMetaConverter::test_requires_grad_false, test/test_meta.py::TestMetaConverter::test_view_as_complex, test/test_meta.py::TestMetaConverter::test_view_as_real, test/test_meta.py::TestMetaCUDA::test_batch_norm_backward_output_mask2_cuda, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype___radd___cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype___rdiv___cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_clamp_max_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_float_power_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_ge_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_heaviside_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_hypot_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_logical_or_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_lt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_maximum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_mul_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_rsub_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype__refs_special_zeta_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_clamp_max_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_complex_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_div_no_rounding_mode_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_float_power_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_floor_divide_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_fmax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_ge_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_hypot_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_isclose_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_ldexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_logical_and_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_logical_xor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_maximum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_minimum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_rsub_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_special_hermite_polynomial_h_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_special_hermite_polynomial_he_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_special_laguerre_polynomial_l_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_special_legendre_polynomial_p_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_special_xlog1py_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_true_divide_cuda_float32, test/test_meta.py::TestMetaCUDA::test_binary_ufuncs_mixed_dtype_xlogy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_H_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_H_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_H_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace___getitem___cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace___getitem___cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace___getitem___cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace___getitem___cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace___getitem___cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace___radd___cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace___radd___cuda_bool, 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test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__chunk_cat_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_abs_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_abs_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_abs_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_acos_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_acos_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_add_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_add_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_addcdiv_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_addcmul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_addcmul_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_addcmul_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_addcmul_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_asin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_asin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_atan_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_atan_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_atan_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_atan_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_atan_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_ceil_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_ceil_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_clamp_max_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_clamp_max_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_clamp_max_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_clamp_min_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_clamp_min_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_clamp_min_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_clamp_min_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_cos_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_cosh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_div_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_div_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_div_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_div_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_erf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_erf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_erfc_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_erfc_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_exp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_exp_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_exp_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_expm1_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_expm1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_expm1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_floor_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_floor_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_floor_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_frac_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_frac_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_frac_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_lerp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_lerp_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_lgamma_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_lgamma_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_lgamma_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log10_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log10_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log10_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log10_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log1p_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log2_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_log_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_max_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_max_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_maximum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_maximum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_maximum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_minimum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_minimum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_minimum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_mul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_mul_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_mul_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_neg_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_neg_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_norm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_norm_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_norm_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_pow_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_pow_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_pow_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_pow_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_pow_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_reciprocal_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_reciprocal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_round_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_round_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_round_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_round_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_round_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_rsqrt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sigmoid_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sigmoid_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sigmoid_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sign_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sign_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sin_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sinh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sinh_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sinh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_sqrt_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_tan_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_tan_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_tanh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_tanh_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_trunc_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__foreach_zero_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__segment_reduce_lengths_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__unsafe_masked_index_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__unsafe_masked_index_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__unsafe_masked_index_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace__unsafe_masked_index_put_accumulate_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_abs_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_abs_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_abs_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_abs_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_acos_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_acos_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_acosh_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_acosh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_acosh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_add_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_add_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addcdiv_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addcmul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addcmul_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addmm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addmm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addmm_decomposed_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addmv_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addr_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_addr_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_alias_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_alias_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_alias_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_alias_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_all_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_all_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_all_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_all_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_all_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_allclose_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_amax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_amax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_amin_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_amin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_amin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_aminmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_angle_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_angle_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_any_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_any_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_argmax_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_argmin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_argmin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_argwhere_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_argwhere_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_as_strided_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_as_strided_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_as_strided_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_as_strided_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_as_strided_partial_views_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_as_strided_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_as_strided_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_asin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_asinh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_asinh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atan2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atan2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atan2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atan_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atan_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atan_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atan_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atan_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atanh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atanh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atanh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atanh_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atleast_1d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atleast_1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atleast_1d_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atleast_2d_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atleast_2d_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atleast_2d_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atleast_3d_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atleast_3d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_atleast_3d_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_baddbmm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_baddbmm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bernoulli_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bfloat16_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bfloat16_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bfloat16_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bincount_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bincount_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bitwise_or_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bitwise_or_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bitwise_right_shift_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_block_diag_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_block_diag_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_block_diag_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bool_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bool_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_broadcast_tensors_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_broadcast_tensors_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_broadcast_tensors_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_broadcast_to_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_broadcast_to_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_broadcast_to_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bucketize_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_bucketize_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_byte_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_byte_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cartesian_prod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cartesian_prod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cat_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cat_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cdouble_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cdouble_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cfloat_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cfloat_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cfloat_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cfloat_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_chalf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_chalf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_char_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_char_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cholesky_inverse_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_chunk_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_chunk_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_chunk_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_clamp_max_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_clamp_max_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_clamp_max_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_clamp_min_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_clone_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_clone_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_clone_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_clone_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_column_stack_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_column_stack_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_column_stack_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_column_stack_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_column_stack_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_combinations_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_combinations_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_combinations_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_complex_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_complex_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_conj_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_conj_physical_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_conj_physical_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_constant_pad_nd_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_constant_pad_nd_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_constant_pad_nd_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_contiguous_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_contiguous_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_contiguous_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_copysign_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_copysign_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_corrcoef_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cos_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cos_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cos_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_count_nonzero_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_count_nonzero_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_count_nonzero_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_count_nonzero_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cov_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cross_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cross_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cross_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cross_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cummin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cummin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cumprod_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cumprod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cumsum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cumsum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cumsum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_cumulative_trapezoid_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diag_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diag_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diag_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diag_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diag_embed_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diag_embed_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diag_embed_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diag_embed_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagflat_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagflat_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagflat_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagonal_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagonal_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagonal_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagonal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagonal_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagonal_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diagonal_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diff_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diff_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_diff_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_div_floor_rounding_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_div_floor_rounding_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_div_floor_rounding_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_div_no_rounding_mode_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_div_no_rounding_mode_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_div_no_rounding_mode_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_div_no_rounding_mode_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_div_trunc_rounding_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_div_trunc_rounding_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_double_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_double_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_dsplit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_dsplit_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_dsplit_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_dsplit_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_dstack_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_einsum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_einsum_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_einsum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_empty_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_empty_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_empty_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_empty_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_empty_like_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_empty_like_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_empty_like_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_empty_strided_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_empty_strided_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_eq_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_eq_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_eq_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_equal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_equal_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_equal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_equal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_equal_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_erf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_erf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_erfinv_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_erfinv_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_erfinv_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_exp2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_exp2_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_exp2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_exp_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_exp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expand_as_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expand_as_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expand_as_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expand_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expand_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expand_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expand_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expand_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expm1_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_expm1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_eye_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_eye_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_eye_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_eye_cuda_float8_e5m2, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_eye_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_fft2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_fft2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_fft2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_fft_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_fftn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_fftn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_fftshift_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_fftshift_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_hfft2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_hfft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_hfft_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_hfft_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_hfft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_hfftn_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifft2_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifft2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifft_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifft_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifft_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifftn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifftshift_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifftshift_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifftshift_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifftshift_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ifftshift_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ihfft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ihfft2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ihfft_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ihfftn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ihfftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_ihfftn_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_irfft2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_irfft2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_irfft_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_irfft_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_irfftn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_irfftn_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_rfft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_rfft2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_rfft2_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_rfft2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_rfft_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_rfft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fft_rfftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fill_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fill_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_flatten_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_flatten_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_flatten_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_flip_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fliplr_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fliplr_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_flipud_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_flipud_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_flipud_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_float_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_float_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_float_power_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_float_power_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_float_power_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_floor_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_floor_divide_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_floor_divide_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_floor_divide_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_floor_divide_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fmax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fmax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fmin_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fmin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_fmin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_frexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_full_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_full_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_full_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_full_like_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_full_like_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_full_like_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_full_like_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_full_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_gather_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_gather_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_gather_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_gather_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ge_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ge_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_geometric_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_geometric_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_geqrf_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_gradient_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_grid_sampler_3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_gt_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_half_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_hash_tensor_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_heaviside_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_histc_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_histc_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_histc_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_hsplit_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_hsplit_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_hstack_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_hstack_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_i0_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_igamma_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_igammac_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_imag_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_add_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_add_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_fill_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_fill_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_fill_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_put_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_put_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_put_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_amax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_amax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_amin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_amin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_mean_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_mean_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_mean_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_mean_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_reduce_prod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_select_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_index_select_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_inner_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_int_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_int_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isclose_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isfinite_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isfinite_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isinf_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isinf_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isnan_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isnan_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isneginf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isneginf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isposinf_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isposinf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isposinf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isposinf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isposinf_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isreal_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isreal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isreal_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_isreal_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_item_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_2inputs_2outputs_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_4inputs_with_extra_args_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_binary_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_binary_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_binary_return_by_ref_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_unary_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_jiterator_unary_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_kron_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_kron_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_kron_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_kthvalue_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_kthvalue_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ldexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ldexp_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ldexp_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ldexp_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_le_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_le_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_le_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lgamma_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lgamma_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lgamma_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lgamma_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lgamma_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_det_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_diagonal_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_eig_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_eigvals_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_eigvalsh_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_householder_product_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_inv_ex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_ldl_factor_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_ldl_factor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_ldl_factor_ex_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_ldl_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_lstsq_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_lstsq_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_lu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_lu_factor_ex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_lu_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_matrix_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_matrix_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_matrix_rank_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_matrix_rank_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_pinv_singular_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_pinv_singular_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_qr_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_slogdet_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_solve_ex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_solve_ex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_svd_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_svdvals_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_tensorsolve_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_tensorsolve_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_vecdot_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linalg_vector_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linspace_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linspace_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linspace_tensor_overload_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linspace_tensor_overload_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_linspace_tensor_overload_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log10_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log1p_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log1p_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log1p_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log1p_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log2_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log_normal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log_normal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_log_softmax_with_dtype_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logaddexp2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logcumsumexp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logcumsumexp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logcumsumexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logdet_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_and_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_and_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_and_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_and_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_not_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_not_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_not_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_or_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_or_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_xor_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_xor_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_xor_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logical_xor_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logit_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logspace_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logspace_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logspace_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logspace_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logspace_tensor_overload_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logspace_tensor_overload_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logsumexp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logsumexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logsumexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logsumexp_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_logsumexp_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_long_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_long_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_long_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lt_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lt_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lt_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lu_solve_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lu_unpack_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lu_unpack_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_lu_unpack_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mH_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mH_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mH_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mH_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mH_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mT_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_amin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_amin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_amin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_argmax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_argmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_argmax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_argmax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_argmin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_argmin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_argmin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_cumprod_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_cumprod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_cumsum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_cumsum_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_fill_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_fill_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_fill_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_logaddexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_logaddexp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_logsumexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_logsumexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_logsumexp_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_mean_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_normalize_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_normalize_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_prod_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_prod_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_select_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_select_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_select_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_select_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_softmax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_softmax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_softmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_sum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_sum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_sum_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_sum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_sum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_var_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_var_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_var_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_var_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_masked_var_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_matmul_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_max_binary_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_max_binary_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_max_pool2d_with_indices_backward_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_max_reduction_no_dim_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_max_reduction_no_dim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_max_reduction_with_dim_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_max_reduction_with_dim_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mean_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_binary_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_binary_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_no_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_no_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_no_dim_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_no_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_no_dim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_no_dim_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_with_dim_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_with_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_with_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_min_reduction_with_dim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_minimum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_minimum_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_minimum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_movedim_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_msort_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_msort_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mul_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mul_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mul_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nan_to_num_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nanmean_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nanmean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nanmedian_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nanmedian_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nansum_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nansum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_narrow_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_narrow_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_narrow_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_narrow_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_narrow_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_narrow_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_narrow_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_native_batch_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_native_batch_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_native_dropout_backward_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_native_layer_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_native_layer_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ne_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_neg_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_neg_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_neg_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_empty_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_empty_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_empty_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_empty_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_empty_strided_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_empty_strided_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_empty_strided_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_empty_strided_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_full_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_full_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_ones_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_ones_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_ones_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_zeros_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_zeros_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_new_zeros_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_avg_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_avg_pool3d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_batch_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_batch_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_bilinear_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_bilinear_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv1d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv3d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv_transpose1d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv_transpose2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv_transpose3d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_conv_transpose3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_glu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_glu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_grid_sample_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_grid_sample_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_group_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_hardswish_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_hardtanh_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_hinge_embedding_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_instance_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_interpolate_area_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_interpolate_area_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_interpolate_bicubic_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_interpolate_bilinear_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_interpolate_linear_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_interpolate_linear_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_interpolate_nearest-exact_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_interpolate_nearest_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_kl_div_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_l1_loss_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_l1_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_layer_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_leaky_relu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_linear_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_margin_ranking_loss_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_max_pool1d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_max_pool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_max_pool3d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_max_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_max_unpool1d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_max_unpool1d_grad_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_max_unpool2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_max_unpool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_max_unpool3d_grad_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_mse_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_multilabel_margin_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_normalize_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_one_hot_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pad_circular_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pad_constant_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pad_replicate_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pad_replicate_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pad_replicate_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pad_replicate_negative_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pairwise_distance_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pixel_shuffle_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_pixel_unshuffle_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_poisson_nll_loss_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_relu6_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_relu6_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_relu6_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_relu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_relu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_relu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_rms_norm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_rms_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_rrelu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_rrelu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_selu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_selu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_silu_complex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_silu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_smooth_l1_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_softmin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_softmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_softmin_with_dtype_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_softplus_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_softshrink_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_softsign_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_softsign_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_tanhshrink_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_threshold_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_threshold_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_threshold_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_triplet_margin_loss_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nn_functional_unfold_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nonzero_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nonzero_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nonzero_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nonzero_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nonzero_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nonzero_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nonzero_static_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_nonzero_static_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_norm_fro_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_norm_inf_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_normal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_normal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_normal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ones_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ones_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ones_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ones_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ones_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ones_like_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_outer_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_outer_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_pca_lowrank_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_permute_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_permute_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_permute_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_permute_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_pinverse_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_pinverse_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_1_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_3_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_polygamma_polygamma_n_4_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_positive_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_pow_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_prod_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_prod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_put_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_quantile_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rad2deg_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rad2deg_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rad2deg_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rand_like_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rand_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_randint_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_randint_like_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_randint_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_randint_like_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_randint_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_randn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_randn_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_randn_like_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_randn_like_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ravel_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ravel_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ravel_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ravel_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ravel_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_ravel_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_real_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_real_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_reciprocal_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_remainder_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_remainder_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_renorm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_repeat_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_repeat_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_repeat_interleave_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_repeat_interleave_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_repeat_interleave_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_reshape_as_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_reshape_as_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_reshape_as_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_reshape_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_resize__cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_resize__cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_resize_as__cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_resize_as__cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_resolve_conj_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_resolve_neg_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_resolve_neg_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_resolve_neg_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_roll_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rot90_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rot90_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_round_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rsqrt_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rsqrt_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_rsub_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scalar_tensor_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scalar_tensor_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_add_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_amax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_amax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_amin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_mean_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_mean_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_prod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_prod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_prod_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_sum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_scatter_reduce_sum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_searchsorted_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_searchsorted_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_select_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_select_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_select_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_select_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_select_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_select_scatter_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_select_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_select_scatter_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sgn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sgn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sgn_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_short_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_short_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sigmoid_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sigmoid_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sigmoid_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sigmoid_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sigmoid_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sigmoid_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sigmoid_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_signal_windows_blackman_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_signal_windows_general_cosine_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sin_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sinc_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sinh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sinh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_slice_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_slice_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_slice_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_slice_scatter_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_slice_scatter_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_slice_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_slice_scatter_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_softmax_with_dtype_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_softmax_with_dtype_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sort_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sort_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_airy_ai_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_bessel_j1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_bessel_j1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_bessel_y0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_bessel_y1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_bessel_y1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_bessel_y1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_chebyshev_polynomial_t_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_chebyshev_polynomial_u_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_chebyshev_polynomial_v_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_chebyshev_polynomial_w_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_entr_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_entr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_erfcx_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_hermite_polynomial_h_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_hermite_polynomial_he_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_i0e_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_i0e_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_i1_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_i1e_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_i1e_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_i1e_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_i1e_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_laguerre_polynomial_l_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_log_ndtr_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_modified_bessel_i0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_modified_bessel_k1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_ndtr_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_ndtr_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_ndtri_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_ndtri_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_scaled_modified_bessel_k0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_scaled_modified_bessel_k1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_spherical_bessel_j0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_xlog1py_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_zeta_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_special_zeta_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_list_args_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_list_args_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_with_sizes_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_with_sizes_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_with_sizes_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_with_sizes_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_with_sizes_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_with_sizes_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_split_with_sizes_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sqrt_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sqrt_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sqrt_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sqrt_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_square_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_square_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_square_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_squeeze_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_squeeze_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_squeeze_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_squeeze_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_squeeze_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_squeeze_multiple_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_squeeze_multiple_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_squeeze_multiple_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_squeeze_multiple_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_stack_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_stack_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_stack_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_std_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_std_mean_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_std_mean_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_std_mean_unbiased_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_stft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sub_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sub_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sub_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sub_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sub_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sub_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sum_to_size_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sum_to_size_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sum_to_size_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_sum_to_size_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_svd_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_svd_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_t_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_t_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_t_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_take_along_dim_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_take_along_dim_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_take_along_dim_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_take_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_take_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_take_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_take_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tan_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tan_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tanh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tanh_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tensor_split_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tensordot_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tensordot_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tensordot_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tile_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_to_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_to_sparse_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_topk_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_topk_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_torch__scaled_mm_cuda_float8_e4m3fn, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_torch_ops_aten__flash_attention_forward_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trace_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_transpose_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_transpose_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_transpose_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_transpose_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_transpose_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_transpose_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_transpose_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trapezoid_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trapz_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trapz_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trapz_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trapz_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trapz_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trapz_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_tril_indices_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_triu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_triu_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_true_divide_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_true_divide_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_true_divide_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trunc_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trunc_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_trunc_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unbind_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unbind_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unbind_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unbind_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unbind_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unflatten_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unflatten_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unflatten_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unflatten_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unflatten_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unfold_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unfold_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unfold_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unique_consecutive_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unique_consecutive_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unique_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unique_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unique_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unravel_index_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unravel_index_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unravel_index_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsafe_chunk_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsafe_chunk_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsafe_chunk_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsqueeze_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsqueeze_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsqueeze_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsqueeze_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsqueeze_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsqueeze_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsqueeze_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_unsqueeze_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_inplace_var_cuda_float16, 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test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_round_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_round_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sigmoid_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sign_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sign_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sign_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sin_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sinh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sinh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sqrt_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sqrt_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sqrt_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sub_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sub_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sub_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_sub_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_tan_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_tan_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_tanh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_tanh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_trunc_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_trunc_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_trunc_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__foreach_zero_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__native_batch_norm_legit_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__native_batch_norm_legit_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__segment_reduce_offsets_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__unsafe_masked_index_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__unsafe_masked_index_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace__unsafe_masked_index_put_accumulate_cuda_complex64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_argmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_argmin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_argmin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_argwhere_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_as_strided_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_as_strided_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_as_strided_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_as_strided_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_as_strided_partial_views_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_as_strided_partial_views_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_as_strided_scatter_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_asin_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_asin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_asin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_asin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_asin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_asinh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_asinh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_asinh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_asinh_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atan2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atan2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atan2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atan_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atan_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atanh_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atanh_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atanh_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atanh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atanh_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_1d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_1d_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_2d_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_2d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_2d_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_3d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_3d_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_3d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_3d_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_3d_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_atleast_3d_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bernoulli_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bernoulli_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bfloat16_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bfloat16_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bitwise_left_shift_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bitwise_not_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bitwise_not_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bitwise_not_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bitwise_or_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bitwise_or_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bitwise_right_shift_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_block_diag_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bmm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bool_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bool_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_broadcast_tensors_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_broadcast_tensors_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_broadcast_to_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_broadcast_to_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_bucketize_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_byte_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_byte_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cartesian_prod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cartesian_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cat_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cat_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cat_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cat_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cat_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cat_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cauchy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cdouble_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cdouble_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cdouble_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ceil_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ceil_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cfloat_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_chalf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_char_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_char_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cholesky_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cholesky_inverse_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cholesky_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_chunk_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_chunk_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_chunk_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_chunk_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_clamp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_clamp_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_clamp_max_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_clamp_min_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_clamp_min_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_clone_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_clone_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_column_stack_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_column_stack_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_combinations_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_combinations_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_combinations_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_complex_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_conj_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_conj_physical_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_conj_physical_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_constant_pad_nd_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_constant_pad_nd_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_constant_pad_nd_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_contiguous_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_contiguous_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_corrcoef_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_corrcoef_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_corrcoef_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_corrcoef_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cos_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cos_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cos_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cosh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cosh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cosh_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_count_nonzero_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_count_nonzero_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cov_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cov_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cross_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cummax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cummin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cumprod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cumprod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cumprod_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cumprod_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cumsum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cumsum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_cumulative_trapezoid_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diag_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diag_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diag_embed_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagflat_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_scatter_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diagonal_scatter_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_diff_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_digamma_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_dist_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_div_floor_rounding_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_div_floor_rounding_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_div_floor_rounding_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_div_no_rounding_mode_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_div_no_rounding_mode_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_div_no_rounding_mode_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_div_trunc_rounding_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_div_trunc_rounding_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_dot_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_double_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_double_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_double_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_dsplit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_dsplit_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_dsplit_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_dstack_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_dstack_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_einsum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_like_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_like_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_like_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_like_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_permuted_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_permuted_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_permuted_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_permuted_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_empty_strided_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_eq_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_equal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_equal_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_erf_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_erf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_erf_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_erfc_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_erfc_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_erfinv_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_exp2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_exp2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_exp2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_exp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_exp_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_expand_as_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_expand_as_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_expand_as_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_expand_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_expand_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_expand_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_expm1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_expm1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_exponential_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_eye_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_eye_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_fft2_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_fft2_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_fft2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_fft2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_fft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_fftn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_fftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_fftshift_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_hfft2_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_hfft_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_hfft_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_hfftn_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifft2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifft2_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifft2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifftshift_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifftshift_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifftshift_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ifftshift_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ihfft2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ihfft_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ihfft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ihfft_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ihfftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_ihfftn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_irfft2_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_irfft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_irfft2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_irfft_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_irfftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_irfftn_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_irfftn_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_rfft2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_rfft_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_rfft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_rfft_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fft_rfftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fill_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fill_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fill_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_flatten_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_flatten_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_flatten_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_flip_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fliplr_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fliplr_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fliplr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fliplr_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fliplr_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_flipud_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_flipud_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_flipud_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_flipud_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_float_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_float_power_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_floor_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_floor_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_floor_divide_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fmax_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fmin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fmod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fmod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_fmod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_frac_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_frexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_full_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_full_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_full_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_full_like_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_full_like_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_full_like_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_full_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_gather_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_gcd_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_gcd_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ge_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ge_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ge_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_geometric_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_geometric_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_gradient_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_grid_sampler_2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_grid_sampler_3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_grid_sampler_3d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_gt_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_gt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_gt_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_gt_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_half_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_half_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_heaviside_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_heaviside_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_hsplit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_hsplit_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_hsplit_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_hstack_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_hstack_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_hstack_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_i0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_imag_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_imag_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_add_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_fill_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_fill_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_fill_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_fill_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_fill_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_fill_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_fill_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_fill_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_put_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_put_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_put_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_put_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_put_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_reduce_amax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_reduce_amax_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_reduce_amin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_reduce_amin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_reduce_amin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_reduce_mean_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_reduce_mean_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_reduce_mean_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_reduce_prod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_select_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_index_select_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_inner_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_int_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isclose_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isclose_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isclose_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isfinite_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isfinite_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isfinite_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isinf_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isinf_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isinf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isinf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isinf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isinf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isnan_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isnan_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isnan_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isnan_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isnan_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isneginf_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isneginf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isneginf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isposinf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isposinf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isreal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isreal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_isreal_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_istft_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_item_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_item_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_item_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_jiterator_2inputs_2outputs_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_jiterator_binary_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_jiterator_binary_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_jiterator_binary_return_by_ref_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_jiterator_unary_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_kron_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_kron_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_kron_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_kthvalue_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_kthvalue_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_lcm_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ldexp_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ldexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_le_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_le_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_le_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_le_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_lgamma_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_lgamma_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_cholesky_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_cholesky_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_cholesky_ex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_cond_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_cross_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_diagonal_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_diagonal_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_diagonal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_eig_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_eigvalsh_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_inv_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_inv_ex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_ldl_factor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_lstsq_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_lstsq_grad_oriented_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_lstsq_grad_oriented_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_lu_factor_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_lu_factor_ex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_lu_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_lu_solve_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_matrix_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_matrix_rank_hermitian_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_pinv_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_pinv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_pinv_hermitian_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_pinv_singular_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_slogdet_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_solve_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_solve_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_svd_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_svdvals_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_tensorinv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_vander_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_vecdot_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linalg_vector_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linspace_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linspace_tensor_overload_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linspace_tensor_overload_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linspace_tensor_overload_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linspace_tensor_overload_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_linspace_tensor_overload_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log10_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log10_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log10_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log10_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log10_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log1p_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log1p_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log1p_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log2_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log_softmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_log_softmax_with_dtype_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logaddexp2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logcumsumexp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_and_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_and_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_not_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_not_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_or_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_or_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_or_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_xor_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_xor_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_xor_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logical_xor_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logit_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logspace_tensor_overload_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logspace_tensor_overload_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logsumexp_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logsumexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_logsumexp_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_long_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_long_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_lt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_lu_solve_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_lu_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mH_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mH_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mH_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mH_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mH_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mT_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mT_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mT_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_amin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_amin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_argmax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_argmax_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_argmin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_argmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_cumsum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_cumsum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_fill_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_fill_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_fill_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_fill_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_fill_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_log_softmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_logaddexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_logsumexp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_logsumexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_mean_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_median_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_normalize_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_scatter_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_select_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_select_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_select_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_select_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_softmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_softmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_softmin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_std_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_std_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_std_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_std_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_std_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_std_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_sum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_sum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_sum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_var_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_masked_var_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_matmul_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_matmul_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_matrix_exp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_matrix_exp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_max_binary_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_max_binary_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_max_reduction_no_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_max_reduction_no_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_max_reduction_no_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_maximum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mean_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mean_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_median_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_meshgrid_list_of_tensors_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_meshgrid_variadic_tensors_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_binary_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_binary_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_reduction_no_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_reduction_no_dim_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_reduction_no_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_reduction_with_dim_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_reduction_with_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_reduction_with_dim_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_reduction_with_dim_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_min_reduction_with_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mode_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mode_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_movedim_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_movedim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_movedim_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_msort_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_msort_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_msort_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_msort_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mul_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_multinomial_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_multinomial_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_multinomial_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mv_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nan_to_num_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nan_to_num_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nanmean_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nanmedian_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nanquantile_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nansum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nansum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_narrow_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_native_layer_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ne_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ne_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_neg_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_neg_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_empty_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_empty_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_empty_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_empty_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_empty_strided_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_empty_strided_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_empty_strided_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_full_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_full_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_ones_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_ones_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_ones_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_zeros_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_new_zeros_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nextafter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_alpha_dropout_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_avg_pool1d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_avg_pool2d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_avg_pool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_avg_pool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_batch_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_bilinear_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_celu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_channel_shuffle_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_conv1d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_conv_transpose2d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_cosine_embedding_loss_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_dropout2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_dropout3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_dropout_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_dropout_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_elu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_embedding_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_fractional_max_pool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_glu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_hardshrink_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_hardshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_hardsigmoid_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_hardswish_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_hardtanh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_huber_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_instance_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_interpolate_linear_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_interpolate_linear_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_interpolate_nearest-exact_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_interpolate_nearest_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_interpolate_nearest_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_kl_div_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_kl_div_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_kl_div_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_l1_loss_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_l1_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_l1_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_linear_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_local_response_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_margin_ranking_loss_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_pool1d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_pool2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_pool3d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_unpool1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_unpool1d_grad_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_unpool1d_grad_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_unpool2d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_unpool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_max_unpool3d_grad_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_mish_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_mse_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_multi_head_attention_forward_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_pad_circular_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_pad_constant_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_pad_replicate_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_pad_replicate_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_pad_replicate_negative_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_pairwise_distance_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_pixel_shuffle_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_pixel_unshuffle_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_poisson_nll_loss_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_relu6_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_relu6_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_relu6_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_relu_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_relu_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_rms_norm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_rrelu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_scaled_dot_product_attention_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_scaled_dot_product_attention_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_scaled_dot_product_attention_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_silu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_soft_margin_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_soft_margin_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_softmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_softmin_with_dtype_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_softshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_softsign_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_softsign_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_tanhshrink_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_triplet_margin_loss_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_unfold_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_unfold_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nn_functional_upsample_bilinear_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nonzero_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nonzero_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nonzero_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nonzero_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nonzero_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nonzero_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nonzero_static_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nonzero_static_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_nonzero_static_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_norm_inf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_norm_nuc_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_norm_nuc_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_normal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_normal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_normal_in_place_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_normal_in_place_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_normal_in_place_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_normal_number_mean_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ones_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ones_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ones_like_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_outer_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_outer_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_permute_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_permute_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_permute_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_permute_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_permute_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_permute_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_permute_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_pinverse_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_polar_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_polygamma_polygamma_n_1_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_polygamma_polygamma_n_3_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_polygamma_polygamma_n_4_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_positive_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_positive_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_positive_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_prod_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_prod_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_put_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_put_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_put_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_put_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_qr_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rad2deg_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rad2deg_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rand_like_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rand_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_randint_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_randint_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_randint_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_randint_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_randint_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_randn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_randn_like_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_randn_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ravel_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ravel_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ravel_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_ravel_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_real_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_real_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reciprocal_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reciprocal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reciprocal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reciprocal_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_remainder_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_remainder_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_renorm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_repeat_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_repeat_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_repeat_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_repeat_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_repeat_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reshape_as_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reshape_as_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reshape_as_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reshape_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reshape_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reshape_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_reshape_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resize__cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resize__cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resize__cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resize_as__cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resize_as__cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resize_as__cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resolve_conj_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resolve_conj_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resolve_conj_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resolve_conj_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resolve_neg_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resolve_neg_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resolve_neg_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_resolve_neg_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_roll_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rot90_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rot90_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rot90_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_round_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_round_decimals_0_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_round_decimals_neg_3_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_round_decimals_neg_3_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rsqrt_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rsqrt_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rsub_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rsub_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rsub_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rsub_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_rsub_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scalar_tensor_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scalar_tensor_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scalar_tensor_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scalar_tensor_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_add_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_add_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_add_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_amax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_amax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_amax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_amin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_amin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_amin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_mean_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_mean_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_mean_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_prod_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_prod_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_scatter_reduce_sum_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_searchsorted_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_searchsorted_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_select_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_select_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_select_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sgn_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sgn_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_short_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sigmoid_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sigmoid_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sigmoid_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sign_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sign_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signal_windows_gaussian_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signal_windows_general_cosine_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signal_windows_general_cosine_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signal_windows_general_hamming_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signal_windows_kaiser_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signal_windows_kaiser_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signal_windows_nuttall_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signbit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signbit_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_signbit_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sin_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sinc_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sinh_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_slice_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_slice_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_slice_scatter_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_slice_scatter_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_softmax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_softmax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_softmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_softmax_with_dtype_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_softmax_with_dtype_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sort_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sparse_sampled_addmm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sparse_sampled_addmm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_bessel_j0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_bessel_y1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_chebyshev_polynomial_t_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_chebyshev_polynomial_v_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_chebyshev_polynomial_w_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_entr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_entr_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_hermite_polynomial_h_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_hermite_polynomial_he_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_i0e_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_i1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_i1_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_i1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_i1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_i1e_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_i1e_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_i1e_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_i1e_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_laguerre_polynomial_l_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_log_ndtr_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_log_ndtr_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_log_ndtr_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_modified_bessel_i0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_modified_bessel_k0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_modified_bessel_k1_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_ndtri_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_ndtri_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_ndtri_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_scaled_modified_bessel_k1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_spherical_bessel_j0_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_xlog1py_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_xlog1py_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_zeta_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_zeta_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_special_zeta_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_list_args_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_list_args_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_list_args_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_with_sizes_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_with_sizes_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_with_sizes_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_with_sizes_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_with_sizes_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_split_with_sizes_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sqrt_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sqrt_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sqrt_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_square_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_squeeze_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_squeeze_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_squeeze_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_squeeze_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_squeeze_multiple_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_squeeze_multiple_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_squeeze_multiple_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_squeeze_multiple_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_stack_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_stack_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_stack_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_std_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_std_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_std_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_std_mean_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_stft_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_stft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sub_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sub_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sub_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sub_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sub_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sum_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sum_to_size_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_sum_to_size_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_t_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_t_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_t_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_t_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_t_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_take_along_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_take_along_dim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_take_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_take_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_take_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_take_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tan_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tan_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tanh_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tanh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tanh_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tensor_split_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tensor_split_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tensor_split_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tensordot_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tile_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_to_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_to_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_to_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_to_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_to_sparse_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_to_sparse_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_to_sparse_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_to_sparse_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_topk_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_topk_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_topk_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_topk_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_torch_ops_aten__safe_softmax_default_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_torch_ops_aten__safe_softmax_default_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_torch_ops_aten__safe_softmax_default_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trace_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trace_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trace_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trace_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_transpose_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_transpose_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_transpose_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trapezoid_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trapezoid_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trapezoid_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trapz_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trapz_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trapz_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trapz_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trapz_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trapz_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_triangular_solve_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_triangular_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tril_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tril_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tril_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tril_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_tril_indices_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_triu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_triu_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_triu_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_triu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_triu_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_true_divide_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_true_divide_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_trunc_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unbind_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unbind_copy_cuda_uint8, 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test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unravel_index_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unravel_index_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unravel_index_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsafe_chunk_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsafe_chunk_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsafe_chunk_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsafe_split_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsafe_split_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsafe_split_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsqueeze_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsqueeze_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsqueeze_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_unsqueeze_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_var_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_var_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_var_mean_unbiased_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_var_mean_unbiased_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_var_mean_unbiased_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_var_unbiased_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_vdot_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_vdot_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_vdot_cuda_complex64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_zeros_like_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_zeros_like_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_zeros_like_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_meta_outplace_zeros_like_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_H_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_H_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_H_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_T_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace___getitem___cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace___getitem___cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace___getitem___cuda_int64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_log10_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_log10_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_log10_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_log10_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_log_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_max_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_maximum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_maximum_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_maximum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_maximum_cuda_int64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_reciprocal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_reciprocal_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_round_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_round_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_round_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_rsqrt_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_rsqrt_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_rsqrt_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_sigmoid_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_sigmoid_cuda_float64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_tan_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_tan_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_tan_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_tanh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_tanh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_tanh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_zero_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_zero_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__foreach_zero_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace__segment_reduce_offsets_cuda_float16, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_acos_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_acos_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_acos_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_acosh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_acosh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_add_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addbmm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addcmul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addcmul_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addcmul_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addcmul_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addmm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addmm_decomposed_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addmv_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addmv_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_addr_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_alias_copy_cuda_complex64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides__foreach_mul_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides__foreach_sqrt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides__foreach_tanh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides__foreach_zero_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides__upsample_bilinear2d_aa_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_add_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_addbmm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_argmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_argsort_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_asinh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_bitwise_not_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_broadcast_shapes_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_broadcast_to_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_byte_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_cfloat_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_cholesky_inverse_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_clamp_min_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_clone_cuda_float32, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_empty_permuted_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_erfc_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_exp2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fft_fft2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fft_fftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fft_fftshift_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fft_hfft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fft_ihfft2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fft_ihfftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fft_irfft2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fft_rfft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fliplr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_fmod_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_gcd_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_index_reduce_amax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_index_reduce_amin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_jiterator_binary_return_by_ref_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_cross_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_det_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_eig_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_eigvalsh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_inv_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_ldl_solve_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_lstsq_grad_oriented_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_matrix_rank_hermitian_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_norm_subgradients_at_zero_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_pinv_singular_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_linalg_solve_ex_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_log1p_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_log_softmax_with_dtype_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_logaddexp2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_logaddexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_logcumsumexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_logical_or_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_long_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_lu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_mT_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_masked_fill_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_masked_logsumexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_masked_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_masked_softmax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_masked_softmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_masked_std_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_masked_sum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_masked_var_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_matmul_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_max_reduction_with_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_maximum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_min_reduction_no_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nan_to_num_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nansum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_narrow_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_new_empty_strided_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nextafter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_alpha_dropout_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_batch_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_binary_cross_entropy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_channel_shuffle_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv_transpose2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_ctc_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_dropout_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_embedding_bag_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_embedding_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_gaussian_nll_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_glu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_group_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardsigmoid_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardswish_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardtanh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_bilinear_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_nearest_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_local_response_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool1d_grad_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool3d_grad_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_constant_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_reflect_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pairwise_distance_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pdist_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pixel_shuffle_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pixel_unshuffle_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_rms_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_selu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_tanhshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_norm_fro_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_normal_number_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_ormqr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_quantile_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_rad2deg_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_randint_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_remainder_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_renorm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_reshape_as_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_resize__cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_resize_as__cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_prod_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_searchsorted_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_short_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_sigmoid_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_sign_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_signal_windows_hamming_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_signbit_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_sinh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_slice_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_softmax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_sparse_mm_reduce_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_airy_ai_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_j1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_y1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_erfcx_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_hermite_polynomial_h_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_legendre_polynomial_p_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_log_ndtr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_k0_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_k1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_split_with_sizes_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_sqrt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_stack_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_std_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_std_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_std_unbiased_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_sum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_take_along_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_tensor_split_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_tensordot_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_topk_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_torch__scaled_mm_v2_cuda_float8_e4m3fn, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_tril_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_triu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_unbind_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_unbind_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_unfold_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_unique_consecutive_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_unsqueeze_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_all_strides_var_mean_unbiased_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_allclose_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_amin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_amin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_amin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_aminmax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_aminmax_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_angle_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_any_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_argmax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_argmin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_argmin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_argwhere_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_argwhere_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_argwhere_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_partial_views_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_partial_views_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_as_strided_scatter_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_asin_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_asin_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_asin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atan2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atan2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atan2_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atan2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atan_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atan_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atan_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atan_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atan_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atanh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_1d_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_2d_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_atleast_3d_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_baddbmm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_baddbmm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bernoulli_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bernoulli_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bernoulli_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bfloat16_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bfloat16_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bincount_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bitwise_and_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bitwise_and_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_block_diag_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_block_diag_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bool_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bool_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bool_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bool_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_broadcast_shapes_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_broadcast_tensors_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_broadcast_to_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bucketize_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_bucketize_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_byte_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_byte_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cartesian_prod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cat_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cat_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cat_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cdist_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cdouble_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cdouble_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cdouble_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cdouble_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ceil_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ceil_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cfloat_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_chalf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_chalf_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_chalf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_chalf_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_char_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cholesky_inverse_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cholesky_solve_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_chunk_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_chunk_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_chunk_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_clamp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_clamp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_clamp_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_clamp_max_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_clamp_max_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_clamp_max_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_clone_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_clone_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_column_stack_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_column_stack_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_column_stack_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_combinations_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_conj_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_conj_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_conj_physical_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_conj_physical_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_conj_physical_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_conj_physical_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_constant_pad_nd_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_contiguous_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_contiguous_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_copysign_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_copysign_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_copysign_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_corrcoef_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_corrcoef_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_corrcoef_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_corrcoef_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cos_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cos_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cosh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cosh_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cosh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_count_nonzero_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cov_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cov_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cov_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cov_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cross_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cross_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cross_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cross_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cummin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cummin_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cummin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cummin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cumprod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cumprod_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cumprod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cumsum_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cumsum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cumsum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cumsum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_cumulative_trapezoid_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diag_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diag_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diag_embed_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diag_embed_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diagflat_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diagflat_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diagflat_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diagonal_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diagonal_scatter_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diff_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_diff_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_digamma_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_digamma_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_digamma_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dist_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_div_floor_rounding_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_div_no_rounding_mode_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dot_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_double_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dsplit_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dsplit_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dsplit_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dsplit_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dstack_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dstack_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dstack_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_dstack_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_einsum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_empty_like_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_empty_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_empty_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_empty_like_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_empty_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_empty_permuted_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_empty_permuted_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_empty_permuted_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_empty_strided_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_eq_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_equal_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_equal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_equal_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_equal_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_equal_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_erf_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_erf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_erf_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_erfc_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_erfc_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_erfinv_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_erfinv_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_exp2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_exp2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_exp2_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_exp2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_exp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_exp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_expand_as_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_expand_as_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_expand_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_expand_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_expand_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_expand_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_expm1_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_exponential_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_eye_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_eye_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_eye_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_eye_cuda_float8_e5m2, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_eye_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_eye_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_fft2_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_fft_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_fftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_fftshift_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfft2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_hfftn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ifft2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ifft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ifftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ifftshift_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ihfft2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_ihfftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_irfftn_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_rfft2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_rfft_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fft_rfftn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fill_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fill_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fill_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fill_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fill_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fill_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_flatten_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_flatten_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_flip_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fliplr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_flipud_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_flipud_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_flipud_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_flipud_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_flipud_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_float_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_float_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_float_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_float_power_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_float_power_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_float_power_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_floor_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_floor_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_floor_divide_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_floor_divide_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_floor_divide_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fmin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fmod_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_fmod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_frac_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_frexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_frexp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_full_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_full_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_full_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_full_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_full_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_full_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_gather_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_gcd_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_gcd_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_gcd_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ge_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_geometric_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_geometric_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_gradient_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_grid_sampler_3d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_gt_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_gt_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_gt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_gt_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_half_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_half_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_half_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_half_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_half_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hash_tensor_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hash_tensor_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hash_tensor_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_heaviside_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hsplit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hsplit_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hsplit_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hsplit_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hsplit_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hstack_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hstack_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hstack_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hstack_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_hstack_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_i0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_igammac_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_add_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_add_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_fill_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_fill_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_fill_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_fill_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_fill_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_fill_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_put_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_put_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_amax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_amax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_amin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_amin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_mean_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_mean_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_prod_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_prod_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_prod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_reduce_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_index_select_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_inner_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_int_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_int_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_int_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isclose_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isfinite_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isfinite_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isfinite_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isinf_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isinf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isinf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isinf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isinf_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isnan_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isnan_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isnan_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isposinf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isposinf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isreal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isreal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_isreal_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_item_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_item_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_2inputs_2outputs_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_binary_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_jiterator_unary_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_kron_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_kron_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_kron_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_kron_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_kthvalue_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lcm_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ldexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ldexp_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_le_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_le_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_le_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lerp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lerp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lerp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lgamma_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_cholesky_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_cholesky_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_cross_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_det_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_diagonal_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_diagonal_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_eig_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_eigvals_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_eigvalsh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_householder_product_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_householder_product_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_inv_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_ldl_factor_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_ldl_solve_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_ldl_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_ldl_solve_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_lstsq_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_lu_solve_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_matrix_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_matrix_power_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_pinv_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_pinv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_pinv_hermitian_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_qr_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_solve_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_solve_ex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_solve_ex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_solve_triangular_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_svdvals_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_tensorinv_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_tensorsolve_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_vander_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_vecdot_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_vecdot_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log10_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log10_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log1p_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log1p_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log1p_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log1p_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log_normal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log_softmax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log_softmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_log_softmax_with_dtype_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logaddexp2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logaddexp_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logaddexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logcumsumexp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logcumsumexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logdet_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logical_and_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logical_and_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logical_or_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logical_xor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logical_xor_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logical_xor_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logit_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logit_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logspace_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logspace_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logspace_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logspace_tensor_overload_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logsumexp_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_logsumexp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_long_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_long_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lt_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lt_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lt_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lt_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lu_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_lu_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mH_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mH_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mH_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mH_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mT_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mT_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_amax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_amax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_amax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_amin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_amin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_amin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_argmax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_argmin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_cumprod_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_cumsum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_fill_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_fill_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_fill_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_log_softmax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_logaddexp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_logsumexp_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_mean_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_median_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_prod_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_prod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_scatter_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_select_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_select_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_select_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_std_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_std_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_sum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_sum_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_sum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_masked_var_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_matmul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_matmul_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_matrix_exp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_matrix_exp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_max_binary_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_max_pool2d_with_indices_backward_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_max_reduction_with_dim_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_maximum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_maximum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_median_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_meshgrid_list_of_tensors_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_meshgrid_variadic_tensors_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_min_binary_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_min_binary_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_min_binary_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_min_reduction_no_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_min_reduction_with_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_minimum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_minimum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mode_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_movedim_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_movedim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_movedim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mul_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mul_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nan_to_num_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nanmedian_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nanmedian_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nanmedian_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nanmedian_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nanquantile_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nansum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nansum_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nansum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_narrow_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_narrow_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_native_batch_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_native_dropout_backward_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_native_layer_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ne_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ne_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ne_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ne_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_neg_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_neg_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_new_empty_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_new_empty_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_new_empty_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_new_empty_strided_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_new_full_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_new_full_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_new_ones_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_new_zeros_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nextafter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool2d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_celu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_celu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_channel_shuffle_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_conv3d_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_ctc_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_dropout_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_dropout_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_elu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_embedding_bag_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_gaussian_nll_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_gelu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_glu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_grid_sample_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_group_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_hardshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_hardshrink_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_hardsigmoid_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_huber_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_area_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_area_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bicubic_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bilinear_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bilinear_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest-exact_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest-exact_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_logsigmoid_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_max_pool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_grad_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_grad_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_mish_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_mse_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_margin_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_nll_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_nll_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_negative_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_negative_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_relu_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_rms_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_rrelu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_rrelu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_selu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_silu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_silu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_smooth_l1_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_smooth_l1_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_soft_margin_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nonzero_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nonzero_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nonzero_static_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nonzero_static_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nonzero_static_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_nonzero_static_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_norm_fro_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_norm_inf_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_norm_inf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_normal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_normal_in_place_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_normal_number_mean_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ones_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ones_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ones_like_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ones_like_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ones_like_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ones_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_outer_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_outer_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_outer_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_pca_lowrank_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_permute_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_permute_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_permute_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_permute_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_permute_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_permute_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_permute_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_pinverse_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_1_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_3_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_polygamma_polygamma_n_4_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_positive_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_positive_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_positive_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_positive_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_pow_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_pow_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_prod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_put_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_qr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rad2deg_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rand_like_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rand_like_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_randint_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_randint_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_randint_like_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_randint_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_randint_like_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_randn_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_randn_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ravel_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ravel_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ravel_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_ravel_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_real_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_real_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_real_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_real_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_reciprocal_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_reciprocal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_reciprocal_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_remainder_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_remainder_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_remainder_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_repeat_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_repeat_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_repeat_interleave_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_reshape_as_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_reshape_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_reshape_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_resize_as__cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_resize_as__cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_resolve_conj_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_resolve_neg_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_roll_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_roll_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_roll_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_roll_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_roll_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rot90_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rot90_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rot90_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_round_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_round_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_round_decimals_0_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_round_decimals_3_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_round_decimals_neg_3_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rsqrt_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rsqrt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rsub_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rsub_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rsub_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_rsub_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scalar_tensor_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scatter_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scatter_reduce_amax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scatter_reduce_mean_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_scatter_reduce_sum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_searchsorted_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_select_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_select_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_select_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_select_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_select_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_select_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_select_scatter_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_select_scatter_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sgn_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sgn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sgn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sgn_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sgn_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_short_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_short_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_short_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_short_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sigmoid_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sigmoid_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sigmoid_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sigmoid_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sigmoid_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sigmoid_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sigmoid_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_signal_windows_blackman_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_signal_windows_cosine_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_signal_windows_exponential_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_signal_windows_general_hamming_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_signal_windows_kaiser_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_signal_windows_kaiser_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_signbit_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sinc_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sinh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sinh_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sinh_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_slice_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_slice_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_slice_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_slice_scatter_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sort_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sort_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_airy_ai_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_bessel_j0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_bessel_j1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_bessel_y0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_bessel_y1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_entr_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_entr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_erfcx_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i0e_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i0e_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i0e_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i1_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i1e_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i1e_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i1e_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_i1e_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_log_ndtr_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_modified_bessel_i1_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_ndtr_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_ndtri_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_special_xlog1py_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_split_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_split_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_split_list_args_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_split_list_args_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_split_list_args_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_split_with_sizes_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_split_with_sizes_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sqrt_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sqrt_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sqrt_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sqrt_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_square_cuda_complex128, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_squeeze_multiple_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_squeeze_multiple_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_stack_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_std_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_stft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sum_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sum_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_sum_to_size_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_svd_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_svd_lowrank_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_t_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_t_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_t_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_t_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_t_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_t_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_t_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_take_along_dim_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_take_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_take_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tan_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tan_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tan_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tanh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tanh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tanh_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tanh_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tanh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tensor_split_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tensordot_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tile_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tile_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_tile_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_to_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_to_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_to_sparse_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_to_sparse_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_to_sparse_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_to_sparse_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_topk_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_torch_ops_aten__efficient_attention_forward_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_trace_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_trace_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_trace_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_trace_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_transpose_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_transpose_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_transpose_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_transpose_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_transpose_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_transpose_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_trapz_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_trapz_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_trapz_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_trapz_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_triangular_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_triu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_triu_indices_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_true_divide_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_true_divide_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_true_divide_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_trunc_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unbind_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unbind_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unbind_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unbind_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unbind_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unbind_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unbind_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unbind_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unbind_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unflatten_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unflatten_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unflatten_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unflatten_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unfold_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unfold_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_uniform_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unique_consecutive_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unique_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unique_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unravel_index_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsafe_chunk_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsafe_chunk_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsafe_chunk_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsafe_chunk_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsafe_split_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsafe_split_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsqueeze_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsqueeze_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_unsqueeze_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_var_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_var_mean_unbiased_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_as_complex_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_as_complex_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_as_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_as_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_as_real_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_view_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_vsplit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_vsplit_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_vsplit_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_vstack_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_where_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_where_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_where_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_where_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_where_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_xlogy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_zero__cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_zero__cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_zero__cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_zeros_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_zeros_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_zeros_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_zeros_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_zeros_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_inplace_zeros_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_H_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace___getitem___cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace___getitem___cuda_int32, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_amin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_aminmax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_aminmax_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_aminmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_aminmax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_aminmax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_angle_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_angle_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_any_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_arange_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_argmax_cuda_float32, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_asin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_asinh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_asinh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atan2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atan2_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atan2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atan2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atan_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atan_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atan_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atan_cuda_float64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atleast_2d_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_atleast_3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_baddbmm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bfloat16_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bincount_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bincount_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bitwise_and_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bitwise_left_shift_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bitwise_not_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bitwise_not_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bitwise_not_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bitwise_right_shift_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bitwise_xor_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_block_diag_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_block_diag_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bmm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bool_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bool_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_broadcast_shapes_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_broadcast_tensors_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_broadcast_to_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bucketize_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bucketize_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bucketize_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_bucketize_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cartesian_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cat_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cat_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cat_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cat_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cdist_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cdouble_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cdouble_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cdouble_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cdouble_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ceil_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cfloat_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_chalf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_chalf_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_chalf_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_chalf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_chalf_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_char_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_char_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_char_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_char_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cholesky_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cholesky_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cholesky_inverse_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_chunk_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_chunk_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_chunk_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clamp_max_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clamp_min_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clamp_min_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clamp_min_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clone_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clone_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clone_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clone_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clone_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_clone_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_column_stack_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_column_stack_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_column_stack_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_column_stack_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_combinations_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_combinations_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_complex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_conj_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_conj_physical_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_constant_pad_nd_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_contiguous_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_copysign_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_copysign_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_corrcoef_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_corrcoef_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cos_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cos_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cos_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cos_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cosh_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cosh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_count_nonzero_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cov_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cross_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cross_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cross_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cross_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cummax_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cummax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cummax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cummax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cummin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cumprod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cumsum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cumsum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cumsum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cumsum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cumsum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_cumulative_trapezoid_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_deg2rad_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_deg2rad_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_deg2rad_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_deg2rad_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_deg2rad_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diag_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diag_embed_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diag_embed_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diag_embed_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diagflat_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diagflat_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diagflat_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diagonal_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diagonal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diagonal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diagonal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diagonal_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diagonal_scatter_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diff_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diff_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diff_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_diff_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_digamma_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_digamma_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_digamma_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_div_floor_rounding_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_div_no_rounding_mode_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_dot_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_double_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_double_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_double_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_dsplit_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_dsplit_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_dstack_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_dstack_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_einsum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_einsum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_empty_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_empty_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_empty_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_empty_strided_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_empty_strided_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_eq_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_equal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_erf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_erf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_exp2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_exp2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_exp2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_exp2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_exp_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_exp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_exp_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_exp_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expand_as_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expand_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expand_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expand_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expand_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expand_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expm1_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expm1_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expm1_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_expm1_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_exponential_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_eye_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_eye_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_fft2_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_fft_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_fft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_fft_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_fftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_fftshift_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfft2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfft_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_hfftn_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifft2_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifft_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifftn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_ifftshift_cuda_float64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfft2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fft_rfftn_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fill_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fill_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fill_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_flatten_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_flatten_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_flip_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_flip_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_flip_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fliplr_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fliplr_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_flipud_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_flipud_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_float_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_float_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_float_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_float_power_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_floor_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_floor_divide_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_floor_divide_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_floor_divide_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fmax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fmax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fmin_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fmin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fmin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fmod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fmod_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_fmod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_frexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_frexp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_full_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_full_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_full_like_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_full_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_full_like_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gather_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gather_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gather_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gather_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gcd_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gcd_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gcd_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ge_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_geqrf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gradient_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gradient_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gradient_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gradient_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_grid_sampler_3d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_gt_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_half_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_half_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hash_tensor_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hash_tensor_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hash_tensor_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_histc_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hsplit_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hsplit_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hsplit_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hsplit_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hstack_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hstack_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hstack_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_hypot_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_i0_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_i0_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_i0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_igamma_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_igammac_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_igammac_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_add_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_add_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_add_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_add_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_fill_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_fill_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_fill_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_put_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_put_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_put_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_reduce_amax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_reduce_amin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_reduce_amin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_reduce_prod_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_select_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_select_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_select_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_index_select_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_inner_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_inner_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_int_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_int_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isclose_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isclose_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isclose_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isfinite_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isfinite_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isfinite_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isfinite_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isfinite_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isinf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isnan_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isneginf_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isneginf_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isposinf_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isposinf_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isreal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isreal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_isreal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_item_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_item_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_item_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_2inputs_2outputs_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_binary_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_binary_return_by_ref_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_jiterator_unary_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_kron_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_kron_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_kthvalue_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lcm_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ldexp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ldexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ldexp_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_le_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lerp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lerp_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lerp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lgamma_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lgamma_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lgamma_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lgamma_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_cholesky_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_cholesky_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_cholesky_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_cholesky_ex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_cross_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_det_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_diagonal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_diagonal_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_eigh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_eigh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_eigvalsh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_householder_product_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_inv_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_inv_ex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_inv_ex_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_inv_ex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_ldl_factor_ex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_ldl_solve_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_lstsq_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_lu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_lu_factor_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_lu_factor_ex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_matrix_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_matrix_power_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_norm_subgradients_at_zero_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_norm_subgradients_at_zero_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_pinv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_pinv_hermitian_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_qr_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_slogdet_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_solve_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_solve_ex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_svd_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_svdvals_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_tensorinv_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_tensorinv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_tensorsolve_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_tensorsolve_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_vander_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_vector_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linalg_vector_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linspace_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linspace_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_linspace_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log10_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log10_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log1p_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log1p_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log_normal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_log_softmax_with_dtype_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logaddexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logaddexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logaddexp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logdet_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_and_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_and_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_and_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_and_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_not_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_or_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_or_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_or_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_or_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_or_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_or_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_xor_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logical_xor_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logit_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logspace_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logspace_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logspace_tensor_overload_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logspace_tensor_overload_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_logsumexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_long_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_long_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_long_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_long_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_long_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_long_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lt_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_lu_unpack_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mH_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mH_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mH_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mT_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mT_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_amax_cuda_bfloat16, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_median_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_normalize_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_prod_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_prod_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_scatter_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_select_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_select_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_softmin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_softmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_std_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_std_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_sum_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_sum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_var_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_var_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_masked_var_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_matmul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_matrix_exp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_matrix_exp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_max_binary_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_max_binary_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_max_binary_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_max_pool2d_with_indices_backward_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_max_reduction_no_dim_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_max_reduction_with_dim_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_maximum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mean_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_median_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_median_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_meshgrid_list_of_tensors_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_meshgrid_variadic_tensors_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_min_binary_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_min_binary_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_min_binary_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_min_reduction_no_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_min_reduction_with_dim_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_minimum_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_minimum_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_minimum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_minimum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_minimum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_movedim_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_movedim_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_msort_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_msort_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mul_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mul_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_multinomial_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mv_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mv_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nan_to_num_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nanmean_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nanmean_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nanmedian_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nanmedian_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nanmedian_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nanquantile_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nansum_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nansum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_narrow_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_narrow_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_narrow_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_narrow_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ne_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ne_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ne_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ne_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_neg_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_neg_cuda_complex64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_empty_strided_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_full_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_ones_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_ones_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_zeros_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_zeros_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_zeros_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_zeros_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_zeros_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_new_zeros_cuda_int64, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_hardsigmoid_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_instance_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_instance_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bicubic_cuda_float32, 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test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_negative_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_negative_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_negative_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_relu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_rms_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_selu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_selu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_silu_complex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_smooth_l1_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_softmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_softshrink_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_softshrink_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_tanhshrink_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_loss_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_unfold_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_unfold_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_upsample_bilinear_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nonzero_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nonzero_static_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_nonzero_static_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_norm_inf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_norm_nuc_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_norm_nuc_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_normal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_normal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ones_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ones_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ones_like_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ones_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ormqr_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_outer_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_outer_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_outer_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_pca_lowrank_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_permute_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_permute_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_permute_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_permute_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_permute_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_permute_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_permute_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_permute_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_permute_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_pinverse_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polar_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_positive_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_positive_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_pow_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_pow_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_prod_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_prod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_prod_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_prod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_put_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_put_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_put_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_qr_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_quantile_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rad2deg_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rand_like_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rand_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_randint_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_randint_like_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_randint_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_randn_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_randn_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_randn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_randn_like_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_randn_like_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ravel_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ravel_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_ravel_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_real_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_real_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_real_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_reciprocal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_reciprocal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_reciprocal_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_remainder_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_remainder_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_renorm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_repeat_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_repeat_interleave_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_reshape_as_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_reshape_as_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_reshape_as_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_reshape_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_reshape_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_reshape_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resize__cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resize__cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resize_as__cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resize_as__cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resize_as__cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resize_as__cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resolve_conj_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_resolve_neg_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_roll_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rot90_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rot90_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rot90_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rot90_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rot90_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_round_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_round_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_round_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_round_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_round_decimals_neg_3_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rsqrt_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rsqrt_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rsqrt_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rsqrt_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rsub_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_rsub_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scalar_tensor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_add_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_reduce_amax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_reduce_amin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_reduce_mean_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_reduce_prod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_scatter_reduce_sum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_searchsorted_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_searchsorted_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_select_scatter_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sgn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_short_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_short_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sigmoid_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sign_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sign_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_signal_windows_exponential_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_signal_windows_general_hamming_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_signal_windows_hann_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_signbit_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_signbit_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_signbit_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sin_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sin_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sinc_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sinh_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_slice_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_slice_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_slice_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_softmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_softmax_with_dtype_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sort_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sparse_sampled_addmm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sparse_sampled_addmm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_airy_ai_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_bessel_j0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_bessel_j1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_bessel_y0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_bessel_y1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_t_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_u_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_chebyshev_polynomial_w_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_entr_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_entr_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_entr_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_erfcx_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_h_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_hermite_polynomial_he_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_i1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_i1_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_i1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_i1_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_i1e_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_legendre_polynomial_p_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_log_ndtr_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_modified_bessel_i0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_modified_bessel_k0_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_modified_bessel_k1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_ndtr_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_scaled_modified_bessel_k1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_t_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_spherical_bessel_j0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_special_xlog1py_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_list_args_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_list_args_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_list_args_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_with_sizes_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_with_sizes_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_with_sizes_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_with_sizes_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_split_with_sizes_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sqrt_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sqrt_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sqrt_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sqrt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sqrt_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_square_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_squeeze_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_squeeze_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_squeeze_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_squeeze_multiple_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_squeeze_multiple_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_squeeze_multiple_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_squeeze_multiple_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_stack_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_stack_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_mean_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_mean_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_mean_unbiased_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_mean_unbiased_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_unbiased_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_unbiased_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_std_unbiased_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_stft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sub_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_sum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_svd_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_svd_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_svd_lowrank_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_t_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_t_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_t_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_t_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_t_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_t_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_t_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_take_along_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_take_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tan_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tan_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tan_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tan_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tanh_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tensor_split_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tensor_split_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tile_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tile_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tile_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_to_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_to_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_to_sparse_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_to_sparse_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_to_sparse_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_to_sparse_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_topk_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_topk_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_topk_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_torch_ops_aten__flash_attention_forward_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trace_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trace_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_transpose_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_transpose_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_transpose_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_transpose_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_transpose_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_transpose_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trapezoid_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trapezoid_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trapezoid_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trapz_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trapz_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trapz_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_triangular_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_triangular_solve_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tril_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_tril_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_triu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_true_divide_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trunc_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trunc_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trunc_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_trunc_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unbind_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unbind_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unbind_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unbind_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unbind_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unbind_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unbind_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unflatten_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unflatten_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unfold_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unfold_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unfold_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unfold_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unfold_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unfold_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_uniform_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_uniform_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unique_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unique_cuda_uint64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unsafe_chunk_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unsafe_chunk_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unsafe_chunk_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unsqueeze_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unsqueeze_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unsqueeze_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unsqueeze_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_unsqueeze_cuda_int32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_var_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_var_mean_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_var_mean_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_var_mean_unbiased_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_var_unbiased_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_view_as_complex_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_view_as_complex_cuda_float32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_view_as_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_view_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_view_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_view_cuda_float64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_view_cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_vsplit_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_vstack_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_where_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_where_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_xlogy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zero__cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zero__cuda_int64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zero__cuda_int8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zeros_cuda_bool, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zeros_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zeros_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zeros_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zeros_like_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zeros_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_dispatch_symbolic_meta_outplace_zeros_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_embedding_bag_byte_unpack_cuda, test/test_meta.py::TestMetaCUDA::test_fill__alias_relationship_cuda, test/test_meta.py::TestMetaCUDA::test_fill_stride_cuda, test/test_meta.py::TestMetaCUDA::test_group_norm_backward_output_mask1_cuda, test/test_meta.py::TestMetaCUDA::test_group_norm_backward_output_mask4_cuda, test/test_meta.py::TestMetaCUDA::test_group_norm_backward_output_mask7_cuda, test/test_meta.py::TestMetaCUDA::test_huber_loss_backward_cuda, test/test_meta.py::TestMetaCUDA::test_inplace_bin_ops_error_cuda, test/test_meta.py::TestMetaCUDA::test_layer_norm_backward_output_mask1_cuda, test/test_meta.py::TestMetaCUDA::test_layer_norm_backward_output_mask3_cuda, test/test_meta.py::TestMetaCUDA::test_local_scalar_dense_call_cuda, test/test_meta.py::TestMetaCUDA::test_meta_autograd_no_error_cuda, test/test_meta.py::TestMetaCUDA::test_meta_consistency_out_dtype_mismatch_pow_Tensor_Scalar_cuda, test/test_meta.py::TestMetaCUDA::test_meta_inplace_H_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_H_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_H_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_H_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_T_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_T_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_T_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace___getitem___cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace___getitem___cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace___getitem___cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace___radd___cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rand___cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rdiv___cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rdiv___cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rmatmul___cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rmod___cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rmul___cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace___ror___cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace___ror___cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace___ror___cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rpow___cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rpow___cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rsub___cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rsub___cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rxor___cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rxor___cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace___rxor___cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__chunk_cat_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__chunk_cat_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_abs_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_abs_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_abs_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_abs_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_abs_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_acos_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_add_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_add_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_add_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_addcdiv_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_addcdiv_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_addcmul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_addcmul_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_asin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_asin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_atan_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_atan_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_atan_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_ceil_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_ceil_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_ceil_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_clamp_max_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_clamp_max_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_clamp_max_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_clamp_min_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_clamp_min_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_cos_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_cos_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_cos_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_cos_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_div_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_div_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_div_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_erf_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_erf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_erfc_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_exp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_exp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_expm1_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_expm1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_floor_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_floor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_floor_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_floor_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_floor_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_frac_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_frac_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_frac_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_lerp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_lerp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_lerp_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_lgamma_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_lgamma_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log10_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log10_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log1p_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log1p_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log2_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_log_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_max_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_max_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_maximum_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_maximum_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_maximum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_maximum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_maximum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_maximum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_maximum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_minimum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_minimum_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_minimum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_minimum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_minimum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_mul_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_mul_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_mul_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_neg_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_norm_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_norm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_norm_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_norm_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_pow_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_pow_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_pow_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_reciprocal_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_reciprocal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_reciprocal_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_round_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_rsqrt_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_rsqrt_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_rsqrt_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_rsqrt_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_rsqrt_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sigmoid_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sigmoid_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sign_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sign_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sign_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sinh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sinh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sub_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_sub_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_tanh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_trunc_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__foreach_zero_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace__native_batch_norm_legit_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__segment_reduce_lengths_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__segment_reduce_offsets_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__unsafe_masked_index_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace__unsafe_masked_index_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__unsafe_masked_index_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace__unsafe_masked_index_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__unsafe_masked_index_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace__unsafe_masked_index_put_accumulate_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace__unsafe_masked_index_put_accumulate_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace__unsafe_masked_index_put_accumulate_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_abs_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_abs_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_abs_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_abs_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_abs_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_abs_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acos_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acos_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acos_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acos_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acos_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acosh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acosh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acosh_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acosh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acosh_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_acosh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addbmm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addcdiv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addcmul_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addcmul_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addmm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addmm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addmm_decomposed_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addmm_decomposed_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addmv_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addmv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addr_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_addr_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_alias_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_alias_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_alias_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_all_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_all_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_allclose_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_allclose_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_amax_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_amin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_amin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_amin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_amin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_aminmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_aminmax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_angle_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_angle_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_any_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_any_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_any_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_arange_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_arange_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argmax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argmax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argmax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argmin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argmin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argsort_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argwhere_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argwhere_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_argwhere_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_partial_views_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_scatter_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_as_strided_scatter_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_asin_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_asin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_asinh_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_asinh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atan_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atanh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atanh_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atleast_1d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atleast_2d_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atleast_3d_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_atleast_3d_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_baddbmm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bernoulli_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bernoulli_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bfloat16_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bfloat16_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bfloat16_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bincount_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bitwise_and_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bitwise_left_shift_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bitwise_left_shift_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bitwise_not_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bitwise_xor_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_block_diag_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_block_diag_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_block_diag_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bmm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bool_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bool_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bool_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_bool_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_broadcast_tensors_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_broadcast_tensors_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_broadcast_tensors_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_broadcast_tensors_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_broadcast_to_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_byte_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_byte_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_byte_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_byte_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_byte_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_byte_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_byte_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cat_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cat_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cat_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cauchy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cdouble_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cdouble_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ceil_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ceil_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ceil_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ceil_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cfloat_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_chalf_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_chalf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_char_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_char_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_char_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cholesky_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cholesky_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cholesky_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cholesky_inverse_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_chunk_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_chunk_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clamp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clamp_max_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clamp_min_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clamp_min_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clamp_min_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clamp_min_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clamp_min_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clone_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clone_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clone_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_clone_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_column_stack_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_column_stack_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_column_stack_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_column_stack_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_combinations_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_combinations_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_conj_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_conj_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_conj_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_conj_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_conj_physical_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_constant_pad_nd_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_constant_pad_nd_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_constant_pad_nd_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_constant_pad_nd_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_constant_pad_nd_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_constant_pad_nd_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_constant_pad_nd_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_contiguous_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_contiguous_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_copysign_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_copysign_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_copysign_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_corrcoef_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_corrcoef_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_corrcoef_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cos_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cos_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cos_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cos_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cos_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cosh_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cosh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cosh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cosh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_count_nonzero_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_count_nonzero_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_count_nonzero_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cov_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cov_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cov_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cross_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cross_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cummax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cummin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cumprod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cumprod_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cumprod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cumsum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cumsum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cumulative_trapezoid_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cumulative_trapezoid_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cumulative_trapezoid_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_cumulative_trapezoid_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_deg2rad_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_deg2rad_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diag_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diag_embed_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diag_embed_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diag_embed_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diag_embed_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diagflat_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diagflat_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diagflat_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diagonal_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diagonal_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diagonal_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diagonal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diagonal_scatter_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diagonal_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diff_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_diff_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_digamma_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_digamma_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_digamma_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_digamma_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_digamma_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_digamma_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_div_floor_rounding_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_div_no_rounding_mode_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_div_no_rounding_mode_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_div_trunc_rounding_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_div_trunc_rounding_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_div_trunc_rounding_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_div_trunc_rounding_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_dot_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_double_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_double_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_dsplit_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_einsum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_empty_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_empty_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_empty_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_empty_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_empty_like_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_empty_permuted_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_empty_strided_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_eq_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_equal_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_equal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_erfc_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_erfc_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_erfinv_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_erfinv_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_erfinv_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_exp2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_exp2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_expand_as_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_expand_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_expand_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_expand_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_expand_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_expand_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_expm1_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_expm1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_expm1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_eye_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_eye_cuda_float8_e4m3fn, test/test_meta.py::TestMetaCUDA::test_meta_inplace_eye_cuda_float8_e4m3fnuz, test/test_meta.py::TestMetaCUDA::test_meta_inplace_eye_cuda_float8_e5m2, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fft_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fft_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fft_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fft_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fftshift_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fftshift_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fftshift_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fftshift_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_fftshift_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_hfft_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_hfft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_hfft_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_hfftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifft2_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifft2_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifft2_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifft_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifft_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifft_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifftn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ifftn_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ihfft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ihfft2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ihfft2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ihfft_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ihfft_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ihfft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_ihfftn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_irfft2_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_irfft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_irfft2_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_irfft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_irfftn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_irfftn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_rfft_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_rfft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_rfft_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_rfftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_rfftn_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_rfftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fft_rfftn_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fill_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fill_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_flatten_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_flip_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_flip_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_flip_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_flip_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_flip_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_flipud_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_flipud_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_flipud_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_float_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_float_power_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_float_power_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_float_power_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_floor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_floor_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_floor_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_floor_divide_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_floor_divide_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_floor_divide_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_floor_divide_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fmin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fmin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fmod_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_fmod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_frac_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_frac_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_frexp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_frexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_full_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_full_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_full_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_full_like_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_full_like_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_full_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_gather_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_gather_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_gather_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_gcd_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_geometric_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_geometric_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_geometric_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_gradient_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_gradient_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_gt_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_half_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_half_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_half_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_hash_tensor_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_heaviside_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_heaviside_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_heaviside_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_hsplit_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_hsplit_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_hsplit_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_hsplit_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_hstack_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_i0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_add_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_fill_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_put_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_put_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_put_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_put_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_put_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_reduce_amax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_reduce_amin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_reduce_amin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_reduce_amin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_reduce_mean_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_reduce_prod_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_index_reduce_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_int_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_int_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isclose_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isclose_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isclose_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isfinite_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isfinite_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isfinite_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isfinite_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isfinite_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isinf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isinf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isinf_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isinf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isinf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isnan_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isnan_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isneginf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isneginf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isneginf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isneginf_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isneginf_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isposinf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isposinf_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_isreal_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_istft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_item_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_item_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_jiterator_2inputs_2outputs_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_jiterator_2inputs_2outputs_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_jiterator_binary_return_by_ref_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_jiterator_unary_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_jiterator_unary_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_jiterator_unary_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_jiterator_unary_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_kron_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_kron_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_kron_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_kron_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_kron_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_kthvalue_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_kthvalue_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_kthvalue_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ldexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ldexp_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_le_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_le_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lerp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lerp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lerp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lgamma_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lgamma_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_cholesky_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_cholesky_ex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_cholesky_ex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_cross_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_diagonal_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_eig_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_eig_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_eigh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_eigvals_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_eigvalsh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_householder_product_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_ldl_factor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_ldl_factor_ex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_lstsq_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_lstsq_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_lstsq_grad_oriented_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_lstsq_grad_oriented_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_lu_factor_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_matrix_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_matrix_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_matrix_power_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_matrix_power_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_matrix_power_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_matrix_rank_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_pinv_hermitian_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_qr_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_slogdet_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_solve_ex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_solve_triangular_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_solve_triangular_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_tensorinv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_tensorsolve_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_vander_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_vander_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linalg_vector_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linspace_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linspace_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linspace_tensor_overload_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_linspace_tensor_overload_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log10_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log10_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log1p_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log1p_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log1p_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log1p_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log1p_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log_normal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log_softmax_with_dtype_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log_softmax_with_dtype_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_log_softmax_with_dtype_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logaddexp2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logaddexp2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logaddexp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logcumsumexp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logcumsumexp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_and_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_and_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_and_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_and_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_not_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_not_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_or_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_or_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_xor_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_xor_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_xor_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logical_xor_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logit_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logit_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logspace_tensor_overload_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logspace_tensor_overload_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logsumexp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logsumexp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_logsumexp_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_long_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lt_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lt_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lu_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_lu_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mH_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mH_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mT_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_amax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_amax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_amin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_amin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_argmax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_cumprod_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_cumprod_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_cumsum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_fill_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_fill_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_log_softmax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_log_softmax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_log_softmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_logaddexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_logsumexp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_logsumexp_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_median_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_median_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_normalize_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_prod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_prod_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_scatter_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_select_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_select_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_select_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_select_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_softmax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_std_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_sum_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_var_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_masked_var_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_matmul_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_matrix_exp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_max_binary_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_max_pool2d_with_indices_backward_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_max_reduction_no_dim_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_max_reduction_no_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_max_reduction_with_dim_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_max_reduction_with_dim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mean_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_meshgrid_list_of_tensors_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_meshgrid_list_of_tensors_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_meshgrid_list_of_tensors_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_meshgrid_variadic_tensors_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_meshgrid_variadic_tensors_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_meshgrid_variadic_tensors_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_meshgrid_variadic_tensors_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_min_binary_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_min_binary_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_min_reduction_no_dim_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_min_reduction_with_dim_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_min_reduction_with_dim_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_min_reduction_with_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_min_reduction_with_dim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_min_reduction_with_dim_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mode_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mode_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_movedim_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_movedim_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_movedim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_movedim_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_msort_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_msort_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_msort_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mul_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mvlgamma_mvlgamma_p_1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mvlgamma_mvlgamma_p_3_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_mvlgamma_mvlgamma_p_5_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nan_to_num_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nan_to_num_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nan_to_num_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nan_to_num_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nan_to_num_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nanmean_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nanmean_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nansum_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nansum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nansum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_narrow_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_narrow_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_native_batch_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_native_batch_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_native_batch_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_native_dropout_backward_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ne_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ne_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ne_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ne_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_neg_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_neg_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_neg_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_neg_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_empty_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_empty_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_empty_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_empty_strided_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_full_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_full_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_full_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_ones_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_ones_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_ones_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_ones_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_zeros_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_zeros_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_new_zeros_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nextafter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_adaptive_avg_pool1d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_adaptive_avg_pool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_adaptive_max_pool3d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_alpha_dropout_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_alpha_dropout_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_avg_pool1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_avg_pool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_bilinear_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_celu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_channel_shuffle_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_channel_shuffle_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_conv1d_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_conv1d_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_conv2d_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_conv2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_conv_transpose1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_conv_transpose1d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_conv_transpose2d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_conv_transpose2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_ctc_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_dropout3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_dropout3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_dropout_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_elu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_embedding_bag_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_fractional_max_pool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_fractional_max_pool3d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_fractional_max_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_gelu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_gelu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_glu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_grid_sample_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_group_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_hardshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_huber_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_instance_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_interpolate_area_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_interpolate_area_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_interpolate_bicubic_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_interpolate_linear_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_interpolate_linear_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_interpolate_nearest_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_interpolate_nearest_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_kl_div_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_layer_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_layer_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_layer_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_leaky_relu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_local_response_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_local_response_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_margin_ranking_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_margin_ranking_loss_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_max_pool1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_max_pool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_max_pool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_max_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_max_unpool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_max_unpool2d_grad_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_max_unpool2d_grad_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_max_unpool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_mish_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_mse_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_multi_margin_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_multi_margin_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_normalize_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_one_hot_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pad_circular_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pad_constant_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pad_constant_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pad_constant_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pad_reflect_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pad_replicate_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pad_replicate_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pad_replicate_negative_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pixel_shuffle_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pixel_shuffle_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_pixel_unshuffle_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_poisson_nll_loss_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_relu6_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_relu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_relu_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_rms_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_rrelu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_scaled_dot_product_attention_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_soft_margin_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_softmin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_softmin_with_dtype_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_softplus_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_softsign_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_softsign_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_softsign_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_tanhshrink_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_threshold_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_threshold_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_triplet_margin_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_triplet_margin_loss_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_triplet_margin_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_triplet_margin_loss_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_unfold_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_unfold_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nn_functional_upsample_bilinear_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nonzero_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nonzero_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_nonzero_static_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_norm_fro_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_norm_inf_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_norm_inf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_normal_in_place_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_normal_number_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_like_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_like_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_like_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_like_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_ones_like_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_outer_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_outer_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_permute_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_pinverse_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_polygamma_polygamma_n_0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_polygamma_polygamma_n_1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_polygamma_polygamma_n_1_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_polygamma_polygamma_n_1_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_polygamma_polygamma_n_2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_polygamma_polygamma_n_2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_polygamma_polygamma_n_4_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_polygamma_polygamma_n_4_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_polygamma_polygamma_n_4_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_positive_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_positive_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_pow_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_pow_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_prod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_prod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_put_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_put_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_put_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_put_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_put_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rad2deg_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rad2deg_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rad2deg_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rand_like_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_randint_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_randint_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_randint_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_randn_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_randn_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_real_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_reciprocal_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_reciprocal_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_remainder_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_remainder_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_renorm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_renorm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_repeat_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_repeat_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_repeat_interleave_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_repeat_interleave_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_repeat_interleave_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_reshape_as_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_reshape_as_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_reshape_as_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_reshape_as_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_resize__cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_resize__cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_resize__cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_resize_as__cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_resolve_neg_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_resolve_neg_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_resolve_neg_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_resolve_neg_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rot90_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rot90_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rot90_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_round_decimals_0_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_round_decimals_3_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rsqrt_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rsqrt_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rsub_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rsub_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_rsub_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scalar_tensor_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scalar_tensor_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scalar_tensor_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_add_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_add_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_add_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_reduce_amin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_reduce_amin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_reduce_mean_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_reduce_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_reduce_mean_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_reduce_prod_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_reduce_prod_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_scatter_reduce_sum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_searchsorted_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_select_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_select_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_select_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_select_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sgn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sgn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_short_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_short_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_short_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_short_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sign_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_signal_windows_blackman_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_signal_windows_gaussian_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_signal_windows_general_hamming_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_signal_windows_hann_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_signal_windows_kaiser_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_signbit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinc_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinc_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinc_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinc_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinc_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinc_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinh_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinh_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sinh_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_slice_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_slice_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_slice_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_slice_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_slice_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_softmax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sort_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_airy_ai_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_bessel_j0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_bessel_j0_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_bessel_j0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_bessel_j0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_bessel_y0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_bessel_y1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_chebyshev_polynomial_t_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_chebyshev_polynomial_t_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_chebyshev_polynomial_u_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_chebyshev_polynomial_v_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_chebyshev_polynomial_w_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_entr_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_entr_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_entr_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_erfcx_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_erfcx_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_hermite_polynomial_h_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_hermite_polynomial_he_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i0e_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i0e_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i0e_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i0e_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i1_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i1e_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i1e_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_i1e_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_laguerre_polynomial_l_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_laguerre_polynomial_l_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_laguerre_polynomial_l_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_legendre_polynomial_p_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_legendre_polynomial_p_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_legendre_polynomial_p_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_log_ndtr_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_log_ndtr_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_modified_bessel_i0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_modified_bessel_i0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_modified_bessel_i1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_modified_bessel_i1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_modified_bessel_i1_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_modified_bessel_k0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_modified_bessel_k0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_ndtr_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_ndtr_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_ndtr_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_ndtr_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_ndtri_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_ndtri_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_ndtri_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_polygamma_special_polygamma_n_0_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_scaled_modified_bessel_k0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_shifted_chebyshev_polynomial_t_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_shifted_chebyshev_polynomial_u_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_shifted_chebyshev_polynomial_v_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_shifted_chebyshev_polynomial_w_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_spherical_bessel_j0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_xlog1py_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_xlog1py_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_zeta_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_special_zeta_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_split_list_args_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_split_list_args_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_split_with_sizes_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_split_with_sizes_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_split_with_sizes_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_split_with_sizes_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sqrt_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sqrt_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_square_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_square_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_squeeze_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_squeeze_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_squeeze_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_squeeze_multiple_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_squeeze_multiple_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_stack_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_stack_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_stack_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_std_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_std_mean_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_std_mean_unbiased_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_std_mean_unbiased_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_std_unbiased_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_stft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sub_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sub_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sub_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sub_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sum_to_size_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sum_to_size_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sum_to_size_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_sum_to_size_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_svd_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_svd_lowrank_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_t_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_t_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_take_along_dim_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_take_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_take_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_take_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tan_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tanh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tanh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tanh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tanh_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tanh_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tensor_split_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tensor_split_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tensordot_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tensordot_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tensordot_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tile_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tile_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_to_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_to_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_to_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_to_sparse_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_to_sparse_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_to_sparse_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_to_sparse_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_to_sparse_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_topk_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_topk_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_topk_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_topk_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_trace_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_transpose_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_transpose_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_trapezoid_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_trapezoid_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_trapezoid_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_trapz_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_trapz_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_triangular_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_triangular_solve_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tril_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_tril_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_triu_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_triu_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_true_divide_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_trunc_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_trunc_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unbind_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unbind_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unbind_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unbind_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unbind_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unbind_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unbind_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unflatten_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unflatten_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unflatten_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unfold_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unfold_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unfold_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unfold_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unfold_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unfold_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unique_consecutive_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unique_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unique_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unique_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unique_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unique_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unique_cuda_uint64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unique_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unravel_index_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unravel_index_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_chunk_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_chunk_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_chunk_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_chunk_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_chunk_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_chunk_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_chunk_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_split_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_split_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_split_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsafe_split_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsqueeze_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsqueeze_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_unsqueeze_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_var_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_var_mean_unbiased_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_var_unbiased_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_var_unbiased_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_inplace_var_unbiased_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_var_unbiased_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_view_as_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_view_as_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_view_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_vsplit_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_vsplit_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_vstack_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_vstack_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_where_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_where_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_zero__cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_zero__cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_inplace_zero__cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_zeros_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_inplace_zeros_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_inplace_zeros_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_inplace_zeros_like_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_inplace_zeros_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_H_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_H_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_H_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_T_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_T_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace___getitem___cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace___getitem___cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace___getitem___cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace___radd___cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace___radd___cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rdiv___cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rdiv___cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rdiv___cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rdiv___cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rmod___cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rmul___cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace___ror___cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace___ror___cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rpow___cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rsub___cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rsub___cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rsub___cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace___rxor___cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__chunk_cat_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__chunk_cat_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__chunk_cat_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_abs_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_abs_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_abs_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_abs_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_acos_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_acos_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_acos_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_add_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_addcdiv_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_addcdiv_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_addcdiv_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_addcdiv_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_addcmul_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_asin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_asin_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_clamp_max_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_clamp_max_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_clamp_max_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_clamp_min_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_clamp_min_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_clamp_min_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_cos_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_cos_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_cosh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_cosh_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_div_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_erf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_erf_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_erf_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_erfc_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_erfc_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_erfc_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_erfc_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_exp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_expm1_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_expm1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_expm1_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_expm1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_floor_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_floor_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_floor_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_floor_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_frac_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_lerp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_lerp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_log10_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_log10_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_log1p_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_log1p_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_log2_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_log2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_log_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_log_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_max_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_maximum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_maximum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_minimum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_minimum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_minimum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_minimum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_minimum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_mul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_neg_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_norm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_norm_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_norm_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_pow_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_reciprocal_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_reciprocal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_reciprocal_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_reciprocal_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_round_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_round_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_rsqrt_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_rsqrt_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sigmoid_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sigmoid_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sigmoid_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sigmoid_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sign_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sign_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sinh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sqrt_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sqrt_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sqrt_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sub_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_sub_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_tan_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_tan_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_tan_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_tan_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_tanh_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_tanh_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_trunc_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_trunc_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_zero_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_zero_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_zero_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace__foreach_zero_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__softmax_backward_data_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__unsafe_masked_index_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace__unsafe_masked_index_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__unsafe_masked_index_put_accumulate_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace__unsafe_masked_index_put_accumulate_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace__upsample_bilinear2d_aa_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace__upsample_bilinear2d_aa_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_abs_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_abs_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_abs_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_abs_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_acos_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_acos_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_acos_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_acosh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_acosh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_acosh_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_acosh_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_acosh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_add_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_add_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_add_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addbmm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addcdiv_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addcdiv_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addcdiv_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addcmul_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addcmul_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addmm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addmm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addmm_decomposed_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addr_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_addr_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_alias_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_alias_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_alias_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_alias_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_all_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_all_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_all_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_allclose_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_allclose_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_amax_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_amax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_amin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_aminmax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_aminmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_angle_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_any_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_any_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_arange_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_arange_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_argmax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_argmax_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_argmin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_argmin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_argmin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_argsort_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_argsort_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_argwhere_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_argwhere_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_as_strided_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_as_strided_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_as_strided_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_as_strided_scatter_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_as_strided_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_as_strided_scatter_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asinh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asinh_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asinh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asinh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_asinh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atan2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atan2_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atan2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atan_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atan_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atanh_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atanh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atanh_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atleast_1d_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atleast_1d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atleast_1d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atleast_1d_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atleast_2d_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atleast_2d_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atleast_2d_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atleast_3d_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_atleast_3d_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bfloat16_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bfloat16_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bfloat16_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bincount_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bincount_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bitwise_and_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bitwise_and_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bitwise_not_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bitwise_or_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bitwise_or_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bitwise_right_shift_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bitwise_xor_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bmm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bmm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bool_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bool_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_broadcast_tensors_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_broadcast_tensors_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_broadcast_to_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_broadcast_to_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_broadcast_to_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_broadcast_to_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bucketize_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bucketize_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_bucketize_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_byte_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_byte_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_byte_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cartesian_prod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cat_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cauchy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cdouble_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cdouble_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ceil_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ceil_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cfloat_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_chalf_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_chalf_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_chalf_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_chalf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_chalf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_chalf_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_char_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_char_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_char_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_char_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_chunk_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_chunk_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_clamp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_clamp_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_clamp_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_clone_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_clone_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_clone_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_column_stack_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_combinations_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_combinations_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_conj_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_conj_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_conj_physical_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_conj_physical_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_constant_pad_nd_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_constant_pad_nd_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_contiguous_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_contiguous_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_copysign_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_copysign_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_copysign_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_corrcoef_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cos_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cosh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cosh_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cosh_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_count_nonzero_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_count_nonzero_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_count_nonzero_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cov_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cov_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cross_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cross_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cummax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cummax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cummin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cumprod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cumprod_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cumprod_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cumprod_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cumsum_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cumsum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cumulative_trapezoid_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cumulative_trapezoid_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_cumulative_trapezoid_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_deg2rad_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diag_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diag_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diag_embed_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagflat_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagflat_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_scatter_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_scatter_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diagonal_scatter_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diff_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diff_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_diff_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_digamma_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_div_floor_rounding_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_div_floor_rounding_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_div_no_rounding_mode_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_div_trunc_rounding_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_div_trunc_rounding_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_div_trunc_rounding_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_dot_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_double_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_double_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_double_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_dstack_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_dstack_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_dstack_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_einsum_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_like_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_permuted_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_permuted_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_permuted_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_permuted_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_strided_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_strided_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_strided_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_empty_strided_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_eq_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_eq_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_eq_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_eq_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_eq_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_eq_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_equal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_equal_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_equal_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_equal_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_equal_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_erf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_erf_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_erf_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_erfc_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_erfc_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_erfinv_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_erfinv_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_exp2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_exp2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_exp_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_exp_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expand_as_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expand_as_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expand_as_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expand_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expand_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expand_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expand_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expand_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expand_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expm1_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_expm1_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_exponential_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_eye_cuda_float8_e4m3fnuz, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fft2_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fft2_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fft2_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fft_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fftn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fftn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fftn_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fftn_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_fftshift_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfft2_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfft2_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfft2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfft_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfft_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfft_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfftn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfftn_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfftn_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfftn_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_hfftn_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ifft2_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ifft2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ifft_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ifft_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ifftn_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ifftn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ifftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ifftshift_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ihfft_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ihfftn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_ihfftn_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_irfft2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_irfft2_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_irfft_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_irfft_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_irfftn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_irfftn_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_rfft2_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_rfft2_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_rfft_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_rfft_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fft_rfftn_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fill_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fill_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_flatten_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_flatten_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_flip_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_flip_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_flip_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fliplr_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fliplr_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_flipud_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_float_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_float_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_float_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_float_power_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_float_power_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_floor_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_floor_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_floor_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_floor_divide_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_floor_divide_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fmax_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fmin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fmin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_fmod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_full_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_full_like_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_full_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_full_like_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_full_like_cuda_uint32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_gather_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_gather_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_gather_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_gather_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_geometric_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_geometric_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_geqrf_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_gradient_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_gradient_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_gradient_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_grid_sampler_2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_half_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_hash_tensor_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_hash_tensor_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_heaviside_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_histc_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_hsplit_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_hsplit_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_hsplit_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_hstack_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_hstack_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_hypot_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_hypot_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_i0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_i0_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_igamma_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_imag_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_imag_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_add_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_add_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_add_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_add_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_add_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_fill_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_fill_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_put_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_reduce_amax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_reduce_amax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_reduce_amax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_reduce_amin_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_reduce_amin_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_reduce_mean_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_reduce_mean_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_reduce_prod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_select_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_index_select_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_inner_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_inner_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_int_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_int_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isclose_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isclose_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isclose_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isclose_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isfinite_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isfinite_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isfinite_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isinf_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isinf_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isnan_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isnan_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isnan_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isnan_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isnan_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isposinf_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isposinf_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isreal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isreal_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_isreal_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_istft_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_istft_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_2inputs_2outputs_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_2inputs_2outputs_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_2inputs_2outputs_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_2inputs_2outputs_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_2inputs_2outputs_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_4inputs_with_extra_args_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_binary_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_binary_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_binary_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_binary_return_by_ref_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_binary_return_by_ref_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_binary_return_by_ref_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_jiterator_unary_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_kron_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_kron_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_kthvalue_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ldexp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ldexp_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ldexp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ldexp_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ldexp_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_lerp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_lerp_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_lgamma_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_cholesky_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_cholesky_ex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_cholesky_ex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_cond_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_cond_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_cross_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_cross_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_det_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_det_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_diagonal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_diagonal_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_eig_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_householder_product_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_inv_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_inv_ex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_inv_ex_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_ldl_factor_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_lstsq_grad_oriented_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_lu_factor_ex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_lu_factor_ex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_lu_factor_ex_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_lu_solve_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_matrix_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_matrix_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_matrix_power_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_matrix_power_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_matrix_power_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_matrix_rank_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_matrix_rank_hermitian_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_multi_dot_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_norm_subgradients_at_zero_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_pinv_hermitian_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_pinv_hermitian_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_pinv_hermitian_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_pinv_singular_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_pinv_singular_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_qr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_slogdet_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_solve_ex_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_solve_ex_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_svdvals_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_vander_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_vander_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_vander_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_vander_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_vecdot_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_vector_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linalg_vector_norm_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linspace_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_linspace_tensor_overload_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log10_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log10_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log10_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log1p_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log1p_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log1p_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log1p_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log2_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log2_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log_normal_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log_normal_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log_softmax_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_log_softmax_with_dtype_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logaddexp2_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logcumsumexp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logcumsumexp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logcumsumexp_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logcumsumexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logcumsumexp_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_and_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_and_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_not_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_not_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_not_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_not_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_or_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_or_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_or_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_or_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_xor_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logical_xor_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logspace_tensor_overload_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logspace_tensor_overload_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logspace_tensor_overload_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logsumexp_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_logsumexp_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_long_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_long_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_long_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_lu_solve_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mH_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mH_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mH_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mH_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mT_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_amax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_amax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_amax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_amin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_argmax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_argmax_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_argmax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_argmax_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_argmax_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_argmin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_argmin_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_cumsum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_fill_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_fill_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_fill_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_logaddexp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_logsumexp_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_logsumexp_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_mean_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_prod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_prod_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_scatter_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_select_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_select_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_select_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_std_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_std_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_std_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_sum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_sum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_var_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_masked_var_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_matmul_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_matrix_exp_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_binary_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_binary_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_binary_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_reduction_no_dim_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_reduction_no_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_reduction_no_dim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_reduction_with_dim_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_reduction_with_dim_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_reduction_with_dim_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_max_reduction_with_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_maximum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mean_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_min_binary_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_min_binary_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_min_binary_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_min_reduction_no_dim_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_min_reduction_no_dim_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_min_reduction_with_dim_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_min_reduction_with_dim_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_min_reduction_with_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_minimum_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_minimum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mode_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mode_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_movedim_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_movedim_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_msort_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_msort_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mul_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mul_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mul_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mul_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mvlgamma_mvlgamma_p_1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_mvlgamma_mvlgamma_p_5_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nan_to_num_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nan_to_num_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nanmean_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nanmedian_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nanmedian_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nansum_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nansum_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nansum_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nansum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_narrow_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_narrow_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_narrow_copy_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_narrow_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_native_batch_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_native_batch_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_native_dropout_backward_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_native_layer_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_native_layer_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ne_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ne_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_empty_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_empty_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_empty_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_empty_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_empty_strided_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_empty_strided_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_empty_strided_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_empty_strided_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_full_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_full_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_new_ones_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_adaptive_avg_pool1d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_adaptive_avg_pool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_adaptive_max_pool2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_adaptive_max_pool3d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_alpha_dropout_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_avg_pool1d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_avg_pool2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_batch_norm_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_channel_shuffle_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_channel_shuffle_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_conv1d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_conv3d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_conv_transpose2d_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_conv_transpose3d_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_conv_transpose3d_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_cosine_embedding_loss_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_cosine_similarity_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_cross_entropy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_ctc_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_ctc_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_dropout_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_elu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_embedding_bag_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_fractional_max_pool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_fractional_max_pool3d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_fractional_max_pool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_gaussian_nll_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_gaussian_nll_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_gelu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_grid_sample_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_group_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_group_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_hardshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_hardtanh_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_hardtanh_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_hinge_embedding_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_hinge_embedding_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_huber_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_interpolate_area_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_interpolate_bicubic_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_interpolate_bilinear_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_interpolate_bilinear_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_interpolate_linear_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_interpolate_nearest-exact_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_local_response_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_logsigmoid_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_max_pool1d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_max_pool1d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_max_pool2d_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_max_pool2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_max_pool3d_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_max_unpool2d_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_max_unpool2d_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_max_unpool2d_grad_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_mish_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_multi_margin_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_multi_margin_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_multi_margin_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_multilabel_margin_loss_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_nll_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_normalize_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_one_hot_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pad_circular_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pad_circular_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pad_circular_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pad_constant_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pad_reflect_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pad_reflect_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pad_replicate_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pad_replicate_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pad_replicate_negative_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pairwise_distance_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pairwise_distance_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pairwise_distance_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pairwise_distance_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pairwise_distance_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pairwise_distance_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pairwise_distance_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pixel_shuffle_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pixel_shuffle_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pixel_shuffle_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_pixel_unshuffle_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_poisson_nll_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_prelu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_relu6_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_relu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_relu_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_rms_norm_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_rms_norm_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_rrelu_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_scaled_dot_product_attention_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_selu_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_silu_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_smooth_l1_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_soft_margin_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_softmin_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_softmin_with_dtype_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_softshrink_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_softsign_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_tanhshrink_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_tanhshrink_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_threshold_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_threshold_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_triplet_margin_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_triplet_margin_loss_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_triplet_margin_loss_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_triplet_margin_loss_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_unfold_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_upsample_bilinear_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nn_functional_upsample_nearest_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nonzero_static_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nonzero_static_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_nonzero_static_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_norm_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_norm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_norm_fro_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_norm_fro_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_norm_nuc_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_norm_nuc_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_norm_nuc_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_normal_in_place_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ones_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ones_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ones_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ones_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ones_like_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ones_like_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ormqr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_pca_lowrank_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_pca_lowrank_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_permute_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_permute_copy_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_permute_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_permute_copy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_permute_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_permute_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_permute_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_permute_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polar_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_0_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_1_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_1_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_2_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_2_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_3_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_3_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_3_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_3_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_3_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_4_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_4_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_polygamma_polygamma_n_4_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_positive_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_positive_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_positive_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_pow_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_prod_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_prod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_put_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_qr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rad2deg_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rad2deg_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rad2deg_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rad2deg_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rand_like_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rand_like_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rand_like_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_randint_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_randint_like_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_randint_like_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_randint_like_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_randint_like_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_randn_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_randn_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_randn_like_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_ravel_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_real_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_reciprocal_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_reciprocal_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_reciprocal_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_remainder_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_remainder_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_renorm_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_repeat_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_repeat_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_repeat_interleave_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_repeat_interleave_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_reshape_as_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_reshape_as_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_reshape_as_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_reshape_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_reshape_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_reshape_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resize__cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resize__cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resize_as__cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resolve_conj_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resolve_conj_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resolve_conj_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resolve_neg_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resolve_neg_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resolve_neg_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resolve_neg_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_resolve_neg_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_roll_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_roll_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rot90_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rot90_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rot90_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_round_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_round_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_round_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_round_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_round_decimals_0_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_round_decimals_neg_3_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rsqrt_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rsqrt_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rsqrt_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rsub_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_rsub_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_add_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_add_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_amax_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_amax_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_amax_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_amax_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_amax_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_amin_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_amin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_mean_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_prod_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_prod_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_scatter_reduce_sum_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_searchsorted_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_select_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_select_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_select_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_select_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_select_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_select_scatter_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sgn_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sgn_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sgn_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_short_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_short_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_short_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sigmoid_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sigmoid_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sigmoid_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sigmoid_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sigmoid_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sigmoid_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sign_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sign_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_signal_windows_cosine_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_signal_windows_general_hamming_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_signal_windows_hann_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_signbit_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_signbit_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_signbit_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sin_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sin_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sin_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sin_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sinc_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sinc_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sinc_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sinc_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sinh_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sinh_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sinh_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sinh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_slice_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_slice_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_slice_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_slice_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_slice_scatter_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_slice_scatter_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_softmax_with_dtype_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_softmax_with_dtype_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sort_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_airy_ai_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_bessel_y0_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_bessel_y0_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_bessel_y1_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_bessel_y1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_chebyshev_polynomial_t_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_chebyshev_polynomial_t_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_chebyshev_polynomial_t_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_chebyshev_polynomial_u_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_chebyshev_polynomial_v_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_entr_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_hermite_polynomial_h_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_hermite_polynomial_h_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_hermite_polynomial_h_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_i0e_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_i0e_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_i0e_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_i1_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_i1e_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_laguerre_polynomial_l_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_laguerre_polynomial_l_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_log_ndtr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_log_ndtr_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_modified_bessel_i0_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_modified_bessel_i0_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_modified_bessel_k0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_modified_bessel_k0_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_modified_bessel_k1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_ndtr_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_ndtr_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_ndtr_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_polygamma_special_polygamma_n_0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_scaled_modified_bessel_k0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_scaled_modified_bessel_k1_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_scaled_modified_bessel_k1_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_scaled_modified_bessel_k1_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_shifted_chebyshev_polynomial_u_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_shifted_chebyshev_polynomial_v_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_shifted_chebyshev_polynomial_w_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_spherical_bessel_j0_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_xlog1py_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_xlog1py_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_special_xlog1py_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_split_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_split_list_args_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_split_with_sizes_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_split_with_sizes_copy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_split_with_sizes_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_split_with_sizes_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sqrt_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sqrt_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_squeeze_copy_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_squeeze_copy_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_squeeze_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_squeeze_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_squeeze_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_squeeze_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_squeeze_multiple_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_squeeze_multiple_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_squeeze_multiple_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_stack_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_stack_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_std_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_std_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_std_unbiased_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_std_unbiased_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sub_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sub_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sum_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sum_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sum_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_sum_to_size_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_take_along_dim_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_take_along_dim_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_take_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tan_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tan_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tanh_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tanh_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tanh_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tensor_split_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tensor_split_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tensordot_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tile_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tile_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tile_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tile_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_to_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_to_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_to_sparse_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_to_sparse_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_to_sparse_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_topk_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_torch_ops_aten__efficient_attention_forward_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trace_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trace_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_transpose_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_transpose_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_transpose_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trapezoid_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trapezoid_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trapezoid_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trapz_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trapz_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trapz_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_triangular_solve_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tril_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_tril_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_triu_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_triu_cuda_complex128, test/test_meta.py::TestMetaCUDA::test_meta_outplace_triu_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_true_divide_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_true_divide_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trunc_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trunc_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_trunc_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unbind_copy_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unbind_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unbind_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unbind_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unbind_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unbind_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unbind_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unflatten_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unflatten_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unflatten_cuda_uint8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unfold_copy_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unfold_copy_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unfold_copy_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unfold_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unfold_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unfold_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unfold_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_uniform_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_uniform_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_uniform_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unique_consecutive_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unique_consecutive_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unique_cuda_bfloat16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unique_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unique_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unique_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unravel_index_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unsafe_split_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unsafe_split_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unsafe_split_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unsqueeze_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unsqueeze_copy_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unsqueeze_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unsqueeze_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unsqueeze_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_unsqueeze_cuda_int32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_var_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_var_cuda_float64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_var_mean_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_var_mean_unbiased_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_var_unbiased_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_vdot_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_view_as_cuda_complex32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_view_as_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_view_as_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_view_copy_cuda_float32, test/test_meta.py::TestMetaCUDA::test_meta_outplace_view_copy_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_vsplit_cuda_bool, test/test_meta.py::TestMetaCUDA::test_meta_outplace_vsplit_cuda_int16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_vstack_cuda_complex64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_vstack_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_vstack_cuda_int8, test/test_meta.py::TestMetaCUDA::test_meta_outplace_where_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_xlogy_cuda_float16, test/test_meta.py::TestMetaCUDA::test_meta_outplace_xlogy_cuda_int64, test/test_meta.py::TestMetaCUDA::test_meta_outplace_zeros_cuda_int64, test/test_meta.py::TestMetaCUDA::test_quantized_embedding_bag_cuda, test/test_meta.py::TestMetaCUDA::test_segment_reduce_backward_cuda 2025-12-04T13:41:45.1527164Z 2025-12-04T13:41:45.1527474Z Finished test_meta 4/5 ... [2025-12-04 13:41:44.480600][14940.230140099], took 23.96min 2025-12-04T13:41:45.1528542Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_meta/test_meta-4fc1614e6a44358d.xml 2025-12-04T13:41:45.2737693Z Uploading artifacts took 0.47 seconds 2025-12-04T13:41:45.2742316Z Running test_ops_gradients 2/2 ... [2025-12-04 13:41:45.274047][14941.023592054] 2025-12-04T13:41:45.2742876Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T13:41:45.2746917Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops_gradients.py', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 13:41:45.274450] 2025-12-04T13:52:20.6539120Z 2025-12-04T13:52:20.6540094Z test_ops_gradients 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_2.2_dfe056675ccb817e_.log 2025-12-04T13:52:20.7847494Z Running 2715 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyMulScalarCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyNMSCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpySortCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpySplitCopyCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyTakeCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_NumpyViewCopyCustomOp_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_T_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___getitem___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___radd___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rdiv___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rdiv___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rpow___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rsub___cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad___rsub___cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__chunk_cat_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__chunk_cat_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__segment_reduce_offsets_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__softmax_backward_data_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__unsafe_masked_index_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__unsafe_masked_index_put_accumulate_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__unsafe_masked_index_put_accumulate_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad__upsample_bilinear2d_aa_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_abs_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_acos_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_acosh_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_acosh_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addbmm_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addcdiv_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addcdiv_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addcmul_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addcmul_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addmm_decomposed_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_addmv_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_alias_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_all_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_allclose_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_allclose_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_amax_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_amin_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_aminmax_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_any_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_any_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_arange_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_argwhere_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_fn_fail_gradgrad_as_strided_copy_cuda_complex128, 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test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_glu_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_hardsigmoid_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_hardtanh_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_instance_norm_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_interpolate_area_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_interpolate_linear_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_l1_loss_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_l1_loss_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_local_response_norm_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_logsigmoid_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_margin_ranking_loss_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_max_unpool3d_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_mse_loss_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_multi_margin_loss_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_multilabel_margin_loss_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_pad_circular_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_pad_reflect_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_pad_reflect_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_rms_norm_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_rms_norm_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_rrelu_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_scaled_dot_product_attention_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_silu_complex_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_softmin_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_softsign_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_tanhshrink_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_threshold_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_unfold_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nn_functional_upsample_nearest_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_nonzero_static_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_norm_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_norm_fro_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_norm_inf_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_norm_inf_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_normal_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_normal_in_place_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_normal_in_place_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_normal_number_mean_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_ones_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_ones_like_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_ones_like_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_outer_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_pca_lowrank_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_pca_lowrank_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_permute_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_permute_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_permute_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_pinverse_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_polygamma_polygamma_n_1_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_prod_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_put_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_qr_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_rand_like_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_randint_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_randint_like_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_randn_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_randn_like_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_ravel_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_reciprocal_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_remainder_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_repeat_interleave_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_reshape_as_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_reshape_as_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_resize__cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_resize__cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_resize_as__cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_resolve_conj_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_resolve_conj_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_resolve_neg_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_roll_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_rot90_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_round_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_round_decimals_0_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_rsqrt_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_rsqrt_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_rsub_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_scalar_tensor_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_scatter_add_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_scatter_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_scatter_reduce_amin_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_scatter_reduce_sum_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_select_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sgn_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_short_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sigmoid_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sign_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_bartlett_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_blackman_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_cosine_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_gaussian_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_general_cosine_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_hann_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_kaiser_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signal_windows_nuttall_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_signbit_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sin_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sin_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sinc_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sinc_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sinh_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_slice_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_slice_scatter_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_softmax_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_softmax_with_dtype_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sort_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sparse_mm_reduce_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sparse_sampled_addmm_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sparse_sampled_addmm_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_airy_ai_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_bessel_j0_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_bessel_j1_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_bessel_y1_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_chebyshev_polynomial_v_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_erfcx_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_hermite_polynomial_h_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_i0e_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_i1_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_laguerre_polynomial_l_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_legendre_polynomial_p_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_modified_bessel_k0_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_scaled_modified_bessel_k1_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_u_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_v_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_special_spherical_bessel_j0_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_list_args_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_with_sizes_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_with_sizes_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_split_with_sizes_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sqrt_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sqrt_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_square_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_squeeze_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_squeeze_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_squeeze_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_squeeze_multiple_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_unbiased_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_std_unbiased_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_stft_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sub_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sum_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sum_to_size_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_sum_to_size_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_svd_lowrank_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_svd_lowrank_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_t_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_t_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_t_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_t_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_take_along_dim_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_take_along_dim_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tanh_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tanh_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tensordot_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tile_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_to_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_to_sparse_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_to_sparse_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trace_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trace_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_transpose_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trapezoid_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trapz_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_trapz_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_triangular_solve_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_tril_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_triu_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_true_divide_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_true_divide_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unbind_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unbind_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unflatten_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unfold_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unfold_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_uniform_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_uniform_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unique_consecutive_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsafe_chunk_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsafe_chunk_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsafe_split_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsafe_split_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsqueeze_copy_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsqueeze_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_unsqueeze_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_mean_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_var_unbiased_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_vdot_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_vdot_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_as_complex_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_as_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_as_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_copy_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_view_cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_vsplit_cuda_complex128, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_zero__cuda_float64, test/test_ops_gradients.py::TestBwdGradientsCUDA::test_inplace_gradgrad_zeros_cuda_complex128 2025-12-04T13:52:20.9126186Z 2025-12-04T13:52:20.9126563Z Finished test_ops_gradients 2/2 ... [2025-12-04 13:52:20.658032][15576.407574337], took 10.59min 2025-12-04T13:52:20.9128051Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-2c97293c5fa5f0fa.xml 2025-12-04T13:52:20.9129303Z Running test_cuda_expandable_segments 1/1 ... [2025-12-04 13:52:20.841736][15576.591279172] 2025-12-04T13:52:20.9129887Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T13:52:20.9131240Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_cuda_expandable_segments.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 13:52:20.842195] 2025-12-04T13:56:55.8916441Z 2025-12-04T13:56:55.8917585Z PRINTING LOG FILE of test_cuda_expandable_segments 1/1 (test/test-reports/test_cuda_expandable_segments_1.1_5a43a97c379ac2cb_.log) 2025-12-04T13:56:55.8919445Z /var/lib/jenkins/workspace/test/test_cuda_expandable_segments.py:36: FutureWarning: torch.cuda._set_allocator_settings is deprecated. Use torch._C._accelerator_setAllocatorSettings instead. 2025-12-04T13:56:55.8920757Z torch.cuda.memory._set_allocator_settings("expandable_segments:True") 2025-12-04T13:56:55.8921694Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to ./.pytorch-disabled-tests.json 2025-12-04T13:56:55.8922490Z Ignoring disabled issues: [''] 2025-12-04T13:56:55.8923307Z Test results will be stored in test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-9631e9174212ebb4.xml 2025-12-04T13:56:55.8924223Z ============================= test session starts ============================== 2025-12-04T13:56:55.8925250Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T13:56:55.8925862Z cachedir: .pytest_cache 2025-12-04T13:56:55.8926579Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T13:56:55.8927368Z rootdir: /var/lib/jenkins/workspace 2025-12-04T13:56:55.8927713Z configfile: pytest.ini 2025-12-04T13:56:55.8928497Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T13:56:55.8929353Z collecting ... collected 175 items 2025-12-04T13:56:55.8929762Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T13:56:55.9001593Z Running 175 items in this shard: test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_additional_free_following_checkpoint, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_allocate_in_thread_to_pool, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_allocated_in_middle_of_segment, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_assigning_back_deleter_fns_to_tensor, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_check_pool_live_allocations, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_middle_allocations_contiguous, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_multiple_middle_allocations, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_no_triton_on_import, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_resnet, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_simple, test/test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_tensor_dies_after_checkpoint, test/test_cuda_expandable_segments.py::TestCuda::test_arithmetic_large_tensor, test/test_cuda_expandable_segments.py::TestCuda::test_batch_norm_gather_stats, test/test_cuda_expandable_segments.py::TestCuda::test_bincount_ext, test/test_cuda_expandable_segments.py::TestCuda::test_caching_allocator_record_stream_oom, test/test_cuda_expandable_segments.py::TestCuda::test_caching_pinned_memory, test/test_cuda_expandable_segments.py::TestCuda::test_check_error, test/test_cuda_expandable_segments.py::TestCuda::test_copy_non_blocking, test/test_cuda_expandable_segments.py::TestCuda::test_copy_non_blocking_type_conversion, test/test_cuda_expandable_segments.py::TestCuda::test_cublas_allow_bf16_reduced_precision_reduction_get_set, test/test_cuda_expandable_segments.py::TestCuda::test_cublas_allow_fp16_accumulation_get_set, test/test_cuda_expandable_segments.py::TestCuda::test_cublas_allow_fp16_reduced_precision_reduction_get_set, test/test_cuda_expandable_segments.py::TestCuda::test_cublas_allow_tf32_get_set, test/test_cuda_expandable_segments.py::TestCuda::test_cublas_multiple_threads_same_device, test/test_cuda_expandable_segments.py::TestCuda::test_cublas_workspace_explicit_allocation, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_get_device_capability, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_get_device_name, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_get_device_properties, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_allocator_propagates_stream, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_error_options, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_False, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_True, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph_keep_graph_false, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph_reset_and_recapture, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_tensor_item_not_allowed, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_kernel_loop_overflow, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_kernel_loop_overflow_large, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_memory_leak_detection_propagates_errors, test/test_cuda_expandable_segments.py::TestCuda::test_cuda_stream_protocol, test/test_cuda_expandable_segments.py::TestCuda::test_cudart_register, test/test_cuda_expandable_segments.py::TestCuda::test_cudnn_allow_tf32_get_set, test/test_cuda_expandable_segments.py::TestCuda::test_cudnn_multiple_threads_same_device, test/test_cuda_expandable_segments.py::TestCuda::test_cusparse_multiple_threads_same_device, test/test_cuda_expandable_segments.py::TestCuda::test_device_context_manager, test/test_cuda_expandable_segments.py::TestCuda::test_device_count_not_cached_pre_init, test/test_cuda_expandable_segments.py::TestCuda::test_events, test/test_cuda_expandable_segments.py::TestCuda::test_events_elapsedtime, test/test_cuda_expandable_segments.py::TestCuda::test_fixed_cuda_assert_async, test/test_cuda_expandable_segments.py::TestCuda::test_float32_matmul_precision_get_set, test/test_cuda_expandable_segments.py::TestCuda::test_fp32_precision_with_float32_matmul_precision, test/test_cuda_expandable_segments.py::TestCuda::test_fp32_precision_with_tf32, test/test_cuda_expandable_segments.py::TestCuda::test_gather_bool, test/test_cuda_expandable_segments.py::TestCuda::test_gds_fails_in_ci, test/test_cuda_expandable_segments.py::TestCuda::test_generic_stream_event, test/test_cuda_expandable_segments.py::TestCuda::test_get_device_index, test/test_cuda_expandable_segments.py::TestCuda::test_get_per_process_memory_fraction, test/test_cuda_expandable_segments.py::TestCuda::test_graph_capture_oom, test/test_cuda_expandable_segments.py::TestCuda::test_graph_capture_reset_recapture, test/test_cuda_expandable_segments.py::TestCuda::test_graph_capture_simple, test/test_cuda_expandable_segments.py::TestCuda::test_graph_checkpoint_preserve_rng_state, test/test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay, test/test_cuda_expandable_segments.py::TestCuda::test_graph_cudnn_dropout, test/test_cuda_expandable_segments.py::TestCuda::test_graph_debugdump, test/test_cuda_expandable_segments.py::TestCuda::test_graph_error, test/test_cuda_expandable_segments.py::TestCuda::test_graph_is_current_stream_capturing, test/test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_disabled_allow_unused_input, test/test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_enabled_allow_unused_input, test/test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_allow_unused_input, test/test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_not_allow_unused_input, test/test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_same_pool, test/test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_enabled_allow_unused_input, test/test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_without_amp_not_allow_unused_input, test/test_cuda_expandable_segments.py::TestCuda::test_graph_manual_seed_mismatch_raises, test/test_cuda_expandable_segments.py::TestCuda::test_graph_memory_stats_and_use_result_after_destroy_graph, test/test_cuda_expandable_segments.py::TestCuda::test_graph_optims_with_explicitly_capturable_param_groups, test/test_cuda_expandable_segments.py::TestCuda::test_graph_record_stream, test/test_cuda_expandable_segments.py::TestCuda::test_graph_rng_distributions, test/test_cuda_expandable_segments.py::TestCuda::test_graph_rng_functional, test/test_cuda_expandable_segments.py::TestCuda::test_graph_three_successive, test/test_cuda_expandable_segments.py::TestCuda::test_graph_timing, test/test_cuda_expandable_segments.py::TestCuda::test_graph_two_successive, test/test_cuda_expandable_segments.py::TestCuda::test_graph_warn_if_has_zero_nodes, test/test_cuda_expandable_segments.py::TestCuda::test_graphsafe_set_get_rng_state, test/test_cuda_expandable_segments.py::TestCuda::test_hip_device_count, test/test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_huge_index, test/test_cuda_expandable_segments.py::TestCuda::test_index_out_of_bounds_exception_cuda, test/test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api, test/test_cuda_expandable_segments.py::TestCuda::test_is_pinned_no_context, test/test_cuda_expandable_segments.py::TestCuda::test_lazy_init, test/test_cuda_expandable_segments.py::TestCuda::test_manual_seed, test/test_cuda_expandable_segments.py::TestCuda::test_matmul_device_mismatch, test/test_cuda_expandable_segments.py::TestCuda::test_matmul_memory_use, test/test_cuda_expandable_segments.py::TestCuda::test_max_large_axis, test/test_cuda_expandable_segments.py::TestCuda::test_mean_fp16, test/test_cuda_expandable_segments.py::TestCuda::test_memory_allocation, test/test_cuda_expandable_segments.py::TestCuda::test_memory_stats, test/test_cuda_expandable_segments.py::TestCuda::test_memory_stats_of_multiple_generators_and_graphs, test/test_cuda_expandable_segments.py::TestCuda::test_min_max_inits, test/test_cuda_expandable_segments.py::TestCuda::test_multi_device_context_manager, test/test_cuda_expandable_segments.py::TestCuda::test_multi_device_stream_context_manager, test/test_cuda_expandable_segments.py::TestCuda::test_multinomial_ext, test/test_cuda_expandable_segments.py::TestCuda::test_multinomial_invalid_probs_cuda, test/test_cuda_expandable_segments.py::TestCuda::test_noncontiguous_pinned_memory, test/test_cuda_expandable_segments.py::TestCuda::test_norm_type_conversion, test/test_cuda_expandable_segments.py::TestCuda::test_nvtx, test/test_cuda_expandable_segments.py::TestCuda::test_out_of_memory, test/test_cuda_expandable_segments.py::TestCuda::test_out_of_memory_retry, test/test_cuda_expandable_segments.py::TestCuda::test_pinned_memory_empty_cache, test/test_cuda_expandable_segments.py::TestCuda::test_pinned_memory_use_background_threads, test/test_cuda_expandable_segments.py::TestCuda::test_pinned_memory_with_cudaregister, test/test_cuda_expandable_segments.py::TestCuda::test_pinned_memory_with_cudaregister_multithread, test/test_cuda_expandable_segments.py::TestCuda::test_preferred_blas_library_settings, test/test_cuda_expandable_segments.py::TestCuda::test_prod_large, test/test_cuda_expandable_segments.py::TestCuda::test_randint_generation_for_large_numel, test/test_cuda_expandable_segments.py::TestCuda::test_randint_randomness_for_large_range, test/test_cuda_expandable_segments.py::TestCuda::test_random_no_reused_random_states_float32, test/test_cuda_expandable_segments.py::TestCuda::test_random_no_reused_random_states_float64, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream, test/test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view, test/test_cuda_expandable_segments.py::TestCuda::test_reduction_gpu_memory_accessing, test/test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory, test/test_cuda_expandable_segments.py::TestCuda::test_rocm_backward_pass_guard, test/test_cuda_expandable_segments.py::TestCuda::test_serialization_array_with_empty, test/test_cuda_expandable_segments.py::TestCuda::test_serialization_array_with_storage, test/test_cuda_expandable_segments.py::TestCuda::test_set_per_process_memory_fraction, test/test_cuda_expandable_segments.py::TestCuda::test_specify_improper_device_name, test/test_cuda_expandable_segments.py::TestCuda::test_stream_compatibility, test/test_cuda_expandable_segments.py::TestCuda::test_stream_context_manager, test/test_cuda_expandable_segments.py::TestCuda::test_stream_event_repr, test/test_cuda_expandable_segments.py::TestCuda::test_streaming_backwards_callback, test/test_cuda_expandable_segments.py::TestCuda::test_streaming_backwards_multiple_streams, test/test_cuda_expandable_segments.py::TestCuda::test_streaming_backwards_sync, test/test_cuda_expandable_segments.py::TestCuda::test_streaming_backwards_sync_graph_root, test/test_cuda_expandable_segments.py::TestCuda::test_streams, test/test_cuda_expandable_segments.py::TestCuda::test_sum_fp16, test/test_cuda_expandable_segments.py::TestCuda::test_tiny_half_norm_, test/test_cuda_expandable_segments.py::TestCuda::test_to_cpu_blocking_by_default, test/test_cuda_expandable_segments.py::TestCuda::test_to_non_blocking, test/test_cuda_expandable_segments.py::TestCuda::test_to_numpy, test/test_cuda_expandable_segments.py::TestCuda::test_torch_manual_seed_seeds_cuda_devices, test/test_cuda_expandable_segments.py::TestCuda::test_type_conversions, test/test_cuda_expandable_segments.py::TestCuda::test_uuid, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_allocator_backend, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_allocator_fuzz, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_allocator_memory_fraction_setting, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_allocator_settings, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_cachingAllocator_raw_alloc, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_clock_speed, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_cpp_memory_snapshot_pickle, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_cycles, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_device_memory_used, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_direct_traceback, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_garbage_collect_expandable, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_max_split_expandable, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_compile_regions, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots_free_segment_stack, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots_free_stack, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots_history_context, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots_metadata, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_profiler_viz, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_script, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_notifies_oom, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_nvml_get_handler, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_power_draw, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_False, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_True, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_raw_amdsmi_device_count, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_raw_amdsmi_device_uuids, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_temperature, test/test_cuda_expandable_segments.py::TestCudaMallocAsync::test_uuid_visible_devices 2025-12-04T13:56:55.9073998Z 2025-12-04T13:56:55.9074674Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_additional_free_following_checkpoint <- test/test_cuda.py PASSED [0.1839s] [ 0%] 2025-12-04T13:56:55.9076049Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_allocate_in_thread_to_pool <- test/test_cuda.py PASSED [0.3506s] [ 1%] 2025-12-04T13:56:55.9077366Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_allocated_in_middle_of_segment <- test/test_cuda.py PASSED [0.1717s] [ 1%] 2025-12-04T13:56:55.9078725Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_assigning_back_deleter_fns_to_tensor <- test/test_cuda.py PASSED [0.2109s] [ 2%] 2025-12-04T13:56:55.9080164Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_check_pool_live_allocations <- test/test_cuda.py PASSED [0.1732s] [ 2%] 2025-12-04T13:56:55.9081498Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_middle_allocations_contiguous <- test/test_cuda.py PASSED [0.1726s] [ 3%] 2025-12-04T13:56:55.9082853Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_multiple_middle_allocations <- test/test_cuda.py PASSED [0.1724s] [ 4%] 2025-12-04T13:56:55.9084113Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_no_triton_on_import <- test/test_cuda.py PASSED [5.3215s] [ 4%] 2025-12-04T13:56:55.9085278Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_resnet <- test/test_cuda.py PASSED [3.0438s] [ 5%] 2025-12-04T13:56:55.9086384Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_simple <- test/test_cuda.py PASSED [0.1449s] [ 5%] 2025-12-04T13:56:55.9087604Z test_cuda_expandable_segments.py::TestBlockStateAbsorption::test_tensor_dies_after_checkpoint <- test/test_cuda.py PASSED [0.1368s] [ 6%] 2025-12-04T13:56:55.9089095Z test_cuda_expandable_segments.py::TestCuda::test_arithmetic_large_tensor <- test/test_cuda.py SKIPPED [0.0004s] (was disabled due to not enough memory, but actually it always fail) [ 6%] 2025-12-04T13:56:55.9090468Z test_cuda_expandable_segments.py::TestCuda::test_batch_norm_gather_stats <- test/test_cuda.py PASSED [0.1353s] [ 7%] 2025-12-04T13:56:55.9091534Z test_cuda_expandable_segments.py::TestCuda::test_bincount_ext <- test/test_cuda.py PASSED [0.0101s] [ 8%] 2025-12-04T13:56:55.9092618Z test_cuda_expandable_segments.py::TestCuda::test_caching_allocator_record_stream_oom <- test/test_cuda.py PASSED [0.5444s] [ 8%] 2025-12-04T13:56:55.9093784Z test_cuda_expandable_segments.py::TestCuda::test_caching_pinned_memory <- test/test_cuda.py PASSED [1.0017s] [ 9%] 2025-12-04T13:56:55.9094786Z test_cuda_expandable_segments.py::TestCuda::test_check_error <- test/test_cuda.py PASSED [0.0022s] [ 9%] 2025-12-04T13:56:55.9095760Z test_cuda_expandable_segments.py::TestCuda::test_copy_non_blocking <- test/test_cuda.py PASSED [0.0632s] [ 10%] 2025-12-04T13:56:55.9096840Z test_cuda_expandable_segments.py::TestCuda::test_copy_non_blocking_type_conversion <- test/test_cuda.py PASSED [0.1024s] [ 10%] 2025-12-04T13:56:55.9098188Z test_cuda_expandable_segments.py::TestCuda::test_cublas_allow_bf16_reduced_precision_reduction_get_set <- test/test_cuda.py PASSED [0.0026s] [ 11%] 2025-12-04T13:56:55.9099465Z test_cuda_expandable_segments.py::TestCuda::test_cublas_allow_fp16_accumulation_get_set <- test/test_cuda.py PASSED [0.0017s] [ 12%] 2025-12-04T13:56:55.9100746Z test_cuda_expandable_segments.py::TestCuda::test_cublas_allow_fp16_reduced_precision_reduction_get_set <- test/test_cuda.py PASSED [0.0018s] [ 12%] 2025-12-04T13:56:55.9101954Z test_cuda_expandable_segments.py::TestCuda::test_cublas_allow_tf32_get_set <- test/test_cuda.py PASSED [0.0016s] [ 13%] 2025-12-04T13:56:55.9103063Z test_cuda_expandable_segments.py::TestCuda::test_cublas_multiple_threads_same_device <- test/test_cuda.py PASSED [0.2528s] [ 13%] 2025-12-04T13:56:55.9104276Z test_cuda_expandable_segments.py::TestCuda::test_cublas_workspace_explicit_allocation <- test/test_cuda.py PASSED [0.0060s] [ 14%] 2025-12-04T13:56:55.9105559Z test_cuda_expandable_segments.py::TestCuda::test_cuda_get_device_capability <- test/test_cuda.py PASSED [0.0018s] [ 14%] 2025-12-04T13:56:55.9106624Z test_cuda_expandable_segments.py::TestCuda::test_cuda_get_device_name <- test/test_cuda.py PASSED [0.0020s] [ 15%] 2025-12-04T13:56:55.9107681Z test_cuda_expandable_segments.py::TestCuda::test_cuda_get_device_properties <- test/test_cuda.py PASSED [0.0018s] [ 16%] 2025-12-04T13:56:55.9108846Z test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_allocator_propagates_stream <- test/test_cuda.py PASSED [0.0080s] [ 16%] 2025-12-04T13:56:55.9110033Z test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_error_options <- test/test_cuda.py PASSED [0.0273s] [ 17%] 2025-12-04T13:56:55.9111080Z test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph <- test/test_cuda.py PASSED [0.0546s] [ 17%] 2025-12-04T13:56:55.9112210Z test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_False <- test/test_cuda.py PASSED [0.0054s] [ 18%] 2025-12-04T13:56:55.9113434Z test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph_exec_keep_graph_True <- test/test_cuda.py PASSED [0.0056s] [ 18%] 2025-12-04T13:56:55.9114621Z test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph_keep_graph_false <- test/test_cuda.py PASSED [0.0058s] [ 19%] 2025-12-04T13:56:55.9115823Z test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_raw_graph_reset_and_recapture <- test/test_cuda.py PASSED [0.0048s] [ 20%] 2025-12-04T13:56:55.9117065Z test_cuda_expandable_segments.py::TestCuda::test_cuda_graph_tensor_item_not_allowed <- test/test_cuda.py Traceback (most recent call last): 2025-12-04T13:56:55.9117900Z File "", line 17, in 2025-12-04T13:56:55.9118261Z File "", line 7, in my_func 2025-12-04T13:56:55.9118842Z torch.AcceleratorError: CUDA error: operation not permitted when stream is capturing 2025-12-04T13:56:55.9120001Z Search for `cudaErrorStreamCaptureUnsupported' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T13:56:55.9121278Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T13:56:55.9122079Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T13:56:55.9122638Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T13:56:55.9123011Z 2025-12-04T13:56:55.9123017Z 2025-12-04T13:56:55.9123271Z During handling of the above exception, another exception occurred: 2025-12-04T13:56:55.9123695Z 2025-12-04T13:56:55.9123826Z Traceback (most recent call last): 2025-12-04T13:56:55.9124186Z File "", line 16, in 2025-12-04T13:56:55.9124853Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/graphs.py", line 267, in __exit__ 2025-12-04T13:56:55.9125533Z self.cuda_graph.capture_end() 2025-12-04T13:56:55.9126186Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/graphs.py", line 129, in capture_end 2025-12-04T13:56:55.9126921Z super().capture_end() 2025-12-04T13:56:55.9127532Z torch.AcceleratorError: CUDA error: operation failed due to a previous error during capture 2025-12-04T13:56:55.9128688Z Search for `cudaErrorStreamCaptureInvalidated' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T13:56:55.9129957Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T13:56:55.9130767Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T13:56:55.9131403Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T13:56:55.9131768Z 2025-12-04T13:56:55.9131873Z PASSED [4.9329s] [ 20%] 2025-12-04T13:56:55.9132529Z test_cuda_expandable_segments.py::TestCuda::test_cuda_kernel_loop_overflow <- test/test_cuda.py PASSED [0.1443s] [ 21%] 2025-12-04T13:56:55.9133644Z test_cuda_expandable_segments.py::TestCuda::test_cuda_kernel_loop_overflow_large <- test/test_cuda.py PASSED [0.2354s] [ 21%] 2025-12-04T13:56:55.9134853Z test_cuda_expandable_segments.py::TestCuda::test_cuda_memory_leak_detection_propagates_errors <- test/test_cuda.py PASSED [0.0038s] [ 22%] 2025-12-04T13:56:55.9135990Z test_cuda_expandable_segments.py::TestCuda::test_cuda_stream_protocol <- test/test_cuda.py PASSED [0.0019s] [ 22%] 2025-12-04T13:56:55.9136997Z test_cuda_expandable_segments.py::TestCuda::test_cudart_register <- test/test_cuda.py PASSED [0.0025s] [ 23%] 2025-12-04T13:56:55.9138018Z test_cuda_expandable_segments.py::TestCuda::test_cudnn_allow_tf32_get_set <- test/test_cuda.py PASSED [0.0016s] [ 24%] 2025-12-04T13:56:55.9139168Z test_cuda_expandable_segments.py::TestCuda::test_cudnn_multiple_threads_same_device <- test/test_cuda.py PASSED [1.8497s] [ 24%] 2025-12-04T13:56:55.9140343Z test_cuda_expandable_segments.py::TestCuda::test_cusparse_multiple_threads_same_device <- test/test_cuda.py PASSED [138.0510s] [ 25%] 2025-12-04T13:56:55.9141479Z test_cuda_expandable_segments.py::TestCuda::test_device_context_manager <- test/test_cuda.py PASSED [0.0021s] [ 25%] 2025-12-04T13:56:55.9142704Z test_cuda_expandable_segments.py::TestCuda::test_device_count_not_cached_pre_init <- test/test_cuda.py SKIPPED [0.0003s] (requires multiple devices) [ 26%] 2025-12-04T13:56:55.9143847Z test_cuda_expandable_segments.py::TestCuda::test_events <- test/test_cuda.py PASSED [0.0527s] [ 26%] 2025-12-04T13:56:55.9144792Z test_cuda_expandable_segments.py::TestCuda::test_events_elapsedtime <- test/test_cuda.py PASSED [0.0023s] [ 27%] 2025-12-04T13:56:55.9146555Z test_cuda_expandable_segments.py::TestCuda::test_fixed_cuda_assert_async <- test/test_cuda.py /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/TensorCompare.cu:109: _assert_async_cuda_kernel: block: [0,0,0], thread: [0,0,0] Assertion `` failed. 2025-12-04T13:56:55.9147989Z Traceback (most recent call last): 2025-12-04T13:56:55.9148349Z File "", line 4, in 2025-12-04T13:56:55.9149037Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1108, in synchronize 2025-12-04T13:56:55.9149759Z return torch._C._cuda_synchronize() 2025-12-04T13:56:55.9150259Z torch.AcceleratorError: CUDA error: device-side assert triggered 2025-12-04T13:56:55.9151188Z Search for `cudaErrorAssert' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T13:56:55.9152329Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T13:56:55.9153175Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T13:56:55.9153727Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T13:56:55.9154095Z 2025-12-04T13:56:55.9154843Z /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/TensorCompare.cu:109: _assert_async_cuda_kernel: block: [0,0,0], thread: [0,0,0] Assertion `` failed. 2025-12-04T13:56:55.9155879Z Traceback (most recent call last): 2025-12-04T13:56:55.9156240Z File "", line 4, in 2025-12-04T13:56:55.9156975Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1108, in synchronize 2025-12-04T13:56:55.9157683Z return torch._C._cuda_synchronize() 2025-12-04T13:56:55.9158183Z torch.AcceleratorError: CUDA error: device-side assert triggered 2025-12-04T13:56:55.9159101Z Search for `cudaErrorAssert' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T13:56:55.9160255Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T13:56:55.9161047Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T13:56:55.9161598Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T13:56:55.9161965Z 2025-12-04T13:56:55.9162717Z /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/TensorCompare.cu:109: _assert_async_cuda_kernel: block: [0,0,0], thread: [0,0,0] Assertion `` failed. 2025-12-04T13:56:55.9163709Z Traceback (most recent call last): 2025-12-04T13:56:55.9164071Z File "", line 4, in 2025-12-04T13:56:55.9164769Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1108, in synchronize 2025-12-04T13:56:55.9165487Z return torch._C._cuda_synchronize() 2025-12-04T13:56:55.9165966Z torch.AcceleratorError: CUDA error: device-side assert triggered 2025-12-04T13:56:55.9166881Z Search for `cudaErrorAssert' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T13:56:55.9168076Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T13:56:55.9168882Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T13:56:55.9169419Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T13:56:55.9169799Z 2025-12-04T13:56:55.9170536Z /var/lib/jenkins/workspace/aten/src/ATen/native/cuda/TensorCompare.cu:113: _assert_async_cuda_kernel: block: [0,0,0], thread: [0,0,0] Assertion `` failed. 2025-12-04T13:56:55.9171643Z Traceback (most recent call last): 2025-12-04T13:56:55.9171984Z File "", line 4, in 2025-12-04T13:56:55.9172676Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py", line 1108, in synchronize 2025-12-04T13:56:55.9173394Z return torch._C._cuda_synchronize() 2025-12-04T13:56:55.9173894Z torch.AcceleratorError: CUDA error: device-side assert triggered 2025-12-04T13:56:55.9174798Z Search for `cudaErrorAssert' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information. 2025-12-04T13:56:55.9175953Z CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 2025-12-04T13:56:55.9176758Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1 2025-12-04T13:56:55.9177437Z Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. 2025-12-04T13:56:55.9177904Z 2025-12-04T13:56:55.9178019Z PASSED [19.8943s] [ 28%] 2025-12-04T13:56:55.9178831Z test_cuda_expandable_segments.py::TestCuda::test_float32_matmul_precision_get_set <- test/test_cuda.py PASSED [0.0022s] [ 28%] 2025-12-04T13:56:55.9180041Z test_cuda_expandable_segments.py::TestCuda::test_fp32_precision_with_float32_matmul_precision <- test/test_cuda.py PASSED [0.0019s] [ 29%] 2025-12-04T13:56:55.9181286Z test_cuda_expandable_segments.py::TestCuda::test_fp32_precision_with_tf32 <- test/test_cuda.py PASSED [0.0019s] [ 29%] 2025-12-04T13:56:55.9182307Z test_cuda_expandable_segments.py::TestCuda::test_gather_bool <- test/test_cuda.py PASSED [0.0051s] [ 30%] 2025-12-04T13:56:55.9183265Z test_cuda_expandable_segments.py::TestCuda::test_gds_fails_in_ci <- test/test_cuda.py PASSED [0.3683s] [ 30%] 2025-12-04T13:56:55.9184265Z test_cuda_expandable_segments.py::TestCuda::test_generic_stream_event <- test/test_cuda.py PASSED [0.0052s] [ 31%] 2025-12-04T13:56:55.9185361Z test_cuda_expandable_segments.py::TestCuda::test_get_device_index <- test/test_cuda.py PASSED [0.0019s] [ 32%] 2025-12-04T13:56:55.9186429Z test_cuda_expandable_segments.py::TestCuda::test_get_per_process_memory_fraction <- test/test_cuda.py PASSED [0.0019s] [ 32%] 2025-12-04T13:56:55.9187499Z test_cuda_expandable_segments.py::TestCuda::test_graph_capture_oom <- test/test_cuda.py PASSED [0.5085s] [ 33%] 2025-12-04T13:56:55.9188569Z test_cuda_expandable_segments.py::TestCuda::test_graph_capture_reset_recapture <- test/test_cuda.py PASSED [0.0120s] [ 33%] 2025-12-04T13:56:55.9189650Z test_cuda_expandable_segments.py::TestCuda::test_graph_capture_simple <- test/test_cuda.py PASSED [0.0151s] [ 34%] 2025-12-04T13:56:55.9190763Z test_cuda_expandable_segments.py::TestCuda::test_graph_checkpoint_preserve_rng_state <- test/test_cuda.py PASSED [0.0156s] [ 34%] 2025-12-04T13:56:55.9191898Z test_cuda_expandable_segments.py::TestCuda::test_graph_concurrent_replay <- test/test_cuda.py PASSED [0.0577s] [ 35%] 2025-12-04T13:56:55.9192949Z test_cuda_expandable_segments.py::TestCuda::test_graph_cudnn_dropout <- test/test_cuda.py PASSED [0.5628s] [ 36%] 2025-12-04T13:56:55.9193948Z test_cuda_expandable_segments.py::TestCuda::test_graph_debugdump <- test/test_cuda.py PASSED [0.2000s] [ 36%] 2025-12-04T13:56:55.9194925Z test_cuda_expandable_segments.py::TestCuda::test_graph_error <- test/test_cuda.py PASSED [4.9075s] [ 37%] 2025-12-04T13:56:55.9195994Z test_cuda_expandable_segments.py::TestCuda::test_graph_is_current_stream_capturing <- test/test_cuda.py PASSED [0.1664s] [ 37%] 2025-12-04T13:56:55.9197521Z test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_disabled_allow_unused_input <- test/test_cuda.py PASSED [0.3326s] [ 38%] 2025-12-04T13:56:55.9199323Z test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_with_amp_cache_enabled_allow_unused_input <- test/test_cuda.py XFAIL [0.1798s] [ 38%] 2025-12-04T13:56:55.9201058Z test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_allow_unused_input <- test/test_cuda.py PASSED [0.3221s] [ 39%] 2025-12-04T13:56:55.9202777Z test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_parameterless_nograd_module_without_amp_not_allow_unused_input <- test/test_cuda.py PASSED [0.3559s] [ 40%] 2025-12-04T13:56:55.9204675Z test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_same_pool <- test/test_cuda.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 40%] 2025-12-04T13:56:55.9206308Z test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_with_amp_cache_enabled_allow_unused_input <- test/test_cuda.py XFAIL [0.4381s] [ 41%] 2025-12-04T13:56:55.9207755Z test_cuda_expandable_segments.py::TestCuda::test_graph_make_graphed_callables_without_amp_not_allow_unused_input <- test/test_cuda.py XFAIL [0.4382s] [ 41%] 2025-12-04T13:56:55.9209055Z test_cuda_expandable_segments.py::TestCuda::test_graph_manual_seed_mismatch_raises <- test/test_cuda.py PASSED [0.1738s] [ 42%] 2025-12-04T13:56:55.9210304Z test_cuda_expandable_segments.py::TestCuda::test_graph_memory_stats_and_use_result_after_destroy_graph <- test/test_cuda.py PASSED [1.8040s] [ 42%] 2025-12-04T13:56:55.9211736Z test_cuda_expandable_segments.py::TestCuda::test_graph_optims_with_explicitly_capturable_param_groups <- test/test_cuda.py PASSED [0.2892s] [ 43%] 2025-12-04T13:56:55.9213011Z test_cuda_expandable_segments.py::TestCuda::test_graph_record_stream <- test/test_cuda.py PASSED [0.2483s] [ 44%] 2025-12-04T13:56:55.9214050Z test_cuda_expandable_segments.py::TestCuda::test_graph_rng_distributions <- test/test_cuda.py PASSED [0.2438s] [ 44%] 2025-12-04T13:56:55.9215102Z test_cuda_expandable_segments.py::TestCuda::test_graph_rng_functional <- test/test_cuda.py PASSED [0.1760s] [ 45%] 2025-12-04T13:56:55.9216197Z test_cuda_expandable_segments.py::TestCuda::test_graph_three_successive <- test/test_cuda.py PASSED [0.1729s] [ 45%] 2025-12-04T13:56:55.9217250Z test_cuda_expandable_segments.py::TestCuda::test_graph_timing <- test/test_cuda.py PASSED [0.1535s] [ 46%] 2025-12-04T13:56:55.9218233Z test_cuda_expandable_segments.py::TestCuda::test_graph_two_successive <- test/test_cuda.py PASSED [0.1789s] [ 46%] 2025-12-04T13:56:55.9219285Z test_cuda_expandable_segments.py::TestCuda::test_graph_warn_if_has_zero_nodes <- test/test_cuda.py PASSED [0.1596s] [ 47%] 2025-12-04T13:56:55.9220373Z test_cuda_expandable_segments.py::TestCuda::test_graphsafe_set_get_rng_state <- test/test_cuda.py PASSED [0.1588s] [ 48%] 2025-12-04T13:56:55.9221563Z test_cuda_expandable_segments.py::TestCuda::test_hip_device_count <- test/test_cuda.py SKIPPED [0.0003s] (not relevant for CUDA testing) [ 48%] 2025-12-04T13:56:55.9224095Z test_cuda_expandable_segments.py::TestCuda::test_host_memory_stats <- test/test_cuda.py SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/148607 for platform(s) linux, rocm, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 49%] 2025-12-04T13:56:55.9226716Z test_cuda_expandable_segments.py::TestCuda::test_huge_index <- test/test_cuda.py SKIPPED [0.1459s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 49%] 2025-12-04T13:56:55.9228286Z test_cuda_expandable_segments.py::TestCuda::test_index_out_of_bounds_exception_cuda <- test/test_cuda.py SKIPPED [0.1373s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 50%] 2025-12-04T13:56:55.9231080Z test_cuda_expandable_segments.py::TestCuda::test_invalid_status_for_legacy_api <- test/test_cuda.py SKIPPED [0.0007s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157110 for platform(s) linux, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 50%] 2025-12-04T13:56:55.9233502Z test_cuda_expandable_segments.py::TestCuda::test_is_pinned_no_context <- test/test_cuda.py PASSED [5.1096s] [ 51%] 2025-12-04T13:56:55.9234481Z test_cuda_expandable_segments.py::TestCuda::test_lazy_init <- test/test_cuda.py PASSED [3.6879s] [ 52%] 2025-12-04T13:56:55.9235406Z test_cuda_expandable_segments.py::TestCuda::test_manual_seed <- test/test_cuda.py PASSED [0.1570s] [ 52%] 2025-12-04T13:56:55.9236409Z test_cuda_expandable_segments.py::TestCuda::test_matmul_device_mismatch <- test/test_cuda.py PASSED [0.1432s] [ 53%] 2025-12-04T13:56:55.9237445Z test_cuda_expandable_segments.py::TestCuda::test_matmul_memory_use <- test/test_cuda.py PASSED [0.1414s] [ 53%] 2025-12-04T13:56:55.9238696Z test_cuda_expandable_segments.py::TestCuda::test_max_large_axis <- test/test_cuda.py SKIPPED [0.1353s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 54%] 2025-12-04T13:56:55.9239892Z test_cuda_expandable_segments.py::TestCuda::test_mean_fp16 <- test/test_cuda.py PASSED [0.1356s] [ 54%] 2025-12-04T13:56:55.9240862Z test_cuda_expandable_segments.py::TestCuda::test_memory_allocation <- test/test_cuda.py PASSED [0.2807s] [ 55%] 2025-12-04T13:56:55.9241850Z test_cuda_expandable_segments.py::TestCuda::test_memory_stats <- test/test_cuda.py PASSED [0.4065s] [ 56%] 2025-12-04T13:56:55.9243008Z test_cuda_expandable_segments.py::TestCuda::test_memory_stats_of_multiple_generators_and_graphs <- test/test_cuda.py PASSED [0.6001s] [ 56%] 2025-12-04T13:56:55.9244118Z test_cuda_expandable_segments.py::TestCuda::test_min_max_inits <- test/test_cuda.py PASSED [0.1554s] [ 57%] 2025-12-04T13:56:55.9245268Z test_cuda_expandable_segments.py::TestCuda::test_multi_device_context_manager <- test/test_cuda.py SKIPPED [0.0003s] (only one GPU detected) [ 57%] 2025-12-04T13:56:55.9246641Z test_cuda_expandable_segments.py::TestCuda::test_multi_device_stream_context_manager <- test/test_cuda.py SKIPPED [0.0002s] (only one GPU detected) [ 58%] 2025-12-04T13:56:55.9247915Z test_cuda_expandable_segments.py::TestCuda::test_multinomial_ext <- test/test_cuda.py PASSED [0.1541s] [ 58%] 2025-12-04T13:56:55.9249232Z test_cuda_expandable_segments.py::TestCuda::test_multinomial_invalid_probs_cuda <- test/test_cuda.py SKIPPED [0.1402s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 59%] 2025-12-04T13:56:55.9250619Z test_cuda_expandable_segments.py::TestCuda::test_noncontiguous_pinned_memory <- test/test_cuda.py PASSED [0.1411s] [ 60%] 2025-12-04T13:56:55.9251798Z test_cuda_expandable_segments.py::TestCuda::test_norm_type_conversion <- test/test_cuda.py PASSED [0.1402s] [ 60%] 2025-12-04T13:56:55.9252769Z test_cuda_expandable_segments.py::TestCuda::test_nvtx <- test/test_cuda.py PASSED [0.1408s] [ 61%] 2025-12-04T13:56:55.9253675Z test_cuda_expandable_segments.py::TestCuda::test_out_of_memory <- test/test_cuda.py PASSED [0.6500s] [ 61%] 2025-12-04T13:56:55.9254660Z test_cuda_expandable_segments.py::TestCuda::test_out_of_memory_retry <- test/test_cuda.py PASSED [0.7948s] [ 62%] 2025-12-04T13:56:55.9255715Z test_cuda_expandable_segments.py::TestCuda::test_pinned_memory_empty_cache <- test/test_cuda.py PASSED [0.1630s] [ 62%] 2025-12-04T13:56:55.9256854Z test_cuda_expandable_segments.py::TestCuda::test_pinned_memory_use_background_threads <- test/test_cuda.py PASSED [4.8755s] [ 63%] 2025-12-04T13:56:55.9258010Z test_cuda_expandable_segments.py::TestCuda::test_pinned_memory_with_cudaregister <- test/test_cuda.py PASSED [0.1845s] [ 64%] 2025-12-04T13:56:55.9259222Z test_cuda_expandable_segments.py::TestCuda::test_pinned_memory_with_cudaregister_multithread <- test/test_cuda.py PASSED [0.2079s] [ 64%] 2025-12-04T13:56:55.9260467Z test_cuda_expandable_segments.py::TestCuda::test_preferred_blas_library_settings <- test/test_cuda.py PASSED [3.5081s] [ 65%] 2025-12-04T13:56:55.9261510Z test_cuda_expandable_segments.py::TestCuda::test_prod_large <- test/test_cuda.py PASSED [0.1688s] [ 65%] 2025-12-04T13:56:55.9262676Z test_cuda_expandable_segments.py::TestCuda::test_randint_generation_for_large_numel <- test/test_cuda.py SKIPPED [0.2962s] (Insufficient cuda memory) [ 66%] 2025-12-04T13:56:55.9263968Z test_cuda_expandable_segments.py::TestCuda::test_randint_randomness_for_large_range <- test/test_cuda.py PASSED [0.2347s] [ 66%] 2025-12-04T13:56:55.9265151Z test_cuda_expandable_segments.py::TestCuda::test_random_no_reused_random_states_float32 <- test/test_cuda.py PASSED [0.6478s] [ 67%] 2025-12-04T13:56:55.9266355Z test_cuda_expandable_segments.py::TestCuda::test_random_no_reused_random_states_float64 <- test/test_cuda.py PASSED [0.7250s] [ 68%] 2025-12-04T13:56:55.9267422Z test_cuda_expandable_segments.py::TestCuda::test_record_stream <- test/test_cuda.py PASSED [0.2922s] [ 68%] 2025-12-04T13:56:55.9268540Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py ('RERUN', {'yellow': True}) [0.2731s] [ 69%] 2025-12-04T13:56:55.9269732Z test_cuda_expandable_segments.py::TestCuda::test_record_stream_on_shifted_view <- test/test_cuda.py PASSED [0.1484s] [ 69%] 2025-12-04T13:56:55.9270859Z test_cuda_expandable_segments.py::TestCuda::test_reduction_gpu_memory_accessing <- test/test_cuda.py PASSED [0.1370s] [ 69%] 2025-12-04T13:56:55.9272049Z test_cuda_expandable_segments.py::TestCuda::test_repeat_graph_capture_cublas_workspace_memory <- test/test_cuda.py PASSED [0.4798s] [ 70%] 2025-12-04T13:56:55.9273332Z test_cuda_expandable_segments.py::TestCuda::test_rocm_backward_pass_guard <- test/test_cuda.py SKIPPED [0.0003s] (ROCm-only test) [ 70%] 2025-12-04T13:56:55.9274512Z test_cuda_expandable_segments.py::TestCuda::test_serialization_array_with_empty <- test/test_cuda.py PASSED [0.1495s] [ 71%] 2025-12-04T13:56:55.9275655Z test_cuda_expandable_segments.py::TestCuda::test_serialization_array_with_storage <- test/test_cuda.py PASSED [0.1418s] [ 72%] 2025-12-04T13:56:55.9276794Z test_cuda_expandable_segments.py::TestCuda::test_set_per_process_memory_fraction <- test/test_cuda.py PASSED [0.4199s] [ 72%] 2025-12-04T13:56:55.9277967Z test_cuda_expandable_segments.py::TestCuda::test_specify_improper_device_name <- test/test_cuda.py PASSED [0.1508s] [ 73%] 2025-12-04T13:56:55.9279050Z test_cuda_expandable_segments.py::TestCuda::test_stream_compatibility <- test/test_cuda.py PASSED [0.1335s] [ 73%] 2025-12-04T13:56:55.9280105Z test_cuda_expandable_segments.py::TestCuda::test_stream_context_manager <- test/test_cuda.py PASSED [0.1494s] [ 74%] 2025-12-04T13:56:55.9281134Z test_cuda_expandable_segments.py::TestCuda::test_stream_event_repr <- test/test_cuda.py PASSED [0.1560s] [ 74%] 2025-12-04T13:56:55.9282186Z test_cuda_expandable_segments.py::TestCuda::test_streaming_backwards_callback <- test/test_cuda.py PASSED [0.1650s] [ 75%] 2025-12-04T13:56:55.9283349Z test_cuda_expandable_segments.py::TestCuda::test_streaming_backwards_multiple_streams <- test/test_cuda.py PASSED [0.2064s] [ 76%] 2025-12-04T13:56:55.9284497Z test_cuda_expandable_segments.py::TestCuda::test_streaming_backwards_sync <- test/test_cuda.py PASSED [0.1612s] [ 76%] 2025-12-04T13:56:55.9285631Z test_cuda_expandable_segments.py::TestCuda::test_streaming_backwards_sync_graph_root <- test/test_cuda.py PASSED [0.4114s] [ 77%] 2025-12-04T13:56:55.9286667Z test_cuda_expandable_segments.py::TestCuda::test_streams <- test/test_cuda.py PASSED [0.1508s] [ 77%] 2025-12-04T13:56:55.9287575Z test_cuda_expandable_segments.py::TestCuda::test_sum_fp16 <- test/test_cuda.py PASSED [0.1709s] [ 78%] 2025-12-04T13:56:55.9288519Z test_cuda_expandable_segments.py::TestCuda::test_tiny_half_norm_ <- test/test_cuda.py PASSED [0.1497s] [ 78%] 2025-12-04T13:56:55.9289594Z test_cuda_expandable_segments.py::TestCuda::test_to_cpu_blocking_by_default <- test/test_cuda.py PASSED [0.2636s] [ 79%] 2025-12-04T13:56:55.9290619Z test_cuda_expandable_segments.py::TestCuda::test_to_non_blocking <- test/test_cuda.py PASSED [0.5976s] [ 80%] 2025-12-04T13:56:55.9291637Z test_cuda_expandable_segments.py::TestCuda::test_to_numpy <- test/test_cuda.py PASSED [0.1648s] [ 80%] 2025-12-04T13:56:55.9292684Z test_cuda_expandable_segments.py::TestCuda::test_torch_manual_seed_seeds_cuda_devices <- test/test_cuda.py PASSED [0.1527s] [ 81%] 2025-12-04T13:56:55.9293761Z test_cuda_expandable_segments.py::TestCuda::test_type_conversions <- test/test_cuda.py PASSED [0.1483s] [ 81%] 2025-12-04T13:56:55.9294703Z test_cuda_expandable_segments.py::TestCuda::test_uuid <- test/test_cuda.py PASSED [0.1458s] [ 82%] 2025-12-04T13:56:55.9295717Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_allocator_backend <- test/test_cuda.py PASSED [2.9661s] [ 82%] 2025-12-04T13:56:55.9296855Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_allocator_fuzz <- test/test_cuda.py PASSED [1.9894s] [ 83%] 2025-12-04T13:56:55.9298067Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_allocator_memory_fraction_setting <- test/test_cuda.py PASSED [15.5637s] [ 84%] 2025-12-04T13:56:55.9299312Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_allocator_settings <- test/test_cuda.py PASSED [0.0123s] [ 84%] 2025-12-04T13:56:55.9300525Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_cachingAllocator_raw_alloc <- test/test_cuda.py PASSED [0.0465s] [ 85%] 2025-12-04T13:56:55.9301858Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_clock_speed <- test/test_cuda.py SKIPPED [0.0003s] (pynvml/amdsmi is not available) [ 85%] 2025-12-04T13:56:55.9303171Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_cpp_memory_snapshot_pickle <- test/test_cuda.py PASSED [16.2192s] [ 86%] 2025-12-04T13:56:55.9304970Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_cycles <- test/test_cuda.py W1204 13:56:45.802000 145848 site-packages/torch/utils/viz/_cycles.py:59] CUDA Memory changed during GC, 512 bytes freed. 2025-12-04T13:56:55.9306115Z PASSED [0.4067s] [ 86%] 2025-12-04T13:56:55.9306969Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_device_memory_used <- test/test_cuda.py SKIPPED [0.0003s] (pynvml/amdsmi is not available) [ 87%] 2025-12-04T13:56:55.9308375Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_direct_traceback <- test/test_cuda.py PASSED [0.0023s] [ 88%] 2025-12-04T13:56:55.9309563Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_garbage_collect_expandable <- test/test_cuda.py PASSED [0.0050s] [ 88%] 2025-12-04T13:56:55.9310788Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_max_split_expandable <- test/test_cuda.py PASSED [0.0119s] [ 89%] 2025-12-04T13:56:55.9311980Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_compile_regions <- test/test_cuda.py PASSED [3.4904s] [ 89%] 2025-12-04T13:56:55.9313138Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots <- test/test_cuda.py PASSED [0.2466s] [ 90%] 2025-12-04T13:56:55.9314317Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots_free_segment_stack <- test/test_cuda.py PASSED [0.0083s] [ 90%] 2025-12-04T13:56:55.9315561Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots_free_stack <- test/test_cuda.py PASSED [0.0052s] [ 91%] 2025-12-04T13:56:55.9316801Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots_history_context <- test/test_cuda.py PASSED [0.0020s] [ 92%] 2025-12-04T13:56:55.9318025Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_plots_metadata <- test/test_cuda.py PASSED [0.0027s] [ 92%] 2025-12-04T13:56:55.9319190Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_profiler_viz <- test/test_cuda.py PASSED [0.0625s] [ 93%] 2025-12-04T13:56:55.9321731Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot <- test/test_cuda.py SKIPPED [0.0009s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/126953 for platform(s) linux, rocm, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 93%] 2025-12-04T13:56:55.9324334Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_script <- test/test_cuda.py PASSED [0.0041s] [ 94%] 2025-12-04T13:56:55.9326916Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_memory_snapshot_with_cpp <- test/test_cuda.py SKIPPED [0.0006s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/137249 for platform(s) linux, rocm, slow. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 94%] 2025-12-04T13:56:55.9329437Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_notifies_oom <- test/test_cuda.py PASSED [0.0485s] [ 95%] 2025-12-04T13:56:55.9330709Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_nvml_get_handler <- test/test_cuda.py SKIPPED [0.0003s] (pynvml/amdsmi is not available) [ 96%] 2025-12-04T13:56:55.9332202Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_power_draw <- test/test_cuda.py SKIPPED [0.0002s] (pynvml/amdsmi is not available) [ 96%] 2025-12-04T13:56:55.9333582Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_False <- test/test_cuda.py PASSED [0.0105s] [ 97%] 2025-12-04T13:56:55.9334938Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_raises_oom_max_split_size_mb_setting_True <- test/test_cuda.py PASSED [0.0151s] [ 97%] 2025-12-04T13:56:55.9336404Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_raw_amdsmi_device_count <- test/test_cuda.py SKIPPED [0.0003s] (pynvml/amdsmi is not available) [ 98%] 2025-12-04T13:56:55.9337898Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_raw_amdsmi_device_uuids <- test/test_cuda.py SKIPPED [0.0002s] (pynvml/amdsmi is not available) [ 98%] 2025-12-04T13:56:55.9339346Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_temperature <- test/test_cuda.py SKIPPED [0.0002s] (pynvml/amdsmi is not available) [ 99%] 2025-12-04T13:56:55.9340852Z test_cuda_expandable_segments.py::TestCudaMallocAsync::test_uuid_visible_devices <- test/test_cuda.py SKIPPED [0.0002s] (pynvml/amdsmi is not available) [100%] 2025-12-04T13:56:55.9341660Z 2025-12-04T13:56:55.9341820Z ==================================== RERUNS ==================================== 2025-12-04T13:56:55.9342368Z _________________ TestCuda.test_record_stream_on_shifted_view __________________ 2025-12-04T13:56:55.9342877Z Traceback (most recent call last): 2025-12-04T13:56:55.9343655Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T13:56:55.9344437Z method(*args, **kwargs) 2025-12-04T13:56:55.9345147Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3329, in wrapper 2025-12-04T13:56:55.9345920Z method(*args, **kwargs) 2025-12-04T13:56:55.9346641Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3328, in wrapper 2025-12-04T13:56:55.9347407Z with policy(): 2025-12-04T13:56:55.9348088Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2705, in __exit__ 2025-12-04T13:56:55.9348868Z raise RuntimeError(msg) 2025-12-04T13:56:55.9350180Z RuntimeError: CUDA driver API confirmed a leak in test_cuda.TestCuda.test_record_stream_on_shifted_view! Caching allocator allocated memory was 983040 and is now reported as 983552 on device 0. CUDA driver allocated memory was 1380909056 and is now 1383006208. 2025-12-04T13:56:55.9351453Z 2025-12-04T13:56:55.9351685Z To execute this test, run the following from the base repo dir: 2025-12-04T13:56:55.9352429Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 python test/test_cuda.py TestCuda.test_record_stream_on_shifted_view 2025-12-04T13:56:55.9352980Z 2025-12-04T13:56:55.9353250Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 2025-12-04T13:56:55.9354449Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-9631e9174212ebb4.xml - 2025-12-04T13:56:55.9355609Z ======= 148 passed, 24 skipped, 3 xfailed, 1 rerun in 261.55s (0:04:21) ======== 2025-12-04T13:56:55.9355986Z 2025-12-04T13:56:55.9356563Z FINISHED PRINTING LOG FILE of test_cuda_expandable_segments 1/1 (test/test-reports/test_cuda_expandable_segments_1.1_5a43a97c379ac2cb_.log) 2025-12-04T13:56:55.9357283Z 2025-12-04T13:56:55.9357649Z Finished test_cuda_expandable_segments 1/1 ... [2025-12-04 13:56:55.891728][15851.641269318], took 4.58min 2025-12-04T13:56:55.9359023Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_cuda_expandable_segments/test_cuda_expandable_segments-9631e9174212ebb4.xml 2025-12-04T13:56:56.0014109Z Running test_ops 3/11 ... [2025-12-04 13:56:56.001122][15851.750665035] 2025-12-04T13:56:56.0014606Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T13:56:56.0017975Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '--shard-id=3', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 13:56:56.001558] 2025-12-04T14:17:21.9103976Z 2025-12-04T14:17:21.9105031Z test_ops 3/11 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_3.11_918497660b2085b6_.log 2025-12-04T14:17:22.0345841Z Running 2964 items in this shard: test/test_ops.py::TestCommonCUDA::test_compare_cpu___rpow___cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_addr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_atleast_1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_block_diag_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_diagonal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_geometric_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_hardtanh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_normal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_randn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_vstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__unsafe_masked_index_put_accumulate_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__upsample_bilinear2d_aa_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_alias_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_arange_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_atleast_1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_cumprod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_dot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_empty_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_fliplr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_flipud_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_index_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_kron_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_diagonal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_eigvalsh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_inv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_matrix_rank_hermitian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_svd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linspace_tensor_overload_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_log_normal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_mH_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_mode_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_narrow_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_avg_pool1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_avg_pool3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_binary_cross_entropy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_max_unpool3d_grad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_rrelu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_softmin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_rand_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_randn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_zeta_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_split_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_view_as_real_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_bool_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_cos_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_cosh_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_hfft2_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_hfft_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_ifft2_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_item_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_log_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_new_empty_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_pow_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_slice_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_split_with_sizes_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_squeeze_multiple_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_unbind_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_dtypes___rsub___cuda, test/test_ops.py::TestCommonCUDA::test_dtypes___rxor___cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_bfloat16_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_short_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_diagonal_scatter_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_eq_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_fftn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_frac_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_index_add_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_isreal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_log10_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_logaddexp_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_logical_and_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_masked_fill_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_minimum_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_narrow_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_elu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_pixel_unshuffle_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_selu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_permute_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_erfcx_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_special_spherical_bessel_j0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_squeeze_multiple_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_t_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_tanh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_var_mean_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__segment_reduce_lengths_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_addcdiv_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_argwhere_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_atleast_1d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_chunk_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_column_stack_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_diag_embed_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_dist_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_exp2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_frac_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_ge_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_geometric_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_gradient_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_hypot_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_i0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_index_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_index_put_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_isfinite_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_isnan_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_le_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_cond_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_eigh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_matrix_power_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_vector_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linspace_tensor_overload_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_logcumsumexp_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_softmin_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_meshgrid_variadic_tensors_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_mode_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_native_layer_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_adaptive_max_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_avg_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_binary_cross_entropy_with_logits_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_conv3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_dropout_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_elu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_embedding_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_hardsigmoid_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_max_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_pad_circular_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_rms_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_selu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_softshrink_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_tanhshrink_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_norm_nuc_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_polygamma_polygamma_n_0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_pow_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_prod_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_real_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_reciprocal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_sgn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_bartlett_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_legendre_polynomial_p_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_shifted_chebyshev_polynomial_w_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_split_with_sizes_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_t_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_take_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_tensor_split_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_topk_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_triu_indices_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_where_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_xlogy_cuda, test/test_ops.py::TestCommonCUDA::test_errors_T_cuda, test/test_ops.py::TestCommonCUDA::test_errors_amax_cuda, test/test_ops.py::TestCommonCUDA::test_errors_bitwise_and_cuda, test/test_ops.py::TestCommonCUDA::test_errors_bitwise_xor_cuda, test/test_ops.py::TestCommonCUDA::test_errors_dot_cuda, test/test_ops.py::TestCommonCUDA::test_errors_eq_cuda, test/test_ops.py::TestCommonCUDA::test_errors_ldexp_cuda, test/test_ops.py::TestCommonCUDA::test_errors_le_cuda, test/test_ops.py::TestCommonCUDA::test_errors_linalg_lstsq_grad_oriented_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_adaptive_max_pool1d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_avg_pool2d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_group_norm_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_soft_margin_loss_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_sum_layout0_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_sum_layout3_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_hermite_polynomial_h_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_shifted_chebyshev_polynomial_t_cuda, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_clamp_max_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_column_stack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_cos_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_cummin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_cumprod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_deg2rad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_diff_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_empty_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_equal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_fft_fftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_isposinf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_le_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_maximum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_normalize_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_normal_number_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_ormqr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_qr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_k0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_ndtri_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_tanh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices___getitem___cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_addmm_decomposed_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_arange_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_atan2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_atleast_3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bernoulli_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bfloat16_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_byte_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cartesian_prod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_chalf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_chunk_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_clamp_min_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_clamp_min_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cos_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_div_floor_rounding_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_div_no_rounding_mode_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_empty_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_fft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_fftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_hfft_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ihfftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_irfftn_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_float_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_ge_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_geqrf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_gradient_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_half_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_hash_tensor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_put_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_put_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_int_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isclose_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isnan_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_kthvalue_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_lgamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_cholesky_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_cross_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_inv_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_svd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_svdvals_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linspace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_logical_xor_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_logsumexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_median_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_normalize_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_prod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_matrix_exp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_max_pool2d_with_indices_backward_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_median_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_meshgrid_variadic_tensors_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_mm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nanmedian_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_native_batch_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_new_full_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_adaptive_avg_pool1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_avg_pool1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_max_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_pad_constant_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_rrelu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_softsign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_tanhshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nonzero_static_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_ones_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_permute_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_polygamma_polygamma_n_0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_randint_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_randn_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_repeat_interleave_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_resolve_conj_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_roll_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_round_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_round_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_rsqrt_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_signal_windows_blackman_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_signal_windows_kaiser_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sinc_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_slice_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_modified_bessel_i0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_scaled_modified_bessel_k1_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_shifted_chebyshev_polynomial_w_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sqrt_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_svd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_take_along_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_triu_indices_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unflatten_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unsqueeze_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unsqueeze_cuda_float32, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_acos_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_as_strided_partial_views_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_atleast_3d_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_column_stack_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_combinations_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_cummin_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_diff_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_expand_copy_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_fft_fftshift_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_heaviside_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_logical_and_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_resolve_conj_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_chebyshev_polynomial_w_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_modified_bessel_k1_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_ndtr_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_tensor_split_cuda_bool, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_T_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rpow___cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rsub___cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples__upsample_bilinear2d_aa_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_add_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_all_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_aminmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_as_strided_partial_views_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_as_strided_partial_views_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_asinh_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atan2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atleast_2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atleast_3d_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_bernoulli_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_ceil_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cholesky_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_copysign_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cos_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diag_embed_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diagflat_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diff_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diff_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_digamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_dsplit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_empty_strided_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_exp_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_expand_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_fft2_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ifftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ihfft_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fill_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_flipud_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_floor_divide_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_frexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_hash_tensor_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_index_put_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_index_reduce_prod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_int_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_jiterator_4inputs_with_extra_args_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_jiterator_binary_return_by_ref_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_jiterator_binary_return_by_ref_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_jiterator_unary_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_cross_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_diagonal_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_lu_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_solve_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_svd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_linalg_svdvals_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_log1p_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_log_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_log_softmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_logical_not_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_logical_or_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_mT_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_masked_amax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_masked_argmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_masked_argmin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_masked_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_maximum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_movedim_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_mul_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_new_empty_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_new_empty_strided_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_new_empty_strided_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_new_zeros_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_dropout_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_hardsigmoid_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_hardswish_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_leaky_relu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_max_unpool3d_grad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_mse_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_multi_head_attention_forward_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_pad_replicate_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_prelu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_rrelu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_softsign_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_threshold_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_triplet_margin_loss_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_nonzero_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_norm_fro_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_norm_inf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_ones_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_permute_copy_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_permute_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_pinverse_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_polygamma_polygamma_n_0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_positive_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_qr_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_reshape_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_reshape_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_resize__cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_resize_as__cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_rot90_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_rot90_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_round_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_rsqrt_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_select_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sgn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_short_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sigmoid_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_signal_windows_exponential_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_signal_windows_gaussian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sinc_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_slice_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_bessel_j0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_hermite_polynomial_he_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_modified_bessel_i0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_ndtr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_u_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_v_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_special_xlog1py_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_split_with_sizes_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_split_with_sizes_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_t_copy_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_take_along_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_tan_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_tensordot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_to_sparse_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_trace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_trapezoid_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_trapezoid_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_trapz_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_triu_indices_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_unbind_copy_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_unbind_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_unflatten_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_unravel_index_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_var_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_view_copy_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_where_cuda_float32, test/test_ops.py::TestCommonCUDA::test_numpy_ref_allclose_cuda_complex128, test/test_ops.py::TestCommonCUDA::test_numpy_ref_broadcast_tensors_cuda_complex128, test/test_ops.py::TestCommonCUDA::test_numpy_ref_broadcast_to_cuda_int64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_clamp_cuda_float64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_diag_cuda_complex128, test/test_ops.py::TestCommonCUDA::test_numpy_ref_diagflat_cuda_float64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_equal_cuda_complex128, test/test_ops.py::TestCommonCUDA::test_numpy_ref_flatten_cuda_float64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_flatten_cuda_int64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_item_cuda_int64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_jiterator_4inputs_with_extra_args_cuda_complex128, test/test_ops.py::TestCommonCUDA::test_numpy_ref_linalg_vander_cuda_complex128, test/test_ops.py::TestCommonCUDA::test_numpy_ref_native_layer_norm_cuda_float64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_nn_functional_mse_loss_cuda_float64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_roll_cuda_complex128, test/test_ops.py::TestCommonCUDA::test_numpy_ref_signal_windows_exponential_cuda_float64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_squeeze_multiple_cuda_float64, test/test_ops.py::TestCommonCUDA::test_numpy_ref_tile_cuda_complex128, test/test_ops.py::TestCommonCUDA::test_numpy_ref_transpose_cuda_float64, 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test/test_ops.py::TestCommonCUDA::test_out__refs_nn_functional_l1_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_nn_functional_pairwise_distance_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_nn_functional_threshold_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_permute_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_sgn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_special_i1e_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_special_multigammaln_mvlgamma_p_5_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_true_divide_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_unbind_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_var_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__refs_view_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out__segment_reduce_offsets_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_addmm_decomposed_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_angle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_as_strided_partial_views_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_bitwise_not_cuda_int64, test/test_ops.py::TestCommonCUDA::test_out_bitwise_xor_cuda_int64, test/test_ops.py::TestCommonCUDA::test_out_bucketize_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_complex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_cumprod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_cumsum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_div_floor_rounding_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_eq_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_fft_fft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_fft_hfft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_fft_rfft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_integral_dtype__refs_prod_cuda_int16, test/test_ops.py::TestCommonCUDA::test_out_linalg_pinv_singular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_linalg_svd_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_linalg_tensorinv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_logaddexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_logit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_lu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_masked_amax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_matrix_exp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_mode_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nanmean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nansum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_channel_shuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_linear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_max_unpool2d_grad_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_relu6_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_nn_functional_upsample_bilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_quantile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_ravel_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_arange_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_bernoulli_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_cholesky_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_column_stack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_conj_physical_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_copysign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_digamma_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fft_hfft_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fft_ifftn_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_fmax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_index_reduce_amin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_kron_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_ldexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_lerp_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_cond_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_det_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_eig_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_inv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_lu_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_lu_factor_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_lu_solve_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_linalg_solve_triangular_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_log1p_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_log_softmax_with_dtype_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_lu_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_nan_to_num_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_nanquantile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_nansum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_normal_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_outer_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_qr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_sin_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_sinh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_special_i0e_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_special_i1e_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_tanh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_tensordot_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_out_requires_grad_error_tensordot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_resolve_neg_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_round_decimals_neg_3_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_scatter_reduce_sum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_select_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_signal_windows_bartlett_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_signal_windows_blackman_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_special_bessel_j1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_special_erfcx_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_special_hermite_polynomial_he_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_squeeze_multiple_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_unfold_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_unsafe_chunk_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_vstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_out_warning__refs__conversions_char_cuda, test/test_ops.py::TestCommonCUDA::test_out_warning__refs__conversions_polar_cuda, test/test_ops.py::TestCommonCUDA::test_out_warning__refs_arange_cuda, test/test_ops.py::TestCommonCUDA::test_out_warning__refs_as_strided_cuda, 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test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_to_sparse_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_triangular_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_uniform_cuda_float32, test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_unique_consecutive_cuda_float32, test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_var_unbiased_cuda_float32, test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_view_as_complex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_view_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_vstack_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_zeros_cuda_float32, test/test_ops.py::TestCommonCUDA::test_variant_consistency_eager_zeros_like_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_backward_H_cuda_float32, 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test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_heaviside_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_igammac_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_isfinite_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_linalg_cholesky_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_linalg_lstsq_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_linalg_vecdot_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_linspace_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_log10_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_log1p_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_logaddexp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_lt_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_masked_argmin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_masked_cumsum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_masked_normalize_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_matmul_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_max_pool2d_with_indices_backward_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nanmedian_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nanquantile_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_native_batch_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_new_zeros_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nn_functional_glu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nn_functional_local_response_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nn_functional_normalize_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nn_functional_prelu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nn_functional_softmin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_nonzero_static_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_outer_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_pinverse_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_scalar_tensor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_signal_windows_bartlett_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_signal_windows_blackman_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_special_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_special_modified_bessel_k1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_special_spherical_bessel_j0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_split_with_sizes_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_unique_consecutive_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_var_mean_unbiased_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_cow_input_zero__cuda_float32, 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test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_dsplit_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_exp2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_exp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_fft_irfft_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_flipud_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_float_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_float_power_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_floor_divide_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_igammac_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_index_reduce_amax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_inner_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_isclose_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_isnan_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_eigh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_solve_ex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_masked_amin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_masked_mean_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_masked_sum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_mean_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_movedim_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_mul_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nan_to_num_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_narrow_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_ne_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_cosine_embedding_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_hardtanh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_interpolate_nearest_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_layer_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_linear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_max_pool1d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_max_pool2d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_mse_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_poisson_nll_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_softsign_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_tanhshrink_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_threshold_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_norm_fro_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_norm_nuc_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_pinverse_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_put_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_quantile_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_randint_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_roll_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_scatter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_searchsorted_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_sgn_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_signal_windows_cosine_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_signal_windows_gaussian_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_special_laguerre_polynomial_l_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_special_modified_bessel_k0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_svd_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_tanh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_trapz_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_triangular_solve_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_tril_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_var_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_vsplit_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_T_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator___rpow___cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator__chunk_cat_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_chunk_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_complex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_constant_pad_nd_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_gt_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_heaviside_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_hsplit_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_igammac_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_cholesky_ex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_lu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_qr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_solve_ex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_vander_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_log10_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_log_softmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_cumsum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_softmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_max_pool2d_with_indices_backward_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_meshgrid_list_of_tensors_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_msort_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nanmedian_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_batch_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_interpolate_bicubic_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_interpolate_bilinear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_mse_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_pixel_shuffle_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_pixel_unshuffle_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_prelu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_selu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_norm_fro_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_norm_nuc_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_normal_in_place_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_ones_like_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_positive_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_remainder_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_scatter_reduce_amax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_searchsorted_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_cosine_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_general_cosine_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_bessel_y1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_i0e_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_i1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_i1e_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_to_sparse_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_unfold_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay___rmod___cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__batch_norm_with_update_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__unsafe_masked_index_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_acos_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_addr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_as_strided_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_as_strided_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_broadcast_tensors_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_bucketize_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_clamp_min_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_combinations_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cosh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cumsum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_dsplit_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_erfc_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_exp2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_expand_as_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_irfft2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_flatten_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_index_add_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_ldl_factor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_svd_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linspace_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_logcumsumexp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_mH_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_native_dropout_backward_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_batch_norm_without_cudnn_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_elu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_leaky_relu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_multi_head_attention_forward_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_rrelu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_selu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_silu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_positive_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_qr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_resolve_conj_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_rot90_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_searchsorted_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_cosine_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_general_hamming_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_hann_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_signal_windows_nuttall_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_hermite_polynomial_h_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_laguerre_polynomial_l_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_ndtri_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_split_with_sizes_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_tile_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_trace_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_unique_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_xlogy_cuda_float32, test/test_ops.py::TestMathBitsCUDA::test_conj_view_T_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view___rmatmul___cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view___rsub___cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs__conversions_chalf_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs__conversions_char_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_block_diag_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_cosh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_count_nonzero_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_cumsum_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_diagonal_scatter_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_fliplr_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_hsplit_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_isclose_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_linspace_tensor_overload_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_log2_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_logical_or_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_logsumexp_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_norm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_sinh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_transpose_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_unbind_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_abs_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_acosh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_addbmm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_addmm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_asinh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_atleast_2d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_block_diag_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_conj_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cos_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_diagflat_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_einsum_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fft_fftn_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_full_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_hstack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_isreal_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_kron_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_cond_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_ldl_factor_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_ldl_solve_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_svd_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_tensorsolve_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_log_softmax_with_dtype_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_lu_solve_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_lu_unpack_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_masked_mean_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_conv_transpose2d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_pixel_shuffle_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_silu_complex_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_triplet_margin_with_distance_loss_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_norm_fro_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_ones_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_prod_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_rand_like_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_resize__cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_slice_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_squeeze_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_svd_lowrank_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_unfold_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_uniform_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_var_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs__conversions_bfloat16_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_addcmul_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_alias_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_atan_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_cos_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_dstack_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_eye_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_flipud_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_index_fill_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_log10_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_mul_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_norm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_prod_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_rot90_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_sinc_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_std_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_tensor_split_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_transpose_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_view_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addbmm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addcmul_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addr_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_all_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_angle_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_argwhere_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_column_stack_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_diagonal_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_empty_like_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_fft2_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_fftn_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_ifftn_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_gradient_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_index_select_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_lu_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_norm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linspace_tensor_overload_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_masked_fill_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_mm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nansum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_narrow_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_ones_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_pca_lowrank_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_prod_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_randn_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_resolve_neg_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sin_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sparse_sampled_addmm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_square_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sum_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_svd_lowrank_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_view_H_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_T_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_cfloat_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_float_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_as_strided_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_atleast_1d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_clamp_max_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_cosh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_count_nonzero_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_cumprod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_cumsum_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_erf_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_float_power_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_hstack_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_le_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_lgamma_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_linalg_matrix_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_linalg_vecdot_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_logaddexp2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_meshgrid_variadic_tensors_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_narrow_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_neg_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_new_empty_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_alpha_dropout_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_margin_ranking_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_selu_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_repeat_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_sinc_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_softmax_with_dtype_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_split_with_sizes_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_stack_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_std_mean_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_to_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_trunc_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_unbind_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_unflatten_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_acosh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_addmv_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_allclose_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_aminmax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_any_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_as_strided_scatter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_atanh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cartesian_prod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_copysign_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cumulative_trapezoid_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_double_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_empty_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_expm1_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_fft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_irfftn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fill_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_flipud_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_floor_divide_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fmax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_grid_sampler_2d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_index_reduce_amin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_eigvalsh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_inv_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_lstsq_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_qr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_tensorinv_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_log1p_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logspace_tensor_overload_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_long_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_lu_solve_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_mH_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_mT_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_maximum_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_mv_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nanquantile_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_native_batch_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_gaussian_nll_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_instance_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_interpolate_bicubic_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_kl_div_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_layer_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_pad_replicate_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_rsub_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_scatter_reduce_prod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_signal_windows_exponential_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_signal_windows_kaiser_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_softmax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_airy_ai_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_bessel_y1_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_chebyshev_polynomial_v_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_log_ndtr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_svd_lowrank_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_t_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_tensordot_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_unfold_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_fake___ror___cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_addcdiv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_addmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_addr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_aminmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast__softmax_backward_data_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_allclose_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_atleast_2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_atleast_3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_bmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_broadcast_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_broadcast_to_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cfloat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_column_stack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_diagonal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_diff_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_dsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_erfinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_exp2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_eye_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_fft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_flipud_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_ge_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_gradient_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_index_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_index_reduce_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_isposinf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_cholesky_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_cond_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_lstsq_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_svdvals_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_lu_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_mT_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_argmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_cumsum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_matrix_exp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_msort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nanmean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_narrow_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_new_full_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nextafter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_interpolate_bicubic_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_interpolate_linear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_leaky_relu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_max_unpool3d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_mish_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pad_reflect_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_normal_number_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_rand_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_randn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_randn_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_reciprocal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_resize__cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_resolve_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_round_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_scatter_reduce_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_signal_windows_cosine_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_sinc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_bessel_j1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_erfcx_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_hermite_polynomial_he_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_trace_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_tril_indices_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_unbind_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_unique_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_var_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_view_as_real_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_where_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_bernoulli_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cartesian_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cholesky_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_combinations_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cosh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp___rdiv___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp___rsub___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cholesky_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_clamp_min_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cos_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_deg2rad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_diagonal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_irfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_flip_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fmod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_index_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_inner_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_inv_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_qr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_solve_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_log2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_max_binary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_max_pool2d_with_indices_backward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nansum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_conv_transpose1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_pad_circular_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_norm_fro_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_permute_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_pinverse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_sparse_mm_reduce_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_special_erfcx_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_squeeze_multiple_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_sum_to_size_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_svd_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_to_sparse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_topk_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_tril_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_trunc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_vstack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_zero__cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_T_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_addbmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_asinh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_broadcast_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_chunk_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_clamp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_dot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_erfc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_erfinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_ihfftn_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fliplr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_frexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_hsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_hstack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_index_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_cross_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_log10_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_mH_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_matmul_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_movedim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nanquantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_binary_cross_entropy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_celu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_cosine_similarity_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_cross_entropy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_interpolate_area_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_max_unpool1d_grad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_pdist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_pow_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_renorm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_tan_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_tensor_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_topk_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_triu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_unbind_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_var_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_var_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cummin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_diag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_diag_embed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_diagflat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_digamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_double_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_expand_as_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_fftshift_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_hfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_ihfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_hash_tensor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_hstack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_index_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_isclose_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_item_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_lstsq_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_lstsq_grad_oriented_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_matrix_power_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_qr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_mT_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_var_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_dropout3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_fractional_max_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_gaussian_nll_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_instance_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_interpolate_trilinear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_pad_reflect_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_upsample_nearest_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_normal_in_place_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ones_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_permute_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_real_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_repeat_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_rsub_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_scatter_reduce_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_signal_windows_hann_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_squeeze_multiple_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_std_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_tensordot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_transpose_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_triu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_unbind_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_unflatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_unfold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_uniform_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_view_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops___rdiv___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_atan_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_atleast_3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bitwise_or_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bucketize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cdouble_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_chalf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cummin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_diag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_digamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_dsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_expand_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_ifft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_heaviside_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_isinf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_matrix_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_logical_xor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_lu_unpack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mT_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_var_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_matrix_exp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_median_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mvlgamma_mvlgamma_p_1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nanmean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_conv_transpose2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_conv_transpose3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_dropout2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_gelu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_group_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_hardsigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_interpolate_linear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_logsigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_pad_replicate_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_pairwise_distance_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_silu_complex_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_softmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_outer_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_pca_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_permute_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_rad2deg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_randint_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_reciprocal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_roll_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_scatter_reduce_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_bartlett_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_general_cosine_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_sin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_sinc_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_bessel_y1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_log_ndtr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_ndtr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_stack_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_svd_lowrank_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_t_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_triu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_unflatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_unique_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_view_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_zeros_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_cuda_float16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_complex32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_arange_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_tensor_overload_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_int16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_zeros_cuda_float64, test/test_ops.py::TestTagsCUDA::test_tags__chunk_cat_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_T_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_bool_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_complex_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_int_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_allclose_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_as_strided_partial_views_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_bitwise_left_shift_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags__refs_block_diag_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_column_stack_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_cos_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_deg2rad_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_dstack_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_exponential_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_hypot_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_igamma_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_linalg_svdvals_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_log_normal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_new_full_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_new_zeros_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_pixel_unshuffle_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_normal_number_mean_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_ravel_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_remainder_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_select_scatter_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_sgn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_sigmoid_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_signbit_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_entr_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_i0e_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_i1e_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_t_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_tan_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_trunc_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__softmax_backward_data_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_addcdiv_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_angle_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_as_strided_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_bincount_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_bitwise_and_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_bitwise_left_shift_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_bucketize_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_diff_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_empty_like_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_eq_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_irfft2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fill_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_hash_tensor_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_heaviside_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_index_add_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_index_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_lu_factor_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_solve_ex_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_logical_xor_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_lt_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_argmax_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_argmin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_cumsum_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_fill_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_logsumexp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_prod_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_softmin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_matmul_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_mean_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_meshgrid_variadic_tensors_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_mode_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_movedim_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_neg_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_conv3d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_embedding_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_hinge_embedding_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_one_hot_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nonzero_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_ones_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_remainder_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_repeat_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_rot90_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_signbit_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_sin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_slice_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_bessel_j0_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_i1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tan_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tril_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_triu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_unsqueeze_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_zeros_cuda_float32 2025-12-04T14:17:22.1548283Z 2025-12-04T14:17:22.1548898Z Finished test_ops 3/11 ... [2025-12-04 14:17:21.914656][17077.664193555], took 20.43min 2025-12-04T14:17:22.1549954Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-0f540a8581588f52.xml 2025-12-04T14:17:22.8697683Z Uploading artifacts took 0.69 seconds 2025-12-04T14:17:22.8702368Z Running test_ops 8/11 ... [2025-12-04 14:17:22.870046][17078.619590434] 2025-12-04T14:17:22.8703124Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T14:17:22.8707899Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_ops.py', '--shard-id=8', '--num-shards=11', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 14:17:22.870552] 2025-12-04T14:38:31.0789849Z 2025-12-04T14:38:31.0790750Z test_ops 8/11 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_8.11_30d7e5ad6289261a_.log 2025-12-04T14:38:31.2063461Z Running 3045 items in this shard: test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs__conversions_double_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_chunk_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_column_stack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_cumprod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_cumsum_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_expand_as_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_index_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_logaddexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_logsumexp_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_movedim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_pixel_unshuffle_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_ones_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_select_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_special_xlog1py_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__refs_vdot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__softmax_backward_data_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu__unsafe_masked_index_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_addmm_decomposed_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_as_strided_partial_views_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_chunk_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_complex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_div_no_rounding_mode_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_geqrf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_grid_sampler_2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_kthvalue_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_lstsq_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_lu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_lu_factor_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_matrix_rank_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_pinv_singular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linalg_solve_triangular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_linspace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_logspace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_multinomial_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nanquantile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_new_empty_strided_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_cross_entropy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_dropout_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_embedding_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_interpolate_area_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_randint_like_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_repeat_interleave_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_slice_scatter_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_special_shifted_chebyshev_polynomial_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_split_with_sizes_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_stack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_t_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_t_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_tril_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_unique_cuda_float32, test/test_ops.py::TestCommonCUDA::test_compare_cpu_vstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_H_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_atleast_1d_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_atleast_2d_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_div_no_rounding_mode_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_fft_ifftn_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_linalg_diagonal_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_nansum_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_narrow_copy_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_nn_functional_conv1d_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_nonzero_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_randn_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_squeeze_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_complex_half_reference_testing_triu_cuda_complex32, test/test_ops.py::TestCommonCUDA::test_dtypes_H_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes___radd___cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs__conversions_complex_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_acosh_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_as_strided_partial_views_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_atan_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_atleast_1d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_atleast_3d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_bitwise_right_shift_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_copysign_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_cumsum_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_digamma_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_exponential_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fft_hfft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_flip_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_floor_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_fmod_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_index_select_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_isclose_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_linalg_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_linalg_svd_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_logical_xor_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_narrow_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_celu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_group_norm_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_pixel_shuffle_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_nn_functional_smooth_l1_loss_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_normal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_prod_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_reshape_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_sgn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_signbit_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_tril_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_true_divide_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes__refs_where_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_addr_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_alias_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_as_strided_scatter_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_bitwise_not_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_broadcast_shapes_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_chalf_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_cross_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_diagonal_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_div_floor_rounding_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_div_trunc_rounding_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_empty_permuted_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_eq_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_expand_as_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_expm1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_fft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_ifft2_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_ifftshift_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fft_ihfftn_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_fmax_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_full_like_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_gcd_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_gt_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_diagonal_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_ldl_solve_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_lstsq_grad_oriented_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_norm_subgradients_at_zero_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_linalg_solve_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_median_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_prod_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_masked_std_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nanmean_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_adaptive_max_pool2d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_conv2d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_conv_transpose2d_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_glu_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_silu_complex_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_nn_functional_unfold_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_norm_fro_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_outer_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_quantile_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_rad2deg_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_randint_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_repeat_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_reshape_as_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_select_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_signal_windows_gaussian_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_sparse_mm_reduce_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_bessel_y1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_chebyshev_polynomial_u_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_chebyshev_polynomial_v_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_entr_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_i0e_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_i1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_modified_bessel_k1_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_special_scaled_modified_bessel_k0_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_squeeze_multiple_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_svd_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_torch_ops_aten__flash_attention_forward_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unbind_copy_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_unravel_index_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_var_unbiased_cuda, test/test_ops.py::TestCommonCUDA::test_dtypes_zeros_cuda, test/test_ops.py::TestCommonCUDA::test_errors___rxor___cuda, test/test_ops.py::TestCommonCUDA::test_errors_diag_embed_cuda, test/test_ops.py::TestCommonCUDA::test_errors_div_trunc_rounding_cuda, test/test_ops.py::TestCommonCUDA::test_errors_flipud_cuda, test/test_ops.py::TestCommonCUDA::test_errors_histogramdd_cuda, test/test_ops.py::TestCommonCUDA::test_errors_hypot_cuda, test/test_ops.py::TestCommonCUDA::test_errors_index_select_cuda, test/test_ops.py::TestCommonCUDA::test_errors_lcm_cuda, test/test_ops.py::TestCommonCUDA::test_errors_linalg_cross_cuda, test/test_ops.py::TestCommonCUDA::test_errors_maximum_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_adaptive_avg_pool1d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_adaptive_avg_pool3d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_max_pool2d_cuda, test/test_ops.py::TestCommonCUDA::test_errors_nn_functional_poisson_nll_loss_cuda, test/test_ops.py::TestCommonCUDA::test_errors_scatter_add_cuda, test/test_ops.py::TestCommonCUDA::test_errors_signal_windows_bartlett_cuda, test/test_ops.py::TestCommonCUDA::test_errors_signal_windows_cosine_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_randn_like_layout0_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_zeros_like_layout2_cuda, test/test_ops.py::TestCommonCUDA::test_errors_sparse_zeros_like_layout3_cuda, test/test_ops.py::TestCommonCUDA::test_errors_special_zeta_cuda, test/test_ops.py::TestCommonCUDA::test_errors_unbind_cuda, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_abs_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_acosh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_any_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_conj_physical_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_copysign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_dstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_erfinv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_floor_divide_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_ge_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_hstack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_kthvalue_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_cholesky_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_lu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_lu_factor_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_lu_factor_ex_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_slogdet_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_tensorinv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_linalg_vector_norm_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_log10_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_logical_and_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_logspace_tensor_overload_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_5_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_linear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_nn_functional_softshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_permute_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_round_decimals_0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_scatter_reduce_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_bessel_y1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_special_legendre_polynomial_p_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_transpose_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_true_divide_cuda_float32, test/test_ops.py::TestCommonCUDA::test_meta_consistency_out_dtype_mismatch_view_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices___ror___cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices___rsub___cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices__softmax_backward_data_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_amax_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_asinh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_atan_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_atleast_1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_bitwise_and_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_clone_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cummax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_cummin_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_deg2rad_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_div_trunc_rounding_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_dsplit_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_exp2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_exp2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_exp_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_exponential_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_fftn_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ifft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ifft_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ifftn_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ihfft2_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_ihfft_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fft_irfftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_flipud_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fmod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_fmod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_gt_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_hash_tensor_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_index_reduce_amax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_inner_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_isfinite_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_kron_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_cross_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linalg_solve_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_linspace_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_logical_or_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_logsumexp_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_lu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_lu_unpack_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_fill_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_fill_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_select_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_masked_std_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_max_reduction_with_dim_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_min_reduction_no_dim_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_narrow_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_native_dropout_backward_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_ne_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_neg_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_new_ones_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_bilinear_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_conv3d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_cosine_similarity_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_elu_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_pad_circular_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nn_functional_softsign_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_nonzero_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_polar_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_positive_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_qr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_quantile_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_remainder_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_resolve_conj_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_rsub_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scatter_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scatter_reduce_amax_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_scatter_reduce_mean_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_select_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_signal_windows_nuttall_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sort_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_chebyshev_polynomial_t_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_chebyshev_polynomial_u_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_i1_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_log_ndtr_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_special_spherical_bessel_j0_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_sum_to_size_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_t_copy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_t_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_take_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_tensor_split_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_tensordot_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_trace_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_unbind_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_var_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_var_mean_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_vstack_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_xlogy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_multiple_devices_xlogy_cuda_int64, test/test_ops.py::TestCommonCUDA::test_multiple_devices_zero__cuda_int64, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_T_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values___rand___cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values___rdiv___cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values___rmul___cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values___rxor___cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values__unsafe_masked_index_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_alias_copy_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_amin_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_argwhere_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_as_strided_scatter_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_atan_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_bitwise_not_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_cartesian_prod_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_conj_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_contiguous_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_copysign_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_diagonal_scatter_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_index_fill_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_index_select_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_isinf_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_item_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_jiterator_4inputs_with_extra_args_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_kron_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_log_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_logical_or_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_max_reduction_with_dim_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_min_binary_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_nn_functional_cosine_embedding_loss_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_outer_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_polygamma_polygamma_n_1_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_prod_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_reciprocal_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_resolve_neg_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_rot90_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_scalar_tensor_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_select_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_slice_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_bessel_j1_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_bessel_y1_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_special_ndtri_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_split_with_sizes_copy_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_take_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_transpose_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_unbind_copy_cuda_bool, test/test_ops.py::TestCommonCUDA::test_non_standard_bool_values_unsqueeze_copy_cuda_bool, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___getitem___cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___getitem___cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rdiv___cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples___rpow___cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples__segment_reduce_offsets_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_acos_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_addmv_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_alias_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_allclose_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_any_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_argmin_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_argsort_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_as_strided_copy_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_as_strided_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atanh_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_atleast_1d_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_byte_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cartesian_prod_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_chalf_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_clamp_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_contiguous_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_contiguous_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_copysign_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_cosh_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diag_embed_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_diagonal_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_empty_permuted_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_equal_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_erf_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_fft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_hfft2_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_hfftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ifftn_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ifftn_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_ihfft2_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_irfft2_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fft_rfftn_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_fmod_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_gather_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_geometric_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_gradient_cuda_complex64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_gt_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_gt_cuda_int64, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_i0_cuda_float32, test/test_ops.py::TestCommonCUDA::test_noncontiguous_samples_imag_cuda_complex64, 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test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linalg_matrix_rank_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_linspace_tensor_overload_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_log_softmax_with_dtype_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_logsumexp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_lu_unpack_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_masked_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_neg_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nextafter_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_conv3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_gelu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_local_response_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_multilabel_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_normalize_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_nn_functional_softmin_with_dtype_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_pow_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_rad2deg_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_randn_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_reciprocal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_round_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_round_decimals_neg_3_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_special_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_svd_lowrank_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_trace_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_transpose_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_unfold_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_unfold_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_uniform_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_unique_consecutive_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_unsqueeze_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_vdot_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_forward_ad_view_as_complex_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator___getitem___cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_addr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_angle_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_atleast_1d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_bucketize_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_cartesian_prod_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_cholesky_inverse_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_copysign_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_corrcoef_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_cos_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_cross_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_cummax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_diagonal_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_diagonal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_dist_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_double_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_empty_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_erf_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_exp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_eye_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_fft_irfftn_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_floor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_fmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_full_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_ge_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_half_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_index_reduce_amin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_jiterator_2inputs_2outputs_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_kthvalue_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_lu_factor_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_solve_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linalg_svdvals_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_linspace_tensor_overload_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_argmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_masked_mean_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_maximum_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_native_batch_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_ne_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_adaptive_max_pool3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_alpha_dropout_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_celu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_dropout3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_fractional_max_pool2d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_glu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_max_unpool2d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_nll_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_pdist_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_softplus_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_nn_functional_threshold_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_permute_copy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_permute_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_rad2deg_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_randint_like_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_resize_as__cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_bartlett_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_signal_windows_blackman_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_slice_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sparse_sampled_addmm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_sqrt_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_std_mean_unbiased_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_take_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_trapezoid_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_triu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_unflatten_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_uniform_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_operator_where_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay___rmatmul___cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__chunk_cat_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__segment_reduce_offsets_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay__upsample_bilinear2d_aa_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_amin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_angle_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_asinh_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_atleast_3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_cholesky_solve_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_clamp_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_diagonal_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_expand_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_hfft_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_fft_rfft2_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_geqrf_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_index_put_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_lstsq_grad_oriented_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_lu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_pinv_singular_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_vecdot_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_linalg_vector_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_masked_amin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_mul_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_native_layer_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_ne_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_new_empty_strided_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_cross_entropy_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_gelu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_interpolate_area_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_interpolate_bilinear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_linear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_local_response_norm_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_scaled_dot_product_attention_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_smooth_l1_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_soft_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_triplet_margin_loss_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_nn_functional_upsample_bilinear_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_permute_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_polygamma_polygamma_n_0_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_polygamma_polygamma_n_3_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_pow_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_sin_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_slice_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_softmax_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_airy_ai_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_log_ndtr_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_special_xlog1py_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_squeeze_multiple_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_tensordot_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_to_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_triu_cuda_float32, test/test_ops.py::TestCompositeComplianceCUDA::test_view_replay_var_cuda_float32, test/test_ops.py::TestMathBitsCUDA::test_conj_view___getitem___cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs__conversions_half_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_addcmul_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_as_strided_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_asin_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_diag_embed_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_div_no_rounding_mode_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_expand_as_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_expand_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_expm1_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_index_fill_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_isreal_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_istft_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_nn_functional_channel_shuffle_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_nn_functional_l1_loss_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_reshape_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_square_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view__refs_sum_to_size_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_atanh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_atleast_3d_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_baddbmm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cdouble_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_chalf_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_constant_pad_nd_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_cov_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_diff_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_dot_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_empty_strided_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_eye_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fft_irfft_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_fft_irfftn_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_inner_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_isinf_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_lu_solve_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linalg_vector_norm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_linspace_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_masked_cumsum_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_masked_normalize_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_mm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_new_zeros_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_nn_functional_normalize_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_norm_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_normal_in_place_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_pow_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_reciprocal_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_scatter_add_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_short_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_stft_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_t_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_tanh_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_to_sparse_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_trace_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_unbind_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_unflatten_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_unsafe_chunk_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_unsqueeze_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_view_as_real_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_conj_view_view_copy_cuda_complex64, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs__conversions_half_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_addcdiv_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_broadcast_tensors_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_expand_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_expand_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_linalg_svd_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_linspace_tensor_overload_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_masked_fill_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_mean_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_narrow_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_permute_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_positive_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_ravel_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_reciprocal_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_sigmoid_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_square_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_squeeze_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_squeeze_multiple_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_unflatten_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view__refs_zeros_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_addmm_decomposed_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_alias_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_allclose_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_atleast_2d_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_baddbmm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_bmm_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_eq_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_fft_ifftshift_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_full_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_full_like_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_isinf_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_istft_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_ldexp_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_lerp_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_diagonal_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_eigh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_eigvalsh_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_householder_product_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_inv_ex_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_linalg_matrix_rank_hermitian_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_log10_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_log1p_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_mT_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_nonzero_static_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_norm_nuc_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_sgn_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_std_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_unbind_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_unbind_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_unfold_copy_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_var_mean_unbiased_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_conj_view_vdot_cuda_complex128, test/test_ops.py::TestMathBitsCUDA::test_neg_view___getitem___cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__native_batch_norm_legit_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs__conversions_byte_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_as_strided_scatter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_atleast_3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_cauchy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_clamp_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_diagonal_scatter_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_empty_strided_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fft_ifft_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_floor_divide_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_fmax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_frexp_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_i0_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_isposinf_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_log_normal_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_log_softmax_with_dtype_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_hinge_embedding_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_mish_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_nn_functional_mse_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_norm_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_reciprocal_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_reshape_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_rot90_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_sin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_special_erfcx_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_sub_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_tensor_split_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_unfold_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view__refs_xlogy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_argwhere_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_bool_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_broadcast_tensors_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_cauchy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_complex_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_diag_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_dsplit_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_expand_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_expand_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_eye_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_fftn_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fft_fftshift_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_fliplr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_float_power_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_index_add_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_jiterator_2inputs_2outputs_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_le_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_eigh_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_linalg_svd_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_log2_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_log_normal_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_log_softmax_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_logcumsumexp_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_argmin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_masked_prod_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_neg_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_adaptive_avg_pool1d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_adaptive_max_pool1d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_alpha_dropout_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_conv_transpose3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_cosine_similarity_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_dropout2d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_fractional_max_pool3d_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_hardshrink_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_linear_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_multi_margin_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_pad_circular_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_nn_functional_unfold_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_norm_nuc_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_outer_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_polygamma_polygamma_n_3_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_pow_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_scatter_reduce_amin_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_select_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_signal_windows_bartlett_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_signal_windows_hann_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_entr_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_special_erfcx_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_squeeze_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_tile_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_true_divide_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_unsafe_chunk_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_unsqueeze_copy_cuda_float64, test/test_ops.py::TestMathBitsCUDA::test_neg_view_zero__cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_fake___rdiv___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_allclose_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_asinh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast___rdiv___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast__segment_reduce_lengths_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_addmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_asinh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_bitwise_not_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cauchy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cdouble_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cholesky_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_clamp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_constant_pad_nd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_cummin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_deg2rad_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_diag_embed_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_diagonal_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_dist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_double_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_empty_permuted_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_expm1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fft_ihfft_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fliplr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_fmin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_geometric_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_i0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_index_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_index_reduce_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_det_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_linalg_pinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_log_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_masked_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_max_binary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_max_reduction_with_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_mv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_native_batch_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_ne_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_adaptive_max_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_batch_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_pdist_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_threshold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_nn_functional_upsample_nearest_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_outer_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_qr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_round_decimals_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_round_decimals_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_round_decimals_neg_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_scatter_add_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_select_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_select_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_short_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_slice_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_sparse_mm_reduce_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_airy_ai_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_laguerre_polynomial_l_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_modified_bessel_i1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_square_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_std_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_svd_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_tensordot_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_to_sparse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_var_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_autocast_view_as_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_byte_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_char_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_complex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_contiguous_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_cross_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp___getitem___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp__upsample_bilinear2d_aa_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_acos_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_acosh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_addmv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_alias_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_chunk_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_combinations_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_diagonal_scatter_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_exp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_expand_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fft_hfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_flatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_index_reduce_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_cond_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_eigvalsh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_householder_product_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_lu_factor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_lu_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_tensorinv_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_linalg_vander_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_logcumsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_logsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_log_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_masked_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_meshgrid_list_of_tensors_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_min_binary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_narrow_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_celu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_conv2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_ctc_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_grid_sample_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_hardsigmoid_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_interpolate_bicubic_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_linear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_multi_head_attention_forward_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_multilabel_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_smooth_l1_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_nn_functional_softplus_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_polygamma_polygamma_n_1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_roll_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_scatter_reduce_amin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_special_i1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_special_log_ndtr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_split_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_amp_unsqueeze_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_H_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp___rmod___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_atan_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_atleast_3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_bmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_clamp_min_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cos_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_digamma_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fft_rfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_flatten_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_flip_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_flipud_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_fmod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_cond_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_norm_subgradients_at_zero_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_pinv_hermitian_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_solve_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_linalg_vander_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_log1p_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_log2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_logit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_logsumexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_masked_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_max_reduction_no_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_min_binary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_minimum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest-exact_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_linear_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_pad_circular_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_pad_constant_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_pad_reflect_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_nn_functional_pad_replicate_negative_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_norm_fro_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_ormqr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_quantile_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_reshape_as_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_scatter_reduce_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_scatter_reduce_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_sin_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_special_xlog1py_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_split_list_args_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_squeeze_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_std_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_t_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_transpose_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_transpose_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_unfold_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_unfold_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_unsqueeze_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_unsqueeze_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_crossref_backward_no_amp_zero__cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_equal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_fft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_fft_hfft2_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_geometric_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_igammac_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_kthvalue_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_cross_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_solve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_linalg_svdvals_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_log_softmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_logical_and_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_logical_xor_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_cumprod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_cumsum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_median_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_masked_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_median_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_min_reduction_no_dim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_movedim_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ne_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_new_empty_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_new_empty_strided_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_adaptive_avg_pool3d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_dropout_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_group_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_kl_div_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_max_pool1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_normalize_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_pad_circular_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_smooth_l1_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_nn_functional_soft_margin_loss_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_norm_fro_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_norm_inf_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_ormqr_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_polygamma_polygamma_n_1_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_resolve_conj_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_rot90_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_signal_windows_cosine_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_signal_windows_kaiser_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_i0e_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_legendre_polynomial_p_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_shifted_chebyshev_polynomial_v_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_special_shifted_chebyshev_polynomial_w_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_trapz_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_tril_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_unsqueeze_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_fake_xlogy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops___rmod___cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops__unsafe_masked_index_put_accumulate_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_addbmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_amax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_aminmax_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_any_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_argsort_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bitwise_and_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_bmm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_cartesian_prod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_diagonal_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_eq_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_expand_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_eye_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_fftshift_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fft_ifftshift_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_float_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_float_power_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_fmod_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_full_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_grid_sampler_2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_half_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_index_fill_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_jiterator_binary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_ldexp_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_cholesky_ex_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_det_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_householder_product_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_matrix_power_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_linalg_tensorsolve_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_masked_std_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_max_binary_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mul_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_mvlgamma_mvlgamma_p_3_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nanmedian_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_narrow_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_neg_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_new_full_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_adaptive_max_pool2d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_binary_cross_entropy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_conv1d_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_cross_entropy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_elu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_hardshrink_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_leaky_relu_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_one_hot_cuda_int64, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_pad_circular_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_nn_functional_rms_norm_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_normal_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_pinverse_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_polygamma_polygamma_n_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_rand_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_randint_like_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_repeat_interleave_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_round_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_round_decimals_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_rsub_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_scatter_reduce_mean_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_scatter_reduce_sum_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_short_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signal_windows_kaiser_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_signbit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_sinh_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_slice_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_airy_ai_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_hermite_polynomial_he_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_i0e_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_laguerre_polynomial_l_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_special_polygamma_special_polygamma_n_0_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_torch__scaled_mm_cuda_float8_e4m3fn, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_torch_ops_aten__safe_softmax_default_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_transpose_copy_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_var_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_var_mean_unbiased_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_pointwise_ops_vsplit_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_arange_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_cuda_int16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_linspace_tensor_overload_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_logspace_cuda_uint8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_ones_cuda_int16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout__refs_zeros_cuda_float32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_arange_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_bool, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_complex32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_full_cuda_int32, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_cuda_complex64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_linspace_tensor_overload_cuda_float16, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_complex128, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_logspace_tensor_overload_cuda_float64, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_ones_cuda_int8, test/test_ops.py::TestFakeTensorCUDA::test_strided_layout_zeros_cuda_bool, test/test_ops.py::TestTagsCUDA::test_tags_T_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__native_batch_norm_legit_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_cdouble_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_char_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs__conversions_long_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_cumprod_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_diag_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_ifft_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_fft_ifftshift_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_flipud_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_heaviside_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_imag_cuda_complex64, test/test_ops.py::TestTagsCUDA::test_tags__refs_index_select_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_isnan_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_isreal_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_logical_xor_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_new_ones_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_nn_functional_margin_ranking_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_permute_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_randn_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_real_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_reshape_as_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_rsqrt_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_rsub_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_i1_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_special_softmax_with_dtype_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_squeeze_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_sub_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_t_copy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__refs_xlogy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags__unsafe_masked_index_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_addbmm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_as_strided_partial_views_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_asin_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_asinh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_atleast_2d_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_byte_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_conj_physical_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_dist_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_hfft_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fft_ifft2_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_fmod_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_gradient_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_igammac_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_eigvalsh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_linalg_svdvals_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_logaddexp_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_masked_median_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_mv_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_cross_entropy_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_embedding_bag_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_hardsigmoid_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_hardswish_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_interpolate_bicubic_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_l1_loss_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_layer_norm_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_relu_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_nn_functional_unfold_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_ones_like_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_outer_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_polygamma_polygamma_n_4_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_round_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_sinh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_laguerre_polynomial_l_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_legendre_polynomial_p_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_modified_bessel_k0_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_special_ndtri_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_sum_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tanh_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_tril_indices_cuda_int64, test/test_ops.py::TestTagsCUDA::test_tags_unflatten_cuda_float32, test/test_ops.py::TestTagsCUDA::test_tags_xlogy_cuda_float32 2025-12-04T14:38:31.3300242Z 2025-12-04T14:38:31.3300546Z Finished test_ops 8/11 ... [2025-12-04 14:38:31.083555][18346.833093205], took 21.14min 2025-12-04T14:38:31.3301593Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops/test_ops-d05dc56a275f45eb.xml 2025-12-04T14:38:31.9421727Z Uploading artifacts took 0.69 seconds 2025-12-04T14:38:31.9426130Z Running test_sparse_csr 1/2 ... [2025-12-04 14:38:31.942422][18347.691967363] 2025-12-04T14:38:31.9426687Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T14:38:31.9431275Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_sparse_csr.py', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 14:38:31.942869] 2025-12-04T14:54:33.3404046Z 2025-12-04T14:54:33.3405301Z test_sparse_csr 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.2_f4eef7c97ea0e251_.log 2025-12-04T14:54:33.4687334Z Running 2531 items in this shard: test/test_sparse_csr.py::TestSparseCSRSampler::test_make_crow_indices, test/test_sparse_csr.py::TestSparseCSRCUDA::test_add_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_add_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_all_sparse_csr_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_dense_result_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_0_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_1_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_0_m_25_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_10_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_1_m_0_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_0_n_1_m_1_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_0_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_1_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_0_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_0_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_1_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_10_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_0_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_1_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_1_n_1_m_25_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_0_m_0_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cuda_float16, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_0_m_1_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_addmm_sizes_all_sparse_csr_k_8_n_0_m_25_cuda_float64, 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test/test_sparse_csr.py::TestSparseCSRCUDA::test_coo_csr_conversion_cuda_uint8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_bool, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_int32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_int64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_coo_conversion_cuda_uint8, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_double_to_sparse_csr_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_is_contiguous_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_matvec_cuda_complex128, test/test_sparse_csr.py::TestSparseCSRCUDA::test_csr_matvec_cuda_float16, 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test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseCSC_NonBatched_Hybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseCSR_Batched_Hybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseCSR_Batched_NonHybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseCSR_NonBatched_Hybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_dense_to_from_sparse_compressed_SparseCSR_NonBatched_NonHybrid_cuda, test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_complex64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_float32, test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_float64, test/test_sparse_csr.py::TestSparseCSRCUDA::test_direct_coo_csr_conversion_cuda_int32, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_amin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_mean_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_prod_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_masked_sum_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_mul_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_neg_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_nn_functional_relu_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_nn_functional_relu_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_nn_functional_relu_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_nn_functional_relu_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_nn_functional_relu_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_nn_functional_relu_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_positive_cuda_float64, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_round_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sgn_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sign_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_signbit_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sqrt_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_sum_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_tanh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_to_sparse_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_trunc_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_trunc_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_trunc_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_trunc_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSC_zeros_like_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_abs_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_angle_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_asinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_atanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_ceil_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_conj_physical_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_deg2rad_cuda_int64, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_randn_like_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_randn_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_round_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_round_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_round_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_round_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sgn_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sign_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_signbit_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sqrt_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_sum_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_tanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_to_sparse_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_trunc_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseBSR_zeros_like_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_abs_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_angle_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_asinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_atanh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_ceil_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_conj_physical_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_deg2rad_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_erfinv_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_expm1_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_floor_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_frac_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_frac_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_frac_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isinf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isnan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isneginf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_isposinf_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_log1p_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amax_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_amin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_mean_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_mean_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_mean_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_prod_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_masked_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_mul_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_neg_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_nn_functional_relu_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_positive_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_rad2deg_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_randn_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_round_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sgn_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sign_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_signbit_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sinh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sqrt_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_sum_cuda_int8, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_to_sparse_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_trunc_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSC_zeros_like_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_abs_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_angle_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_asinh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_atanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_ceil_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_conj_physical_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_deg2rad_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_erfinv_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_expm1_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_floor_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_frac_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_frac_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isinf_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isnan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isneginf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_isposinf_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_log1p_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amax_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_amin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_mean_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_prod_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_masked_sum_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_mul_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_neg_cuda_float16, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_round_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sgn_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sign_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_signbit_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sin_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sinh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sqrt_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_sum_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tan_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_tanh_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_to_sparse_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_trunc_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_complex32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_consistency_SparseCSR_zeros_like_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseBSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseBSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_copy_errors_SparseCSC_cuda_int8, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_SparseCSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_errors_SparseCSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_empty_errors_SparseCSC_cuda_bool, 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test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference___from_tensor_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_list_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_constructor_shape_and_device_inference_factory_from_tensor_SparseCSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_sparse_compressed_tensor_with_dims_SparseCSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseBSR_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_to_dtype_SparseCSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_int64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_int16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseBSR_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_complex64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_int32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSC_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_bool, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_complex128, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_float64, test/test_sparse_csr.py::TestSparseCompressedCUDA::test_validate_SparseCSR_cuda_uint8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_TensorAsKey_cuda, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_addmm_meta_cuda, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_16_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_16_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_32_int64_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_64_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_block_size_64_int64_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_dense_bmm_error_messages_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_16_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_16x32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_16x32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_2_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_2x3_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_64_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_bsr_scatter_mm_blocksize_64_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op__int_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_16x32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_addmm_blocksize_32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_16x32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_linear_blocksize_32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_16x32_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_int32_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_kernel_op_bsr_dense_mm_blocksize_32_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_16_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_16_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_sampled_addmm_block_size_32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_16_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_16_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scaled_dot_product_attention_block_size_64_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_scatter_mm_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_unspecified_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op__int_bsr_dense_addmm_out_dtype_unspecified_cuda_int8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_int32_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_int32_cuda_float32, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_unspecified_cuda_float16, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCUDA::test_triton_tune_op_bsr_dense_addmm_out_dtype_unspecified_cuda_float32 2025-12-04T14:54:33.5943892Z 2025-12-04T14:54:33.5944636Z Finished test_sparse_csr 1/2 ... [2025-12-04 14:54:33.344390][19309.093929462], took 16.02min 2025-12-04T14:54:33.5945827Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_sparse_csr/test_sparse_csr-81e07c86e26020ea.xml 2025-12-04T14:54:33.5946922Z Running functorch/test_ops 4/7 ... [2025-12-04 14:54:33.506005][19309.255546853] 2025-12-04T14:54:33.5947439Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T14:54:33.5948650Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'functorch/test_ops.py', '--shard-id=4', '--num-shards=7', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 14:54:33.506554] 2025-12-04T15:04:39.3901751Z 2025-12-04T15:04:39.3902756Z functorch/test_ops 4/7 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_4.7_67c10c4ca21e0494_.log 2025-12-04T15:04:39.4584281Z Running 1450 items in this shard: test/functorch/test_ops.py::TestOperatorsCUDA::test_grad___getitem___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad___rmod___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad___rsub___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad__chunk_cat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad__native_batch_norm_legit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_add_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_addbmm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_alias_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_any_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_atleast_3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_bfloat16_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_block_diag_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_cummax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_deg2rad_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_diagflat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_digamma_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_div_floor_rounding_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_fft_ifft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_fft_ihfftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_fft_irfftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_fft_rfftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_flip_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_full_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_gather_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_half_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_half_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_igamma_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_igammac_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_index_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_int_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_isfinite_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_linalg_inv_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_linalg_ldl_factor_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_linalg_solve_triangular_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_log_softmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_logdet_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_logspace_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_long_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_long_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_masked_argmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_masked_log_softmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_masked_logaddexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_masked_logsumexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_masked_softmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_max_pool2d_with_indices_backward_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_mul_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nanquantile_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_new_ones_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nextafter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_avg_pool2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_channel_shuffle_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_conv1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_conv2d_no_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_conv2d_stride_depthwise_with_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_dropout3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_hardtanh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_interpolate_area_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_interpolate_nearest_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_l1_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_max_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_max_unpool1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_max_unpool1d_grad_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_max_unpool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_multi_margin_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_pad_reflect_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_pad_replicate_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_relu6_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_nn_functional_relu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_norm_inf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_normal_in_place_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_ones_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_pca_lowrank_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_qr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_remainder_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_repeat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_repeat_interleave_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_round_decimals_0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_round_decimals_3_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_rsub_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_short_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_sign_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_signal_windows_bartlett_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_slice_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_special_bessel_y0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_special_chebyshev_polynomial_v_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_special_chebyshev_polynomial_w_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_special_i1e_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_special_legendre_polynomial_p_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_special_polygamma_special_polygamma_n_0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_special_scaled_modified_bessel_k1_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_special_shifted_chebyshev_polynomial_v_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_special_zeta_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_split_list_args_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_split_with_sizes_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_squeeze_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_stft_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_sum_to_size_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_tan_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_tanh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_tensordot_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_torch_ops_aten__efficient_attention_forward_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_unfold_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_view_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_where_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_grad_zero__cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_ScaleGradGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp___getitem___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp___rmatmul___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp___rsub___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp__softmax_backward_data_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_addcdiv_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_allclose_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_argmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_as_strided_partial_views_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_bfloat16_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_bfloat16_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_broadcast_tensors_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_broadcast_to_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_bucketize_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_cfloat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_char_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_clamp_max_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_count_nonzero_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_diagonal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_dsplit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_equal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_expand_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_fft_fft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_fft_fftshift_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_fft_rfft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_flatten_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_fmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_grid_sampler_2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_hstack_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_index_reduce_prod_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_isin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_isposinf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_jiterator_unary_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_linalg_cholesky_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_linalg_det_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_linalg_ldl_factor_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_linalg_lstsq_grad_oriented_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_linalg_pinv_singular_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_linalg_slogdet_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_linalg_solve_triangular_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_linalg_tensorinv_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_linalg_vector_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_logaddexp2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_masked_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_masked_cumprod_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_masked_softmin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_matrix_exp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_maximum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_median_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_min_binary_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_min_reduction_with_dim_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_narrow_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_neg_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_adaptive_avg_pool1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_adaptive_max_pool2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_adaptive_max_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_avg_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_channel_shuffle_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_conv2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_conv2d_strided_padding_dilation_with_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_conv_transpose1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_conv_transpose2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_feature_alpha_dropout_with_train_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_gaussian_nll_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_local_response_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_mse_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_nn_functional_pdist_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_normal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_outer_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_qr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_randint_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_real_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_repeat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_round_decimals_3_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_round_decimals_neg_3_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_rsub_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_scatter_reduce_sum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_short_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_sin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_special_airy_ai_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_special_chebyshev_polynomial_w_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_special_modified_bessel_i0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_stft_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_take_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_torch_ops_aten__safe_softmax_default_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_transpose_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_transpose_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_trapezoid_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_triu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_true_divide_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_unique_consecutive_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvp_unsafe_split_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpjvpvmap_CubeGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpjvpvmap_NumpyCubeNotComposableAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpjvpvmap_NumpyMulAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpjvpvmap_NumpySortAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpjvpvmap_SelectAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpjvpvmap_SortGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_H_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_NumpyCubeAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_NumpyMulAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_ScaleGradGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_SortGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp___rmod___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp___rmul___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp___rsub___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp__segment_reduce_lengths_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp__unsafe_masked_index_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_bfloat16_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_cauchy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_ceil_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_cosh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_cross_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_cumprod_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_div_no_rounding_mode_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_double_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_erfc_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_fft_fft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_fft_fftshift_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_fft_hfft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_fft_ifft_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_fft_ihfft_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_flip_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_geometric_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_geqrf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_hsplit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_index_reduce_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_index_select_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_inner_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_int_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_isinf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_item_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_kthvalue_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_linalg_cond_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_linalg_eig_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_linalg_eigh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_linalg_inv_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_linalg_slogdet_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_linalg_vecdot_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_log_softmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_logical_and_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_lu_solve_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_lu_unpack_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_mT_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_mvlgamma_mvlgamma_p_1_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_mvlgamma_mvlgamma_p_3_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_neg_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_new_full_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_adaptive_avg_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_adaptive_max_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_conv2d_stride_groups_with_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_conv2d_with_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_embedding_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_fractional_max_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_leaky_relu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_linear_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_mish_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_mse_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_pad_circular_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_pad_replicate_negative_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_pdist_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_pixel_shuffle_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_selu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_softshrink_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_norm_fro_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_ones_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_outer_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_pca_lowrank_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_pow_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_rand_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_randint_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_renorm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_repeat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_scatter_reduce_amin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_scatter_reduce_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_searchsorted_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_signal_windows_blackman_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_signal_windows_kaiser_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_special_bessel_j0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_special_log_ndtr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_special_scaled_modified_bessel_k0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_split_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_tan_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_topk_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_trace_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_trapz_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_unbind_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_unflatten_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjp_var_unbiased_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvjpvmap_ScaleGradGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvmap_CubeGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvmap_MulGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvmap_NumpySortAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvmapvmap_NumpyCubeAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvmapvmap_SortGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_jvpvmapvmap_ZeroGradientsGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_ordered_bool_raises_argmax_cuda_bool, test/functorch/test_ops.py::TestOperatorsCUDA::test_ordered_bool_raises_floor_cuda_bool, test/functorch/test_ops.py::TestOperatorsCUDA::test_ordered_complex_raises_amax_cuda_complex32, test/functorch/test_ops.py::TestOperatorsCUDA::test_ordered_complex_raises_argmax_cuda_complex32, test/functorch/test_ops.py::TestOperatorsCUDA::test_ordered_complex_raises_ceil_cuda_complex32, test/functorch/test_ops.py::TestOperatorsCUDA::test_ordered_complex_raises_floor_cuda_complex64, test/functorch/test_ops.py::TestOperatorsCUDA::test_ordered_complex_raises_minimum_cuda_complex32, test/functorch/test_ops.py::TestOperatorsCUDA::test_ordered_complex_raises_minimum_cuda_complex64, test/functorch/test_ops.py::TestOperatorsCUDA::test_ordered_complex_raises_sort_cuda_complex32, test/functorch/test_ops.py::TestOperatorsCUDA::test_tensor_with_scalar_list_cuda, test/functorch/test_ops.py::TestOperatorsCUDA::test_view_then_inplace_T_grad_op_vjp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_view_then_inplace_broadcast_to_grad_op_vjp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_view_then_inplace_flatten_grad_op_jvp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_view_then_inplace_reshape_grad_op_jvp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_view_then_inplace_resolve_conj_grad_op_jvp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_view_then_inplace_resolve_conj_grad_op_vjp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_view_then_inplace_unfold_grad_op_vjp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_NumpyExpMarkDirtyAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_NumpyMulAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_ScaleGradGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp___getitem___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp__unsafe_masked_index_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_addbmm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_asinh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_bfloat16_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_bfloat16_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_cauchy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_cholesky_inverse_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_combinations_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_constant_pad_nd_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_cov_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_cross_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_cumprod_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_diag_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_diag_embed_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_diagflat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_div_no_rounding_mode_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_empty_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_fft_ifftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_fft_ihfft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_fft_ihfftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_fft_rfft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_fft_rfft_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_fft_rfftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_fmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_full_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_gt_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_half_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_index_put_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_index_reduce_amin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_index_select_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_inner_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_jiterator_4inputs_with_extra_args_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_kron_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_linalg_cross_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_linalg_diagonal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_linalg_ldl_factor_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_linalg_lu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_linalg_matrix_power_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_log10_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_logcumsumexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_logdet_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_logit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_masked_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_masked_argmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_masked_cumprod_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_masked_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_masked_median_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_median_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_meshgrid_variadic_tensors_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_minimum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_mul_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_multinomial_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nanmean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nanmedian_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_new_empty_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_new_full_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_adaptive_max_pool2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_conv2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_conv2d_stride_groups_with_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_conv_transpose3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_cross_entropy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_embedding_functorch_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_fractional_max_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_gelu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_interpolate_nearest-exact_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_linear_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_multilabel_margin_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_pad_reflect_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_pairwise_distance_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_pixel_unshuffle_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_relu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_scaled_dot_product_attention_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_triplet_margin_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nn_functional_unfold_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_nonzero_static_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_norm_nuc_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_normal_number_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_outer_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_polygamma_polygamma_n_0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_polygamma_polygamma_n_2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_positive_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_pow_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_randn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_real_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_rot90_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_searchsorted_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_select_scatter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_signal_windows_bartlett_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_signal_windows_blackman_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_signbit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_sin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_sinh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_softmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_special_chebyshev_polynomial_t_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_special_modified_bessel_k0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_special_scaled_modified_bessel_k1_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_special_zeta_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_split_list_args_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_split_with_sizes_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_stack_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_std_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_sum_to_size_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_trace_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_transpose_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_trapz_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_trunc_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_unbind_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_var_unbiased_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_view_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjp_zero__cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp__chunk_cat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp__segment_reduce_lengths_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp__segment_reduce_offsets_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp__upsample_bilinear2d_aa_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_arange_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_as_strided_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_atan_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_atleast_3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_bucketize_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_cat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_chunk_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_clamp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_clone_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_combinations_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_copysign_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_cummax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_diag_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_diagflat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_dist_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_div_floor_rounding_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_empty_strided_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_erf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_exponential_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_eye_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_fft_fftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_fft_hfft_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_fft_ifftshift_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_fft_irfftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_fft_rfft_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_fmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_grid_sampler_3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_half_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_histc_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_hstack_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_hypot_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_isposinf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_lerp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_lgamma_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_linalg_diagonal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_linalg_eig_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_linalg_eigvalsh_cuda_float32, 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test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_lt_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_masked_argmin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_masked_fill_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_masked_logsumexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_masked_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_masked_softmin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_masked_std_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_minimum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_mode_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_mul_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nanquantile_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_avg_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_binary_cross_entropy_with_logits_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_channel_shuffle_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_conv2d_stride_with_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_conv_transpose2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_dropout2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_embedding_bag_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_gaussian_nll_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_instance_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_l1_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_local_response_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_nll_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_normalize_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_pad_replicate_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_pdist_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_selu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_silu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nn_functional_unfold_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_nonzero_static_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_norm_inf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_normal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_pinverse_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_quantile_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_randint_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_real_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_reciprocal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_resize_as__cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_roll_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_round_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_short_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_slice_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_special_airy_ai_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_special_chebyshev_polynomial_t_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_special_entr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_special_hermite_polynomial_h_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_special_legendre_polynomial_p_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_special_modified_bessel_k0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_split_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_square_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_sum_to_size_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_svd_lowrank_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_t_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_take_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_tanh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_tensor_split_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_to_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_unbind_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_unfold_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_uniform_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_unsqueeze_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjp_xlogy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjpvmap_NumpyCubeAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvjpvmap_NumpySortAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_NumpyCubeNotComposableAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_SortGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_ZeroGradientsGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap___rsub___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_acos_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_any_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_asinh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_bernoulli_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_bfloat16_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_byte_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_ceil_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_chalf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_chunk_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_diag_embed_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_diagonal_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_div_floor_rounding_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_div_trunc_rounding_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_einsum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_empty_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_equal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_exp2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_expand_as_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_expand_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_expm1_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_fft_irfftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_float_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_floor_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_fmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_full_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_gather_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_geqrf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_gradient_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_grid_sampler_3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_igammac_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_index_add_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_index_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_index_put_functorch_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_isinf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_isposinf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_item_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_jiterator_binary_return_by_ref_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_ldexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_lgamma_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_linalg_cross_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_linalg_ldl_factor_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_linalg_lu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_linalg_solve_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_logspace_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_logspace_tensor_overload_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_lu_solve_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_mH_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_masked_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_masked_argmin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_masked_fill_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_masked_var_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_max_binary_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_msort_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_mvlgamma_mvlgamma_p_3_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nansum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_avg_pool2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_channel_shuffle_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_conv2d_strided_padding_dilation_no_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_cosine_similarity_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_interpolate_area_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_interpolate_nearest_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_local_response_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_max_pool2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_max_unpool1d_grad_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_mse_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_pad_reflect_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_pad_replicate_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_smooth_l1_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_softmin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_nn_functional_upsample_nearest_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_permute_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_quantile_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_resize_as__cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_select_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_signal_windows_blackman_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_sinh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_special_chebyshev_polynomial_v_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_special_scaled_modified_bessel_k0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_stack_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_std_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_svd_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_topk_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_torch_ops_aten__efficient_attention_forward_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_true_divide_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_trunc_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_unbind_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_unfold_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_unique_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_unsafe_split_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmap_unsqueeze_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmapvmap_CubeGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmapvmap_SelectAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vjpvmapvmap_ZeroGradientsGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_CubeGenVmapAutogradFunction_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_NumpyTakeAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_ScaleGradGenVmapAutogradFunction_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_SelectGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad___getitem___cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad___rdiv___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad___rmatmul___cuda_float32, 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test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_bfloat16_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_bmm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_bucketize_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_byte_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cartesian_prod_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cauchy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cauchy_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cdouble_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_char_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cholesky_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cholesky_inverse_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cholesky_solve_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_chunk_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_clamp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_combinations_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_complex_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_constant_pad_nd_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_corrcoef_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_count_nonzero_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cov_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cov_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_cross_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_div_floor_rounding_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_div_trunc_rounding_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_double_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_double_functorch_no_channels_last_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_einsum_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_eq_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_equal_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_erf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_erf_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_expand_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_expand_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_eye_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_fft_fft_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_fft_ihfft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_fmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_geometric_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_gradient_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_half_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_hash_tensor_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_hsplit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_hsplit_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_index_put_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_int_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_isneginf_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_kthvalue_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_eigh_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_eigvals_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_householder_product_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_lstsq_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_lu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_lu_factor_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_norm_subgradients_at_zero_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_pinv_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_qr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_tensorsolve_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_vander_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_vander_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linalg_vecdot_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_linspace_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_log10_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_logical_and_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_logspace_tensor_overload_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_long_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_lu_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_lu_unpack_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_cumprod_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_cumprod_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_fill_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_logaddexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_logaddexp_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_median_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_prod_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_std_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_masked_var_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_max_reduction_with_dim_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_maximum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_meshgrid_list_of_tensors_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_meshgrid_variadic_tensors_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_min_reduction_with_dim_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_movedim_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_mul_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_new_zeros_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_batch_norm_without_cudnn_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_with_logits_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_celu_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_conv1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_conv2d_no_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_conv2d_stride_no_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_conv_transpose2d_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_dropout2d_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_dropout_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_elu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_embedding_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_glu_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_group_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_huber_loss_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_instance_norm_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_interpolate_area_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_interpolate_linear_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_interpolate_linear_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_max_pool3d_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_max_unpool1d_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_max_unpool1d_grad_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_max_unpool1d_grad_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_max_unpool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_mse_loss_functorch_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_multi_head_attention_forward_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_multilabel_soft_margin_loss_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_pad_replicate_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_pad_replicate_negative_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_pad_replicate_negative_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_pdist_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_silu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_smooth_l1_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_smooth_l1_loss_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_softmin_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_softmin_with_dtype_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_threshold_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_nonzero_static_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_norm_inf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_permute_copy_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_polar_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_pow_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_rad2deg_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_rad2deg_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_real_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_remainder_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_repeat_interleave_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_resize_as__cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_resolve_neg_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_rot90_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_rsub_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_scalar_tensor_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_scatter_reduce_amin_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_signal_windows_exponential_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_softmax_with_dtype_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_sort_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_chebyshev_polynomial_t_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_chebyshev_polynomial_u_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_i1_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_laguerre_polynomial_l_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_legendre_polynomial_p_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_modified_bessel_i1_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_ndtr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_ndtri_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_u_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_special_zeta_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_square_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_std_unbiased_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_t_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_topk_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_trapezoid_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_triangular_solve_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_trunc_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_unbind_copy_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_unfold_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_unique_cuda_float64, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_unsqueeze_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_var_unbiased_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_view_as_complex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_view_as_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_view_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmap_autograd_grad_where_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_MulGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_NumpyCubeAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_NumpySortAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_ZeroGradientsGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall___rmul___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall__chunk_cat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall__softmax_backward_data_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_alias_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_amin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_arange_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_asin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_byte_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_ceil_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_clamp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_constant_pad_nd_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_cov_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_cross_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_cummax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_div_trunc_rounding_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_eq_cuda_float32, 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test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_nn_functional_hardshrink_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_nn_functional_huber_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_nn_functional_max_pool1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_nn_functional_pairwise_distance_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_nn_functional_prelu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_nn_functional_softmin_with_dtype_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_nn_functional_softplus_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_nn_functional_triplet_margin_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_pinverse_cuda_float32, 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test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_view_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_vsplit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpall_zero__cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_ZeroGradientsGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp___getitem___functorch_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_addbmm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_addmm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_addmm_decomposed_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_as_strided_scatter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_byte_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_cauchy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_copysign_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_count_nonzero_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_cummax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_cummin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_cumulative_trapezoid_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_diff_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_dsplit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_empty_permuted_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_exp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_expand_as_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_fft_fftshift_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_fill_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_fliplr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_float_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_float_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_gather_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_hsplit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_jiterator_binary_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_jiterator_binary_return_by_ref_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_jiterator_unary_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_kron_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_ldexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_linalg_cross_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_linalg_lu_factor_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_linalg_vander_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_logcumsumexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_lu_unpack_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_masked_amin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_masked_cumprod_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_masked_logsumexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_masked_softmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_max_pool2d_with_indices_backward_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_median_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_min_binary_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_mvlgamma_mvlgamma_p_5_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nanmedian_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nansum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_new_empty_strided_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_adaptive_avg_pool2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_conv2d_stride_with_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_conv_transpose3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_dropout_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_fractional_max_pool2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_fractional_max_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_hardshrink_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_hardswish_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_interpolate_bicubic_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_pad_constant_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_softshrink_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_tanhshrink_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_threshold_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_nn_functional_upsample_nearest_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_normal_in_place_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_normal_number_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_permute_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_pinverse_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_positive_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_quantile_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_resize_as__cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_rsqrt_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_scatter_add_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_scatter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_select_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_signal_windows_hamming_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_signal_windows_hann_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_sinc_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_sinh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_slice_scatter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_special_chebyshev_polynomial_w_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_special_laguerre_polynomial_l_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_special_xlog1py_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_split_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_std_mean_unbiased_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_sum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_topk_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_transpose_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_triu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_unflatten_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_var_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_view_as_complex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_vstack_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvjp_where_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvmap_MulGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvmap_NumpyCubeNotComposableAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvmap_NumpyExpMarkDirtyAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvmap_NumpySortAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapjvpvmap_ZeroGradientsGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_NumpySortAutogradFunction_cuda_float32, 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test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_argsort_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_as_strided_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_asin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_asinh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_atan2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_bfloat16_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_bool_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_broadcast_to_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_byte_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_byte_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_cartesian_prod_cuda_float32, 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test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_ceil_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_cfloat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_char_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_char_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_cholesky_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_column_stack_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_cross_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_diff_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_digamma_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_div_trunc_rounding_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_dot_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_dsplit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_erf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_erfinv_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_expand_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_expm1_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_eye_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_fft_hfft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_frexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_full_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_gather_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_geometric_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_grid_sampler_3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_half_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_hash_tensor_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_hypot_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_i0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_index_add_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_int_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_int_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_isnan_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_jiterator_4inputs_with_extra_args_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_linalg_cholesky_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_linalg_eigvalsh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_linalg_lu_factor_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_logaddexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_logical_xor_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_masked_fill_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_masked_logsumexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_matmul_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_maximum_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_median_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_mm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nanmean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_narrow_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_native_dropout_backward_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_neg_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_new_full_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_adaptive_max_pool1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_conv3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_gelu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_glu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_hardsigmoid_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_huber_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_instance_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_interpolate_nearest-exact_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_l1_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_leaky_relu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_max_unpool2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_pad_replicate_negative_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_pixel_unshuffle_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_scaled_dot_product_attention_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_threshold_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_nn_functional_triplet_margin_with_distance_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_norm_nuc_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_permute_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_rad2deg_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_randint_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_randint_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_scatter_reduce_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_scatter_reduce_amin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_select_scatter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_sigmoid_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_sinh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_slice_scatter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_softmax_with_dtype_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_sparse_sampled_addmm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_special_bessel_y0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_special_chebyshev_polynomial_t_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_special_i0e_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_special_legendre_polynomial_p_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_special_modified_bessel_k0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_special_ndtr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_special_shifted_chebyshev_polynomial_w_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_split_with_sizes_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_squeeze_multiple_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_tan_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_tanh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_trace_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_transpose_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_tril_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_true_divide_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_has_batch_rule_unbind_copy_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_index_add_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_index_reduce_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_index_reduce_amin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_index_reduce_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_index_reduce_prod_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_isposinf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_jiterator_2inputs_2outputs_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_jiterator_binary_return_by_ref_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_kthvalue_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_cond_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_diagonal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_inv_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_ldl_factor_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_lstsq_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_lu_factor_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_multi_dot_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_pinv_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_solve_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_linalg_vecdot_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_long_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_masked_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_masked_logaddexp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_masked_select_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_matrix_exp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_min_reduction_no_dim_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_min_reduction_with_dim_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_movedim_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_multinomial_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_native_dropout_backward_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_new_empty_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_adaptive_avg_pool1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_avg_pool1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_celu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_conv1d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_conv2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_dropout3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_interpolate_nearest_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_interpolate_trilinear_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_local_response_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_margin_ranking_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_pad_constant_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_threshold_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_nn_functional_upsample_bilinear_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_normal_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_permute_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_pinverse_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_polar_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_polygamma_polygamma_n_3_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_ravel_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_round_decimals_3_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_scatter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_sgn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_short_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_signal_windows_blackman_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_signal_windows_exponential_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_signbit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_slice_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_softmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_special_chebyshev_polynomial_w_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_special_scaled_modified_bessel_k0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_special_spherical_bessel_j0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_std_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_svd_lowrank_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_take_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjp_tanh_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_ForwardHasDefaultArgsAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_MulGenVmapAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_NumpySortAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_NumpyTakeAutogradFunction_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp___rpow___cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp__chunk_cat_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp__unsafe_masked_index_put_accumulate_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_addr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_all_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_arange_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_argmax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_as_strided_scatter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_bfloat16_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_bool_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_bool_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_cholesky_solve_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_chunk_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_clamp_max_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_cummin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_deg2rad_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_double_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_fft_hfftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_fft_ifftshift_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_fft_ihfftn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_fft_irfft2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_float_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_full_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_full_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_hsplit_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_index_reduce_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_int_functorch_no_channels_last_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_isfinite_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_isneginf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_jiterator_4inputs_with_extra_args_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_kron_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_lerp_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_cond_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_det_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_inv_ex_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_lu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_lu_solve_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_norm_subgradients_at_zero_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_svd_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_svdvals_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linalg_vecdot_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_linspace_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_logaddexp2_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_logdet_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_masked_amax_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_masked_amin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_masked_normalize_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_masked_softmin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_max_pool2d_with_indices_backward_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_max_reduction_with_dim_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_mode_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_multinomial_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_mv_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nextafter_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_adaptive_avg_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_avg_pool3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_conv_transpose2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_conv_transpose3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_dropout2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_dropout3d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_feature_alpha_dropout_without_train_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_instance_norm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_interpolate_area_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_max_pool2d_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_max_unpool1d_grad_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_multilabel_soft_margin_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_nll_loss_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_pad_circular_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_relu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_selu_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nn_functional_softmin_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_nonzero_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_norm_inf_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_normal_number_mean_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_ones_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_pinverse_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_randn_like_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_ravel_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_renorm_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_sgn_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_sign_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_signal_windows_nuttall_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_special_chebyshev_polynomial_w_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_special_i0e_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_special_i1_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_special_log_ndtr_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_special_modified_bessel_i0_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_t_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_w_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_special_xlog1py_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_split_with_sizes_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_stft_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_tan_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_triangular_solve_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvjp_var_cuda_float32, test/functorch/test_ops.py::TestOperatorsCUDA::test_vmapvjpvmap_NumpyMulAutogradFunction_cuda_float32 2025-12-04T15:04:39.5252299Z 2025-12-04T15:04:39.5252672Z Finished functorch/test_ops 4/7 ... [2025-12-04 15:04:39.392297][19915.141838374], took 10.10min 2025-12-04T15:04:39.5253971Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/functorch.test_ops/functorch.test_ops-43330a414ae0b2c9.xml 2025-12-04T15:04:40.6921146Z Uploading artifacts took 1.16 seconds 2025-12-04T15:04:40.6925506Z Running test_overrides 1/1 ... [2025-12-04 15:04:40.692365][19916.441910476] 2025-12-04T15:04:40.6926050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T15:04:40.6930158Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 15:04:40.692793] 2025-12-04T15:04:51.9228996Z 2025-12-04T15:04:51.9229938Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_140f4f6fbd1922ff_.log 2025-12-04T15:04:51.9813616Z Running 1477 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_asinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_atanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_backward, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_baddbmm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bernoulli_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bfloat16, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_left_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_right_shift_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bitwise_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_bool, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_byte, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cauchy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ccol_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cdouble, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ceil_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cfloat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chalf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_char, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_max_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clamp_min_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clip_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_clone, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_coalesce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_col_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_conj_physical_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_copysign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cos_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cosh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cov, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cross, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_crow_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cuda, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumprod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_cumsum_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_data_ptr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_deg2rad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dense_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_det, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_detach_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_diff, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_digamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dim_order, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_div_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_double, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_element_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_eq_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erf_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_erfinv_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expand_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_expm1_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_exponential_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fill_diagonal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fix_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flip, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_float_power_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_floor_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_fmod_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gather, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gcd_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ge_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geometric_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ger, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_greater_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_gt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_half, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_has_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_heaviside_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_hypot_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_i0_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_igammac_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_copy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inner, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ipu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_coalesced, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_contiguous, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_pinned, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_set_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_where, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_dtype_override, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cond, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_ldl_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lstsq, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_factor, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_factor_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_rank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_multi_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_pinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_triangular, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_svdvals, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_scaled_dot_product_attention, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_softplus, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__nn_softshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_airy_ai, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_j1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_y0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_bessel_y1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_chebyshev_polynomial_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_entr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfcx, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammainc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaincc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_gammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_h, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_hermite_polynomial_he, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i0e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_i1e, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_laguerre_polynomial_l, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_legendre_polynomial_p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_i1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_multigammaln, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_ndtri, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_psi, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_scaled_modified_bessel_k1, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_u, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_v, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_shifted_chebyshev_polynomial_w, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_spherical_bessel_j0, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlog1py, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__special_special_zeta, test/test_overrides.py::TestTorchFunctionOverride::test_torch__assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__conj_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__functional_assert_async, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fused_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__fw_primal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lobpcg_lobpcg, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_pca_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__lowrank_svd_lowrank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__make_dual_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__native_batch_norm_legit, test/test_overrides.py::TestTorchFunctionOverride::test_torch__neg_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__reshape_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__rowwise_prune, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sparse_broadcast_to_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_empty_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_float_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_scalar_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_mixed_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_nested_tuple_getitem, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_not_first_in_list, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_precedence_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_silu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_smooth_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_softsign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_tanhshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_triplet_margin_with_distance_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_constant_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes 2025-12-04T15:04:52.0383253Z 2025-12-04T15:04:52.0383588Z Finished test_overrides 1/1 ... [2025-12-04 15:04:51.924659][19927.674201488], took 0.19min 2025-12-04T15:04:52.0384752Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_overrides/test_overrides-2701ea3eccba9d1c.xml 2025-12-04T15:04:52.1288692Z Running test_torchfuzz_repros 1/1 ... [2025-12-04 15:04:52.128574][19927.878117215] 2025-12-04T15:04:52.1289338Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T15:04:52.1292845Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_torchfuzz_repros.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 15:04:52.129022] 2025-12-04T15:06:18.6604650Z 2025-12-04T15:06:18.6605567Z PRINTING LOG FILE of test_torchfuzz_repros 1/1 (test/test-reports/test_torchfuzz_repros_1.1_30749687cf75c600_.log) 2025-12-04T15:06:18.6606738Z Test results will be stored in test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-4a91e9e60ace047c.xml 2025-12-04T15:06:18.6607570Z ============================= test session starts ============================== 2025-12-04T15:06:18.6608277Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T15:06:18.6608880Z cachedir: .pytest_cache 2025-12-04T15:06:18.6609853Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T15:06:18.6610642Z rootdir: /var/lib/jenkins/workspace 2025-12-04T15:06:18.6610999Z configfile: pytest.ini 2025-12-04T15:06:18.6611859Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T15:06:18.6612724Z collecting ... collected 11 items 2025-12-04T15:06:18.6613207Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T15:06:18.6618122Z Running 11 items in this shard: test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_163877, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_163894, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164059, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164088, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164157, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164185, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164186, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164428_already_exists, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164484, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164486, test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 2025-12-04T15:06:18.6622838Z 2025-12-04T15:06:18.6623297Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_163877 XFAIL [6.0109s] (Issue #163877) [ 9%] 2025-12-04T15:06:18.6624350Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_163894 XFAIL [0.0023s] (Issue #163894) [ 18%] 2025-12-04T15:06:18.6625572Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164059 XFAIL [0.6958s] (Issue #164059) [ 27%] 2025-12-04T15:06:18.6626633Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164088 XFAIL [0.2427s] (Issue #164088) [ 36%] 2025-12-04T15:06:18.6627666Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164157 XFAIL [0.0023s] (Issue #164157) [ 45%] 2025-12-04T15:06:18.6628723Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164185 XFAIL [0.0051s] (Issue #164185) [ 54%] 2025-12-04T15:06:18.6629849Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164186 XFAIL [0.4742s] (Issue #164186) [ 63%] 2025-12-04T15:06:18.6630979Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164428_already_exists XFAIL [0.0019s] (Issue #164428) [ 72%] 2025-12-04T15:06:18.6632099Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164484 XFAIL [0.0020s] (Issue #164484) [ 81%] 2025-12-04T15:06:18.6633157Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_164486 XFAIL [0.0017s] (Issue #164486) [ 90%] 2025-12-04T15:06:18.6634615Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 W1204 15:05:07.709000 154168 site-packages/torch/_inductor/utils.py:1703] [4/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T15:06:18.6635735Z ('RERUN', {'yellow': True}) [4.1147s] [100%] 2025-12-04T15:06:18.6636472Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 ('RERUN', {'yellow': True}) [0.0048s] [100%] 2025-12-04T15:06:18.6637502Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 FAILED [0.0046s] [100%] 2025-12-04T15:06:18.6638048Z 2025-12-04T15:06:18.6638189Z ==================================== RERUNS ==================================== 2025-12-04T15:06:18.6638756Z _______________ TestFuzzerCompileIssues.test_fuzzer_issue_167937 _______________ 2025-12-04T15:06:18.6639282Z [XPASS(strict)] Issue #167937 2025-12-04T15:06:18.6639723Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6640421Z Eager Success! ✅ 2025-12-04T15:06:18.6640698Z Compile Success! ✅ 2025-12-04T15:06:18.6641086Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T15:06:18.6642199Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T15:06:18.6643187Z warnings.warn( 2025-12-04T15:06:18.6643614Z _______________ TestFuzzerCompileIssues.test_fuzzer_issue_167937 _______________ 2025-12-04T15:06:18.6644150Z [XPASS(strict)] Issue #167937 2025-12-04T15:06:18.6644580Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6645048Z Eager Success! ✅ 2025-12-04T15:06:18.6645329Z Compile Success! ✅ 2025-12-04T15:06:18.6645710Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T15:06:18.6646809Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T15:06:18.6647771Z warnings.warn( 2025-12-04T15:06:18.6648148Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6648624Z Eager Success! ✅ 2025-12-04T15:06:18.6648891Z Compile Success! ✅ 2025-12-04T15:06:18.6649201Z =================================== FAILURES =================================== 2025-12-04T15:06:18.6649774Z _______________ TestFuzzerCompileIssues.test_fuzzer_issue_167937 _______________ 2025-12-04T15:06:18.6650290Z [XPASS(strict)] Issue #167937 2025-12-04T15:06:18.6650719Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6651278Z Eager Success! ✅ 2025-12-04T15:06:18.6651569Z Compile Success! ✅ 2025-12-04T15:06:18.6651994Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T15:06:18.6653138Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T15:06:18.6654116Z warnings.warn( 2025-12-04T15:06:18.6654478Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6654963Z Eager Success! ✅ 2025-12-04T15:06:18.6655243Z Compile Success! ✅ 2025-12-04T15:06:18.6655620Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6656126Z Eager Success! ✅ 2025-12-04T15:06:18.6656403Z Compile Success! ✅ 2025-12-04T15:06:18.6657263Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-4a91e9e60ace047c.xml - 2025-12-04T15:06:18.6658256Z =========================== short test summary info ============================ 2025-12-04T15:06:18.6658935Z FAILED [0.0046s] test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 2025-12-04T15:06:18.6659618Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T15:06:18.6660140Z =================== 1 failed, 10 xfailed, 2 rerun in 11.65s ==================== 2025-12-04T15:06:18.6660564Z Got exit code 1 2025-12-04T15:06:18.6660840Z Retrying single test... 2025-12-04T15:06:18.6661538Z Test results will be stored in test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-1593bd17b8b3a986.xml 2025-12-04T15:06:18.6662346Z ============================= test session starts ============================== 2025-12-04T15:06:18.6663008Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T15:06:18.6663614Z cachedir: .pytest_cache 2025-12-04T15:06:18.6664325Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T15:06:18.6665099Z rootdir: /var/lib/jenkins/workspace 2025-12-04T15:06:18.6665450Z configfile: pytest.ini 2025-12-04T15:06:18.6666227Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T15:06:18.6667198Z collecting ... collected 11 items / 10 deselected / 1 selected 2025-12-04T15:06:18.6668134Z stepcurrent: skipping 10 already run items. Running only test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 2025-12-04T15:06:18.6668973Z Running 1 items in this shard 2025-12-04T15:06:18.6669181Z 2025-12-04T15:06:18.6670103Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 [W1204 15:05:22.324676973 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6671137Z 2025-12-04T15:06:18.6671661Z [W1204 15:05:38.111117494 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6672324Z 2025-12-04T15:06:18.6672843Z [W1204 15:05:38.115370315 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6673509Z 2025-12-04T15:06:18.6674022Z [W1204 15:05:38.115575680 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6674680Z 2025-12-04T15:06:18.6675191Z [W1204 15:05:38.116215993 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6675842Z 2025-12-04T15:06:18.6676369Z [W1204 15:05:38.116390298 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6677019Z 2025-12-04T15:06:18.6677547Z [W1204 15:05:38.116862237 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6678229Z 2025-12-04T15:06:18.6678779Z [W1204 15:05:38.117028733 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6679445Z 2025-12-04T15:06:18.6679956Z [W1204 15:05:38.117553728 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6680612Z 2025-12-04T15:06:18.6681123Z [W1204 15:05:38.117715722 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6681807Z 2025-12-04T15:06:18.6682287Z W1204 15:05:39.037000 154250 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T15:06:18.6683011Z ('RERUN', {'yellow': True}) [25.3943s] [100%] 2025-12-04T15:06:18.6683768Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 ('RERUN', {'yellow': True}) [0.0055s] [100%] 2025-12-04T15:06:18.6684935Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 FAILED [0.0046s] [100%] 2025-12-04T15:06:18.6685473Z 2025-12-04T15:06:18.6685625Z ==================================== RERUNS ==================================== 2025-12-04T15:06:18.6686175Z _______________ TestFuzzerCompileIssues.test_fuzzer_issue_167937 _______________ 2025-12-04T15:06:18.6686710Z [XPASS(strict)] Issue #167937 2025-12-04T15:06:18.6687146Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6687659Z Eager Success! ✅ 2025-12-04T15:06:18.6687933Z Compile Success! ✅ 2025-12-04T15:06:18.6688315Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T15:06:18.6689902Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T15:06:18.6691447Z if out == self.unknown_value: 2025-12-04T15:06:18.6692397Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T15:06:18.6693428Z warnings.warn( 2025-12-04T15:06:18.6693872Z _______________ TestFuzzerCompileIssues.test_fuzzer_issue_167937 _______________ 2025-12-04T15:06:18.6694398Z [XPASS(strict)] Issue #167937 2025-12-04T15:06:18.6694831Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6695328Z Eager Success! ✅ 2025-12-04T15:06:18.6695611Z Compile Success! ✅ 2025-12-04T15:06:18.6695984Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T15:06:18.6697561Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T15:06:18.6699019Z if out == self.unknown_value: 2025-12-04T15:06:18.6699965Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T15:06:18.6700935Z warnings.warn( 2025-12-04T15:06:18.6701318Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6701800Z Eager Success! ✅ 2025-12-04T15:06:18.6702074Z Compile Success! ✅ 2025-12-04T15:06:18.6702387Z =================================== FAILURES =================================== 2025-12-04T15:06:18.6702952Z _______________ TestFuzzerCompileIssues.test_fuzzer_issue_167937 _______________ 2025-12-04T15:06:18.6703468Z [XPASS(strict)] Issue #167937 2025-12-04T15:06:18.6703899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6704372Z Eager Success! ✅ 2025-12-04T15:06:18.6704814Z Compile Success! ✅ 2025-12-04T15:06:18.6705360Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T15:06:18.6706943Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T15:06:18.6708399Z if out == self.unknown_value: 2025-12-04T15:06:18.6709339Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T15:06:18.6710371Z warnings.warn( 2025-12-04T15:06:18.6710751Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6711233Z Eager Success! ✅ 2025-12-04T15:06:18.6711502Z Compile Success! ✅ 2025-12-04T15:06:18.6711883Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6712365Z Eager Success! ✅ 2025-12-04T15:06:18.6712629Z Compile Success! ✅ 2025-12-04T15:06:18.6713492Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-1593bd17b8b3a986.xml - 2025-12-04T15:06:18.6714496Z =========================== short test summary info ============================ 2025-12-04T15:06:18.6715174Z FAILED [0.0046s] test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 2025-12-04T15:06:18.6715841Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T15:06:18.6716359Z ================== 1 failed, 10 deselected, 2 rerun in 25.47s ================== 2025-12-04T15:06:18.6716801Z Got exit code 1 2025-12-04T15:06:18.6717057Z Retrying single test... 2025-12-04T15:06:18.6717760Z Test results will be stored in test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-d0bbbe8e0021a041.xml 2025-12-04T15:06:18.6718589Z ============================= test session starts ============================== 2025-12-04T15:06:18.6719258Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T15:06:18.6719898Z cachedir: .pytest_cache 2025-12-04T15:06:18.6720603Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T15:06:18.6721386Z rootdir: /var/lib/jenkins/workspace 2025-12-04T15:06:18.6721726Z configfile: pytest.ini 2025-12-04T15:06:18.6722504Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T15:06:18.6723452Z collecting ... collected 11 items / 10 deselected / 1 selected 2025-12-04T15:06:18.6724387Z stepcurrent: skipping 10 already run items. Running only test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 2025-12-04T15:06:18.6725210Z Running 1 items in this shard 2025-12-04T15:06:18.6725431Z 2025-12-04T15:06:18.6726343Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 [W1204 15:05:54.346944491 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6727393Z 2025-12-04T15:06:18.6727913Z [W1204 15:06:10.100028279 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6728568Z 2025-12-04T15:06:18.6729099Z [W1204 15:06:10.104309426 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6729750Z 2025-12-04T15:06:18.6730274Z [W1204 15:06:10.104516785 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6730921Z 2025-12-04T15:06:18.6731548Z [W1204 15:06:10.105146456 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6732217Z 2025-12-04T15:06:18.6732776Z [W1204 15:06:10.105316920 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6733446Z 2025-12-04T15:06:18.6733958Z [W1204 15:06:10.105794707 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6734609Z 2025-12-04T15:06:18.6735137Z [W1204 15:06:10.105962633 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6735821Z 2025-12-04T15:06:18.6736355Z [W1204 15:06:10.106500451 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6737008Z 2025-12-04T15:06:18.6737522Z [W1204 15:06:10.106662746 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T15:06:18.6738192Z 2025-12-04T15:06:18.6738663Z W1204 15:06:11.031000 154333 site-packages/torch/_inductor/utils.py:1703] [0/0] Not enough SMs to use max_autotune_gemm mode 2025-12-04T15:06:18.6739405Z ('RERUN', {'yellow': True}) [25.4346s] [100%] 2025-12-04T15:06:18.6740157Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 ('RERUN', {'yellow': True}) [0.0061s] [100%] 2025-12-04T15:06:18.6741168Z test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 FAILED [0.0052s] [100%] 2025-12-04T15:06:18.6741715Z 2025-12-04T15:06:18.6741855Z ==================================== RERUNS ==================================== 2025-12-04T15:06:18.6742419Z _______________ TestFuzzerCompileIssues.test_fuzzer_issue_167937 _______________ 2025-12-04T15:06:18.6742952Z [XPASS(strict)] Issue #167937 2025-12-04T15:06:18.6743369Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6743886Z Eager Success! ✅ 2025-12-04T15:06:18.6744172Z Compile Success! ✅ 2025-12-04T15:06:18.6744543Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T15:06:18.6746160Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T15:06:18.6747626Z if out == self.unknown_value: 2025-12-04T15:06:18.6748586Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T15:06:18.6749542Z warnings.warn( 2025-12-04T15:06:18.6749988Z _______________ TestFuzzerCompileIssues.test_fuzzer_issue_167937 _______________ 2025-12-04T15:06:18.6750520Z [XPASS(strict)] Issue #167937 2025-12-04T15:06:18.6750965Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6751439Z Eager Success! ✅ 2025-12-04T15:06:18.6751726Z Compile Success! ✅ 2025-12-04T15:06:18.6752120Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T15:06:18.6753699Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T15:06:18.6755148Z if out == self.unknown_value: 2025-12-04T15:06:18.6756105Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T15:06:18.6757078Z warnings.warn( 2025-12-04T15:06:18.6757466Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6757939Z Eager Success! ✅ 2025-12-04T15:06:18.6758226Z Compile Success! ✅ 2025-12-04T15:06:18.6758579Z =================================== FAILURES =================================== 2025-12-04T15:06:18.6759172Z _______________ TestFuzzerCompileIssues.test_fuzzer_issue_167937 _______________ 2025-12-04T15:06:18.6759709Z [XPASS(strict)] Issue #167937 2025-12-04T15:06:18.6760141Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6760614Z Eager Success! ✅ 2025-12-04T15:06:18.6760901Z Compile Success! ✅ 2025-12-04T15:06:18.6761282Z ----------------------------- Captured stderr call ----------------------------- 2025-12-04T15:06:18.6762888Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/constant_folding.py:256: UserWarning: Unsupported unwinding pattern: Address not in range (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/profiler/unwind/unwind.cpp:219.) 2025-12-04T15:06:18.6764332Z if out == self.unknown_value: 2025-12-04T15:06:18.6765285Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py:2891: UserWarning: Tesla T4 does not support bfloat16 compilation natively, skipping 2025-12-04T15:06:18.6766262Z warnings.warn( 2025-12-04T15:06:18.6766645Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6767111Z Eager Success! ✅ 2025-12-04T15:06:18.6767392Z Compile Success! ✅ 2025-12-04T15:06:18.6767899Z ----------------------------- Captured stdout call ----------------------------- 2025-12-04T15:06:18.6768379Z Eager Success! ✅ 2025-12-04T15:06:18.6768662Z Compile Success! ✅ 2025-12-04T15:06:18.6769531Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-d0bbbe8e0021a041.xml - 2025-12-04T15:06:18.6770523Z =========================== short test summary info ============================ 2025-12-04T15:06:18.6771262Z FAILED [0.0052s] test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 2025-12-04T15:06:18.6771943Z !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! 2025-12-04T15:06:18.6772478Z ================== 1 failed, 10 deselected, 2 rerun in 25.51s ================== 2025-12-04T15:06:18.6773064Z Got exit code 1 2025-12-04T15:06:18.6773652Z FAILED CONSISTENTLY: test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937 2025-12-04T15:06:18.6774619Z Test failed consistently, continuing with the rest of the tests due to continue-through-error being set 2025-12-04T15:06:18.6775670Z Test results will be stored in test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-37bb3d2dfcd00c4a.xml 2025-12-04T15:06:18.6776493Z ============================= test session starts ============================== 2025-12-04T15:06:18.6777152Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T15:06:18.6777755Z cachedir: .pytest_cache 2025-12-04T15:06:18.6778450Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T15:06:18.6779238Z rootdir: /var/lib/jenkins/workspace 2025-12-04T15:06:18.6779592Z configfile: pytest.ini 2025-12-04T15:06:18.6780359Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T15:06:18.6781302Z collecting ... collected 11 items / 11 deselected / 0 selected 2025-12-04T15:06:18.6781795Z stepcurrent: skipping 11 already run items. 2025-12-04T15:06:18.6782180Z Running 0 items in this shard 2025-12-04T15:06:18.6782394Z 2025-12-04T15:06:18.6783086Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-37bb3d2dfcd00c4a.xml - 2025-12-04T15:06:18.6784081Z ============================ 11 deselected in 0.05s ============================ 2025-12-04T15:06:18.6784924Z The following tests failed consistently: ['test/test_torchfuzz_repros.py::TestFuzzerCompileIssues::test_fuzzer_issue_167937'] 2025-12-04T15:06:18.6785585Z 2025-12-04T15:06:18.6786172Z FINISHED PRINTING LOG FILE of test_torchfuzz_repros 1/1 (test/test-reports/test_torchfuzz_repros_1.1_30749687cf75c600_.log) 2025-12-04T15:06:18.6786801Z 2025-12-04T15:06:18.6787130Z Finished test_torchfuzz_repros 1/1 ... [2025-12-04 15:06:18.660337][20014.409880818], took 1.44min 2025-12-04T15:06:18.6868988Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-4a91e9e60ace047c.xml 2025-12-04T15:06:18.7566718Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-1593bd17b8b3a986.xml 2025-12-04T15:06:18.7899320Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-d0bbbe8e0021a041.xml 2025-12-04T15:06:18.8144121Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_torchfuzz_repros/test_torchfuzz_repros-37bb3d2dfcd00c4a.xml 2025-12-04T15:06:20.1596117Z Uploading logs for 57119749297 to S3 2025-12-04T15:06:20.4979794Z Uploading artifacts took 1.66 seconds 2025-12-04T15:06:20.4980214Z test_torchfuzz_repros 1/1 failed! 2025-12-04T15:06:20.4984556Z Running doctests 1/1 ... [2025-12-04 15:06:20.498279][20016.247824318] 2025-12-04T15:06:21.0583104Z msg = Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T15:06:21.0584132Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:21.0584818Z Registers the function implementation as the fallback for the given key. 2025-12-04T15:06:21.0585241Z 2025-12-04T15:06:21.0585489Z This function only works for a library with global namespace ("_"). 2025-12-04T15:06:21.0585870Z 2025-12-04T15:06:21.0585978Z Args: 2025-12-04T15:06:21.0586440Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T15:06:21.0587037Z to register a fallthrough. 2025-12-04T15:06:21.0587835Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T15:06:21.0588539Z the dispatch key that the library was created with. 2025-12-04T15:06:21.0589278Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T15:06:21.0590226Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T15:06:21.0590744Z 2025-12-04T15:06:21.0590864Z Example:: 2025-12-04T15:06:21.0591020Z 2025-12-04T15:06:21.0591155Z >>> my_lib = Library("_", "IMPL") 2025-12-04T15:06:21.0591544Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T15:06:21.0591970Z >>> # Handle all autocast ops generically 2025-12-04T15:06:21.0592353Z >>> # ... 2025-12-04T15:06:21.0592699Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T15:06:21.0593088Z 2025-12-04T15:06:21.0593951Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T15:06:21.0594807Z 2025-12-04T15:06:21.0594963Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T15:06:21.0595312Z ^ 2025-12-04T15:06:21.0744282Z msg = Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T15:06:21.0745471Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:21.0746370Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T15:06:21.0747021Z 2025-12-04T15:06:21.0747331Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T15:06:21.0747706Z 2025-12-04T15:06:21.0748190Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T15:06:21.0748872Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T15:06:21.0749546Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T15:06:21.0750095Z what the properties of the output Tensors are. 2025-12-04T15:06:21.0750395Z 2025-12-04T15:06:21.0750655Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T15:06:21.0751358Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T15:06:21.0751964Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T15:06:21.0752580Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T15:06:21.0753178Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T15:06:21.0753814Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T15:06:21.0754421Z (and may not directly access the storage or data of any input or 2025-12-04T15:06:21.0754894Z intermediate Tensors). 2025-12-04T15:06:21.0755092Z 2025-12-04T15:06:21.0755272Z This API may be used as a decorator (see examples). 2025-12-04T15:06:21.0755564Z 2025-12-04T15:06:21.0755758Z For a detailed guide on custom ops, please see 2025-12-04T15:06:21.0756308Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T15:06:21.0756717Z 2025-12-04T15:06:21.0756809Z Args: 2025-12-04T15:06:21.0757196Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T15:06:21.0757716Z func: Fake tensor implementation. 2025-12-04T15:06:21.0758185Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T15:06:21.0758753Z allow_override: Flag controlling if we want to override an 2025-12-04T15:06:21.0759294Z existing registered fake impl. This is by default off, 2025-12-04T15:06:21.0759816Z and will error you're trying to register a fake impl to 2025-12-04T15:06:21.0760404Z an operator that already has a fake impl. This also only 2025-12-04T15:06:21.0760920Z applies if the custom operator was not created via 2025-12-04T15:06:21.0761454Z torch.library.custom_op, as overriding and existing fake 2025-12-04T15:06:21.0761921Z impl is already allowed. 2025-12-04T15:06:21.0762195Z 2025-12-04T15:06:21.0762296Z Examples: 2025-12-04T15:06:21.0762553Z >>> import torch 2025-12-04T15:06:21.0762842Z >>> import numpy as np 2025-12-04T15:06:21.0763168Z >>> from torch import Tensor 2025-12-04T15:06:21.0763495Z >>> 2025-12-04T15:06:21.0763827Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T15:06:21.0764433Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T15:06:21.0765059Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T15:06:21.0765650Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T15:06:21.0766065Z >>> 2025-12-04T15:06:21.0766390Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T15:06:21.0766823Z >>> def _(x, weight, bias): 2025-12-04T15:06:21.0767149Z >>> assert x.dim() == 2 2025-12-04T15:06:21.0767496Z >>> assert weight.dim() == 2 2025-12-04T15:06:21.0767855Z >>> assert bias.dim() == 1 2025-12-04T15:06:21.0768228Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T15:06:21.0768628Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T15:06:21.0769033Z >>> assert x.device == weight.device 2025-12-04T15:06:21.0769387Z >>> 2025-12-04T15:06:21.0769631Z >>> return (x @ weight.t()) + bias 2025-12-04T15:06:21.0769982Z >>> 2025-12-04T15:06:21.0770386Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T15:06:21.0770820Z >>> x = torch.randn(2, 3) 2025-12-04T15:06:21.0771256Z >>> w = torch.randn(3, 3) 2025-12-04T15:06:21.0771617Z >>> b = torch.randn(3) 2025-12-04T15:06:21.0771977Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T15:06:21.0772354Z >>> 2025-12-04T15:06:21.0772604Z >>> assert y.shape == (2, 3) 2025-12-04T15:06:21.0772976Z >>> 2025-12-04T15:06:21.0773295Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T15:06:21.0773883Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T15:06:21.0774419Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T15:06:21.0774808Z >>> x_np = x.numpy(force=True) 2025-12-04T15:06:21.0775206Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T15:06:21.0775636Z >>> return torch.tensor(res, device=x.device) 2025-12-04T15:06:21.0776000Z >>> 2025-12-04T15:06:21.0776330Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T15:06:21.0776757Z >>> def _(x): 2025-12-04T15:06:21.0777095Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T15:06:21.0777551Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T15:06:21.0778033Z >>> # we use the ctx object to construct a new symint that 2025-12-04T15:06:21.0778488Z >>> # represents the data-dependent size. 2025-12-04T15:06:21.0778881Z >>> ctx = torch.library.get_ctx() 2025-12-04T15:06:21.0779265Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T15:06:21.0779630Z >>> shape = [nnz, x.dim()] 2025-12-04T15:06:21.0780018Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T15:06:21.0780430Z >>> return result 2025-12-04T15:06:21.0780727Z >>> 2025-12-04T15:06:21.0781070Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T15:06:21.0781491Z >>> 2025-12-04T15:06:21.0781795Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T15:06:21.0782327Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T15:06:21.0782860Z >>> trace.print_readable() 2025-12-04T15:06:21.0783189Z >>> 2025-12-04T15:06:21.0783581Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T15:06:21.0783973Z 2025-12-04T15:06:21.0784062Z 2025-12-04T15:06:21.0784805Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T15:06:21.0785555Z 2025-12-04T15:06:21.0785647Z _._ = None 2025-12-04T15:06:21.0785871Z ^ 2025-12-04T15:06:21.0902914Z msg = Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T15:06:21.0903891Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:21.0904733Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T15:06:21.0905109Z 2025-12-04T15:06:21.0905378Z This function retrieves the kernel that would be executed for a given 2025-12-04T15:06:21.0906027Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T15:06:21.0906671Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T15:06:21.0907260Z case for this function is to retrieve the original kernel for a given 2025-12-04T15:06:21.0907915Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T15:06:21.0908493Z that calls into the original kernel for certain cases. 2025-12-04T15:06:21.0908805Z 2025-12-04T15:06:21.0908913Z Args: 2025-12-04T15:06:21.0909263Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T15:06:21.0909993Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T15:06:21.0910741Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T15:06:21.0911398Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T15:06:21.0911749Z 2025-12-04T15:06:21.0911844Z Returns: 2025-12-04T15:06:21.0912268Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T15:06:21.0912843Z call the kernel. 2025-12-04T15:06:21.0913042Z 2025-12-04T15:06:21.0913139Z Raises: 2025-12-04T15:06:21.0913441Z RuntimeError: If the operator does not exist. 2025-12-04T15:06:21.0913741Z 2025-12-04T15:06:21.0913837Z Example: 2025-12-04T15:06:21.0914112Z >>> # Get the CPU kernel for torch.add 2025-12-04T15:06:21.0914584Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T15:06:21.0915032Z >>> 2025-12-04T15:06:21.0915305Z >>> # You can also use DispatchKey enum 2025-12-04T15:06:21.0915854Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T15:06:21.0916392Z >>> 2025-12-04T15:06:21.0916650Z >>> # Or use an OpOverload directly 2025-12-04T15:06:21.0917143Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T15:06:21.0917626Z >>> 2025-12-04T15:06:21.0918000Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T15:06:21.0918515Z >>> # Get the original kernel for torch.sin 2025-12-04T15:06:21.0919020Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T15:06:21.0919497Z >>> 2025-12-04T15:06:21.0919887Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T15:06:21.0920426Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T15:06:21.0920817Z >>> if (x < 0).any(): 2025-12-04T15:06:21.0921241Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T15:06:21.0921730Z >>> else: 2025-12-04T15:06:21.0922017Z >>> return torch.zeros_like(x) 2025-12-04T15:06:21.0922368Z >>> 2025-12-04T15:06:21.0922661Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T15:06:21.0923223Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T15:06:21.0923874Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T15:06:21.0924444Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T15:06:21.0924877Z >>> 2025-12-04T15:06:21.0925137Z >>> # Test the conditional behavior 2025-12-04T15:06:21.0925522Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T15:06:21.0925914Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T15:06:21.0926280Z >>> torch.sin(x_positive) 2025-12-04T15:06:21.0926604Z tensor([0., 0.]) 2025-12-04T15:06:21.0926903Z >>> torch.sin(x_mixed) 2025-12-04T15:06:21.0927208Z tensor([-0.8415, 0.9093]) 2025-12-04T15:06:21.0927513Z 2025-12-04T15:06:21.0928196Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T15:06:21.0928879Z 2025-12-04T15:06:21.0929079Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T15:06:21.0929515Z ^ 2025-12-04T15:06:21.5244965Z msg = Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T15:06:21.5246037Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:21.5246739Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T15:06:21.5247628Z required drivers are available and at least one device is visible. 2025-12-04T15:06:21.5248255Z See :ref:`accelerator` for details. 2025-12-04T15:06:21.5248560Z 2025-12-04T15:06:21.5248657Z Returns: 2025-12-04T15:06:21.5249126Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T15:06:21.5249595Z 2025-12-04T15:06:21.5249890Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T15:06:21.5250620Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T15:06:21.5251486Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T15:06:21.5252082Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T15:06:21.5252383Z 2025-12-04T15:06:21.5252486Z Example:: 2025-12-04T15:06:21.5252629Z 2025-12-04T15:06:21.5252949Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T15:06:21.5253483Z 2025-12-04T15:06:21.5254265Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T15:06:21.5255052Z 2025-12-04T15:06:21.5255344Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T15:06:21.5255888Z ^ 2025-12-04T15:06:21.5281989Z msg = Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T15:06:21.5283031Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:21.5283692Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T15:06:21.5284056Z 2025-12-04T15:06:21.5284162Z Args: 2025-12-04T15:06:21.5284652Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T15:06:21.5285425Z the current :ref:`accelerator` device type. If not given, 2025-12-04T15:06:21.5286062Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T15:06:21.5286517Z 2025-12-04T15:06:21.5286907Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T15:06:21.5287400Z 2025-12-04T15:06:21.5287498Z Example:: 2025-12-04T15:06:21.5287657Z 2025-12-04T15:06:21.5287811Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T15:06:21.5288408Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T15:06:21.5289016Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T15:06:21.5289445Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T15:06:21.5289851Z >>> start_event.record() 2025-12-04T15:06:21.5290340Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T15:06:21.5290861Z >>> sum = torch.sum(tensor) 2025-12-04T15:06:21.5291276Z >>> end_event.record() 2025-12-04T15:06:21.5291634Z >>> torch.accelerator.synchronize() 2025-12-04T15:06:21.5292080Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T15:06:21.5292508Z 2025-12-04T15:06:21.5293291Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T15:06:21.5294069Z 2025-12-04T15:06:21.5294380Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T15:06:21.5294917Z ^ 2025-12-04T15:06:21.5609165Z msg = Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T15:06:21.5610153Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:21.5610715Z Retrieves the CUDA runtime API module. 2025-12-04T15:06:21.5611091Z 2025-12-04T15:06:21.5611098Z 2025-12-04T15:06:21.5611608Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T15:06:21.5612308Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T15:06:21.5612968Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T15:06:21.5613359Z 2025-12-04T15:06:21.5613469Z Args: 2025-12-04T15:06:21.5613695Z ``None`` 2025-12-04T15:06:21.5613915Z 2025-12-04T15:06:21.5614011Z Returns: 2025-12-04T15:06:21.5614324Z module: The CUDA runtime API module (_cudart). 2025-12-04T15:06:21.5614612Z 2025-12-04T15:06:21.5614708Z Raises: 2025-12-04T15:06:21.5615115Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T15:06:21.5615936Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T15:06:21.5616484Z 2025-12-04T15:06:21.5616650Z Example of CUDA operations with profiling: 2025-12-04T15:06:21.5617022Z >>> import torch 2025-12-04T15:06:21.5617364Z >>> from torch.cuda import cudart, check_error 2025-12-04T15:06:21.5617749Z >>> import os 2025-12-04T15:06:21.5618003Z >>> 2025-12-04T15:06:21.5618288Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T15:06:21.5618642Z >>> 2025-12-04T15:06:21.5618931Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T15:06:21.5619334Z >>> stream = torch.cuda.Stream() 2025-12-04T15:06:21.5619728Z >>> with torch.cuda.stream(stream): 2025-12-04T15:06:21.5620136Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T15:06:21.5620539Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T15:06:21.5620928Z >>> z = torch.mul(x, y) 2025-12-04T15:06:21.5621273Z >>> return z 2025-12-04T15:06:21.5621538Z >>> 2025-12-04T15:06:21.5621801Z >>> torch.cuda.synchronize() 2025-12-04T15:06:21.5622190Z >>> print("====== Start nsys profiling ======") 2025-12-04T15:06:21.5622686Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T15:06:21.5623115Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T15:06:21.5623574Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T15:06:21.5624023Z >>> print("CUDA operations completed.") 2025-12-04T15:06:21.5624471Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T15:06:21.5624936Z >>> print("====== End nsys profiling ======") 2025-12-04T15:06:21.5625205Z 2025-12-04T15:06:21.5625441Z To run this example and save the profiling information, execute: 2025-12-04T15:06:21.5626213Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T15:06:21.5626778Z 2025-12-04T15:06:21.5627056Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T15:06:21.5627701Z the profiling information to a file named `trace_name.prof`. 2025-12-04T15:06:21.5628345Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T15:06:21.5628906Z after the `cudaProfilerStart` call in the script. 2025-12-04T15:06:21.5629459Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T15:06:21.5630007Z CSV file and print a summary, respectively. 2025-12-04T15:06:21.5630571Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T15:06:21.5631158Z overwrite of the output file if it already exists. 2025-12-04T15:06:21.5631564Z 2025-12-04T15:06:21.5632449Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-12-04T15:06:21.5633329Z 2025-12-04T15:06:21.5633767Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T15:06:21.5634402Z ^ 2025-12-04T15:06:23.0825572Z msg = Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T15:06:23.0826736Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:23.0827157Z 2025-12-04T15:06:23.0827471Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T15:06:23.0828167Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T15:06:23.0828775Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T15:06:23.0829272Z vectorizing those operations. 2025-12-04T15:06:23.0829503Z 2025-12-04T15:06:23.0829743Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T15:06:23.0830351Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T15:06:23.0830963Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T15:06:23.0831518Z compute batched gradients when composed with autograd. 2025-12-04T15:06:23.0831850Z 2025-12-04T15:06:23.0831961Z .. note:: 2025-12-04T15:06:23.0832312Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T15:06:23.0832789Z convenience. Use whichever one you'd like. 2025-12-04T15:06:23.0833070Z 2025-12-04T15:06:23.0833160Z Args: 2025-12-04T15:06:23.0833528Z func (function): A Python function that takes one or more arguments. 2025-12-04T15:06:23.0834017Z Must return one or more Tensors. 2025-12-04T15:06:23.0834493Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T15:06:23.0835048Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T15:06:23.0835598Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T15:06:23.0836147Z input is None, then that indicates there is no map dimension. 2025-12-04T15:06:23.0836597Z Default: 0. 2025-12-04T15:06:23.0836986Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T15:06:23.0837628Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T15:06:23.0838160Z it should have one element per output. Default: 0. 2025-12-04T15:06:23.0838679Z randomness (str): Specifies whether the randomness in this 2025-12-04T15:06:23.0839262Z vmap should be the same or different across batches. If 'different', 2025-12-04T15:06:23.0839864Z the randomness for each batch will be different. If 'same', the 2025-12-04T15:06:23.0840472Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T15:06:23.0841091Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T15:06:23.0841682Z only applies to random PyTorch operations and does not apply to 2025-12-04T15:06:23.0842198Z Python's random module or numpy randomness. 2025-12-04T15:06:23.0842744Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T15:06:23.0843392Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T15:06:23.0844061Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T15:06:23.0844797Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T15:06:23.0845237Z 2025-12-04T15:06:23.0845344Z Returns: 2025-12-04T15:06:23.0845683Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T15:06:23.0846259Z ``func``, except each input has an extra dimension at the index 2025-12-04T15:06:23.0846819Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T15:06:23.0847365Z ``func``, except each output has an extra dimension at the index 2025-12-04T15:06:23.0847830Z specified by ``out_dims``. 2025-12-04T15:06:23.0848039Z 2025-12-04T15:06:23.0848148Z .. warning: 2025-12-04T15:06:23.0848603Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T15:06:23.0849183Z perform any side-effects in ``func``, with the exception of 2025-12-04T15:06:23.0849803Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T15:06:23.0850469Z Python data structures and assigning values to variables not captured 2025-12-04T15:06:23.0850954Z in ``func``. 2025-12-04T15:06:23.0851123Z 2025-12-04T15:06:23.0851527Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T15:06:23.0852191Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T15:06:23.0852814Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T15:06:23.0853213Z 2025-12-04T15:06:23.0853351Z >>> torch.dot # [D], [D] -> [] 2025-12-04T15:06:23.0853815Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T15:06:23.0854333Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T15:06:23.0854708Z >>> batched_dot(x, y) 2025-12-04T15:06:23.0854916Z 2025-12-04T15:06:23.0855173Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T15:06:23.0855687Z model authoring experience. 2025-12-04T15:06:23.0855893Z 2025-12-04T15:06:23.0856014Z >>> batch_size, feature_size = 3, 5 2025-12-04T15:06:23.0856457Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T15:06:23.0856890Z >>> 2025-12-04T15:06:23.0857122Z >>> def model(feature_vec): 2025-12-04T15:06:23.0857479Z >>> # Very simple linear model with activation 2025-12-04T15:06:23.0857893Z >>> return feature_vec.dot(weights).relu() 2025-12-04T15:06:23.0858257Z >>> 2025-12-04T15:06:23.0858535Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T15:06:23.0858967Z >>> result = torch.vmap(model)(examples) 2025-12-04T15:06:23.0859219Z 2025-12-04T15:06:23.0859517Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T15:06:23.0860190Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T15:06:23.0860907Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T15:06:23.0861560Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T15:06:23.0862237Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T15:06:23.0863046Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T15:06:23.0863998Z call to ``autograd.grad``. 2025-12-04T15:06:23.0864387Z 2025-12-04T15:06:23.0864529Z >>> # Setup 2025-12-04T15:06:23.0864767Z >>> N = 5 2025-12-04T15:06:23.0865017Z >>> f = lambda x: x**2 2025-12-04T15:06:23.0865344Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T15:06:23.0865691Z >>> y = f(x) 2025-12-04T15:06:23.0865954Z >>> I_N = torch.eye(N) 2025-12-04T15:06:23.0866235Z >>> 2025-12-04T15:06:23.0866467Z >>> # Sequential approach 2025-12-04T15:06:23.0866926Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T15:06:23.0867435Z >>> for v in I_N.unbind()] 2025-12-04T15:06:23.0867826Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T15:06:23.0868169Z >>> 2025-12-04T15:06:23.0868430Z >>> # vectorized gradient computation 2025-12-04T15:06:23.0868792Z >>> def get_vjp(v): 2025-12-04T15:06:23.0869095Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T15:06:23.0869495Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T15:06:23.0869745Z 2025-12-04T15:06:23.0870056Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T15:06:23.0870491Z 2025-12-04T15:06:23.0870617Z >>> torch.dot # [D], [D] -> [] 2025-12-04T15:06:23.0870950Z >>> batched_dot = torch.vmap( 2025-12-04T15:06:23.0871287Z ... torch.vmap(torch.dot) 2025-12-04T15:06:23.0871701Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T15:06:23.0872146Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T15:06:23.0872576Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T15:06:23.0872842Z 2025-12-04T15:06:23.0873124Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T15:06:23.0873693Z the dimension that each inputs are batched along as 2025-12-04T15:06:23.0874003Z 2025-12-04T15:06:23.0874116Z >>> torch.dot # [N], [N] -> [] 2025-12-04T15:06:23.0874630Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T15:06:23.0875155Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T15:06:23.0875513Z >>> batched_dot( 2025-12-04T15:06:23.0875779Z ... x, y 2025-12-04T15:06:23.0876148Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T15:06:23.0876496Z 2025-12-04T15:06:23.0876792Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T15:06:23.0877456Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T15:06:23.0877829Z 2025-12-04T15:06:23.0877941Z >>> torch.dot # [D], [D] -> [] 2025-12-04T15:06:23.0878433Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T15:06:23.0878959Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T15:06:23.0879321Z >>> batched_dot( 2025-12-04T15:06:23.0879580Z ... x, y 2025-12-04T15:06:23.0879938Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T15:06:23.0880299Z 2025-12-04T15:06:23.0880564Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T15:06:23.0881093Z matching the shape of the input: 2025-12-04T15:06:23.0881312Z 2025-12-04T15:06:23.0881477Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T15:06:23.0881881Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T15:06:23.0882261Z >>> input = {"x": x, "y": y} 2025-12-04T15:06:23.0882682Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T15:06:23.0883158Z >>> batched_dot(input) 2025-12-04T15:06:23.0883362Z 2025-12-04T15:06:23.0883671Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T15:06:23.0884260Z along any dimension by using ``out_dims`` 2025-12-04T15:06:23.0884515Z 2025-12-04T15:06:23.0884633Z >>> f = lambda x: x**2 2025-12-04T15:06:23.0884924Z >>> x = torch.randn(2, 5) 2025-12-04T15:06:23.0885271Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T15:06:23.0885649Z >>> batched_pow(x) # [5, 2] 2025-12-04T15:06:23.0898427Z 2025-12-04T15:06:23.0898930Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T15:06:23.0899520Z accept kwargs 2025-12-04T15:06:23.0899689Z 2025-12-04T15:06:23.0899807Z >>> x = torch.randn([2, 5]) 2025-12-04T15:06:23.0900158Z >>> def fn(x, scale=4.): 2025-12-04T15:06:23.0900468Z >>> return x * scale 2025-12-04T15:06:23.0900775Z >>> 2025-12-04T15:06:23.0901066Z >>> batched_pow = torch.vmap(fn) 2025-12-04T15:06:23.0901465Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T15:06:23.0902028Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T15:06:23.0902443Z 2025-12-04T15:06:23.0902553Z .. note:: 2025-12-04T15:06:23.0902952Z vmap does not provide general autobatching or handle variable-length 2025-12-04T15:06:23.0903460Z sequences out of the box. 2025-12-04T15:06:23.0903693Z 2025-12-04T15:06:23.0904303Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T15:06:23.0905230Z 2025-12-04T15:06:23.0905327Z _._ = None 2025-12-04T15:06:23.0905564Z ^ 2025-12-04T15:06:23.0906421Z msg = Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T15:06:23.0907436Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:23.0908141Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T15:06:23.0908779Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T15:06:23.0909262Z compute higher-order gradients. 2025-12-04T15:06:23.0909519Z 2025-12-04T15:06:23.0909614Z Args: 2025-12-04T15:06:23.0910055Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T15:06:23.0910738Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T15:06:23.0911477Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T15:06:23.0912045Z ``(output, aux)``. 2025-12-04T15:06:23.0912580Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T15:06:23.0913261Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T15:06:23.0913886Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T15:06:23.0914473Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T15:06:23.0914790Z 2025-12-04T15:06:23.0914901Z Returns: 2025-12-04T15:06:23.0915364Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T15:06:23.0916154Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T15:06:23.0921749Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T15:06:23.0922512Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T15:06:23.0923099Z respect to each ``argnums`` value is returned. 2025-12-04T15:06:23.0923377Z 2025-12-04T15:06:23.0923492Z Example of using ``grad``: 2025-12-04T15:06:23.0923705Z 2025-12-04T15:06:23.0923809Z >>> # xdoctest: +SKIP 2025-12-04T15:06:23.0924190Z >>> from torch.func import grad 2025-12-04T15:06:23.0924528Z >>> x = torch.randn([]) 2025-12-04T15:06:23.0924858Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T15:06:23.0925253Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T15:06:23.0925597Z >>> 2025-12-04T15:06:23.0925844Z >>> # Second-order gradients 2025-12-04T15:06:23.0926228Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T15:06:23.0926678Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T15:06:23.0926950Z 2025-12-04T15:06:23.0927231Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T15:06:23.0927643Z 2025-12-04T15:06:23.0927753Z >>> # xdoctest: +SKIP 2025-12-04T15:06:23.0948668Z >>> from torch.func import grad, vmap 2025-12-04T15:06:23.0949064Z >>> batch_size, feature_size = 3, 5 2025-12-04T15:06:23.0949386Z >>> 2025-12-04T15:06:23.0949635Z >>> def model(weights, feature_vec): 2025-12-04T15:06:23.0950018Z >>> # Very simple linear model with activation 2025-12-04T15:06:23.0950402Z >>> assert feature_vec.dim() == 1 2025-12-04T15:06:23.0950776Z >>> return feature_vec.dot(weights).relu() 2025-12-04T15:06:23.0951122Z >>> 2025-12-04T15:06:23.0951390Z >>> def compute_loss(weights, example, target): 2025-12-04T15:06:23.0951780Z >>> y = model(weights, example) 2025-12-04T15:06:23.0952164Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T15:06:23.0952522Z >>> 2025-12-04T15:06:23.0952836Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T15:06:23.0953319Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T15:06:23.0953733Z >>> targets = torch.randn(batch_size) 2025-12-04T15:06:23.0954159Z >>> inputs = (weights, examples, targets) 2025-12-04T15:06:23.0954713Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T15:06:23.0955206Z ... *inputs 2025-12-04T15:06:23.0955456Z ... ) 2025-12-04T15:06:23.0955589Z 2025-12-04T15:06:23.0955782Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T15:06:23.0956125Z 2025-12-04T15:06:23.0956232Z >>> # xdoctest: +SKIP 2025-12-04T15:06:23.0956563Z >>> from torch.func import grad 2025-12-04T15:06:23.0956955Z >>> def my_loss_func(y, y_pred): 2025-12-04T15:06:23.0957349Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T15:06:23.0957763Z >>> loss = loss_per_sample.mean() 2025-12-04T15:06:23.0958148Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T15:06:23.0958515Z >>> 2025-12-04T15:06:23.0958822Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T15:06:23.0959243Z >>> y_true = torch.rand(4) 2025-12-04T15:06:23.0959606Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T15:06:23.0960009Z >>> out = fn(y_true, y_preds) 2025-12-04T15:06:23.0960520Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T15:06:23.0960929Z 2025-12-04T15:06:23.0961031Z .. note:: 2025-12-04T15:06:23.0961369Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T15:06:23.0961702Z 2025-12-04T15:06:23.0961867Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T15:06:23.0962161Z 2025-12-04T15:06:23.0962284Z >>> # xdoctest: +SKIP 2025-12-04T15:06:23.0962595Z >>> def f(x): 2025-12-04T15:06:23.0962900Z >>> with torch.no_grad(): 2025-12-04T15:06:23.0963250Z >>> c = x ** 2 2025-12-04T15:06:23.0963565Z >>> return x - c 2025-12-04T15:06:23.0963788Z 2025-12-04T15:06:23.0964008Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T15:06:23.0964365Z 2025-12-04T15:06:23.0964586Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T15:06:23.0964963Z 2025-12-04T15:06:23.0965087Z >>> # xdoctest: +SKIP 2025-12-04T15:06:23.0965411Z >>> with torch.no_grad(): 2025-12-04T15:06:23.0965752Z >>> grad(f)(x) 2025-12-04T15:06:23.0965947Z 2025-12-04T15:06:23.0966210Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T15:06:23.0966844Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T15:06:23.0967481Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T15:06:23.0967875Z 2025-12-04T15:06:23.0967969Z 2025-12-04T15:06:23.0968700Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T15:06:23.0969431Z 2025-12-04T15:06:23.0969525Z _._ = None 2025-12-04T15:06:23.0969756Z ^ 2025-12-04T15:06:26.1374631Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T15:06:26.1375790Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:26.1376421Z Register a FakeTensor implementation for this custom op. 2025-12-04T15:06:26.1376755Z 2025-12-04T15:06:26.1377042Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T15:06:26.1377479Z 2025-12-04T15:06:26.1377727Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T15:06:26.1378379Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T15:06:26.1378939Z Given some input Tensors with certain properties 2025-12-04T15:06:26.1379740Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T15:06:26.1380299Z the output Tensors are. 2025-12-04T15:06:26.1380584Z 2025-12-04T15:06:26.1380836Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T15:06:26.1381202Z 2025-12-04T15:06:26.1381299Z Args: 2025-12-04T15:06:26.1381641Z fn (Callable): The function to register as the FakeTensor 2025-12-04T15:06:26.1382089Z implementation. 2025-12-04T15:06:26.1382299Z 2025-12-04T15:06:26.1382476Z Examples: 2025-12-04T15:06:26.1382733Z >>> import torch 2025-12-04T15:06:26.1383055Z >>> import numpy as np 2025-12-04T15:06:26.1383407Z >>> from torch import Tensor 2025-12-04T15:06:26.1383739Z >>> 2025-12-04T15:06:26.1384109Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T15:06:26.1384696Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T15:06:26.1385257Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T15:06:26.1385753Z >>> return (x @ weight.t()) + bias 2025-12-04T15:06:26.1386120Z >>> 2025-12-04T15:06:26.1386392Z >>> @linear.register_fake 2025-12-04T15:06:26.1386746Z >>> def _(x, weight, bias): 2025-12-04T15:06:26.1387088Z >>> assert x.dim() == 2 2025-12-04T15:06:26.1387452Z >>> assert weight.dim() == 2 2025-12-04T15:06:26.1387825Z >>> assert bias.dim() == 1 2025-12-04T15:06:26.1388214Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T15:06:26.1388626Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T15:06:26.1389049Z >>> assert x.device == weight.device 2025-12-04T15:06:26.1389480Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T15:06:26.1389858Z >>> 2025-12-04T15:06:26.1390123Z >>> x = torch.randn(2, 2) 2025-12-04T15:06:26.1390477Z >>> weight = torch.randn(2, 2) 2025-12-04T15:06:26.1390829Z >>> bias = torch.randn(2) 2025-12-04T15:06:26.1391279Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T15:06:26.1391782Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T15:06:26.1392294Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T15:06:26.1392845Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T15:06:26.1393364Z >>> 2025-12-04T15:06:26.1393715Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T15:06:26.1394270Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T15:06:26.1394760Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T15:06:26.1395145Z >>> x_np = x.cpu().numpy() 2025-12-04T15:06:26.1395539Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T15:06:26.1395970Z >>> return torch.tensor(res, device=x.device) 2025-12-04T15:06:26.1396353Z >>> 2025-12-04T15:06:26.1396625Z >>> @nonzero.register_fake 2025-12-04T15:06:26.1396954Z >>> def _(x): 2025-12-04T15:06:26.1397306Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T15:06:26.1397793Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T15:06:26.1398283Z >>> # we use the ctx object to construct a new symint that 2025-12-04T15:06:26.1398747Z >>> # represents the data-dependent size. 2025-12-04T15:06:26.1399155Z >>> ctx = torch.library.get_ctx() 2025-12-04T15:06:26.1399552Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T15:06:26.1399916Z >>> shape = [nnz, x.dim()] 2025-12-04T15:06:26.1400329Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T15:06:26.1400742Z >>> return result 2025-12-04T15:06:26.1401084Z >>> 2025-12-04T15:06:26.1401406Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T15:06:26.1401826Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T15:06:26.1402269Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T15:06:26.1402719Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T15:06:26.1403148Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T15:06:26.1403419Z 2025-12-04T15:06:26.1403597Z 2025-12-04T15:06:26.1404331Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T15:06:26.1405314Z 2025-12-04T15:06:26.1405408Z _._ = None 2025-12-04T15:06:26.1405639Z ^ 2025-12-04T15:06:26.1600874Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T15:06:26.1602003Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T15:06:26.1602456Z 2025-12-04T15:06:26.1602717Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T15:06:26.1603392Z kernel registration will override any existing fake kernel registrations. 2025-12-04T15:06:26.1603804Z 2025-12-04T15:06:26.1604041Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T15:06:26.1604813Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T15:06:26.1605452Z are a record of the input and output tensor metadata. Based on this 2025-12-04T15:06:26.1606086Z information we will match a given input to the recorded profile, and return 2025-12-04T15:06:26.1606738Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T15:06:26.1607285Z doesn't exist then an exception will be thrown. 2025-12-04T15:06:26.1607567Z 2025-12-04T15:06:26.1607839Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T15:06:26.1608496Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T15:06:26.1609266Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T15:06:26.1609977Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T15:06:26.1610677Z possible that data-dependent operations may produce outputs of different 2025-12-04T15:06:26.1611399Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T15:06:26.1612036Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T15:06:26.1612528Z potentially unsafe. 2025-12-04T15:06:26.1612693Z 2025-12-04T15:06:26.1612796Z Args: 2025-12-04T15:06:26.1613160Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T15:06:26.1613777Z name to a set of operator profiles from which we will generate fake 2025-12-04T15:06:26.1614242Z kernels. 2025-12-04T15:06:26.1614413Z 2025-12-04T15:06:26.1614508Z Examples: 2025-12-04T15:06:26.1614654Z 2025-12-04T15:06:26.1614844Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T15:06:26.1615273Z >>> import torch 2025-12-04T15:06:26.1615624Z >>> from torch.export._draft_export import draft_export 2025-12-04T15:06:26.1616021Z >>> 2025-12-04T15:06:26.1616359Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T15:06:26.1616829Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T15:06:26.1617193Z >>> return x + y 2025-12-04T15:06:26.1617467Z >>> 2025-12-04T15:06:26.1617712Z >>> class M(torch.nn.Module): 2025-12-04T15:06:26.1618038Z >>> def forward(self, a, b): 2025-12-04T15:06:26.1618440Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T15:06:26.1618849Z >>> return res 2025-12-04T15:06:26.1619120Z >>> 2025-12-04T15:06:26.1619515Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T15:06:26.1619942Z >>> 2025-12-04T15:06:26.1620467Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T15:06:26.1621097Z >>> decomp = ep.run_decompositions() 2025-12-04T15:06:26.1621353Z 2025-12-04T15:06:26.1621358Z 2025-12-04T15:06:26.1621922Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T15:06:26.1622667Z 2025-12-04T15:06:26.8476536Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T15:06:26.8477970Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:26.8478390Z 2025-12-04T15:06:26.8478705Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T15:06:26.8479407Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T15:06:26.8480099Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T15:06:26.8480632Z input by the user. 2025-12-04T15:06:26.8481043Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T15:06:26.8481609Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T15:06:26.8481924Z 2025-12-04T15:06:26.8482038Z Note:: 2025-12-04T15:06:26.8482538Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T15:06:26.8483043Z 2025-12-04T15:06:26.8483132Z Args: 2025-12-04T15:06:26.8483370Z model (nn.Module): 2025-12-04T15:06:26.8483806Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T15:06:26.8484464Z sparsified should be added separately using the register_layer() function 2025-12-04T15:06:26.8485207Z aggregate_fn (Optional, Callable): 2025-12-04T15:06:26.8485757Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T15:06:26.8486619Z specifies how inputs should be aggregated over time. 2025-12-04T15:06:26.8487255Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T15:06:26.8487821Z Example 2025-12-04T15:06:26.8488175Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T15:06:26.8488624Z reduce_fn (Optional, Callable): 2025-12-04T15:06:26.8489159Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T15:06:26.8489867Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T15:06:26.8490427Z calling agg_fn() on all inputs. 2025-12-04T15:06:26.8490774Z Example 2025-12-04T15:06:26.8491171Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T15:06:26.8491752Z mask_fn (Optional, Callable): 2025-12-04T15:06:26.8492346Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T15:06:26.8493136Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T15:06:26.8493681Z register_layer(). 2025-12-04T15:06:26.8494304Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T15:06:26.8494937Z arguments. 2025-12-04T15:06:26.8495252Z features (Optional, list): 2025-12-04T15:06:26.8495639Z default selected features to sparsify. 2025-12-04T15:06:26.8496245Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T15:06:26.8496781Z For example, 2025-12-04T15:06:26.8497361Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T15:06:26.8498705Z feature_dim (Optional, int): 2025-12-04T15:06:26.8499277Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T15:06:26.8499849Z for sparsification. 2025-12-04T15:06:26.8500195Z sparse_config (Dict): 2025-12-04T15:06:26.8500656Z Default configuration for the mask_fn. This config will be passed 2025-12-04T15:06:26.8501160Z with the mask_fn() 2025-12-04T15:06:26.8501457Z 2025-12-04T15:06:26.8501550Z Example: 2025-12-04T15:06:26.8501792Z >>> # xdoctest: +SKIP 2025-12-04T15:06:26.8502081Z >>> model = SomeModel() 2025-12-04T15:06:26.8502562Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T15:06:26.8503095Z >>> # Initialize aggregate_fn 2025-12-04T15:06:26.8503415Z >>> def agg_fn(x, y): 2025-12-04T15:06:26.8503709Z >>> return x + y 2025-12-04T15:06:26.8503987Z >>> 2025-12-04T15:06:26.8504220Z >>> # Initialize reduce_fn 2025-12-04T15:06:26.8504731Z >>> def reduce_fn(x): 2025-12-04T15:06:26.8505053Z >>> return torch.mean(x, dim=0) 2025-12-04T15:06:26.8505378Z >>> 2025-12-04T15:06:26.8505689Z >>> # Initialize mask_fn 2025-12-04T15:06:26.8506045Z >>> def mask_fn(data): 2025-12-04T15:06:26.8506397Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T15:06:26.8506768Z >>> 2025-12-04T15:06:26.8506988Z >>> 2025-12-04T15:06:26.8507250Z >>> act_sparsifier.register_layer( 2025-12-04T15:06:26.8507600Z ... model.some_layer, 2025-12-04T15:06:26.8507919Z ... aggregate_fn=agg_fn, 2025-12-04T15:06:26.8508244Z ... reduce_fn=reduce_fn, 2025-12-04T15:06:26.8508552Z ... mask_fn=mask_fn, 2025-12-04T15:06:26.8508845Z ... ) 2025-12-04T15:06:26.8509071Z >>> 2025-12-04T15:06:26.8509300Z >>> # start training process 2025-12-04T15:06:26.8509618Z >>> for _ in [...]: 2025-12-04T15:06:26.8509898Z >>> # epoch starts 2025-12-04T15:06:26.8510254Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T15:06:26.8510765Z >>> # epoch ends 2025-12-04T15:06:26.8511056Z >>> act_sparsifier.step() 2025-12-04T15:06:26.8511387Z >>> # end training process 2025-12-04T15:06:26.8511719Z >>> sparsifier.squash_mask() 2025-12-04T15:06:26.8511937Z 2025-12-04T15:06:26.8512532Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T15:06:26.8513247Z 2025-12-04T15:06:26.8513353Z _._ = None 2025-12-04T15:06:26.8513565Z ^ 2025-12-04T15:06:27.5577999Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T15:06:27.5579142Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:27.5579565Z 2025-12-04T15:06:27.5579905Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T15:06:27.5580674Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T15:06:27.5581222Z ``mesh_dim_names`` 2025-12-04T15:06:27.5581395Z 2025-12-04T15:06:27.5581486Z Args: 2025-12-04T15:06:27.5581890Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T15:06:27.5582500Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T15:06:27.5582944Z Returns: 2025-12-04T15:06:27.5583195Z A :class:`DeviceMesh` object 2025-12-04T15:06:27.5583411Z 2025-12-04T15:06:27.5583735Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T15:06:27.5584311Z In the first example: 2025-12-04T15:06:27.5584776Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T15:06:27.5585682Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T15:06:27.5586419Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T15:06:27.5587075Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T15:06:27.5587722Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T15:06:27.5588356Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T15:06:27.5588829Z 2025-12-04T15:06:27.5588937Z In the second example: 2025-12-04T15:06:27.5589429Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T15:06:27.5590172Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T15:06:27.5590897Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T15:06:27.5591639Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T15:06:27.5592089Z 2025-12-04T15:06:27.5592213Z Example:: 2025-12-04T15:06:27.5592347Z 2025-12-04T15:06:27.5592480Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T15:06:27.5592898Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T15:06:27.5593319Z >>> 2025-12-04T15:06:27.5593676Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T15:06:27.5594193Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T15:06:27.5594770Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T15:06:27.5595315Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T15:06:27.5595640Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T15:06:27.5595953Z >>> 2025-12-04T15:06:27.5596192Z >>> # Initialize a 3D mesh. 2025-12-04T15:06:27.5596719Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T15:06:27.5597514Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T15:06:27.5598199Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T15:06:27.5598571Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T15:06:27.5598812Z 2025-12-04T15:06:27.5599611Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-12-04T15:06:27.5600523Z 2025-12-04T15:06:27.5600802Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T15:06:27.5601366Z ^ 2025-12-04T15:06:28.0672017Z msg = Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T15:06:28.0673202Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:28.0673623Z 2025-12-04T15:06:28.0673957Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T15:06:28.0674443Z 2025-12-04T15:06:28.0674778Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T15:06:28.0675270Z 2025-12-04T15:06:28.0675583Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T15:06:28.0676186Z will be visible to the whole process. 2025-12-04T15:06:28.0676427Z 2025-12-04T15:06:28.0676741Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T15:06:28.0677207Z 2025-12-04T15:06:28.0677343Z 1) set_up_planner - called on all ranks. 2025-12-04T15:06:28.0677738Z Signals the start of a checkpoint save. 2025-12-04T15:06:28.0677998Z 2025-12-04T15:06:28.0678149Z 2) create_local_plan - called on all ranks. 2025-12-04T15:06:28.0678890Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T15:06:28.0679442Z 2025-12-04T15:06:28.0679651Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T15:06:28.0680211Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T15:06:28.0680566Z 2025-12-04T15:06:28.0680688Z 4) finish_plan - called on all ranks. 2025-12-04T15:06:28.0681179Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T15:06:28.0681642Z 2025-12-04T15:06:28.0681812Z 5) resolve_data - called multiple times on each rank 2025-12-04T15:06:28.0682348Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T15:06:28.0682711Z 2025-12-04T15:06:28.0683054Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T15:06:28.0683751Z most changes can be expressed by changes in a single method. 2025-12-04T15:06:28.0684085Z 2025-12-04T15:06:28.0684238Z There are 3 usual patterns of extension: 2025-12-04T15:06:28.0684494Z 2025-12-04T15:06:28.0684793Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T15:06:28.0685472Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T15:06:28.0685874Z 2025-12-04T15:06:28.0685997Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:28.0686396Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T15:06:28.0686767Z >>> def set_up_planner( 2025-12-04T15:06:28.0687066Z >>> self, 2025-12-04T15:06:28.0687348Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T15:06:28.0687719Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T15:06:28.0688102Z >>> is_coordinator: bool, 2025-12-04T15:06:28.0688422Z >>> ) -> None: 2025-12-04T15:06:28.0688699Z >>> # prefix all keys with `foo_`` 2025-12-04T15:06:28.0689246Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T15:06:28.0689719Z 2025-12-04T15:06:28.0690102Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T15:06:28.0690682Z 2025-12-04T15:06:28.0690818Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:28.0691271Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T15:06:28.0691668Z >>> def create_local_plan(self): 2025-12-04T15:06:28.0692044Z >>> plan = super().create_local_plan() 2025-12-04T15:06:28.0692420Z >>> for p in plan: 2025-12-04T15:06:28.0692745Z >>> if p.tensor_data is not None: 2025-12-04T15:06:28.0693183Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T15:06:28.0693604Z >>> return plan 2025-12-04T15:06:28.0693866Z >>> 2025-12-04T15:06:28.0694118Z >>> def resolve_data(self, write_item): 2025-12-04T15:06:28.0694510Z >>> item = super().resolve_data(write_item) 2025-12-04T15:06:28.0695090Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T15:06:28.0695826Z 2025-12-04T15:06:28.0696586Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T15:06:28.0697239Z 2025-12-04T15:06:28.0697363Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:28.0697738Z >>> from itertools import zip_longest 2025-12-04T15:06:28.0698092Z >>> from dataclasses import replace 2025-12-04T15:06:28.0698521Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T15:06:28.0699153Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T15:06:28.0699741Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T15:06:28.0700160Z >>> def create_global_plan(self, all_plans): 2025-12-04T15:06:28.0700600Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T15:06:28.0701017Z >>> items_per_rank = [ 2025-12-04T15:06:28.0701362Z >>> [item for item in items if item is not None] 2025-12-04T15:06:28.0701879Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T15:06:28.0702351Z >>> ] 2025-12-04T15:06:28.0702611Z >>> all_plans = [ 2025-12-04T15:06:28.0702918Z >>> replace(plan, items=items) 2025-12-04T15:06:28.0703385Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T15:06:28.0703842Z >>> ] 2025-12-04T15:06:28.0704136Z >>> return super().create_global_plan(all_plans) 2025-12-04T15:06:28.0704684Z 2025-12-04T15:06:28.0704999Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T15:06:28.0705762Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T15:06:28.0706341Z the global planner aggregate them: 2025-12-04T15:06:28.0706573Z 2025-12-04T15:06:28.0706698Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:28.0707128Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T15:06:28.0707589Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T15:06:28.0707987Z >>> plan = super().create_local_plan() 2025-12-04T15:06:28.0708434Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T15:06:28.0708843Z >>> 2025-12-04T15:06:28.0709298Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T15:06:28.0710006Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T15:06:28.0710551Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T15:06:28.0711058Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T15:06:28.0711498Z >>> return global_plan, metadata 2025-12-04T15:06:28.0711754Z 2025-12-04T15:06:28.0712366Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T15:06:28.0713114Z 2025-12-04T15:06:28.0713205Z _._ = None 2025-12-04T15:06:28.0713433Z ^ 2025-12-04T15:06:28.0714286Z msg = Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T15:06:28.0715458Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:28.0715884Z 2025-12-04T15:06:28.0716207Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T15:06:28.0716671Z 2025-12-04T15:06:28.0717011Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T15:06:28.0717480Z 2025-12-04T15:06:28.0717808Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T15:06:28.0718385Z will be visible to the whole process. 2025-12-04T15:06:28.0718640Z 2025-12-04T15:06:28.0718952Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T15:06:28.0719409Z 2025-12-04T15:06:28.0719554Z 1) set_up_planner - called on all ranks. 2025-12-04T15:06:28.0719942Z Signals the start of loading a checkpoint. 2025-12-04T15:06:28.0720223Z 2025-12-04T15:06:28.0720357Z 2) create_local_plan - called on all ranks. 2025-12-04T15:06:28.0720944Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T15:06:28.0721405Z 2025-12-04T15:06:28.0721622Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T15:06:28.0722167Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T15:06:28.0722535Z 2025-12-04T15:06:28.0722691Z 4) load_bytes - called multiple times on each rank 2025-12-04T15:06:28.0723173Z This is called once per non-tensor value in state_dict. 2025-12-04T15:06:28.0723490Z 2025-12-04T15:06:28.0723750Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T15:06:28.0724338Z They are called in pair for each Tensor value in state_dict. 2025-12-04T15:06:28.0724684Z 2025-12-04T15:06:28.0725124Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T15:06:28.0725823Z most changes can be expressed by changes in a single method. 2025-12-04T15:06:28.0726158Z 2025-12-04T15:06:28.0726312Z There are two usual patterns of extension: 2025-12-04T15:06:28.0726572Z 2025-12-04T15:06:28.0726860Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T15:06:28.0727580Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T15:06:28.0728316Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T15:06:28.0728835Z we need to be able to perform it in place 2025-12-04T15:06:28.0729102Z 2025-12-04T15:06:28.0729225Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:28.0729624Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T15:06:28.0730016Z >>> def set_up_planner( 2025-12-04T15:06:28.0730301Z >>> self, 2025-12-04T15:06:28.0730583Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T15:06:28.0730942Z >>> metadata: Metadata, 2025-12-04T15:06:28.0731344Z >>> is_coordinator: bool, 2025-12-04T15:06:28.0731673Z >>> ) -> None: 2025-12-04T15:06:28.0731972Z >>> self.original_state_dict = state_dict 2025-12-04T15:06:28.0732421Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T15:06:28.0732854Z >>> 2025-12-04T15:06:28.0733111Z >>> if self.flatten_sharded_tensors: 2025-12-04T15:06:28.0733528Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T15:06:28.0733925Z >>> 2025-12-04T15:06:28.0734167Z >>> if self.flatten_state_dict: 2025-12-04T15:06:28.0734618Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T15:06:28.0735044Z >>> 2025-12-04T15:06:28.0735288Z >>> self.state_dict = state_dict 2025-12-04T15:06:28.0735647Z >>> self.metadata = metadata 2025-12-04T15:06:28.0736001Z >>> self.is_coordinator = is_coordinator 2025-12-04T15:06:28.0736354Z >>> 2025-12-04T15:06:28.0736613Z >>> def load_bytes(self, read_item, value): 2025-12-04T15:06:28.0737031Z >>> # Remove the "foo_" prefix 2025-12-04T15:06:28.0737603Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T15:06:28.0738100Z 2025-12-04T15:06:28.0738105Z 2025-12-04T15:06:28.0738410Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T15:06:28.0738842Z 2025-12-04T15:06:28.0738979Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:28.0739387Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T15:06:28.0739823Z >>> def resolve_tensor(self, read_item): 2025-12-04T15:06:28.0740227Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T15:06:28.0740655Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T15:06:28.0741037Z >>> 2025-12-04T15:06:28.0741302Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T15:06:28.0741744Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T15:06:28.0742063Z 2025-12-04T15:06:28.0742685Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T15:06:28.0743451Z 2025-12-04T15:06:28.0743545Z _._ = None 2025-12-04T15:06:28.0743774Z ^ 2025-12-04T15:06:28.4632043Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T15:06:28.4633187Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:28.4633611Z 2025-12-04T15:06:28.4633860Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T15:06:28.4634442Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T15:06:28.4635030Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T15:06:28.4635823Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T15:06:28.4636531Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T15:06:28.4636984Z follows: 2025-12-04T15:06:28.4637129Z 2025-12-04T15:06:28.4637270Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T15:06:28.4637814Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T15:06:28.4638350Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T15:06:28.4638928Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T15:06:28.4639551Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T15:06:28.4640069Z >>> state = fsdp.state_dict() 2025-12-04T15:06:28.4640557Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T15:06:28.4641210Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T15:06:28.4641890Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T15:06:28.4642404Z >>> if dist.get_rank() == 0: 2025-12-04T15:06:28.4642834Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T15:06:28.4643333Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T15:06:28.4643755Z >>> model.load_state_dict(state_dict) 2025-12-04T15:06:28.4644273Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T15:06:28.4644962Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T15:06:28.4645474Z >>> fsdp = FSDP( 2025-12-04T15:06:28.4645732Z ... model, 2025-12-04T15:06:28.4646033Z ... device_id=torch.cuda.current_device(), 2025-12-04T15:06:28.4646424Z ... auto_wrap_policy=..., 2025-12-04T15:06:28.4646753Z ... sync_module_states=True, 2025-12-04T15:06:28.4647079Z ... ) 2025-12-04T15:06:28.4647458Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T15:06:28.4647835Z 2025-12-04T15:06:28.4648010Z Attributes: 2025-12-04T15:06:28.4648366Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T15:06:28.4648961Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T15:06:28.4649508Z ranks save the full state dict. (Default: ``False``) 2025-12-04T15:06:28.4649815Z 2025-12-04T15:06:28.4650392Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T15:06:28.4651105Z 2025-12-04T15:06:28.4651283Z _._ = None 2025-12-04T15:06:28.4651520Z ^ 2025-12-04T15:06:30.6578560Z msg = Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T15:06:30.6579741Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:30.6580330Z Register a parametrization to a tensor in a module. 2025-12-04T15:06:30.6580708Z 2025-12-04T15:06:30.6581020Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T15:06:30.6581794Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T15:06:30.6582560Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T15:06:30.6583348Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T15:06:30.6583818Z 2025-12-04T15:06:30.6584173Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T15:06:30.6584950Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T15:06:30.6585361Z 2025-12-04T15:06:30.6585663Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T15:06:30.6586466Z ``module.parametrizations.weight``. 2025-12-04T15:06:30.6586730Z 2025-12-04T15:06:30.6586948Z The original tensor will be accessible under 2025-12-04T15:06:30.6587401Z ``module.parametrizations.weight.original``. 2025-12-04T15:06:30.6587690Z 2025-12-04T15:06:30.6588006Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T15:06:30.6588550Z on the same attribute. 2025-12-04T15:06:30.6588759Z 2025-12-04T15:06:30.6589031Z The training mode of a registered parametrization is updated on registration 2025-12-04T15:06:30.6589660Z to match the training mode of the host module 2025-12-04T15:06:30.6589936Z 2025-12-04T15:06:30.6590298Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T15:06:30.6590914Z using the context manager :func:`cached`. 2025-12-04T15:06:30.6591187Z 2025-12-04T15:06:30.6591463Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T15:06:30.6591894Z 2025-12-04T15:06:30.6592027Z .. code-block:: python 2025-12-04T15:06:30.6592223Z 2025-12-04T15:06:30.6592485Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T15:06:30.6592866Z 2025-12-04T15:06:30.6593164Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T15:06:30.6593847Z is registered to compute the initial value of the original tensor. 2025-12-04T15:06:30.6594573Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T15:06:30.6595066Z 2025-12-04T15:06:30.6595435Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T15:06:30.6596258Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T15:06:30.6596734Z 2025-12-04T15:06:30.6596991Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T15:06:30.6597674Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T15:06:30.6598355Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T15:06:30.6598821Z 2025-12-04T15:06:30.6599204Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T15:06:30.6599877Z with names ``original0``, ``original1``,... 2025-12-04T15:06:30.6600146Z 2025-12-04T15:06:30.6600256Z .. note:: 2025-12-04T15:06:30.6600400Z 2025-12-04T15:06:30.6600702Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T15:06:30.6601313Z once to perform a number of consistency checks. 2025-12-04T15:06:30.6601913Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T15:06:30.6602493Z and nothing will be called otherwise. 2025-12-04T15:06:30.6602749Z 2025-12-04T15:06:30.6602843Z .. note:: 2025-12-04T15:06:30.6602999Z 2025-12-04T15:06:30.6603231Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T15:06:30.6603734Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T15:06:30.6604334Z `right inverse `_). 2025-12-04T15:06:30.6605290Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T15:06:30.6605831Z to relax this. 2025-12-04T15:06:30.6606007Z 2025-12-04T15:06:30.6606120Z .. warning:: 2025-12-04T15:06:30.6606275Z 2025-12-04T15:06:30.6606590Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T15:06:30.6607345Z will register a number of new parameters. If such parametrization is registered 2025-12-04T15:06:30.6608090Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T15:06:30.6608834Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T15:06:30.6609186Z 2025-12-04T15:06:30.6609278Z Args: 2025-12-04T15:06:30.6609713Z module (nn.Module): module on which to register the parametrization 2025-12-04T15:06:30.6610346Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T15:06:30.6610834Z the parametrization 2025-12-04T15:06:30.6611363Z parametrization (nn.Module): the parametrization to register 2025-12-04T15:06:30.6611836Z Keyword args: 2025-12-04T15:06:30.6612301Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T15:06:30.6612895Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T15:06:30.6613562Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T15:06:30.6614149Z Enable this flag at your own risk. 2025-12-04T15:06:30.6614404Z 2025-12-04T15:06:30.6614498Z Raises: 2025-12-04T15:06:30.6614970Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T15:06:30.6615451Z 2025-12-04T15:06:30.6615567Z Examples: 2025-12-04T15:06:30.6615871Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T15:06:30.6616274Z >>> import torch 2025-12-04T15:06:30.6616578Z >>> import torch.nn as nn 2025-12-04T15:06:30.6616943Z >>> import torch.nn.utils.parametrize as P 2025-12-04T15:06:30.6617326Z >>> 2025-12-04T15:06:30.6617593Z >>> class Symmetric(nn.Module): 2025-12-04T15:06:30.6617944Z >>> def forward(self, X): 2025-12-04T15:06:30.6618385Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T15:06:30.6618822Z >>> 2025-12-04T15:06:30.6619085Z >>> def right_inverse(self, A): 2025-12-04T15:06:30.6619437Z >>> return A.triu() 2025-12-04T15:06:30.6619761Z >>> 2025-12-04T15:06:30.6620008Z >>> m = nn.Linear(5, 5) 2025-12-04T15:06:30.6620404Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T15:06:30.6621009Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T15:06:30.6621577Z True 2025-12-04T15:06:30.6621819Z >>> A = torch.rand(5, 5) 2025-12-04T15:06:30.6622162Z >>> A = A + A.T # A is now symmetric 2025-12-04T15:06:30.6622641Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T15:06:30.6623135Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T15:06:30.6623497Z True 2025-12-04T15:06:30.6623648Z 2025-12-04T15:06:30.6623764Z >>> class RankOne(nn.Module): 2025-12-04T15:06:30.6624122Z >>> def forward(self, x, y): 2025-12-04T15:06:30.6624512Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T15:06:30.6624953Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T15:06:30.6625326Z >>> 2025-12-04T15:06:30.6625575Z >>> def right_inverse(self, Z): 2025-12-04T15:06:30.6625958Z >>> # Project Z onto the rank 1 matrices 2025-12-04T15:06:30.6626395Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T15:06:30.6626821Z >>> # Return rescaled singular vectors 2025-12-04T15:06:30.6627215Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T15:06:30.6627646Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T15:06:30.6628043Z >>> 2025-12-04T15:06:30.6628336Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T15:06:30.6628773Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T15:06:30.6629137Z ... ) 2025-12-04T15:06:30.6629497Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T15:06:30.6629960Z 1 2025-12-04T15:06:30.6630089Z 2025-12-04T15:06:30.6630188Z 2025-12-04T15:06:30.6630955Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T15:06:30.6631749Z 2025-12-04T15:06:30.6631842Z _._ = None 2025-12-04T15:06:30.6632067Z ^ 2025-12-04T15:06:30.7793328Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T15:06:30.7794469Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:30.7795210Z Reduce learning rate when a metric has stopped improving. 2025-12-04T15:06:30.7795559Z 2025-12-04T15:06:30.7795790Z Models often benefit from reducing the learning rate by a factor 2025-12-04T15:06:30.7796377Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T15:06:30.7796936Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T15:06:30.7797433Z of epochs, the learning rate is reduced. 2025-12-04T15:06:30.7797704Z 2025-12-04T15:06:30.7797798Z Args: 2025-12-04T15:06:30.7798086Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T15:06:30.7798528Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T15:06:30.7799012Z be reduced when the quantity monitored has stopped 2025-12-04T15:06:30.7799505Z decreasing; in `max` mode it will be reduced when the 2025-12-04T15:06:30.7800032Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T15:06:30.7800583Z factor (float): Factor by which the learning rate will be 2025-12-04T15:06:30.7801071Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T15:06:30.7801604Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T15:06:30.7802123Z which the learning rate will be reduced. 2025-12-04T15:06:30.7802657Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T15:06:30.7803479Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T15:06:30.7804253Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T15:06:30.7805035Z we have what is considered an intolerable epoch. 2025-12-04T15:06:30.7805647Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T15:06:30.7806286Z the learning rate is reduced at the end of this epoch. 2025-12-04T15:06:30.7806973Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T15:06:30.7807853Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T15:06:30.7808491Z the learning rate is not adjusted. 2025-12-04T15:06:30.7808846Z Default: 10. 2025-12-04T15:06:30.7809244Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T15:06:30.7809964Z to only focus on significant changes. Default: 1e-4. 2025-12-04T15:06:30.7810834Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T15:06:30.7811414Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T15:06:30.7811897Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T15:06:30.7812365Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T15:06:30.7812867Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T15:06:30.7813407Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T15:06:30.7813935Z normal operation after lr has been reduced. Default: 0. 2025-12-04T15:06:30.7814455Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T15:06:30.7814941Z lower bound on the learning rate of all param groups 2025-12-04T15:06:30.7815408Z or each group respectively. Default: 0. 2025-12-04T15:06:30.7815986Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T15:06:30.7816574Z between new and old lr is smaller than eps, the update is 2025-12-04T15:06:30.7817035Z ignored. Default: 1e-8. 2025-12-04T15:06:30.7817262Z 2025-12-04T15:06:30.7817369Z Example: 2025-12-04T15:06:30.7817613Z >>> # xdoctest: +SKIP 2025-12-04T15:06:30.7818081Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T15:06:30.7818732Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T15:06:30.7819155Z >>> for epoch in range(10): 2025-12-04T15:06:30.7819474Z >>> train(...) 2025-12-04T15:06:30.7819783Z >>> val_loss = validate(...) 2025-12-04T15:06:30.7820198Z >>> # Note that step should be called after validate() 2025-12-04T15:06:30.7820614Z >>> scheduler.step(val_loss) 2025-12-04T15:06:30.7820875Z 2025-12-04T15:06:30.7821113Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T15:06:30.7821551Z 2025-12-04T15:06:30.7822159Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T15:06:30.7822767Z 2025-12-04T15:06:30.7822883Z scheduler.step(val_loss) 2025-12-04T15:06:30.7823189Z ^ 2025-12-04T15:06:34.4815794Z running 894 test(s) 2025-12-04T15:06:34.4822676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0, line 1111 <- wrt source file 2025-12-04T15:06:34.4830562Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::typename:0 2025-12-04T15:06:34.4831830Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0, line 1142 <- wrt source file 2025-12-04T15:06:34.4835999Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_tensor:0 2025-12-04T15:06:34.4837285Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0, line 1157 <- wrt source file 2025-12-04T15:06:34.4845740Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::is_storage:0 2025-12-04T15:06:34.4847173Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0, line 1247 <- wrt source file 2025-12-04T15:06:34.4849178Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_device:0 2025-12-04T15:06:34.4851210Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1296 <- wrt source file 2025-12-04T15:06:34.4852658Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_tensor_type:0 2025-12-04T15:06:34.4854249Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0, line 1333 <- wrt source file 2025-12-04T15:06:34.4856358Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::set_default_dtype:0 2025-12-04T15:06:34.4857941Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1497 <- wrt source file 2025-12-04T15:06:34.4859463Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::use_deterministic_algorithms:0 2025-12-04T15:06:34.4861080Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0, line 2655 <- wrt source file 2025-12-04T15:06:34.4862557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::compile:0 2025-12-04T15:06:34.4864226Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2963 <- wrt source file 2025-12-04T15:06:34.4866056Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0 2025-12-04T15:06:34.4867695Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0, line 15 <- wrt source file 2025-12-04T15:06:34.4869251Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::Generator:0 2025-12-04T15:06:34.4870840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0, line 5 <- wrt source file 2025-12-04T15:06:34.4872410Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so::_LinAlgError:0 2025-12-04T15:06:34.4873831Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file 2025-12-04T15:06:34.4875141Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::custom_op:0 2025-12-04T15:06:34.4876391Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file 2025-12-04T15:06:34.4877654Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl:0 2025-12-04T15:06:34.4878947Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file 2025-12-04T15:06:34.5442045Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_custom_ops.py::impl_abstract:0 2025-12-04T15:06:34.5443547Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file 2025-12-04T15:06:34.5445144Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_namedtensor_internals.py::update_names:0 2025-12-04T15:06:34.5446677Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 681 <- wrt source file 2025-12-04T15:06:34.5458816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_hook:0 2025-12-04T15:06:34.5460327Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 738 <- wrt source file 2025-12-04T15:06:34.5482754Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0 2025-12-04T15:06:34.5484244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1374 <- wrt source file 2025-12-04T15:06:34.5574101Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.refine_names:0 2025-12-04T15:06:34.5575455Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1419 <- wrt source file 2025-12-04T15:06:34.5580782Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.align_to:0 2025-12-04T15:06:34.5582104Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0, line 1492 <- wrt source file 2025-12-04T15:06:34.5590645Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.rename:0 2025-12-04T15:06:34.5592208Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1522 <- wrt source file 2025-12-04T15:06:34.5602793Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0 2025-12-04T15:06:34.5604873Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0, line 1554 <- wrt source file 2025-12-04T15:06:34.5626728Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py::Tensor.dim_order:0 2025-12-04T15:06:34.5628661Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file 2025-12-04T15:06:34.5647010Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor_str.py::set_printoptions:0 2025-12-04T15:06:34.5648400Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file 2025-12-04T15:06:34.5656032Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_tensors:0 2025-12-04T15:06:34.5657406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file 2025-12-04T15:06:34.5660890Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::broadcast_shapes:0 2025-12-04T15:06:34.5662203Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0, line 144 <- wrt source file 2025-12-04T15:06:34.5677501Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::split:0 2025-12-04T15:06:34.5678762Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file 2025-12-04T15:06:34.5700731Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::einsum:0 2025-12-04T15:06:34.5702026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0, line 450 <- wrt source file 2025-12-04T15:06:34.5746882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::meshgrid:0 2025-12-04T15:06:34.5748205Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0, line 835 <- wrt source file 2025-12-04T15:06:34.5803157Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_impl:0 2025-12-04T15:06:34.5804707Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file 2025-12-04T15:06:34.5819423Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_unique_consecutive_impl:0 2025-12-04T15:06:34.5820832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file 2025-12-04T15:06:34.5834461Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::tensordot:0 2025-12-04T15:06:34.5835826Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file 2025-12-04T15:06:34.5843872Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cartesian_prod:0 2025-12-04T15:06:34.5845219Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file 2025-12-04T15:06:34.5857343Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::block_diag:0 2025-12-04T15:06:34.5858741Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file 2025-12-04T15:06:34.5875961Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::cdist:0 2025-12-04T15:06:34.5877270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file 2025-12-04T15:06:34.5898703Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_1d:0 2025-12-04T15:06:34.5900097Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file 2025-12-04T15:06:34.5922980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_2d:0 2025-12-04T15:06:34.5924303Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file 2025-12-04T15:06:34.5952612Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::atleast_3d:0 2025-12-04T15:06:34.5953898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file 2025-12-04T15:06:34.5997116Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::norm:0 2025-12-04T15:06:34.5998433Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0, line 1905 <- wrt source file 2025-12-04T15:06:34.6035896Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::unravel_index:0 2025-12-04T15:06:34.6037347Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0, line 2005 <- wrt source file 2025-12-04T15:06:34.6038721Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::chain_matmul:0 2025-12-04T15:06:34.6040150Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0, line 2106 <- wrt source file 2025-12-04T15:06:34.6041713Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py::_lu_impl:0 2025-12-04T15:06:34.6043004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0, line 477 <- wrt source file 2025-12-04T15:06:34.6044287Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::list:0 2025-12-04T15:06:34.6045493Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0, line 537 <- wrt source file 2025-12-04T15:06:34.6046687Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::help:0 2025-12-04T15:06:34.6047859Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0, line 628 <- wrt source file 2025-12-04T15:06:34.6049170Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load:0 2025-12-04T15:06:34.6050351Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0, line 676 <- wrt source file 2025-12-04T15:06:34.6051679Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::_load_local:0 2025-12-04T15:06:34.6052962Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0, line 711 <- wrt source file 2025-12-04T15:06:34.6054307Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::download_url_to_file:0 2025-12-04T15:06:34.6055729Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0, line 852 <- wrt source file 2025-12-04T15:06:34.6057160Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/hub.py::load_state_dict_from_url:0 2025-12-04T15:06:34.6058548Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0, line 145 <- wrt source file 2025-12-04T15:06:34.6059991Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.define:0 2025-12-04T15:06:34.6061465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 239 <- wrt source file 2025-12-04T15:06:34.6062992Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library._impl_with_aoti_compile:0 2025-12-04T15:06:34.6064479Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0, line 300 <- wrt source file 2025-12-04T15:06:34.6065890Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::Library.impl:0 2025-12-04T15:06:34.6067157Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0, line 521 <- wrt source file 2025-12-04T15:06:34.6079735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::define:0 2025-12-04T15:06:34.6080942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0, line 627 <- wrt source file 2025-12-04T15:06:34.6101596Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::impl:0 2025-12-04T15:06:34.6102953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0, line 809 <- wrt source file 2025-12-04T15:06:34.6104384Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_kernel:0 2025-12-04T15:06:34.6105945Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0, line 877 <- wrt source file 2025-12-04T15:06:34.6107423Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autocast:0 2025-12-04T15:06:34.6108779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0, line 1164 <- wrt source file 2025-12-04T15:06:34.6330783Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_autograd:0 2025-12-04T15:06:34.6332293Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0, line 1280 <- wrt source file 2025-12-04T15:06:34.6438006Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_torch_dispatch:0 2025-12-04T15:06:34.6439390Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0, line 1369 <- wrt source file 2025-12-04T15:06:34.6657796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::register_vmap:0 2025-12-04T15:06:34.6659076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0, line 1694 <- wrt source file 2025-12-04T15:06:34.6660346Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py::opcheck:0 2025-12-04T15:06:34.6661685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0, line 117 <- wrt source file 2025-12-04T15:06:34.6666512Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_ignored_functions:0 2025-12-04T15:06:34.6668124Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0, line 435 <- wrt source file 2025-12-04T15:06:34.6711911Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::get_testing_overrides:0 2025-12-04T15:06:34.6713315Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0, line 1589 <- wrt source file 2025-12-04T15:06:34.6716447Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::wrap_torch_function:0 2025-12-04T15:06:34.6717952Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0, line 1725 <- wrt source file 2025-12-04T15:06:34.6720787Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::handle_torch_function:0 2025-12-04T15:06:34.6722265Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1974 <- wrt source file 2025-12-04T15:06:34.6759389Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_method_or_property:0 2025-12-04T15:06:34.6760824Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0, line 1993 <- wrt source file 2025-12-04T15:06:34.6770311Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/overrides.py::is_tensor_like:0 2025-12-04T15:06:34.6771851Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file 2025-12-04T15:06:34.6773250Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/quasirandom.py::SobolEngine:0 2025-12-04T15:06:34.6774700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0, line 300 <- wrt source file 2025-12-04T15:06:34.6776246Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::add_safe_globals:0 2025-12-04T15:06:34.6777744Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0, line 325 <- wrt source file 2025-12-04T15:06:34.6779149Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::safe_globals:0 2025-12-04T15:06:34.6788855Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0, line 401 <- wrt source file 2025-12-04T15:06:34.6790518Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::skip_data:0 2025-12-04T15:06:34.6791915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0, line 473 <- wrt source file 2025-12-04T15:06:34.6793539Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::register_package:0 2025-12-04T15:06:34.6794898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0, line 960 <- wrt source file 2025-12-04T15:06:34.6796210Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::save:0 2025-12-04T15:06:34.6797494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0, line 1379 <- wrt source file 2025-12-04T15:06:34.6798811Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/serialization.py::load:0 2025-12-04T15:06:34.6800136Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file 2025-12-04T15:06:34.6801643Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/torch_version.py::TorchVersion:0 2025-12-04T15:06:34.6803095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 349 <- wrt source file 2025-12-04T15:06:34.6804765Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_mode_options:0 2025-12-04T15:06:34.6806200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0, line 388 <- wrt source file 2025-12-04T15:06:34.6814026Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py::list_options:0 2025-12-04T15:06:34.6815590Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0, line 1911 <- wrt source file 2025-12-04T15:06:34.6821803Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims_common/__init__.py::compute_required_storage_length:0 2025-12-04T15:06:34.6823407Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 117 <- wrt source file 2025-12-04T15:06:36.3095195Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::current_accelerator:0 2025-12-04T15:06:36.3097043Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0, line 171 <- wrt source file 2025-12-04T15:06:36.3098682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::get_device_capability:0 2025-12-04T15:06:36.3100188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0, line 276 <- wrt source file 2025-12-04T15:06:36.3101675Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py::device_index:0 2025-12-04T15:06:36.3103295Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 130 <- wrt source file 2025-12-04T15:06:36.3105009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::allow_in_graph:0 2025-12-04T15:06:36.3106488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 186 <- wrt source file 2025-12-04T15:06:36.6085115Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::substitute_in_graph:0 2025-12-04T15:06:36.6086594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 416 <- wrt source file 2025-12-04T15:06:36.6088052Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::wrap_numpy:0 2025-12-04T15:06:36.6089950Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0, line 448 <- wrt source file 2025-12-04T15:06:36.6091478Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_compiling:0 2025-12-04T15:06:36.6092942Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 469 <- wrt source file 2025-12-04T15:06:36.6094947Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0 2025-12-04T15:06:36.6096383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0, line 487 <- wrt source file 2025-12-04T15:06:36.6099212Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::is_exporting:0 2025-12-04T15:06:36.6102141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 502 <- wrt source file 2025-12-04T15:06:36.6105092Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0 2025-12-04T15:06:36.6107291Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 522 <- wrt source file 2025-12-04T15:06:36.6109489Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0 2025-12-04T15:06:36.6112037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1788 <- wrt source file 2025-12-04T15:06:36.6114172Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py::_compile_kernel:0 2025-12-04T15:06:36.6115509Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file 2025-12-04T15:06:36.6116822Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::save:0 2025-12-04T15:06:36.6118100Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0, line 422 <- wrt source file 2025-12-04T15:06:36.6119402Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::load:0 2025-12-04T15:06:36.6120775Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0, line 581 <- wrt source file 2025-12-04T15:06:36.6122239Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/__init__.py::register_dataclass:0 2025-12-04T15:06:36.6123734Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0, line 152 <- wrt source file 2025-12-04T15:06:36.6125132Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.then:0 2025-12-04T15:06:36.6126582Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 201 <- wrt source file 2025-12-04T15:06:36.6128123Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.add_done_callback:0 2025-12-04T15:06:36.6129597Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0, line 235 <- wrt source file 2025-12-04T15:06:36.6131060Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_result:0 2025-12-04T15:06:36.6133512Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 265 <- wrt source file 2025-12-04T15:06:36.6135116Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::Future.set_exception:0 2025-12-04T15:06:36.6136534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0, line 299 <- wrt source file 2025-12-04T15:06:36.6137933Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/futures/__init__.py::collect_all:0 2025-12-04T15:06:36.6139616Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file 2025-12-04T15:06:36.6141460Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/__init__.py::annotate:0 2025-12-04T15:06:36.6143451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file 2025-12-04T15:06:36.6145583Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0 2025-12-04T15:06:36.6147516Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0, line 148 <- wrt source file 2025-12-04T15:06:36.6149417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/mps/__init__.py::compile_shader:0 2025-12-04T15:06:36.6151238Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file 2025-12-04T15:06:36.6158735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::as_nested_tensor:0 2025-12-04T15:06:36.6160634Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file 2025-12-04T15:06:36.6165928Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor:0 2025-12-04T15:06:36.6167713Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file 2025-12-04T15:06:36.6224183Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::narrow:0 2025-12-04T15:06:36.6225612Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file 2025-12-04T15:06:36.6233677Z W1204 15:06:36.622000 1704 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T15:06:36.6255980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0 2025-12-04T15:06:36.6257453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file 2025-12-04T15:06:36.6279642Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py::masked_select:0 2025-12-04T15:06:36.6280973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0, line 223 <- wrt source file 2025-12-04T15:06:36.6293941Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::sum:0 2025-12-04T15:06:36.6295906Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file 2025-12-04T15:06:36.6305163Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0 2025-12-04T15:06:36.6307207Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0, line 561 <- wrt source file 2025-12-04T15:06:36.6361127Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/__init__.py::as_sparse_gradcheck:0 2025-12-04T15:06:36.6363186Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 361 <- wrt source file 2025-12-04T15:06:36.6365859Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0 2025-12-04T15:06:36.6368102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 328 <- wrt source file 2025-12-04T15:06:36.6370381Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0 2025-12-04T15:06:36.6372949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0, line 1316 <- wrt source file 2025-12-04T15:06:36.6375785Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/variables/higher_order_ops.py::speculate_subgraph_with_auto_output_flattening:0 2025-12-04T15:06:36.6378200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1441 <- wrt source file 2025-12-04T15:06:36.6380439Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0 2025-12-04T15:06:36.6382767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 194 <- wrt source file 2025-12-04T15:06:36.6385247Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0 2025-12-04T15:06:36.6387491Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0, line 262 <- wrt source file 2025-12-04T15:06:36.6389629Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_export/wrappers.py::allow_in_pre_dispatch_graph:0 2025-12-04T15:06:36.6391665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 771 <- wrt source file 2025-12-04T15:06:36.6754738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py::aot_function:0 2025-12-04T15:06:36.6756438Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file 2025-12-04T15:06:36.6758102Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0 2025-12-04T15:06:36.6759618Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 234 <- wrt source file 2025-12-04T15:06:36.6816943Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::vjp:0 2025-12-04T15:06:36.6818399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 476 <- wrt source file 2025-12-04T15:06:36.6903288Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacrev:0 2025-12-04T15:06:36.6904898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1024 <- wrt source file 2025-12-04T15:06:36.9488984Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jvp:0 2025-12-04T15:06:36.9490460Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1182 <- wrt source file 2025-12-04T15:06:36.9576796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0 2025-12-04T15:06:36.9578470Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1342 <- wrt source file 2025-12-04T15:06:36.9602467Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::hessian:0 2025-12-04T15:06:36.9603987Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1506 <- wrt source file 2025-12-04T15:06:36.9609816Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::functionalize:0 2025-12-04T15:06:36.9611420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1705 <- wrt source file 2025-12-04T15:06:36.9829725Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/eager_transforms.py::linearize:0 2025-12-04T15:06:36.9831272Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file 2025-12-04T15:06:36.9835706Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/functional_call.py::functional_call:0 2025-12-04T15:06:36.9837192Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file 2025-12-04T15:06:36.9838649Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/fx_minifier.py::minifier:0 2025-12-04T15:06:36.9840262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1111 <- wrt source file 2025-12-04T15:06:36.9842061Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0 2025-12-04T15:06:36.9843834Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1166 <- wrt source file 2025-12-04T15:06:36.9845763Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0 2025-12-04T15:06:36.9847453Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 183 <- wrt source file 2025-12-04T15:06:36.9849131Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0 2025-12-04T15:06:36.9850812Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 319 <- wrt source file 2025-12-04T15:06:36.9852667Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0 2025-12-04T15:06:36.9854193Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 139 <- wrt source file 2025-12-04T15:06:36.9855580Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/cond.py::cond:0 2025-12-04T15:06:36.9857050Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file 2025-12-04T15:06:36.9858659Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0 2025-12-04T15:06:36.9860185Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0, line 80 <- wrt source file 2025-12-04T15:06:36.9861613Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/map.py::map:0 2025-12-04T15:06:36.9863245Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0, line 133 <- wrt source file 2025-12-04T15:06:36.9865113Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/partitioner.py::HopPartitionedGraph._reorder_fw_output:0 2025-12-04T15:06:36.9866752Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 130 <- wrt source file 2025-12-04T15:06:36.9868139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py::scan:0 2025-12-04T15:06:36.9869581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 385 <- wrt source file 2025-12-04T15:06:36.9871108Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py::WritableTempFile:0 2025-12-04T15:06:36.9872709Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1845 <- wrt source file 2025-12-04T15:06:36.9874457Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0 2025-12-04T15:06:36.9876131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 4328 <- wrt source file 2025-12-04T15:06:36.9877766Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0 2025-12-04T15:06:36.9879344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0, line 100 <- wrt source file 2025-12-04T15:06:36.9881007Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/fx_passes/graph_view.py::_clean_stack_name:0 2025-12-04T15:06:36.9882573Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0, line 56 <- wrt source file 2025-12-04T15:06:36.9884136Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::CustomOpConfig:0 2025-12-04T15:06:36.9885764Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0, line 423 <- wrt source file 2025-12-04T15:06:36.9887485Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/kernel/custom_op.py::register_custom_op_autotuning:0 2025-12-04T15:06:36.9889213Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0, line 69 <- wrt source file 2025-12-04T15:06:36.9890969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_lock_with_timeout:0 2025-12-04T15:06:36.9892829Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0, line 105 <- wrt source file 2025-12-04T15:06:36.9894689Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_lock_with_timeout:0 2025-12-04T15:06:36.9896498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0, line 142 <- wrt source file 2025-12-04T15:06:36.9898312Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_acquire_flock_with_timeout:0 2025-12-04T15:06:36.9900101Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0, line 179 <- wrt source file 2025-12-04T15:06:36.9901957Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/runtime/caching/locks.py::_unsafe_acquire_flock_with_timeout:0 2025-12-04T15:06:36.9903836Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file 2025-12-04T15:06:36.9905882Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0 2025-12-04T15:06:36.9907475Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0, line 101 <- wrt source file 2025-12-04T15:06:37.0345342Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::custom_op:0 2025-12-04T15:06:37.0346880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 241 <- wrt source file 2025-12-04T15:06:37.0467869Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0 2025-12-04T15:06:37.0469608Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 310 <- wrt source file 2025-12-04T15:06:37.0471252Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0 2025-12-04T15:06:37.0472876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 549 <- wrt source file 2025-12-04T15:06:37.0707593Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0 2025-12-04T15:06:37.0709190Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 724 <- wrt source file 2025-12-04T15:06:37.0944525Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0 2025-12-04T15:06:37.0946135Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 810 <- wrt source file 2025-12-04T15:06:37.0947801Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0 2025-12-04T15:06:37.0949417Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 273 <- wrt source file 2025-12-04T15:06:37.0951027Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0 2025-12-04T15:06:37.0952623Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file 2025-12-04T15:06:37.1057062Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0 2025-12-04T15:06:37.1058760Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 53 <- wrt source file 2025-12-04T15:06:37.1066745Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/infer_schema.py::infer_schema:0 2025-12-04T15:06:37.1068270Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0, line 136 <- wrt source file 2025-12-04T15:06:37.1069660Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::triton_op:0 2025-12-04T15:06:37.1071142Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0, line 307 <- wrt source file 2025-12-04T15:06:37.1072537Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/triton.py::wrap_triton:0 2025-12-04T15:06:37.1073879Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0, line 460 <- wrt source file 2025-12-04T15:06:37.1075270Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_logging/_internal.py::set_logs:0 2025-12-04T15:06:37.1076682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file 2025-12-04T15:06:37.1116071Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_equal:0 2025-12-04T15:06:37.1117542Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0, line 302 <- wrt source file 2025-12-04T15:06:37.1119079Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::print_assert_equal:0 2025-12-04T15:06:37.1120592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0, line 375 <- wrt source file 2025-12-04T15:06:37.1173068Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_almost_equal:0 2025-12-04T15:06:37.1174665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0, line 496 <- wrt source file 2025-12-04T15:06:37.1178085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_approx_equal:0 2025-12-04T15:06:37.1179601Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0, line 793 <- wrt source file 2025-12-04T15:06:37.1251338Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_equal:0 2025-12-04T15:06:37.1252896Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0, line 899 <- wrt source file 2025-12-04T15:06:37.1322889Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal:0 2025-12-04T15:06:37.1324422Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file 2025-12-04T15:06:37.1386513Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0 2025-12-04T15:06:37.1388028Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file 2025-12-04T15:06:37.1389583Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0 2025-12-04T15:06:37.1391211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file 2025-12-04T15:06:37.1411200Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0 2025-12-04T15:06:37.1412774Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file 2025-12-04T15:06:37.1417274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0 2025-12-04T15:06:37.1418950Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file 2025-12-04T15:06:37.1423332Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0 2025-12-04T15:06:37.1424897Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file 2025-12-04T15:06:37.1426341Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0 2025-12-04T15:06:37.1427770Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file 2025-12-04T15:06:37.1431672Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::assert_warns:0 2025-12-04T15:06:37.1433174Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0, line 1881 <- wrt source file 2025-12-04T15:06:37.1435699Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_numpy/testing/utils.py::clear_and_catch_warnings:0 2025-12-04T15:06:37.1437180Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file 2025-12-04T15:06:37.1438660Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_prims/context.py::TorchRefsMode:0 2025-12-04T15:06:37.1440202Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0, line 47 <- wrt source file 2025-12-04T15:06:37.1441920Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_subclasses/complex_tensor/_ops/common.py::is_complex_tensor:0 2025-12-04T15:06:37.1443552Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file 2025-12-04T15:06:37.1444937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/amp/grad_scaler.py::GradScaler:0 2025-12-04T15:06:37.1446491Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 34 <- wrt source file 2025-12-04T15:06:37.1448225Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0 2025-12-04T15:06:37.1450037Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file 2025-12-04T15:06:37.1452068Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0 2025-12-04T15:06:37.1453917Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file 2025-12-04T15:06:37.1455862Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0 2025-12-04T15:06:37.1457693Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file 2025-12-04T15:06:37.1459601Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0 2025-12-04T15:06:37.1461467Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file 2025-12-04T15:06:37.1463298Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0 2025-12-04T15:06:37.1464956Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 29 <- wrt source file 2025-12-04T15:06:37.1474102Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0 2025-12-04T15:06:37.1475876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file 2025-12-04T15:06:37.1516280Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0 2025-12-04T15:06:37.1519377Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 210 <- wrt source file 2025-12-04T15:06:37.1520903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0 2025-12-04T15:06:37.1522365Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 282 <- wrt source file 2025-12-04T15:06:37.1523967Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0 2025-12-04T15:06:37.1525439Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 358 <- wrt source file 2025-12-04T15:06:37.1526945Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0 2025-12-04T15:06:37.1528457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file 2025-12-04T15:06:37.1530052Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0 2025-12-04T15:06:37.1531693Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file 2025-12-04T15:06:37.1537508Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0 2025-12-04T15:06:37.1539232Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file 2025-12-04T15:06:37.1540892Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0 2025-12-04T15:06:37.1542498Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 126 <- wrt source file 2025-12-04T15:06:37.1544151Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0 2025-12-04T15:06:37.1545904Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 212 <- wrt source file 2025-12-04T15:06:37.1547574Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0 2025-12-04T15:06:37.1549244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 300 <- wrt source file 2025-12-04T15:06:37.1551078Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0 2025-12-04T15:06:37.1552832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 383 <- wrt source file 2025-12-04T15:06:37.1554629Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0 2025-12-04T15:06:37.1556384Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 466 <- wrt source file 2025-12-04T15:06:37.1558157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0 2025-12-04T15:06:37.1559850Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file 2025-12-04T15:06:37.1561544Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0 2025-12-04T15:06:37.1563152Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 516 <- wrt source file 2025-12-04T15:06:37.1564767Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0 2025-12-04T15:06:37.1566363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 803 <- wrt source file 2025-12-04T15:06:37.1567950Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0 2025-12-04T15:06:37.1569560Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1209 <- wrt source file 2025-12-04T15:06:37.1571300Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0 2025-12-04T15:06:37.1572930Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1276 <- wrt source file 2025-12-04T15:06:37.1574989Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0 2025-12-04T15:06:37.1577204Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1329 <- wrt source file 2025-12-04T15:06:37.1579464Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0 2025-12-04T15:06:37.1581988Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file 2025-12-04T15:06:37.1584502Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0 2025-12-04T15:06:37.1586973Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0, line 376 <- wrt source file 2025-12-04T15:06:37.1589078Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv1d:0 2025-12-04T15:06:37.1591110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 506 <- wrt source file 2025-12-04T15:06:37.1593157Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0 2025-12-04T15:06:37.1595348Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 636 <- wrt source file 2025-12-04T15:06:37.1597720Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0 2025-12-04T15:06:37.1600159Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 893 <- wrt source file 2025-12-04T15:06:37.1602742Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0 2025-12-04T15:06:37.1605156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1015 <- wrt source file 2025-12-04T15:06:37.1607417Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0 2025-12-04T15:06:37.1609614Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1141 <- wrt source file 2025-12-04T15:06:37.1611927Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0 2025-12-04T15:06:37.1614141Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file 2025-12-04T15:06:37.1616518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0 2025-12-04T15:06:37.1618779Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file 2025-12-04T15:06:37.1621142Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0 2025-12-04T15:06:37.1623500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file 2025-12-04T15:06:37.1626000Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0 2025-12-04T15:06:37.1628408Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file 2025-12-04T15:06:37.1630831Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0 2025-12-04T15:06:37.1633047Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 135 <- wrt source file 2025-12-04T15:06:37.1635125Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0 2025-12-04T15:06:37.1637110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0, line 24 <- wrt source file 2025-12-04T15:06:37.1639200Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py::LSTM:0 2025-12-04T15:06:37.1641686Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0, line 98 <- wrt source file 2025-12-04T15:06:37.1655165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py::BaseDataScheduler.get_schedule_param:0 2025-12-04T15:06:37.1657359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file 2025-12-04T15:06:37.1659600Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0 2025-12-04T15:06:37.1661488Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file 2025-12-04T15:06:37.1663174Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0 2025-12-04T15:06:37.1664871Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file 2025-12-04T15:06:37.1666732Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0 2025-12-04T15:06:37.1668638Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0, line 251 <- wrt source file 2025-12-04T15:06:37.1670559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier.squash_mask:0 2025-12-04T15:06:37.1672318Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 175 <- wrt source file 2025-12-04T15:06:37.1673909Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0 2025-12-04T15:06:37.1675514Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 32 <- wrt source file 2025-12-04T15:06:37.1680946Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0 2025-12-04T15:06:37.1682644Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 83 <- wrt source file 2025-12-04T15:06:37.1689737Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0 2025-12-04T15:06:37.1691533Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 143 <- wrt source file 2025-12-04T15:06:37.1697507Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0 2025-12-04T15:06:37.1699260Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 182 <- wrt source file 2025-12-04T15:06:37.1705711Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0 2025-12-04T15:06:37.1707623Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file 2025-12-04T15:06:37.1709324Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_args:0 2025-12-04T15:06:37.1710865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file 2025-12-04T15:06:37.1712500Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0 2025-12-04T15:06:37.1714227Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file 2025-12-04T15:06:37.1715744Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0 2025-12-04T15:06:37.1717378Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file 2025-12-04T15:06:37.1719098Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0 2025-12-04T15:06:37.1720791Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file 2025-12-04T15:06:37.1722466Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0 2025-12-04T15:06:37.1724132Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file 2025-12-04T15:06:37.1725680Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0 2025-12-04T15:06:37.1727465Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file 2025-12-04T15:06:37.1729375Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0 2025-12-04T15:06:37.1731213Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file 2025-12-04T15:06:37.1733082Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0 2025-12-04T15:06:37.1734961Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file 2025-12-04T15:06:37.1736703Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0 2025-12-04T15:06:37.1738486Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file 2025-12-04T15:06:37.1740284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0 2025-12-04T15:06:37.1741966Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file 2025-12-04T15:06:37.1743577Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0 2025-12-04T15:06:37.1745309Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 171 <- wrt source file 2025-12-04T15:06:37.1747004Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0 2025-12-04T15:06:37.1748539Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 553 <- wrt source file 2025-12-04T15:06:37.1750094Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0 2025-12-04T15:06:37.1751913Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 575 <- wrt source file 2025-12-04T15:06:37.1753730Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0 2025-12-04T15:06:37.1755361Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 589 <- wrt source file 2025-12-04T15:06:37.1757044Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0 2025-12-04T15:06:37.1758718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 611 <- wrt source file 2025-12-04T15:06:37.1760412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0 2025-12-04T15:06:37.1762172Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 738 <- wrt source file 2025-12-04T15:06:37.1763725Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0 2025-12-04T15:06:37.1765493Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0, line 216 <- wrt source file 2025-12-04T15:06:37.1767501Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py::DTypeConfig:0 2025-12-04T15:06:37.1769463Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file 2025-12-04T15:06:37.1771561Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0 2025-12-04T15:06:37.1773448Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0, line 85 <- wrt source file 2025-12-04T15:06:37.1775254Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py::ModelReport:0 2025-12-04T15:06:37.1777299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0, line 341 <- wrt source file 2025-12-04T15:06:37.1779669Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_filtered_tables:0 2025-12-04T15:06:37.1782277Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0, line 429 <- wrt source file 2025-12-04T15:06:37.1784714Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_table_visualization:0 2025-12-04T15:06:37.1787221Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0, line 591 <- wrt source file 2025-12-04T15:06:37.1789622Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_plot_visualization:0 2025-12-04T15:06:37.1792048Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0, line 664 <- wrt source file 2025-12-04T15:06:37.1794594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py::ModelReportVisualizer.generate_histogram_visualization:0 2025-12-04T15:06:37.1796682Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 104 <- wrt source file 2025-12-04T15:06:37.1798631Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0 2025-12-04T15:06:37.1800457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 155 <- wrt source file 2025-12-04T15:06:37.1802389Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0 2025-12-04T15:06:37.1804176Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file 2025-12-04T15:06:37.1806171Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0 2025-12-04T15:06:37.1808177Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 442 <- wrt source file 2025-12-04T15:06:37.1810088Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0 2025-12-04T15:06:37.1811857Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0, line 28 <- wrt source file 2025-12-04T15:06:37.1813492Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/anomaly_mode.py::detect_anomaly:0 2025-12-04T15:06:37.1814921Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0, line 82 <- wrt source file 2025-12-04T15:06:37.1816380Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::make_dual:0 2025-12-04T15:06:37.1817832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0, line 151 <- wrt source file 2025-12-04T15:06:37.1819281Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::unpack_dual:0 2025-12-04T15:06:37.1820798Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/forward_ad.py::dual_level:0, line 187 <- wrt source file 2025-12-04T15:06:37.1822223Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0, line 907 <- wrt source file 2025-12-04T15:06:37.1853356Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hessian:0 2025-12-04T15:06:37.1854817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0, line 1026 <- wrt source file 2025-12-04T15:06:37.1856281Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::vhp:0 2025-12-04T15:06:37.1857630Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0, line 1125 <- wrt source file 2025-12-04T15:06:37.1859003Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/functional.py::hvp:0 2025-12-04T15:06:37.1860341Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0, line 50 <- wrt source file 2025-12-04T15:06:37.1861778Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::no_grad:0 2025-12-04T15:06:37.1863167Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0, line 108 <- wrt source file 2025-12-04T15:06:37.1864596Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::enable_grad:0 2025-12-04T15:06:37.1866026Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file 2025-12-04T15:06:37.1867537Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0 2025-12-04T15:06:37.1868983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 252 <- wrt source file 2025-12-04T15:06:37.1870454Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::Node.register_prehook:0 2025-12-04T15:06:37.1881076Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0, line 292 <- wrt source file 2025-12-04T15:06:37.1882569Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::saved_tensors_hooks:0 2025-12-04T15:06:37.1883972Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0, line 362 <- wrt source file 2025-12-04T15:06:37.1885353Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::save_on_cpu:0 2025-12-04T15:06:37.1886801Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py::disable_saved_tensors_hooks:0, line 419 <- wrt source file 2025-12-04T15:06:37.1888389Z * SKIPPED: 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2025-12-04T15:06:37.1940938Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0, line 60 <- wrt source file 2025-12-04T15:06:37.1943660Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/profiler_util.py::EventList:0 2025-12-04T15:06:37.1945450Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 43 <- wrt source file 2025-12-04T15:06:37.1947128Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_register_buffer:0 2025-12-04T15:06:37.1948537Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 59 <- wrt source file 2025-12-04T15:06:37.1950932Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0 2025-12-04T15:06:37.1953298Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0, line 86 <- wrt source file 2025-12-04T15:06:37.1955857Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/gds.py::GdsFile:0 2025-12-04T15:06:37.1957187Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file 2025-12-04T15:06:37.1961769Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0 2025-12-04T15:06:37.1963527Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1, line 125 <- wrt source file 2025-12-04T15:06:37.1965762Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1 2025-12-04T15:06:37.1967137Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file 2025-12-04T15:06:37.1968554Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2 2025-12-04T15:06:37.1970031Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file 2025-12-04T15:06:37.1971692Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0 2025-12-04T15:06:37.1973154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file 2025-12-04T15:06:37.1974495Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/profiler.py::profile:0 2025-12-04T15:06:37.1976088Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_mesh_layout.py::_MeshLayout.composition:0, line 125 <- wrt source file 2025-12-04T15:06:37.1977774Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh:0 2025-12-04T15:06:37.1991125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0, line 1027 <- wrt source file 2025-12-04T15:06:37.1992816Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::DeviceMesh.get_local_rank:0 2025-12-04T15:06:37.1994425Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0, line 1317 <- wrt source file 2025-12-04T15:06:37.1996052Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py::init_device_mesh:0 2025-12-04T15:06:37.1998426Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2652 <- wrt source file 2025-12-04T15:06:37.2001093Z * SKIPPED: 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* SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0 2025-12-04T15:06:37.2034592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0, line 3947 <- wrt source file 2025-12-04T15:06:37.2037185Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather:0 2025-12-04T15:06:37.2039810Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 4054 <- wrt source file 2025-12-04T15:06:37.2041940Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0 2025-12-04T15:06:37.2043759Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4192 <- wrt source file 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0 2025-12-04T15:06:37.2066725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0, line 4663 <- wrt source file 2025-12-04T15:06:37.2069228Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all_single:0 2025-12-04T15:06:37.2070886Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0, line 4797 <- wrt source file 2025-12-04T15:06:37.2072910Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::all_to_all:0 2025-12-04T15:06:37.2074497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 5009 <- wrt source file 2025-12-04T15:06:37.2077139Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0 2025-12-04T15:06:37.2080260Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5562 <- wrt source file 2025-12-04T15:06:37.2083459Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0 2025-12-04T15:06:37.2086782Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 5656 <- wrt source file 2025-12-04T15:06:37.2089337Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0 2025-12-04T15:06:37.2090885Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/launch.py::__doc__:0, line 84 <- wrt source file 2025-12-04T15:06:37.2093448Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/launch.py::__doc__:0 2025-12-04T15:06:37.2095383Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file 2025-12-04T15:06:37.2097258Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/run.py::__doc__:0 2025-12-04T15:06:37.2099164Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0, line 47 <- wrt source file 2025-12-04T15:06:37.2101264Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/autograd/__init__.py::context:0 2025-12-04T15:06:37.2104596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py::checkpoint:0, line 53 <- wrt source file 2025-12-04T15:06:37.2108094Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_composable/replicate_with_fsdp.py::replicate:0 2025-12-04T15:06:37.2121005Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0, line 31 <- wrt source file 2025-12-04T15:06:37.2122956Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py::named_params_with_sharded_tensor:0 2025-12-04T15:06:37.2124795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0, line 384 <- wrt source file 2025-12-04T15:06:37.2126621Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py::init_from_local_shards:0 2025-12-04T15:06:37.2128426Z * DOCTEST : 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0, line 173 <- wrt source file 2025-12-04T15:06:37.2306652Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/format_utils.py::DynamicMetaLoadPlanner:0 2025-12-04T15:06:37.2308511Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0, line 228 <- wrt source file 2025-12-04T15:06:37.2310936Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py::load_sharded_optimizer_state_dict:0 2025-12-04T15:06:37.2312731Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/state_dict.py::get_state_dict:0, line 1276 <- wrt source file 2025-12-04T15:06:37.2314436Z * SKIPPED: 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2025-12-04T15:06:37.2612243Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0, line 198 <- wrt source file 2025-12-04T15:06:37.2614062Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::RowwiseParallel:0 2025-12-04T15:06:37.2616217Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0, line 350 <- wrt source file 2025-12-04T15:06:37.2617969Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::SequenceParallel:0 2025-12-04T15:06:37.2620065Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/tensor/parallel/style.py::PrepareModuleInput:0, line 452 <- wrt source file 2025-12-04T15:06:37.2622004Z * SKIPPED: 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2025-12-04T15:06:37.2633370Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/bernoulli.py::Bernoulli:0 2025-12-04T15:06:37.2634840Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file 2025-12-04T15:06:37.2636732Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/beta.py::Beta:0 2025-12-04T15:06:37.2638131Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file 2025-12-04T15:06:37.2639670Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/binomial.py::Binomial:0 2025-12-04T15:06:37.2641282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file 2025-12-04T15:06:37.2643227Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/categorical.py::Categorical:0 2025-12-04T15:06:37.2644680Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file 2025-12-04T15:06:37.2646360Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/cauchy.py::Cauchy:0 2025-12-04T15:06:37.2647949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file 2025-12-04T15:06:37.2649316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/chi2.py::Chi2:0 2025-12-04T15:06:37.2650758Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0, line 167 <- wrt source file 2025-12-04T15:06:37.2652527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::is_dependent:0 2025-12-04T15:06:37.2654144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 188 <- wrt source file 2025-12-04T15:06:37.2656319Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/constraints.py::_DependentProperty:0 2025-12-04T15:06:37.2658019Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file 2025-12-04T15:06:37.2659816Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0 2025-12-04T15:06:37.2661425Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 44 <- wrt source file 2025-12-04T15:06:37.2662919Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/dirichlet.py::Dirichlet:0 2025-12-04T15:06:37.2664432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file 2025-12-04T15:06:37.2666387Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/exponential.py::Exponential:0 2025-12-04T15:06:37.2668092Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file 2025-12-04T15:06:37.2669738Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0 2025-12-04T15:06:37.2671642Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file 2025-12-04T15:06:37.2673105Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gamma.py::Gamma:0 2025-12-04T15:06:37.2674830Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file 2025-12-04T15:06:37.2676925Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0 2025-12-04T15:06:37.2678508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file 2025-12-04T15:06:37.2680277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/geometric.py::Geometric:0 2025-12-04T15:06:37.2682494Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file 2025-12-04T15:06:37.2683909Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/gumbel.py::Gumbel:0 2025-12-04T15:06:37.2685353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file 2025-12-04T15:06:37.2687386Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0 2025-12-04T15:06:37.2688878Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file 2025-12-04T15:06:37.2690453Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/half_normal.py::HalfNormal:0 2025-12-04T15:06:37.2692507Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file 2025-12-04T15:06:37.2694651Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/independent.py::Independent:0 2025-12-04T15:06:37.2696214Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file 2025-12-04T15:06:37.2697894Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0 2025-12-04T15:06:37.2700354Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file 2025-12-04T15:06:37.2713965Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0 2025-12-04T15:06:37.2716534Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file 2025-12-04T15:06:37.2718026Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/laplace.py::Laplace:0 2025-12-04T15:06:37.2719511Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file 2025-12-04T15:06:37.2721597Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0 2025-12-04T15:06:37.2723093Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file 2025-12-04T15:06:37.2724750Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/log_normal.py::LogNormal:0 2025-12-04T15:06:37.2726662Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file 2025-12-04T15:06:37.2728312Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0 2025-12-04T15:06:37.2730708Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0, line 63 <- wrt source file 2025-12-04T15:06:37.2732773Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py::LowRankMultivariateNormal:0 2025-12-04T15:06:37.2734894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0, line 24 <- wrt source file 2025-12-04T15:06:37.2737443Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/mixture_same_family.py::MixtureSameFamily:0 2025-12-04T15:06:37.2739134Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file 2025-12-04T15:06:37.2741131Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multinomial.py::Multinomial:0 2025-12-04T15:06:37.2742785Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file 2025-12-04T15:06:37.2744554Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0 2025-12-04T15:06:37.2746103Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file 2025-12-04T15:06:37.2747499Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/normal.py::Normal:0 2025-12-04T15:06:37.2749158Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file 2025-12-04T15:06:37.2750896Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0 2025-12-04T15:06:37.2752432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file 2025-12-04T15:06:37.2753833Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/pareto.py::Pareto:0 2025-12-04T15:06:37.2755244Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file 2025-12-04T15:06:37.2756686Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/poisson.py::Poisson:0 2025-12-04T15:06:37.2758242Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0, line 130 <- wrt source file 2025-12-04T15:06:37.2759943Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py::RelaxedBernoulli:0 2025-12-04T15:06:37.2761679Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0, line 117 <- wrt source file 2025-12-04T15:06:37.2763509Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/relaxed_categorical.py::RelaxedOneHotCategorical:0 2025-12-04T15:06:37.2765125Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file 2025-12-04T15:06:37.2766602Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/studentT.py::StudentT:0 2025-12-04T15:06:37.2768087Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1076 <- wrt source file 2025-12-04T15:06:37.2769699Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CatTransform:0 2025-12-04T15:06:37.2771353Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1190 <- wrt source file 2025-12-04T15:06:37.2773013Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::StackTransform:0 2025-12-04T15:06:37.2774720Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1268 <- wrt source file 2025-12-04T15:06:37.2776557Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0 2025-12-04T15:06:37.2778156Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file 2025-12-04T15:06:37.2779594Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/uniform.py::Uniform:0 2025-12-04T15:06:37.2781013Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file 2025-12-04T15:06:37.2782466Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/utils.py::clamp_probs:0 2025-12-04T15:06:37.2783909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0, line 119 <- wrt source file 2025-12-04T15:06:37.2785403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/von_mises.py::VonMises:0 2025-12-04T15:06:37.2786867Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file 2025-12-04T15:06:37.2788297Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/weibull.py::Weibull:0 2025-12-04T15:06:37.2789698Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file 2025-12-04T15:06:37.2791136Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributions/wishart.py::Wishart:0 2025-12-04T15:06:37.2792583Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0, line 158 <- wrt source file 2025-12-04T15:06:37.2794119Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py::_convert_guards_code_to_fn:0 2025-12-04T15:06:37.2795568Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 123 <- wrt source file 2025-12-04T15:06:37.2797768Z * SKIPPED: 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/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file 2025-12-04T15:06:37.3025928Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0 2025-12-04T15:06:37.3027731Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 37 <- wrt source file 2025-12-04T15:06:37.3029389Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0 2025-12-04T15:06:37.3030953Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file 2025-12-04T15:06:37.3032559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0 2025-12-04T15:06:37.3034251Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 125 <- wrt source file 2025-12-04T15:06:37.3035918Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0 2025-12-04T15:06:37.3037504Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 225 <- wrt source file 2025-12-04T15:06:37.3039057Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0 2025-12-04T15:06:37.3040477Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0, line 1538 <- wrt source file 2025-12-04T15:06:37.3041805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/_ops.py::logaddexp:0 2025-12-04T15:06:37.3043228Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file 2025-12-04T15:06:37.3044859Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0 2025-12-04T15:06:37.3046497Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 470 <- wrt source file 2025-12-04T15:06:37.3048184Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0 2025-12-04T15:06:37.3049801Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 589 <- wrt source file 2025-12-04T15:06:37.3812805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0 2025-12-04T15:06:37.3829420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2198 <- wrt source file 2025-12-04T15:06:37.3840557Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::gumbel_softmax:0 2025-12-04T15:06:37.3842718Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0, line 2503 <- wrt source file 2025-12-04T15:06:37.3853128Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding:0 2025-12-04T15:06:37.3854968Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0, line 2645 <- wrt source file 2025-12-04T15:06:37.3867783Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::embedding_bag:0 2025-12-04T15:06:37.3869578Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0, line 3087 <- wrt source file 2025-12-04T15:06:37.3885524Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::ctc_loss:0 2025-12-04T15:06:37.3887311Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0, line 3157 <- wrt source file 2025-12-04T15:06:37.3894581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::nll_loss:0 2025-12-04T15:06:37.3896404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0, line 3476 <- wrt source file 2025-12-04T15:06:37.3907230Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::cross_entropy:0 2025-12-04T15:06:37.3909299Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3542 <- wrt source file 2025-12-04T15:06:37.3916321Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy:0 2025-12-04T15:06:37.3918428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3613 <- wrt source file 2025-12-04T15:06:37.3925603Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0 2025-12-04T15:06:37.3927540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0, line 5387 <- wrt source file 2025-12-04T15:06:37.3939805Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py::pad:0 2025-12-04T15:06:37.3941513Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file 2025-12-04T15:06:37.3950730Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_input:0 2025-12-04T15:06:37.3952632Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file 2025-12-04T15:06:37.3958041Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv1d_weight:0 2025-12-04T15:06:37.3959766Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file 2025-12-04T15:06:37.3968678Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_input:0 2025-12-04T15:06:37.3970404Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file 2025-12-04T15:06:37.3976238Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv2d_weight:0 2025-12-04T15:06:37.3977977Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file 2025-12-04T15:06:37.4016306Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_input:0 2025-12-04T15:06:37.4018717Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file 2025-12-04T15:06:37.4040810Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/grad.py::conv3d_weight:0 2025-12-04T15:06:37.4043067Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0, line 172 <- wrt source file 2025-12-04T15:06:37.4045561Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::calculate_gain:0 2025-12-04T15:06:37.4047260Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0, line 231 <- wrt source file 2025-12-04T15:06:37.4050218Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::uniform_:0 2025-12-04T15:06:37.4052118Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0, line 258 <- wrt source file 2025-12-04T15:06:37.4054895Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::normal_:0 2025-12-04T15:06:37.4056596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0, line 293 <- wrt source file 2025-12-04T15:06:37.4060414Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::trunc_normal_:0 2025-12-04T15:06:37.4062113Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0, line 307 <- wrt source file 2025-12-04T15:06:37.4065590Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::constant_:0 2025-12-04T15:06:37.4067239Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0, line 324 <- wrt source file 2025-12-04T15:06:37.4070289Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::ones_:0 2025-12-04T15:06:37.4071894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0, line 337 <- wrt source file 2025-12-04T15:06:37.4074636Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::zeros_:0 2025-12-04T15:06:37.4076251Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0, line 353 <- wrt source file 2025-12-04T15:06:37.4079316Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::eye_:0 2025-12-04T15:06:37.4081040Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0, line 375 <- wrt source file 2025-12-04T15:06:37.4085868Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::dirac_:0 2025-12-04T15:06:37.4087595Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0, line 461 <- wrt source file 2025-12-04T15:06:37.4091037Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_uniform_:0 2025-12-04T15:06:37.4092424Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0, line 493 <- wrt source file 2025-12-04T15:06:37.4095965Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::xavier_normal_:0 2025-12-04T15:06:37.4097335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 545 <- wrt source file 2025-12-04T15:06:37.4100547Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_uniform_:0 2025-12-04T15:06:37.4101880Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0, line 610 <- wrt source file 2025-12-04T15:06:37.4105566Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::kaiming_normal_:0 2025-12-04T15:06:37.4106875Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0, line 649 <- wrt source file 2025-12-04T15:06:37.4108189Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::orthogonal_:0 2025-12-04T15:06:37.4109444Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0, line 702 <- wrt source file 2025-12-04T15:06:37.4113269Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/init.py::sparse_:0 2025-12-04T15:06:37.4114986Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 124 <- wrt source file 2025-12-04T15:06:37.4116717Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0 2025-12-04T15:06:37.4118278Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0, line 47 <- wrt source file 2025-12-04T15:06:37.4120065Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::register_flash_attention_impl:0 2025-12-04T15:06:37.4121740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0, line 78 <- wrt source file 2025-12-04T15:06:37.4123449Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/_registry.py::activate_flash_attention_impl:0 2025-12-04T15:06:37.4124992Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 94 <- wrt source file 2025-12-04T15:06:37.4126401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/bias.py::CausalBias:0 2025-12-04T15:06:37.4127817Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0, line 166 <- wrt source file 2025-12-04T15:06:37.4129274Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/attention/varlen.py::varlen_attn:0 2025-12-04T15:06:37.4130702Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file 2025-12-04T15:06:37.4132364Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Threshold:0 2025-12-04T15:06:37.4133771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file 2025-12-04T15:06:37.4135180Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU:0 2025-12-04T15:06:37.4136558Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file 2025-12-04T15:06:37.4140125Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::RReLU:0 2025-12-04T15:06:37.4141524Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file 2025-12-04T15:06:37.4145856Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardtanh:0 2025-12-04T15:06:37.4147266Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file 2025-12-04T15:06:37.4151233Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ReLU6:0 2025-12-04T15:06:37.4152639Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file 2025-12-04T15:06:37.4156594Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Sigmoid:0 2025-12-04T15:06:37.4158036Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file 2025-12-04T15:06:37.4162575Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0 2025-12-04T15:06:37.4164004Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file 2025-12-04T15:06:37.4167757Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanh:0 2025-12-04T15:06:37.4169133Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file 2025-12-04T15:06:37.4174181Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SiLU:0 2025-12-04T15:06:37.4175620Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file 2025-12-04T15:06:37.4180037Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Mish:0 2025-12-04T15:06:37.4181447Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file 2025-12-04T15:06:37.4185986Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardswish:0 2025-12-04T15:06:37.4187399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file 2025-12-04T15:06:37.4192357Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::ELU:0 2025-12-04T15:06:37.4193743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file 2025-12-04T15:06:37.4198116Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::CELU:0 2025-12-04T15:06:37.4199585Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file 2025-12-04T15:06:37.4204052Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::SELU:0 2025-12-04T15:06:37.4205596Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file 2025-12-04T15:06:37.4210735Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GLU:0 2025-12-04T15:06:37.4212179Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file 2025-12-04T15:06:37.4220204Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::GELU:0 2025-12-04T15:06:37.4222137Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file 2025-12-04T15:06:37.4226545Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Hardshrink:0 2025-12-04T15:06:37.4228480Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file 2025-12-04T15:06:37.4231976Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LeakyReLU:0 2025-12-04T15:06:37.4233931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file 2025-12-04T15:06:37.4237468Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSigmoid:0 2025-12-04T15:06:37.4239428Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file 2025-12-04T15:06:37.4243892Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softplus:0 2025-12-04T15:06:37.4245853Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file 2025-12-04T15:06:37.4249894Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softshrink:0 2025-12-04T15:06:37.4252109Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1148 <- wrt source file 2025-12-04T15:06:37.4254284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0 2025-12-04T15:06:37.4256282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1613 <- wrt source file 2025-12-04T15:06:37.4258205Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::PReLU:0 2025-12-04T15:06:37.4260109Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1664 <- wrt source file 2025-12-04T15:06:37.4263323Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softsign:0 2025-12-04T15:06:37.4265255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1690 <- wrt source file 2025-12-04T15:06:37.4269188Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Tanhshrink:0 2025-12-04T15:06:37.4271240Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1728 <- wrt source file 2025-12-04T15:06:37.4275443Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmin:0 2025-12-04T15:06:37.4277355Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1792 <- wrt source file 2025-12-04T15:06:37.4281644Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax:0 2025-12-04T15:06:37.4283581Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1839 <- wrt source file 2025-12-04T15:06:37.4288282Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::Softmax2d:0 2025-12-04T15:06:37.4290540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1878 <- wrt source file 2025-12-04T15:06:37.4294581Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/activation.py::LogSoftmax:0 2025-12-04T15:06:37.4296545Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 341 <- wrt source file 2025-12-04T15:06:37.4305204Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0 2025-12-04T15:06:37.4307188Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 453 <- wrt source file 2025-12-04T15:06:37.4505729Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0 2025-12-04T15:06:37.4508146Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 565 <- wrt source file 2025-12-04T15:06:37.6982985Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0 2025-12-04T15:06:37.7122381Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0, line 690 <- wrt source file 2025-12-04T15:06:37.7124878Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm:0 2025-12-04T15:06:37.7126508Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0, line 857 <- wrt source file 2025-12-04T15:06:37.7128474Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/batchnorm.py::SyncBatchNorm.convert_sync_batchnorm:0 2025-12-04T15:06:37.7130164Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file 2025-12-04T15:06:37.7154700Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0 2025-12-04T15:06:37.7156719Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file 2025-12-04T15:06:37.7158676Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential:0 2025-12-04T15:06:37.7160687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 263 <- wrt source file 2025-12-04T15:06:37.7169623Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.append:0 2025-12-04T15:06:37.7171960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 286 <- wrt source file 2025-12-04T15:06:37.7181774Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.insert:0 2025-12-04T15:06:37.7183846Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 317 <- wrt source file 2025-12-04T15:06:37.7195022Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::Sequential.extend:0 2025-12-04T15:06:37.7196528Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0, line 346 <- wrt source file 2025-12-04T15:06:37.7198012Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleList:0 2025-12-04T15:06:37.7199456Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 529 <- wrt source file 2025-12-04T15:06:37.7200932Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ModuleDict:0 2025-12-04T15:06:37.7202397Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0, line 661 <- wrt source file 2025-12-04T15:06:37.7203903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterList:0 2025-12-04T15:06:37.7205561Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 819 <- wrt source file 2025-12-04T15:06:37.7207089Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/container.py::ParameterDict:0 2025-12-04T15:06:37.7208594Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file 2025-12-04T15:06:37.7210229Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0 2025-12-04T15:06:37.7211803Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file 2025-12-04T15:06:37.7219521Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0 2025-12-04T15:06:37.7221056Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file 2025-12-04T15:06:37.7226205Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout:0 2025-12-04T15:06:37.7227587Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file 2025-12-04T15:06:37.7233777Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout1d:0 2025-12-04T15:06:37.7235185Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file 2025-12-04T15:06:37.7259528Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout2d:0 2025-12-04T15:06:37.7261413Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file 2025-12-04T15:06:37.7337233Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::Dropout3d:0 2025-12-04T15:06:37.7339576Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file 2025-12-04T15:06:37.7343379Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0 2025-12-04T15:06:37.7345420Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file 2025-12-04T15:06:37.7419818Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0 2025-12-04T15:06:37.7422095Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 29 <- wrt source file 2025-12-04T15:06:37.7428502Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Flatten:0 2025-12-04T15:06:37.7430376Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0, line 86 <- wrt source file 2025-12-04T15:06:37.7450317Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/flatten.py::Unflatten:0 2025-12-04T15:06:37.7452219Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file 2025-12-04T15:06:37.7457873Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Fold:0 2025-12-04T15:06:37.7459632Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file 2025-12-04T15:06:37.7477180Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/fold.py::Unfold:0 2025-12-04T15:06:37.7479157Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 188 <- wrt source file 2025-12-04T15:06:37.7492216Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0 2025-12-04T15:06:37.7494478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 304 <- wrt source file 2025-12-04T15:06:37.7677064Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0 2025-12-04T15:06:37.7679477Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 420 <- wrt source file 2025-12-04T15:06:38.0144587Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0 2025-12-04T15:06:38.0276795Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file 2025-12-04T15:06:38.0282099Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0 2025-12-04T15:06:38.0283525Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file 2025-12-04T15:06:38.0291584Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Identity:0 2025-12-04T15:06:38.0292948Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file 2025-12-04T15:06:38.0303693Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Linear:0 2025-12-04T15:06:38.0305322Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file 2025-12-04T15:06:38.0328226Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/linear.py::Bilinear:0 2025-12-04T15:06:38.0329598Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 116 <- wrt source file 2025-12-04T15:06:38.0339380Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::L1Loss:0 2025-12-04T15:06:38.0340758Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 213 <- wrt source file 2025-12-04T15:06:38.0375636Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::NLLLoss:0 2025-12-04T15:06:38.0377540Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 327 <- wrt source file 2025-12-04T15:06:38.0384954Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0 2025-12-04T15:06:38.0386898Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 416 <- wrt source file 2025-12-04T15:06:38.0405588Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0 2025-12-04T15:06:38.0407477Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 531 <- wrt source file 2025-12-04T15:06:38.0417102Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::KLDivLoss:0 2025-12-04T15:06:38.0419168Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 613 <- wrt source file 2025-12-04T15:06:38.0425854Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MSELoss:0 2025-12-04T15:06:38.0427632Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 696 <- wrt source file 2025-12-04T15:06:38.0435570Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCELoss:0 2025-12-04T15:06:38.0437459Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 762 <- wrt source file 2025-12-04T15:06:38.0451403Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0 2025-12-04T15:06:38.0453490Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 810 <- wrt source file 2025-12-04T15:06:38.0459915Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1 2025-12-04T15:06:38.0462236Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 958 <- wrt source file 2025-12-04T15:06:38.0471827Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0 2025-12-04T15:06:38.0473829Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1284 <- wrt source file 2025-12-04T15:06:38.0483973Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0 2025-12-04T15:06:38.0486233Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1311 <- wrt source file 2025-12-04T15:06:38.0488547Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1 2025-12-04T15:06:38.0490700Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1464 <- wrt source file 2025-12-04T15:06:38.0501395Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0 2025-12-04T15:06:38.0503433Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1531 <- wrt source file 2025-12-04T15:06:38.0511105Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0 2025-12-04T15:06:38.0513102Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1612 <- wrt source file 2025-12-04T15:06:38.0522274Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0 2025-12-04T15:06:38.0524252Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1714 <- wrt source file 2025-12-04T15:06:38.0537244Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0 2025-12-04T15:06:38.0538828Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0, line 1827 <- wrt source file 2025-12-04T15:06:38.0563753Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::TripletMarginWithDistanceLoss:0 2025-12-04T15:06:38.0566079Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0, line 1959 <- wrt source file 2025-12-04T15:06:38.0596171Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/loss.py::CTCLoss:0 2025-12-04T15:06:38.0598138Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 554 <- wrt source file 2025-12-04T15:06:38.0600434Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.register_buffer:0 2025-12-04T15:06:38.0602457Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1048 <- wrt source file 2025-12-04T15:06:38.0616329Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.apply:0 2025-12-04T15:06:38.0618323Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0, line 1299 <- wrt source file 2025-12-04T15:06:38.0626518Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.to:0 2025-12-04T15:06:38.0628485Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2232 <- wrt source file 2025-12-04T15:06:38.0630547Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.state_dict:0 2025-12-04T15:06:38.0632552Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2678 <- wrt source file 2025-12-04T15:06:38.0634580Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.parameters:0 2025-12-04T15:06:38.0636645Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2706 <- wrt source file 2025-12-04T15:06:38.0638871Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_parameters:0 2025-12-04T15:06:38.0640964Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2733 <- wrt source file 2025-12-04T15:06:38.0642968Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.buffers:0 2025-12-04T15:06:38.0644524Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2760 <- wrt source file 2025-12-04T15:06:38.0646074Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_buffers:0 2025-12-04T15:06:38.0647611Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2791 <- wrt source file 2025-12-04T15:06:38.0649176Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_children:0 2025-12-04T15:06:38.0650659Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2815 <- wrt source file 2025-12-04T15:06:38.0652227Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.modules:0 2025-12-04T15:06:38.0653721Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2853 <- wrt source file 2025-12-04T15:06:38.0655277Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py::Module.named_modules:0 2025-12-04T15:06:38.0656841Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file 2025-12-04T15:06:38.0685000Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0 2025-12-04T15:06:38.0687725Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file 2025-12-04T15:06:38.0697633Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::LayerNorm:0 2025-12-04T15:06:38.0699931Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file 2025-12-04T15:06:38.0708401Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::GroupNorm:0 2025-12-04T15:06:38.0710402Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 369 <- wrt source file 2025-12-04T15:06:38.0716354Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/normalization.py::RMSNorm:0 2025-12-04T15:06:38.0718335Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file 2025-12-04T15:06:38.0725751Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad1d:0 2025-12-04T15:06:38.0727694Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 123 <- wrt source file 2025-12-04T15:06:38.0754298Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad2d:0 2025-12-04T15:06:38.0755767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 189 <- wrt source file 2025-12-04T15:06:38.6818126Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::CircularPad3d:0 2025-12-04T15:06:38.7101500Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 244 <- wrt source file 2025-12-04T15:06:38.7115903Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0 2025-12-04T15:06:38.7118455Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 298 <- wrt source file 2025-12-04T15:06:38.7126059Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0 2025-12-04T15:06:38.7127572Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 355 <- wrt source file 2025-12-04T15:06:38.7151758Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0 2025-12-04T15:06:38.7153767Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 401 <- wrt source file 2025-12-04T15:06:38.7160418Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0 2025-12-04T15:06:38.7162427Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 446 <- wrt source file 2025-12-04T15:06:38.7168818Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0 2025-12-04T15:06:38.7170814Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 505 <- wrt source file 2025-12-04T15:06:38.7174715Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0 2025-12-04T15:06:38.7176730Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 565 <- wrt source file 2025-12-04T15:06:38.7182171Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0 2025-12-04T15:06:38.7184203Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 610 <- wrt source file 2025-12-04T15:06:38.7190548Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0 2025-12-04T15:06:38.7192553Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 669 <- wrt source file 2025-12-04T15:06:39.2206366Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0 2025-12-04T15:06:39.2487267Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 704 <- wrt source file 2025-12-04T15:06:39.2500796Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0 2025-12-04T15:06:39.2502209Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 762 <- wrt source file 2025-12-04T15:06:39.2509688Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0 2025-12-04T15:06:39.2511090Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 824 <- wrt source file 2025-12-04T15:06:39.2535831Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0 2025-12-04T15:06:39.2537922Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file 2025-12-04T15:06:39.2543163Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0 2025-12-04T15:06:39.2545250Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file 2025-12-04T15:06:39.2551069Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0 2025-12-04T15:06:39.2553062Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file 2025-12-04T15:06:39.2558789Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0 2025-12-04T15:06:39.2560681Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file 2025-12-04T15:06:39.2605421Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0 2025-12-04T15:06:39.2607339Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file 2025-12-04T15:06:39.4593060Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0 2025-12-04T15:06:39.4640263Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file 2025-12-04T15:06:39.4657199Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0 2025-12-04T15:06:39.4659983Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0, line 452 <- wrt source file 2025-12-04T15:06:39.4686162Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool2d:0 2025-12-04T15:06:39.4688927Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file 2025-12-04T15:06:39.5419147Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0 2025-12-04T15:06:39.5422064Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file 2025-12-04T15:06:39.5433411Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0 2025-12-04T15:06:39.5435363Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file 2025-12-04T15:06:39.5472980Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0 2025-12-04T15:06:39.5474865Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file 2025-12-04T15:06:39.7187602Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0 2025-12-04T15:06:39.7235451Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file 2025-12-04T15:06:39.7283392Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0 2025-12-04T15:06:39.7285910Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file 2025-12-04T15:06:39.7886229Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0 2025-12-04T15:06:39.7888262Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1156 <- wrt source file 2025-12-04T15:06:39.7896570Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool1d:0 2025-12-04T15:06:39.7898743Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1212 <- wrt source file 2025-12-04T15:06:39.7949014Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool2d:0 2025-12-04T15:06:39.7951464Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1276 <- wrt source file 2025-12-04T15:06:39.9984391Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::LPPool3d:0 2025-12-04T15:06:40.0029736Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1332 <- wrt source file 2025-12-04T15:06:40.0039056Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0 2025-12-04T15:06:40.0041144Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1367 <- wrt source file 2025-12-04T15:06:40.0052971Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0 2025-12-04T15:06:40.0055048Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1411 <- wrt source file 2025-12-04T15:06:40.0136780Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0 2025-12-04T15:06:40.0138856Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1459 <- wrt source file 2025-12-04T15:06:40.0143085Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0 2025-12-04T15:06:40.0145300Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1493 <- wrt source file 2025-12-04T15:06:40.0154545Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0 2025-12-04T15:06:40.0156615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1533 <- wrt source file 2025-12-04T15:06:40.0178432Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0 2025-12-04T15:06:40.0180357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0, line 598 <- wrt source file 2025-12-04T15:06:40.0193424Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNN:0 2025-12-04T15:06:40.0195155Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 963 <- wrt source file 2025-12-04T15:06:40.0673076Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTM:0 2025-12-04T15:06:40.0675055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1305 <- wrt source file 2025-12-04T15:06:40.0695172Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRU:0 2025-12-04T15:06:40.0698566Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1561 <- wrt source file 2025-12-04T15:06:40.0712630Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::RNNCell:0 2025-12-04T15:06:40.0715687Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1683 <- wrt source file 2025-12-04T15:06:40.0729350Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::LSTMCell:0 2025-12-04T15:06:40.0732655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1797 <- wrt source file 2025-12-04T15:06:40.0749217Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/rnn.py::GRUCell:0 2025-12-04T15:06:40.0752521Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file 2025-12-04T15:06:40.0769431Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding:0 2025-12-04T15:06:40.0772403Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file 2025-12-04T15:06:40.0780229Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0 2025-12-04T15:06:40.0783170Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0, line 324 <- wrt source file 2025-12-04T15:06:40.0802511Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag:0 2025-12-04T15:06:40.0805912Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 523 <- wrt source file 2025-12-04T15:06:40.0814947Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0 2025-12-04T15:06:40.0818382Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 91 <- wrt source file 2025-12-04T15:06:40.9760006Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer:0 2025-12-04T15:06:40.9776970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0, line 267 <- wrt source file 2025-12-04T15:06:40.9779213Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::Transformer.forward:0 2025-12-04T15:06:40.9781367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 345 <- wrt source file 2025-12-04T15:06:41.0961473Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0 2025-12-04T15:06:41.1036027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 578 <- wrt source file 2025-12-04T15:06:41.3543997Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0 2025-12-04T15:06:41.3552071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 702 <- wrt source file 2025-12-04T15:06:41.3886506Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0 2025-12-04T15:06:41.3888822Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 1014 <- wrt source file 2025-12-04T15:06:41.4492500Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0 2025-12-04T15:06:41.4494909Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file 2025-12-04T15:06:41.4526950Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::Upsample:0 2025-12-04T15:06:41.4529009Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file 2025-12-04T15:06:41.4543578Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0 2025-12-04T15:06:41.4545197Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file 2025-12-04T15:06:41.4555021Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0 2025-12-04T15:06:41.4556583Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 128 <- wrt source file 2025-12-04T15:06:41.4558150Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0 2025-12-04T15:06:41.4559771Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 644 <- wrt source file 2025-12-04T15:06:41.4561704Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0 2025-12-04T15:06:41.4563435Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1451 <- wrt source file 2025-12-04T15:06:41.4565227Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0 2025-12-04T15:06:41.4567071Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0, line 1838 <- wrt source file 2025-12-04T15:06:41.4568877Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.join:0 2025-12-04T15:06:41.4570722Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 2004 <- wrt source file 2025-12-04T15:06:41.4572751Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0 2025-12-04T15:06:41.4574653Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2014 <- wrt source file 2025-12-04T15:06:41.4576594Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1 2025-12-04T15:06:41.4578625Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2049 <- wrt source file 2025-12-04T15:06:41.4580724Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0 2025-12-04T15:06:41.4582706Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0, line 2107 <- wrt source file 2025-12-04T15:06:41.4584655Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_fused_optim:0 2025-12-04T15:06:41.4586399Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file 2025-12-04T15:06:41.4588054Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0 2025-12-04T15:06:41.4589528Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file 2025-12-04T15:06:41.4590882Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/init.py::skip_init:0 2025-12-04T15:06:41.4592406Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0, line 64 <- wrt source file 2025-12-04T15:06:41.4594173Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv2d_weight_memory_format:0 2025-12-04T15:06:41.4595915Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0, line 143 <- wrt source file 2025-12-04T15:06:41.4597682Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/memory_format.py::convert_conv3d_weight_memory_format:0 2025-12-04T15:06:41.4599356Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 267 <- wrt source file 2025-12-04T15:06:41.4600906Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0 2025-12-04T15:06:41.4602432Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 362 <- wrt source file 2025-12-04T15:06:41.4604042Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0 2025-12-04T15:06:41.4605884Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 593 <- wrt source file 2025-12-04T15:06:41.4607467Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0 2025-12-04T15:06:41.4608903Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0, line 852 <- wrt source file 2025-12-04T15:06:41.4610259Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::identity:0 2025-12-04T15:06:41.4611740Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 888 <- wrt source file 2025-12-04T15:06:41.4613230Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_unstructured:0 2025-12-04T15:06:41.4614667Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 931 <- wrt source file 2025-12-04T15:06:41.4616225Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::l1_unstructured:0 2025-12-04T15:06:41.4617655Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0, line 971 <- wrt source file 2025-12-04T15:06:41.4619105Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::random_structured:0 2025-12-04T15:06:41.4620518Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0, line 1017 <- wrt source file 2025-12-04T15:06:41.4621941Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::ln_structured:0 2025-12-04T15:06:41.4623375Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0, line 1072 <- wrt source file 2025-12-04T15:06:41.4642666Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::global_unstructured:0 2025-12-04T15:06:41.4644107Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0, line 1175 <- wrt source file 2025-12-04T15:06:41.4654988Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::custom_from_mask:0 2025-12-04T15:06:41.4656360Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0, line 1203 <- wrt source file 2025-12-04T15:06:41.4663463Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::remove:0 2025-12-04T15:06:41.4664793Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1231 <- wrt source file 2025-12-04T15:06:41.4674821Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/prune.py::is_pruned:0 2025-12-04T15:06:41.4676213Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0, line 359 <- wrt source file 2025-12-04T15:06:41.4695090Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_packed_sequence:0 2025-12-04T15:06:41.4696478Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file 2025-12-04T15:06:41.4703039Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pad_sequence:0 2025-12-04T15:06:41.4704631Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file 2025-12-04T15:06:41.4721266Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0 2025-12-04T15:06:41.4723110Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file 2025-12-04T15:06:41.4732224Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::pack_sequence:0 2025-12-04T15:06:41.4734055Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file 2025-12-04T15:06:41.4755941Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0 2025-12-04T15:06:41.4765636Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file 2025-12-04T15:06:41.4767165Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0 2025-12-04T15:06:41.4768848Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 347 <- wrt source file 2025-12-04T15:06:41.4774865Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0 2025-12-04T15:06:41.4776398Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 193 <- wrt source file 2025-12-04T15:06:41.4780897Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/stateless.py::functional_call:0 2025-12-04T15:06:41.4782357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file 2025-12-04T15:06:41.4790800Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0 2025-12-04T15:06:41.4792815Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file 2025-12-04T15:06:41.4798208Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0 2025-12-04T15:06:41.4800320Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file 2025-12-04T15:06:41.4802511Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0 2025-12-04T15:06:41.4805077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file 2025-12-04T15:06:41.4807853Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0 2025-12-04T15:06:41.4810246Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 357 <- wrt source file 2025-12-04T15:06:41.4812277Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0 2025-12-04T15:06:41.4814215Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 483 <- wrt source file 2025-12-04T15:06:41.4816325Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0 2025-12-04T15:06:41.4818216Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 608 <- wrt source file 2025-12-04T15:06:41.4820066Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::StepLR:0 2025-12-04T15:06:41.4821918Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 695 <- wrt source file 2025-12-04T15:06:41.4823840Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0 2025-12-04T15:06:41.4825714Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 791 <- wrt source file 2025-12-04T15:06:41.4827617Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0 2025-12-04T15:06:41.4829471Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 898 <- wrt source file 2025-12-04T15:06:41.4831409Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::LinearLR:0 2025-12-04T15:06:41.4833359Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 1020 <- wrt source file 2025-12-04T15:06:41.4835378Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0 2025-12-04T15:06:41.4837301Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0, line 1097 <- wrt source file 2025-12-04T15:06:41.4839273Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::SequentialLR:0 2025-12-04T15:06:41.4841200Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0, line 1249 <- wrt source file 2025-12-04T15:06:41.4843149Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0 2025-12-04T15:06:41.4845139Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1378 <- wrt source file 2025-12-04T15:06:41.4847200Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0 2025-12-04T15:06:41.4848894Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0, line 1490 <- wrt source file 2025-12-04T15:06:41.4850399Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0 2025-12-04T15:06:41.4851881Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0, line 1863 <- wrt source file 2025-12-04T15:06:41.4853287Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CyclicLR:0 2025-12-04T15:06:41.4854811Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0, line 2129 <- wrt source file 2025-12-04T15:06:41.4856514Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts:0 2025-12-04T15:06:41.4858191Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0, line 2211 <- wrt source file 2025-12-04T15:06:41.4859971Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0 2025-12-04T15:06:41.4861685Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 2227 <- wrt source file 2025-12-04T15:06:41.4863421Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1 2025-12-04T15:06:41.4864960Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0, line 2367 <- wrt source file 2025-12-04T15:06:41.4866412Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py::OneCycleLR:0 2025-12-04T15:06:41.4867877Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0, line 900 <- wrt source file 2025-12-04T15:06:41.4869471Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/optimizer.py::Optimizer.load_state_dict:0 2025-12-04T15:06:41.4870981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0, line 155 <- wrt source file 2025-12-04T15:06:41.4872451Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:0 2025-12-04T15:06:41.4873847Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1, line 181 <- wrt source file 2025-12-04T15:06:41.4875272Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::AveragedModel:1 2025-12-04T15:06:41.4876633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0, line 350 <- wrt source file 2025-12-04T15:06:41.4878009Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::update_bn:0 2025-12-04T15:06:41.4879326Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0, line 409 <- wrt source file 2025-12-04T15:06:41.4880639Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/swa_utils.py::SWALR:0 2025-12-04T15:06:41.4881984Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file 2025-12-04T15:06:41.4883401Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/package/glob_group.py::GlobGroup:0 2025-12-04T15:06:41.4884996Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 317 <- wrt source file 2025-12-04T15:06:41.4886781Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0 2025-12-04T15:06:41.4888344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0, line 659 <- wrt source file 2025-12-04T15:06:41.4889739Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/profiler/profiler.py::profile:0 2025-12-04T15:06:41.4891352Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 342 <- wrt source file 2025-12-04T15:06:41.4893000Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0 2025-12-04T15:06:41.4894544Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0, line 1477 <- wrt source file 2025-12-04T15:06:41.4900936Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py::assert_close:0 2025-12-04T15:06:41.4902344Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file 2025-12-04T15:06:41.4903773Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_creation.py::make_tensor:0 2025-12-04T15:06:41.4905405Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 648 <- wrt source file 2025-12-04T15:06:41.4907006Z * SKIPPED: 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DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 359 <- wrt source file 2025-12-04T15:06:41.4954754Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0 2025-12-04T15:06:41.4956211Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 396 <- wrt source file 2025-12-04T15:06:41.4960527Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0 2025-12-04T15:06:41.4961908Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 429 <- wrt source file 2025-12-04T15:06:41.4968292Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0 2025-12-04T15:06:41.4969664Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 464 <- wrt source file 2025-12-04T15:06:41.4974583Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0 2025-12-04T15:06:41.4975988Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 499 <- wrt source file 2025-12-04T15:06:41.4980774Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0 2025-12-04T15:06:41.4982153Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 536 <- wrt source file 2025-12-04T15:06:41.4988279Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::tree_map:0 2025-12-04T15:06:41.4989676Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 929 <- wrt source file 2025-12-04T15:06:41.4999491Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0 2025-12-04T15:06:41.5000936Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 308 <- wrt source file 2025-12-04T15:06:41.5013433Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_dataclass:0 2025-12-04T15:06:41.5014949Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0, line 428 <- wrt source file 2025-12-04T15:06:41.5025254Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::register_constant:0 2025-12-04T15:06:41.5026615Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1058 <- wrt source file 2025-12-04T15:06:41.5033172Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_is_leaf:0 2025-12-04T15:06:41.5034510Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0, line 1497 <- wrt source file 2025-12-04T15:06:41.5041245Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_pytree.py::tree_map:0 2025-12-04T15:06:41.5042752Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 71 <- wrt source file 2025-12-04T15:06:41.5044483Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0 2025-12-04T15:06:41.5046255Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 382 <- wrt source file 2025-12-04T15:06:41.5048150Z * SKIPPED: 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SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0 2025-12-04T15:06:41.5059606Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0, line 1257 <- wrt source file 2025-12-04T15:06:41.5061339Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::SelectiveCheckpointContext:0 2025-12-04T15:06:41.5063006Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0, line 1421 <- wrt source file 2025-12-04T15:06:41.5064872Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/checkpoint.py::create_selective_checkpoint_contexts:0 2025-12-04T15:06:41.5066462Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0, line 1247 <- wrt source file 2025-12-04T15:06:41.5067937Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CppExtension:0 2025-12-04T15:06:41.5069397Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0, line 1319 <- wrt source file 2025-12-04T15:06:41.5080045Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:0 2025-12-04T15:06:41.5081538Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1, line 1397 <- wrt source file 2025-12-04T15:06:41.5083051Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::CUDAExtension:1 2025-12-04T15:06:41.5084665Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/cpp_extension.py::SyclExtension:0, line 1509 <- wrt source file 2025-12-04T15:06:41.5086151Z * SKIPPED: 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2025-12-04T15:06:41.5096221Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0, line 78 <- wrt source file 2025-12-04T15:06:41.5097903Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/throughput_benchmark.py::ThroughputBenchmark:0 2025-12-04T15:06:41.5099579Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 742 <- wrt source file 2025-12-04T15:06:41.5665288Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0 2025-12-04T15:06:41.5674049Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file 2025-12-04T15:06:41.5675582Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::IterableDataset:0 2025-12-04T15:06:41.5677045Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 218 <- wrt source file 2025-12-04T15:06:41.5678533Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::StackDataset:0 2025-12-04T15:06:41.5679970Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0, line 438 <- wrt source file 2025-12-04T15:06:41.5681428Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/dataset.py::random_split:0 2025-12-04T15:06:41.5682935Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0, line 55 <- wrt source file 2025-12-04T15:06:41.5684552Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/distributed.py::DistributedSampler:0 2025-12-04T15:06:41.5686027Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0, line 36 <- wrt source file 2025-12-04T15:06:41.5687606Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::Sampler:0 2025-12-04T15:06:41.5689077Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0, line 225 <- wrt source file 2025-12-04T15:06:41.5690691Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::WeightedRandomSampler:0 2025-12-04T15:06:41.5692367Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0, line 296 <- wrt source file 2025-12-04T15:06:41.5695379Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/sampler.py::BatchSampler:0 2025-12-04T15:06:41.5696876Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file 2025-12-04T15:06:41.5699491Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_convert:0 2025-12-04T15:06:41.5700991Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file 2025-12-04T15:06:41.5705625Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::collate:0 2025-12-04T15:06:41.5707129Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 367 <- wrt source file 2025-12-04T15:06:41.5712749Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py::default_collate:0 2025-12-04T15:06:41.5714392Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0, line 97 <- wrt source file 2025-12-04T15:06:41.5716431Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::IterDataPipe:0 2025-12-04T15:06:41.5718035Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 269 <- wrt source file 2025-12-04T15:06:41.5719663Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0 2025-12-04T15:06:41.5721357Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file 2025-12-04T15:06:41.5723160Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0 2025-12-04T15:06:41.5724951Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 202 <- wrt source file 2025-12-04T15:06:41.5731815Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0 2025-12-04T15:06:41.5733645Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file 2025-12-04T15:06:41.5735559Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T15:06:41.5737385Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file 2025-12-04T15:06:41.5764193Z * SKIPPED: 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source file 2025-12-04T15:06:41.5775284Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::DemultiplexerIterDataPipe:0 2025-12-04T15:06:41.5777154Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0, line 615 <- wrt source file 2025-12-04T15:06:41.5779028Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::MultiplexerIterDataPipe:0 2025-12-04T15:06:41.5780842Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0, line 685 <- wrt source file 2025-12-04T15:06:41.5782744Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py::ZipperIterDataPipe:0 2025-12-04T15:06:41.5784567Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 29 <- wrt source file 2025-12-04T15:06:41.5786449Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0 2025-12-04T15:06:41.5788282Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0, line 33 <- wrt source file 2025-12-04T15:06:41.5790165Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py::FileOpenerIterDataPipe:0 2025-12-04T15:06:41.5791981Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 41 <- wrt source file 2025-12-04T15:06:41.5793805Z * SKIPPED: 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source file 2025-12-04T15:06:41.5804911Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0 2025-12-04T15:06:41.5806762Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 24 <- wrt source file 2025-12-04T15:06:41.5808786Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0 2025-12-04T15:06:41.5810661Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file 2025-12-04T15:06:41.5812637Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0 2025-12-04T15:06:41.5814437Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 36 <- wrt source file 2025-12-04T15:06:41.5816192Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0 2025-12-04T15:06:41.5818005Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file 2025-12-04T15:06:41.5819897Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0 2025-12-04T15:06:41.5821832Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file 2025-12-04T15:06:41.5823644Z * SKIPPED: 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file 2025-12-04T15:06:41.5834372Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0 2025-12-04T15:06:41.5836140Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file 2025-12-04T15:06:41.5837895Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0 2025-12-04T15:06:41.5839592Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file 2025-12-04T15:06:41.5841323Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0 2025-12-04T15:06:41.5843015Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file 2025-12-04T15:06:42.0668242Z * SUCCESS: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0 2025-12-04T15:06:42.0669922Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file 2025-12-04T15:06:42.0671804Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0 2025-12-04T15:06:42.0673476Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 217 <- wrt source file 2025-12-04T15:06:42.0675163Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0 2025-12-04T15:06:42.0676844Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 322 <- wrt source file 2025-12-04T15:06:42.0678566Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0 2025-12-04T15:06:42.0680247Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 370 <- wrt source file 2025-12-04T15:06:42.0681953Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0 2025-12-04T15:06:42.0683752Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 402 <- wrt source file 2025-12-04T15:06:42.0685486Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0 2025-12-04T15:06:42.0687174Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 450 <- wrt source file 2025-12-04T15:06:42.0688877Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0 2025-12-04T15:06:42.0690586Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 489 <- wrt source file 2025-12-04T15:06:42.0692407Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0 2025-12-04T15:06:42.0694162Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 542 <- wrt source file 2025-12-04T15:06:42.0696175Z * SKIPPED: 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2025-12-04T15:06:42.0711689Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0 2025-12-04T15:06:42.0713570Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 887 <- wrt source file 2025-12-04T15:06:42.0715767Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0 2025-12-04T15:06:42.0717893Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 998 <- wrt source file 2025-12-04T15:06:42.0719790Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0 2025-12-04T15:06:42.0721985Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1072 <- wrt source file 2025-12-04T15:06:42.0724132Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0 2025-12-04T15:06:42.0726073Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1093 <- wrt source file 2025-12-04T15:06:42.0728080Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0 2025-12-04T15:06:42.0730010Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1118 <- wrt source file 2025-12-04T15:06:42.0731918Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0 2025-12-04T15:06:42.0733633Z * DOCTEST : /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1164 <- wrt source file 2025-12-04T15:06:42.0735330Z * SKIPPED: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0 2025-12-04T15:06:42.0736196Z ============ 2025-12-04T15:06:42.0736505Z Finished doctests 2025-12-04T15:06:42.0736772Z 378 / 894 passed 2025-12-04T15:06:42.0737032Z  2025-12-04T15:06:42.0737370Z === Found 17 parse-time warnings === 2025-12-04T15:06:42.0737849Z --- Parse Warning: 1 / 17 --- 2025-12-04T15:06:42.0739113Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=Library.fallback in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=368. 2025-12-04T15:06:42.0740536Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.0741239Z Registers the function implementation as the fallback for the given key. 2025-12-04T15:06:42.0741752Z 2025-12-04T15:06:42.0742120Z This function only works for a library with global namespace ("_"). 2025-12-04T15:06:42.0742604Z 2025-12-04T15:06:42.0742825Z Args: 2025-12-04T15:06:42.0743294Z fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel` 2025-12-04T15:06:42.0743893Z to register a fallthrough. 2025-12-04T15:06:42.0744533Z dispatch_key: dispatch key that the input function should be registered for. By default, it uses 2025-12-04T15:06:42.0745292Z the dispatch key that the library was created with. 2025-12-04T15:06:42.0746037Z with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument 2025-12-04T15:06:42.0746992Z to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls. 2025-12-04T15:06:42.0747600Z 2025-12-04T15:06:42.0747873Z Example:: 2025-12-04T15:06:42.0748126Z 2025-12-04T15:06:42.0748380Z >>> my_lib = Library("_", "IMPL") 2025-12-04T15:06:42.0748795Z >>> def fallback_kernel(op, *args, **kwargs): 2025-12-04T15:06:42.0749246Z >>> # Handle all autocast ops generically 2025-12-04T15:06:42.0749630Z >>> # ... 2025-12-04T15:06:42.0749981Z >>> my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T15:06:42.0750383Z 2025-12-04T15:06:42.0751269Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7)) 2025-12-04T15:06:42.0752208Z 2025-12-04T15:06:42.0752487Z my_lib.fallback(fallback_kernel, "Autocast") 2025-12-04T15:06:42.0752864Z ^ 2025-12-04T15:06:42.0753107Z warnings.warn(msg) 2025-12-04T15:06:42.0753379Z 2025-12-04T15:06:42.0753716Z --- Parse Warning: 2 / 17 --- 2025-12-04T15:06:42.0754977Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=958. 2025-12-04T15:06:42.0756362Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.0757100Z Register a FakeTensor implementation ("fake impl") for this operator. 2025-12-04T15:06:42.0757599Z 2025-12-04T15:06:42.0757974Z Also sometimes known as a "meta kernel", "abstract impl". 2025-12-04T15:06:42.0758394Z 2025-12-04T15:06:42.0758803Z An "FakeTensor implementation" specifies the behavior of this operator on 2025-12-04T15:06:42.0759479Z Tensors that carry no data ("FakeTensor"). Given some input Tensors with 2025-12-04T15:06:42.0760130Z certain properties (sizes/strides/storage_offset/device), it specifies 2025-12-04T15:06:42.0760708Z what the properties of the output Tensors are. 2025-12-04T15:06:42.0761093Z 2025-12-04T15:06:42.0761470Z The FakeTensor implementation has the same signature as the operator. 2025-12-04T15:06:42.0762110Z It is run for both FakeTensors and meta tensors. To write a FakeTensor 2025-12-04T15:06:42.0762735Z implementation, assume that all Tensor inputs to the operator are 2025-12-04T15:06:42.0763361Z regular CPU/CUDA/Meta tensors, but they do not have storage, and 2025-12-04T15:06:42.0763960Z you are trying to return regular CPU/CUDA/Meta tensor(s) as output. 2025-12-04T15:06:42.0764602Z The FakeTensor implementation must consist of only PyTorch operations 2025-12-04T15:06:42.0765233Z (and may not directly access the storage or data of any input or 2025-12-04T15:06:42.0765695Z intermediate Tensors). 2025-12-04T15:06:42.0766003Z 2025-12-04T15:06:42.0766306Z This API may be used as a decorator (see examples). 2025-12-04T15:06:42.0766691Z 2025-12-04T15:06:42.0766975Z For a detailed guide on custom ops, please see 2025-12-04T15:06:42.0767542Z https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-12-04T15:06:42.0768035Z 2025-12-04T15:06:42.0768242Z Args: 2025-12-04T15:06:42.0768639Z op_name: Operator name (along with the overload) or OpOverload object. 2025-12-04T15:06:42.0769174Z func: Fake tensor implementation. 2025-12-04T15:06:42.0769649Z lib (Optional[Library]): Library to register the fake tensor to. 2025-12-04T15:06:42.0770278Z allow_override: Flag controlling if we want to override an 2025-12-04T15:06:42.0770901Z existing registered fake impl. This is by default off, 2025-12-04T15:06:42.0771532Z and will error you're trying to register a fake impl to 2025-12-04T15:06:42.0772060Z an operator that already has a fake impl. This also only 2025-12-04T15:06:42.0772634Z applies if the custom operator was not created via 2025-12-04T15:06:42.0773170Z torch.library.custom_op, as overriding and existing fake 2025-12-04T15:06:42.0773649Z impl is already allowed. 2025-12-04T15:06:42.0774007Z 2025-12-04T15:06:42.0774236Z Examples: 2025-12-04T15:06:42.0774494Z >>> import torch 2025-12-04T15:06:42.0774818Z >>> import numpy as np 2025-12-04T15:06:42.0775169Z >>> from torch import Tensor 2025-12-04T15:06:42.0775497Z >>> 2025-12-04T15:06:42.0775857Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T15:06:42.0776453Z >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=()) 2025-12-04T15:06:42.0777089Z >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T15:06:42.0777670Z >>> raise NotImplementedError("Implementation goes here") 2025-12-04T15:06:42.0778112Z >>> 2025-12-04T15:06:42.0778457Z >>> @torch.library.register_fake("mylib::custom_linear") 2025-12-04T15:06:42.0778884Z >>> def _(x, weight, bias): 2025-12-04T15:06:42.0779236Z >>> assert x.dim() == 2 2025-12-04T15:06:42.0779598Z >>> assert weight.dim() == 2 2025-12-04T15:06:42.0779967Z >>> assert bias.dim() == 1 2025-12-04T15:06:42.0780409Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T15:06:42.0780870Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T15:06:42.0781294Z >>> assert x.device == weight.device 2025-12-04T15:06:42.0781643Z >>> 2025-12-04T15:06:42.0781922Z >>> return (x @ weight.t()) + bias 2025-12-04T15:06:42.0782276Z >>> 2025-12-04T15:06:42.0782608Z >>> with torch._subclasses.fake_tensor.FakeTensorMode(): 2025-12-04T15:06:42.0783054Z >>> x = torch.randn(2, 3) 2025-12-04T15:06:42.0783418Z >>> w = torch.randn(3, 3) 2025-12-04T15:06:42.0783773Z >>> b = torch.randn(3) 2025-12-04T15:06:42.0784150Z >>> y = torch.ops.mylib.custom_linear(x, w, b) 2025-12-04T15:06:42.0784533Z >>> 2025-12-04T15:06:42.0784798Z >>> assert y.shape == (2, 3) 2025-12-04T15:06:42.0785119Z >>> 2025-12-04T15:06:42.0785468Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T15:06:42.0786061Z >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=()) 2025-12-04T15:06:42.0786585Z >>> def custom_nonzero(x: Tensor) -> Tensor: 2025-12-04T15:06:42.0786995Z >>> x_np = x.numpy(force=True) 2025-12-04T15:06:42.0787406Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T15:06:42.0787842Z >>> return torch.tensor(res, device=x.device) 2025-12-04T15:06:42.0788214Z >>> 2025-12-04T15:06:42.0788564Z >>> @torch.library.register_fake("mylib::custom_nonzero") 2025-12-04T15:06:42.0788997Z >>> def _(x): 2025-12-04T15:06:42.0789341Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T15:06:42.0789817Z >>> # Since we cannot peek at the data in an fake impl, 2025-12-04T15:06:42.0790303Z >>> # we use the ctx object to construct a new symint that 2025-12-04T15:06:42.0790754Z >>> # represents the data-dependent size. 2025-12-04T15:06:42.0791168Z >>> ctx = torch.library.get_ctx() 2025-12-04T15:06:42.0791604Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T15:06:42.0791985Z >>> shape = [nnz, x.dim()] 2025-12-04T15:06:42.0792387Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T15:06:42.0792809Z >>> return result 2025-12-04T15:06:42.0793123Z >>> 2025-12-04T15:06:42.0793467Z >>> from torch.fx.experimental.proxy_tensor import make_fx 2025-12-04T15:06:42.0793939Z >>> 2025-12-04T15:06:42.0794225Z >>> x = torch.tensor([0, 1, 2, 3, 4, 0]) 2025-12-04T15:06:42.0794752Z >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x) 2025-12-04T15:06:42.0795303Z >>> trace.print_readable() 2025-12-04T15:06:42.0795642Z >>> 2025-12-04T15:06:42.0796053Z >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x)) 2025-12-04T15:06:42.0796535Z 2025-12-04T15:06:42.0796764Z 2025-12-04T15:06:42.0797522Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('', 38, 1, '_._ = None\n', 38, 2)) 2025-12-04T15:06:42.0798354Z 2025-12-04T15:06:42.0798581Z _._ = None 2025-12-04T15:06:42.0798822Z ^ 2025-12-04T15:06:42.0799050Z warnings.warn(msg) 2025-12-04T15:06:42.0799337Z 2025-12-04T15:06:42.0799718Z --- Parse Warning: 3 / 17 --- 2025-12-04T15:06:42.0800956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=get_kernel in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py line=1530. 2025-12-04T15:06:42.0802344Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.0803051Z Returns the computed kernel for a given operator and dispatch key. 2025-12-04T15:06:42.0803529Z 2025-12-04T15:06:42.0803937Z This function retrieves the kernel that would be executed for a given 2025-12-04T15:06:42.0804810Z operator and dispatch key combination. The returned SafeKernelFunction 2025-12-04T15:06:42.0805445Z can be used to call the kernel in a boxed fashion. The intended use 2025-12-04T15:06:42.0806035Z case for this function is to retrieve the original kernel for a given 2025-12-04T15:06:42.0806669Z dispatch key and then register another kernel to the same dispatch key 2025-12-04T15:06:42.0807259Z that calls into the original kernel for certain cases. 2025-12-04T15:06:42.0807668Z 2025-12-04T15:06:42.0807874Z Args: 2025-12-04T15:06:42.0808250Z op: Operator name (along with the overload) or OpOverload object 2025-12-04T15:06:42.0808880Z Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef. 2025-12-04T15:06:42.0809561Z dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for. 2025-12-04T15:06:42.0810218Z Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value. 2025-12-04T15:06:42.0810664Z 2025-12-04T15:06:42.0810891Z Returns: 2025-12-04T15:06:42.0811404Z torch._C._SafeKernelFunction: A safe kernel function that can be used to 2025-12-04T15:06:42.0811936Z call the kernel. 2025-12-04T15:06:42.0812243Z 2025-12-04T15:06:42.0812451Z Raises: 2025-12-04T15:06:42.0812766Z RuntimeError: If the operator does not exist. 2025-12-04T15:06:42.0813155Z 2025-12-04T15:06:42.0813361Z Example: 2025-12-04T15:06:42.0813648Z >>> # Get the CPU kernel for torch.add 2025-12-04T15:06:42.0814139Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU") 2025-12-04T15:06:42.0814580Z >>> 2025-12-04T15:06:42.0814864Z >>> # You can also use DispatchKey enum 2025-12-04T15:06:42.0815429Z >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU) 2025-12-04T15:06:42.0816047Z >>> 2025-12-04T15:06:42.0816315Z >>> # Or use an OpOverload directly 2025-12-04T15:06:42.0816839Z >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU") 2025-12-04T15:06:42.0817340Z >>> 2025-12-04T15:06:42.0817722Z >>> # Example: Using get_kernel in a custom op with conditional dispatch 2025-12-04T15:06:42.0818260Z >>> # Get the original kernel for torch.sin 2025-12-04T15:06:42.0818836Z >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU") 2025-12-04T15:06:42.0819322Z >>> 2025-12-04T15:06:42.0819716Z >>> # If input has negative values, use original sin, otherwise return zeros 2025-12-04T15:06:42.0820280Z >>> def conditional_sin_impl(dispatch_keys, x): 2025-12-04T15:06:42.0820689Z >>> if (x < 0).any(): 2025-12-04T15:06:42.0821116Z >>> return original_sin_kernel.call_boxed(dispatch_keys, x) 2025-12-04T15:06:42.0821567Z >>> else: 2025-12-04T15:06:42.0821881Z >>> return torch.zeros_like(x) 2025-12-04T15:06:42.0822224Z >>> 2025-12-04T15:06:42.0822528Z >>> lib = torch.library.Library("aten", "IMPL") 2025-12-04T15:06:42.0823119Z >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet 2025-12-04T15:06:42.0823768Z >>> which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T15:06:42.0824325Z >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True) 2025-12-04T15:06:42.0824783Z >>> 2025-12-04T15:06:42.0825061Z >>> # Test the conditional behavior 2025-12-04T15:06:42.0825448Z >>> x_positive = torch.tensor([1.0, 2.0]) 2025-12-04T15:06:42.0825853Z >>> x_mixed = torch.tensor([-1.0, 2.0]) 2025-12-04T15:06:42.0826279Z >>> torch.sin(x_positive) 2025-12-04T15:06:42.0826661Z tensor([0., 0.]) 2025-12-04T15:06:42.0826977Z >>> torch.sin(x_mixed) 2025-12-04T15:06:42.0827312Z tensor([-0.8415, 0.9093]) 2025-12-04T15:06:42.0827619Z 2025-12-04T15:06:42.0828312Z Original Error: SyntaxError('invalid syntax', ('', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12)) 2025-12-04T15:06:42.0829093Z 2025-12-04T15:06:42.0829424Z which needs to be the first argument to ``kernel.call_boxed`` 2025-12-04T15:06:42.0829857Z ^ 2025-12-04T15:06:42.0830101Z warnings.warn(msg) 2025-12-04T15:06:42.0830385Z 2025-12-04T15:06:42.0830737Z --- Parse Warning: 4 / 17 --- 2025-12-04T15:06:42.0832054Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=is_available in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=70. 2025-12-04T15:06:42.0833529Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.0834247Z Check if the current accelerator is available at runtime: it was build, all the 2025-12-04T15:06:42.0834914Z required drivers are available and at least one device is visible. 2025-12-04T15:06:42.0835466Z See :ref:`accelerator` for details. 2025-12-04T15:06:42.0835854Z 2025-12-04T15:06:42.0836063Z Returns: 2025-12-04T15:06:42.0836530Z bool: A boolean indicating if there is an available :ref:`accelerator`. 2025-12-04T15:06:42.0837080Z 2025-12-04T15:06:42.0837483Z .. note:: This API delegates to the device-specific version of `is_available`. 2025-12-04T15:06:42.0838187Z On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set, 2025-12-04T15:06:42.0838915Z this function will NOT poison fork. Otherwise, it will. For more details, see 2025-12-04T15:06:42.0839517Z :ref:`multiprocessing-poison-fork-note`. 2025-12-04T15:06:42.0839891Z 2025-12-04T15:06:42.0840162Z Example:: 2025-12-04T15:06:42.0840417Z 2025-12-04T15:06:42.0840838Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T15:06:42.0841382Z 2025-12-04T15:06:42.0842169Z Original Error: SyntaxError('invalid syntax', ('', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78)) 2025-12-04T15:06:42.0843048Z 2025-12-04T15:06:42.0843496Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T15:06:42.0844050Z ^ 2025-12-04T15:06:42.0844402Z warnings.warn(msg) 2025-12-04T15:06:42.0844968Z 2025-12-04T15:06:42.0845309Z --- Parse Warning: 5 / 17 --- 2025-12-04T15:06:42.0846634Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=synchronize in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/accelerator/__init__.py line=239. 2025-12-04T15:06:42.0848112Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.0848764Z Wait for all kernels in all streams on the given device to complete. 2025-12-04T15:06:42.0849235Z 2025-12-04T15:06:42.0849456Z Args: 2025-12-04T15:06:42.0849957Z device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match 2025-12-04T15:06:42.0850728Z the current :ref:`accelerator` device type. If not given, 2025-12-04T15:06:42.0851471Z use :func:`torch.accelerator.current_device_index` by default. 2025-12-04T15:06:42.0851929Z 2025-12-04T15:06:42.0852399Z .. note:: This function is a no-op if the current :ref:`accelerator` is not initialized. 2025-12-04T15:06:42.0853032Z 2025-12-04T15:06:42.0853259Z Example:: 2025-12-04T15:06:42.0853532Z 2025-12-04T15:06:42.0853816Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA) 2025-12-04T15:06:42.0854415Z >>> assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T15:06:42.0855013Z >>> start_event = torch.Event(enable_timing=True) 2025-12-04T15:06:42.0855464Z >>> end_event = torch.Event(enable_timing=True) 2025-12-04T15:06:42.0855866Z >>> start_event.record() 2025-12-04T15:06:42.0856413Z >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator()) 2025-12-04T15:06:42.0856945Z >>> sum = torch.sum(tensor) 2025-12-04T15:06:42.0857302Z >>> end_event.record() 2025-12-04T15:06:42.0857670Z >>> torch.accelerator.synchronize() 2025-12-04T15:06:42.0858121Z >>> elapsed_time_ms = start_event.elapsed_time(end_event) 2025-12-04T15:06:42.0858543Z 2025-12-04T15:06:42.0859334Z Original Error: SyntaxError('invalid syntax', ('', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78)) 2025-12-04T15:06:42.0860210Z 2025-12-04T15:06:42.0860621Z assert torch.accelerator.is_available() "No available accelerators detected." 2025-12-04T15:06:42.0861167Z ^ 2025-12-04T15:06:42.0861514Z warnings.warn(msg) 2025-12-04T15:06:42.0861781Z 2025-12-04T15:06:42.0862126Z --- Parse Warning: 6 / 17 --- 2025-12-04T15:06:42.0863378Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=cudart in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py line=448. 2025-12-04T15:06:42.0864757Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.0865323Z Retrieves the CUDA runtime API module. 2025-12-04T15:06:42.0865683Z 2025-12-04T15:06:42.0865908Z 2025-12-04T15:06:42.0866313Z This function initializes the CUDA runtime environment if it is not already 2025-12-04T15:06:42.0867056Z initialized and returns the CUDA runtime API module (_cudart). The CUDA 2025-12-04T15:06:42.0867718Z runtime API module provides access to various CUDA runtime functions. 2025-12-04T15:06:42.0868190Z 2025-12-04T15:06:42.0868409Z Args: 2025-12-04T15:06:42.0868657Z ``None`` 2025-12-04T15:06:42.0868909Z 2025-12-04T15:06:42.0869128Z Returns: 2025-12-04T15:06:42.0869509Z module: The CUDA runtime API module (_cudart). 2025-12-04T15:06:42.0869884Z 2025-12-04T15:06:42.0870100Z Raises: 2025-12-04T15:06:42.0870519Z RuntimeError: If CUDA cannot be re-initialized in a forked subprocess. 2025-12-04T15:06:42.0871352Z AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable. 2025-12-04T15:06:42.0871991Z 2025-12-04T15:06:42.0872269Z Example of CUDA operations with profiling: 2025-12-04T15:06:42.0872663Z >>> import torch 2025-12-04T15:06:42.0873006Z >>> from torch.cuda import cudart, check_error 2025-12-04T15:06:42.0873398Z >>> import os 2025-12-04T15:06:42.0873679Z >>> 2025-12-04T15:06:42.0873947Z >>> os.environ["CUDA_PROFILE"] = "1" 2025-12-04T15:06:42.0874305Z >>> 2025-12-04T15:06:42.0874609Z >>> def perform_cuda_operations_with_streams(): 2025-12-04T15:06:42.0875020Z >>> stream = torch.cuda.Stream() 2025-12-04T15:06:42.0875423Z >>> with torch.cuda.stream(stream): 2025-12-04T15:06:42.0875835Z >>> x = torch.randn(100, 100, device='cuda') 2025-12-04T15:06:42.0876258Z >>> y = torch.randn(100, 100, device='cuda') 2025-12-04T15:06:42.0876638Z >>> z = torch.mul(x, y) 2025-12-04T15:06:42.0877023Z >>> return z 2025-12-04T15:06:42.0877314Z >>> 2025-12-04T15:06:42.0877606Z >>> torch.cuda.synchronize() 2025-12-04T15:06:42.0878011Z >>> print("====== Start nsys profiling ======") 2025-12-04T15:06:42.0878454Z >>> check_error(cudart().cudaProfilerStart()) 2025-12-04T15:06:42.0878886Z >>> with torch.autograd.profiler.emit_nvtx(): 2025-12-04T15:06:42.0879352Z >>> result = perform_cuda_operations_with_streams() 2025-12-04T15:06:42.0879807Z >>> print("CUDA operations completed.") 2025-12-04T15:06:42.0880274Z >>> check_error(torch.cuda.cudart().cudaProfilerStop()) 2025-12-04T15:06:42.0880728Z >>> print("====== End nsys profiling ======") 2025-12-04T15:06:42.0881094Z 2025-12-04T15:06:42.0881445Z To run this example and save the profiling information, execute: 2025-12-04T15:06:42.0882219Z >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T15:06:42.0882871Z 2025-12-04T15:06:42.0883279Z This command profiles the CUDA operations in the provided script and saves 2025-12-04T15:06:42.0883918Z the profiling information to a file named `trace_name.prof`. 2025-12-04T15:06:42.0884547Z The `--profile-from-start off` option ensures that profiling starts only 2025-12-04T15:06:42.0885126Z after the `cudaProfilerStart` call in the script. 2025-12-04T15:06:42.0885690Z The `--csv` and `--print-summary` options format the profiling output as a 2025-12-04T15:06:42.0886230Z CSV file and print a summary, respectively. 2025-12-04T15:06:42.0886798Z The `-o` option specifies the output file name, and the `-f` option forces the 2025-12-04T15:06:42.0887402Z overwrite of the output file if it already exists. 2025-12-04T15:06:42.0887792Z 2025-12-04T15:06:42.0888691Z Original Error: SyntaxError('invalid syntax', ('', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2)) 2025-12-04T15:06:42.0889678Z 2025-12-04T15:06:42.0890251Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py 2025-12-04T15:06:42.0890884Z ^ 2025-12-04T15:06:42.0891220Z warnings.warn(msg) 2025-12-04T15:06:42.0891514Z 2025-12-04T15:06:42.0891855Z --- Parse Warning: 7 / 17 --- 2025-12-04T15:06:42.0893110Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=vmap in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=39. 2025-12-04T15:06:42.0894544Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.0895064Z 2025-12-04T15:06:42.0895431Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that 2025-12-04T15:06:42.0896055Z maps ``func`` over some dimension of the inputs. Semantically, vmap 2025-12-04T15:06:42.0896673Z pushes the map into PyTorch operations called by ``func``, effectively 2025-12-04T15:06:42.0897180Z vectorizing those operations. 2025-12-04T15:06:42.0897508Z 2025-12-04T15:06:42.0897882Z vmap is useful for handling batch dimensions: one can write a function 2025-12-04T15:06:42.0898482Z ``func`` that runs on examples and then lift it to a function that can 2025-12-04T15:06:42.0899096Z take batches of examples with ``vmap(func)``. vmap can also be used to 2025-12-04T15:06:42.0899672Z compute batched gradients when composed with autograd. 2025-12-04T15:06:42.0900095Z 2025-12-04T15:06:42.0900312Z .. note:: 2025-12-04T15:06:42.0900666Z :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for 2025-12-04T15:06:42.0901159Z convenience. Use whichever one you'd like. 2025-12-04T15:06:42.0901514Z 2025-12-04T15:06:42.0901734Z Args: 2025-12-04T15:06:42.0902150Z func (function): A Python function that takes one or more arguments. 2025-12-04T15:06:42.0902679Z Must return one or more Tensors. 2025-12-04T15:06:42.0903165Z in_dims (int or nested structure): Specifies which dimension of the 2025-12-04T15:06:42.0903732Z inputs should be mapped over. ``in_dims`` should have a 2025-12-04T15:06:42.0904286Z structure like the inputs. If the ``in_dim`` for a particular 2025-12-04T15:06:42.0905003Z input is None, then that indicates there is no map dimension. 2025-12-04T15:06:42.0905459Z Default: 0. 2025-12-04T15:06:42.0905867Z out_dims (int or Tuple[int]): Specifies where the mapped dimension 2025-12-04T15:06:42.0906439Z should appear in the outputs. If ``out_dims`` is a Tuple, then 2025-12-04T15:06:42.0906974Z it should have one element per output. Default: 0. 2025-12-04T15:06:42.0907498Z randomness (str): Specifies whether the randomness in this 2025-12-04T15:06:42.0908086Z vmap should be the same or different across batches. If 'different', 2025-12-04T15:06:42.0908685Z the randomness for each batch will be different. If 'same', the 2025-12-04T15:06:42.0909301Z randomness will be the same across batches. If 'error', any calls to 2025-12-04T15:06:42.0909926Z random functions will error. Default: 'error'. WARNING: this flag 2025-12-04T15:06:42.0910525Z only applies to random PyTorch operations and does not apply to 2025-12-04T15:06:42.0911050Z Python's random module or numpy randomness. 2025-12-04T15:06:42.0911593Z chunk_size (None or int): If None (default), apply a single vmap over inputs. 2025-12-04T15:06:42.0912254Z If not None, then compute the vmap :attr:`chunk_size` samples at a time. 2025-12-04T15:06:42.0912934Z Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop. 2025-12-04T15:06:42.0913682Z If you run into memory issues computing the vmap, please try a non-None chunk_size. 2025-12-04T15:06:42.0914217Z 2025-12-04T15:06:42.0914427Z Returns: 2025-12-04T15:06:42.0914875Z Returns a new "batched" function. It takes the same inputs as 2025-12-04T15:06:42.0915439Z ``func``, except each input has an extra dimension at the index 2025-12-04T15:06:42.0916006Z specified by ``in_dims``. It takes returns the same outputs as 2025-12-04T15:06:42.0916557Z ``func``, except each output has an extra dimension at the index 2025-12-04T15:06:42.0917028Z specified by ``out_dims``. 2025-12-04T15:06:42.0917348Z 2025-12-04T15:06:42.0917607Z .. warning: 2025-12-04T15:06:42.0917991Z :func:`vmap` works best with functional-style code. Please do not 2025-12-04T15:06:42.0918568Z perform any side-effects in ``func``, with the exception of 2025-12-04T15:06:42.0919174Z in-place PyTorch operations. Examples of side-effects include mutating 2025-12-04T15:06:42.0919844Z Python data structures and assigning values to variables not captured 2025-12-04T15:06:42.0920343Z in ``func``. 2025-12-04T15:06:42.0920608Z 2025-12-04T15:06:42.0920991Z One example of using :func:`vmap` is to compute batched dot products. PyTorch 2025-12-04T15:06:42.0921652Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully 2025-12-04T15:06:42.0922294Z rummaging through docs, use :func:`vmap` to construct a new function. 2025-12-04T15:06:42.0922765Z 2025-12-04T15:06:42.0923011Z >>> torch.dot # [D], [D] -> [] 2025-12-04T15:06:42.0923487Z >>> batched_dot = torch.func.vmap(torch.dot) # [N, D], [N, D] -> [N] 2025-12-04T15:06:42.0923993Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T15:06:42.0924375Z >>> batched_dot(x, y) 2025-12-04T15:06:42.0924668Z 2025-12-04T15:06:42.0925038Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler 2025-12-04T15:06:42.0925561Z model authoring experience. 2025-12-04T15:06:42.0925872Z 2025-12-04T15:06:42.0926178Z >>> batch_size, feature_size = 3, 5 2025-12-04T15:06:42.0926658Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T15:06:42.0927092Z >>> 2025-12-04T15:06:42.0927343Z >>> def model(feature_vec): 2025-12-04T15:06:42.0927706Z >>> # Very simple linear model with activation 2025-12-04T15:06:42.0928125Z >>> return feature_vec.dot(weights).relu() 2025-12-04T15:06:42.0928492Z >>> 2025-12-04T15:06:42.0928782Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T15:06:42.0929225Z >>> result = torch.vmap(model)(examples) 2025-12-04T15:06:42.0929583Z 2025-12-04T15:06:42.0929986Z :func:`vmap` can also help vectorize computations that were previously difficult 2025-12-04T15:06:42.0930683Z or impossible to batch. One example is higher-order gradient computation. 2025-12-04T15:06:42.0931450Z The PyTorch autograd engine computes vjps (vector-Jacobian products). 2025-12-04T15:06:42.0932125Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually 2025-12-04T15:06:42.0932805Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`, 2025-12-04T15:06:42.0933518Z we can vectorize the whole computation, computing the Jacobian in a single 2025-12-04T15:06:42.0934047Z call to ``autograd.grad``. 2025-12-04T15:06:42.0934344Z 2025-12-04T15:06:42.0934570Z >>> # Setup 2025-12-04T15:06:42.0934826Z >>> N = 5 2025-12-04T15:06:42.0935082Z >>> f = lambda x: x**2 2025-12-04T15:06:42.0935430Z >>> x = torch.randn(N, requires_grad=True) 2025-12-04T15:06:42.0935803Z >>> y = f(x) 2025-12-04T15:06:42.0936086Z >>> I_N = torch.eye(N) 2025-12-04T15:06:42.0936378Z >>> 2025-12-04T15:06:42.0936639Z >>> # Sequential approach 2025-12-04T15:06:42.0937118Z >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0] 2025-12-04T15:06:42.0937625Z >>> for v in I_N.unbind()] 2025-12-04T15:06:42.0938033Z >>> jacobian = torch.stack(jacobian_rows) 2025-12-04T15:06:42.0938456Z >>> 2025-12-04T15:06:42.0938716Z >>> # vectorized gradient computation 2025-12-04T15:06:42.0939091Z >>> def get_vjp(v): 2025-12-04T15:06:42.0939433Z >>> return torch.autograd.grad(y, x, v) 2025-12-04T15:06:42.0939832Z >>> jacobian = torch.vmap(get_vjp)(I_N) 2025-12-04T15:06:42.0940188Z 2025-12-04T15:06:42.0940613Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions 2025-12-04T15:06:42.0941184Z 2025-12-04T15:06:42.0941415Z >>> torch.dot # [D], [D] -> [] 2025-12-04T15:06:42.0941780Z >>> batched_dot = torch.vmap( 2025-12-04T15:06:42.0942139Z ... torch.vmap(torch.dot) 2025-12-04T15:06:42.0942493Z ... ) # [N1, N0, D], [N1, N0, D] -> [N1, N0] 2025-12-04T15:06:42.0942911Z >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5) 2025-12-04T15:06:42.0943354Z >>> batched_dot(x, y) # tensor of size [2, 3] 2025-12-04T15:06:42.0943705Z 2025-12-04T15:06:42.0944111Z If the inputs are not batched along the first dimension, ``in_dims`` specifies 2025-12-04T15:06:42.0944710Z the dimension that each inputs are batched along as 2025-12-04T15:06:42.0945105Z 2025-12-04T15:06:42.0945332Z >>> torch.dot # [N], [N] -> [] 2025-12-04T15:06:42.0945820Z >>> batched_dot = torch.vmap(torch.dot, in_dims=1) # [N, D], [N, D] -> [D] 2025-12-04T15:06:42.0946357Z >>> x, y = torch.randn(2, 5), torch.randn(2, 5) 2025-12-04T15:06:42.0946727Z >>> batched_dot( 2025-12-04T15:06:42.0947009Z ... x, y 2025-12-04T15:06:42.0947392Z ... ) # output is [5] instead of [2] if batched along the 0th dimension 2025-12-04T15:06:42.0947827Z 2025-12-04T15:06:42.0948255Z If there are multiple inputs each of which is batched along different dimensions, 2025-12-04T15:06:42.0948955Z ``in_dims`` must be a tuple with the batch dimension for each input as 2025-12-04T15:06:42.0949400Z 2025-12-04T15:06:42.0949668Z >>> torch.dot # [D], [D] -> [] 2025-12-04T15:06:42.0950184Z >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None)) # [N, D], [D] -> [N] 2025-12-04T15:06:42.0950730Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T15:06:42.0951090Z >>> batched_dot( 2025-12-04T15:06:42.0951368Z ... x, y 2025-12-04T15:06:42.0951757Z ... ) # second arg doesn't have a batch dim because in_dim[1] was None 2025-12-04T15:06:42.0952195Z 2025-12-04T15:06:42.0952597Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct 2025-12-04T15:06:42.0953138Z matching the shape of the input: 2025-12-04T15:06:42.0953456Z 2025-12-04T15:06:42.0953739Z >>> f = lambda dict: torch.dot(dict["x"], dict["y"]) 2025-12-04T15:06:42.0954170Z >>> x, y = torch.randn(2, 5), torch.randn(5) 2025-12-04T15:06:42.0954550Z >>> input = {"x": x, "y": y} 2025-12-04T15:06:42.0954965Z >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},)) 2025-12-04T15:06:42.0955425Z >>> batched_dot(input) 2025-12-04T15:06:42.0955727Z 2025-12-04T15:06:42.0956156Z By default, the output is batched along the first dimension. However, it can be batched 2025-12-04T15:06:42.0956756Z along any dimension by using ``out_dims`` 2025-12-04T15:06:42.0957112Z 2025-12-04T15:06:42.0957330Z >>> f = lambda x: x**2 2025-12-04T15:06:42.0957648Z >>> x = torch.randn(2, 5) 2025-12-04T15:06:42.0958010Z >>> batched_pow = torch.vmap(f, out_dims=1) 2025-12-04T15:06:42.0958389Z >>> batched_pow(x) # [5, 2] 2025-12-04T15:06:42.0958710Z 2025-12-04T15:06:42.0959169Z For any function that uses kwargs, the returned function will not batch the kwargs but will 2025-12-04T15:06:42.0959750Z accept kwargs 2025-12-04T15:06:42.0959988Z 2025-12-04T15:06:42.0960223Z >>> x = torch.randn([2, 5]) 2025-12-04T15:06:42.0960563Z >>> def fn(x, scale=4.): 2025-12-04T15:06:42.0960874Z >>> return x * scale 2025-12-04T15:06:42.0961232Z >>> 2025-12-04T15:06:42.0961486Z >>> batched_pow = torch.vmap(fn) 2025-12-04T15:06:42.0961882Z >>> assert torch.allclose(batched_pow(x), x * 4) 2025-12-04T15:06:42.0962425Z >>> batched_pow(x, scale=x) # scale is not batched, output has shape [2, 2, 5] 2025-12-04T15:06:42.0962916Z 2025-12-04T15:06:42.0963135Z .. note:: 2025-12-04T15:06:42.0963531Z vmap does not provide general autobatching or handle variable-length 2025-12-04T15:06:42.0964075Z sequences out of the box. 2025-12-04T15:06:42.0964382Z 2025-12-04T15:06:42.0965121Z Original Error: IndentationError('expected an indented block after function definition on line 4', ('', 5, 1, '_._ = None\n', 5, 2)) 2025-12-04T15:06:42.0965956Z 2025-12-04T15:06:42.0966178Z _._ = None 2025-12-04T15:06:42.0966405Z ^ 2025-12-04T15:06:42.0966644Z warnings.warn(msg) 2025-12-04T15:06:42.0966925Z 2025-12-04T15:06:42.0967288Z --- Parse Warning: 8 / 17 --- 2025-12-04T15:06:42.0968543Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=grad in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/apis.py line=306. 2025-12-04T15:06:42.0969932Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.0970611Z ``grad`` operator helps computing gradients of ``func`` with respect to the 2025-12-04T15:06:42.0971365Z input(s) specified by ``argnums``. This operator can be nested to 2025-12-04T15:06:42.0971862Z compute higher-order gradients. 2025-12-04T15:06:42.0972207Z 2025-12-04T15:06:42.0972416Z Args: 2025-12-04T15:06:42.0972810Z func (Callable): A Python function that takes one or more arguments. 2025-12-04T15:06:42.0973544Z Must return a single-element Tensor. If specified ``has_aux`` equals ``True``, 2025-12-04T15:06:42.0974331Z function can return a tuple of single-element Tensor and other auxiliary objects: 2025-12-04T15:06:42.0974902Z ``(output, aux)``. 2025-12-04T15:06:42.0975448Z argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to. 2025-12-04T15:06:42.0976143Z ``argnums`` can be single integer or tuple of integers. Default: 0. 2025-12-04T15:06:42.0976754Z has_aux (bool): Flag indicating that ``func`` returns a tensor and other 2025-12-04T15:06:42.0977342Z auxiliary objects: ``(output, aux)``. Default: False. 2025-12-04T15:06:42.0977766Z 2025-12-04T15:06:42.0977978Z Returns: 2025-12-04T15:06:42.0978465Z Function to compute gradients with respect to its inputs. By default, the output of 2025-12-04T15:06:42.0979203Z the function is the gradient tensor(s) with respect to the first argument. 2025-12-04T15:06:42.0979936Z If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects 2025-12-04T15:06:42.0980670Z is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with 2025-12-04T15:06:42.0981266Z respect to each ``argnums`` value is returned. 2025-12-04T15:06:42.0981657Z 2025-12-04T15:06:42.0981888Z Example of using ``grad``: 2025-12-04T15:06:42.0982207Z 2025-12-04T15:06:42.0982447Z >>> # xdoctest: +SKIP 2025-12-04T15:06:42.0982778Z >>> from torch.func import grad 2025-12-04T15:06:42.0983148Z >>> x = torch.randn([]) 2025-12-04T15:06:42.0983514Z >>> cos_x = grad(lambda x: torch.sin(x))(x) 2025-12-04T15:06:42.0983931Z >>> assert torch.allclose(cos_x, x.cos()) 2025-12-04T15:06:42.0984289Z >>> 2025-12-04T15:06:42.0984558Z >>> # Second-order gradients 2025-12-04T15:06:42.0984968Z >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x) 2025-12-04T15:06:42.0985411Z >>> assert torch.allclose(neg_sin_x, -x.sin()) 2025-12-04T15:06:42.0985881Z 2025-12-04T15:06:42.0986301Z When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients: 2025-12-04T15:06:42.0986806Z 2025-12-04T15:06:42.0987042Z >>> # xdoctest: +SKIP 2025-12-04T15:06:42.0987400Z >>> from torch.func import grad, vmap 2025-12-04T15:06:42.0987784Z >>> batch_size, feature_size = 3, 5 2025-12-04T15:06:42.0988143Z >>> 2025-12-04T15:06:42.0988459Z >>> def model(weights, feature_vec): 2025-12-04T15:06:42.0988878Z >>> # Very simple linear model with activation 2025-12-04T15:06:42.0989281Z >>> assert feature_vec.dim() == 1 2025-12-04T15:06:42.0989687Z >>> return feature_vec.dot(weights).relu() 2025-12-04T15:06:42.0990059Z >>> 2025-12-04T15:06:42.0990354Z >>> def compute_loss(weights, example, target): 2025-12-04T15:06:42.0990773Z >>> y = model(weights, example) 2025-12-04T15:06:42.0991185Z >>> return ((y - target) ** 2).mean() # MSELoss 2025-12-04T15:06:42.0991556Z >>> 2025-12-04T15:06:42.0991901Z >>> weights = torch.randn(feature_size, requires_grad=True) 2025-12-04T15:06:42.0992413Z >>> examples = torch.randn(batch_size, feature_size) 2025-12-04T15:06:42.0992851Z >>> targets = torch.randn(batch_size) 2025-12-04T15:06:42.0993246Z >>> inputs = (weights, examples, targets) 2025-12-04T15:06:42.0993788Z >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))( 2025-12-04T15:06:42.0994303Z ... *inputs 2025-12-04T15:06:42.0994578Z ... ) 2025-12-04T15:06:42.0994824Z 2025-12-04T15:06:42.0995202Z Example of using ``grad`` with ``has_aux`` and ``argnums``: 2025-12-04T15:06:42.0995615Z 2025-12-04T15:06:42.0995888Z >>> # xdoctest: +SKIP 2025-12-04T15:06:42.0996236Z >>> from torch.func import grad 2025-12-04T15:06:42.0996631Z >>> def my_loss_func(y, y_pred): 2025-12-04T15:06:42.0997033Z >>> loss_per_sample = (0.5 * y_pred - y) ** 2 2025-12-04T15:06:42.0997447Z >>> loss = loss_per_sample.mean() 2025-12-04T15:06:42.0997854Z >>> return loss, (y_pred, loss_per_sample) 2025-12-04T15:06:42.0998209Z >>> 2025-12-04T15:06:42.0998529Z >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True) 2025-12-04T15:06:42.0998954Z >>> y_true = torch.rand(4) 2025-12-04T15:06:42.0999333Z >>> y_preds = torch.rand(4, requires_grad=True) 2025-12-04T15:06:42.0999739Z >>> out = fn(y_true, y_preds) 2025-12-04T15:06:42.1000265Z >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample)) 2025-12-04T15:06:42.1000759Z 2025-12-04T15:06:42.1000988Z .. note:: 2025-12-04T15:06:42.1001338Z Using PyTorch ``torch.no_grad`` together with ``grad``. 2025-12-04T15:06:42.1001751Z 2025-12-04T15:06:42.1002047Z Case 1: Using ``torch.no_grad`` inside a function: 2025-12-04T15:06:42.1002435Z 2025-12-04T15:06:42.1002672Z >>> # xdoctest: +SKIP 2025-12-04T15:06:42.1002992Z >>> def f(x): 2025-12-04T15:06:42.1003315Z >>> with torch.no_grad(): 2025-12-04T15:06:42.1003673Z >>> c = x ** 2 2025-12-04T15:06:42.1003996Z >>> return x - c 2025-12-04T15:06:42.1004313Z 2025-12-04T15:06:42.1004826Z In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``. 2025-12-04T15:06:42.1005268Z 2025-12-04T15:06:42.1005598Z Case 2: Using ``grad`` inside ``torch.no_grad`` context manager: 2025-12-04T15:06:42.1006052Z 2025-12-04T15:06:42.1006277Z >>> # xdoctest: +SKIP 2025-12-04T15:06:42.1006626Z >>> with torch.no_grad(): 2025-12-04T15:06:42.1006978Z >>> grad(f)(x) 2025-12-04T15:06:42.1007275Z 2025-12-04T15:06:42.1007727Z In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the 2025-12-04T15:06:42.1008373Z outer one. This is because ``grad`` is a "function transform": its result 2025-12-04T15:06:42.1009018Z should not depend on the result of a context manager outside of ``f``. 2025-12-04T15:06:42.1009488Z 2025-12-04T15:06:42.1009706Z 2025-12-04T15:06:42.1010446Z Original Error: IndentationError('expected an indented block after function definition on line 5', ('', 6, 1, '_._ = None\n', 6, 2)) 2025-12-04T15:06:42.1011411Z 2025-12-04T15:06:42.1011630Z _._ = None 2025-12-04T15:06:42.1011873Z ^ 2025-12-04T15:06:42.1012098Z warnings.warn(msg) 2025-12-04T15:06:42.1012395Z 2025-12-04T15:06:42.1012775Z --- Parse Warning: 9 / 17 --- 2025-12-04T15:06:42.1014185Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/custom_ops.py line=402. 2025-12-04T15:06:42.1015727Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.1016360Z Register a FakeTensor implementation for this custom op. 2025-12-04T15:06:42.1016795Z 2025-12-04T15:06:42.1017191Z This is necessary to get the operator to work efficiently with torch.compile. 2025-12-04T15:06:42.1017717Z 2025-12-04T15:06:42.1018097Z The Fake impl (sometimes also known as a meta kernel or abstract impl) 2025-12-04T15:06:42.1018756Z specifies the behavior of this operator on Tensors that carry no data. 2025-12-04T15:06:42.1019325Z Given some input Tensors with certain properties 2025-12-04T15:06:42.1019992Z (sizes/strides/storage_offset/device), it specifies what the properties of 2025-12-04T15:06:42.1020551Z the output Tensors are. 2025-12-04T15:06:42.1020917Z 2025-12-04T15:06:42.1021283Z Please see :func:`torch.library.register_fake` for more details. 2025-12-04T15:06:42.1021750Z 2025-12-04T15:06:42.1021959Z Args: 2025-12-04T15:06:42.1022316Z fn (Callable): The function to register as the FakeTensor 2025-12-04T15:06:42.1022764Z implementation. 2025-12-04T15:06:42.1023083Z 2025-12-04T15:06:42.1023297Z Examples: 2025-12-04T15:06:42.1023583Z >>> import torch 2025-12-04T15:06:42.1023922Z >>> import numpy as np 2025-12-04T15:06:42.1024270Z >>> from torch import Tensor 2025-12-04T15:06:42.1024616Z >>> 2025-12-04T15:06:42.1024989Z >>> # Example 1: an operator without data-dependent output shape 2025-12-04T15:06:42.1025545Z >>> @torch.library.custom_op("mylib::linear", mutates_args=()) 2025-12-04T15:06:42.1026122Z >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor: 2025-12-04T15:06:42.1026624Z >>> return (x @ weight.t()) + bias 2025-12-04T15:06:42.1026984Z >>> 2025-12-04T15:06:42.1027247Z >>> @linear.register_fake 2025-12-04T15:06:42.1027610Z >>> def _(x, weight, bias): 2025-12-04T15:06:42.1027971Z >>> assert x.dim() == 2 2025-12-04T15:06:42.1028326Z >>> assert weight.dim() == 2 2025-12-04T15:06:42.1028706Z >>> assert bias.dim() == 1 2025-12-04T15:06:42.1029104Z >>> assert x.shape[1] == weight.shape[1] 2025-12-04T15:06:42.1029520Z >>> assert weight.shape[0] == bias.shape[0] 2025-12-04T15:06:42.1029947Z >>> assert x.device == weight.device 2025-12-04T15:06:42.1030385Z >>> return x.new_empty(x.size(0), weight.size(0)) 2025-12-04T15:06:42.1030773Z >>> 2025-12-04T15:06:42.1031043Z >>> x = torch.randn(2, 2) 2025-12-04T15:06:42.1031416Z >>> weight = torch.randn(2, 2) 2025-12-04T15:06:42.1031827Z >>> bias = torch.randn(2) 2025-12-04T15:06:42.1032212Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T15:06:42.1032721Z >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias) 2025-12-04T15:06:42.1033233Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T15:06:42.1033795Z >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias)) 2025-12-04T15:06:42.1034355Z >>> 2025-12-04T15:06:42.1034713Z >>> # Example 2: an operator with data-dependent output shape 2025-12-04T15:06:42.1035282Z >>> @torch.library.custom_op("mylib::nonzero", mutates_args=()) 2025-12-04T15:06:42.1035767Z >>> def nonzero(x: Tensor) -> Tensor: 2025-12-04T15:06:42.1036161Z >>> x_np = x.cpu().numpy() 2025-12-04T15:06:42.1036565Z >>> res = np.stack(np.nonzero(x_np), axis=1) 2025-12-04T15:06:42.1036997Z >>> return torch.tensor(res, device=x.device) 2025-12-04T15:06:42.1037381Z >>> 2025-12-04T15:06:42.1037661Z >>> @nonzero.register_fake 2025-12-04T15:06:42.1038007Z >>> def _(x): 2025-12-04T15:06:42.1038377Z >>> # Number of nonzero-elements is data-dependent. 2025-12-04T15:06:42.1038871Z >>> # Since we cannot peek at the data in an abstract impl, 2025-12-04T15:06:42.1039381Z >>> # we use the ctx object to construct a new symint that 2025-12-04T15:06:42.1039834Z >>> # represents the data-dependent size. 2025-12-04T15:06:42.1040254Z >>> ctx = torch.library.get_ctx() 2025-12-04T15:06:42.1040657Z >>> nnz = ctx.new_dynamic_size() 2025-12-04T15:06:42.1041069Z >>> shape = [nnz, x.dim()] 2025-12-04T15:06:42.1041541Z >>> result = x.new_empty(shape, dtype=torch.int64) 2025-12-04T15:06:42.1041963Z >>> return result 2025-12-04T15:06:42.1042277Z >>> 2025-12-04T15:06:42.1042570Z >>> x = torch.tensor([0, 1, 2, 0, 0, 1]) 2025-12-04T15:06:42.1042989Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T15:06:42.1043450Z >>> out = torch.compile(nonzero, fullgraph=True)(x) 2025-12-04T15:06:42.1043893Z >>> # xdoctest: +SKIP("Requires Python <= 3.11") 2025-12-04T15:06:42.1044331Z >>> assert torch.allclose(out, x.nonzero()) 2025-12-04T15:06:42.1044704Z 2025-12-04T15:06:42.1045002Z 2025-12-04T15:06:42.1045803Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('', 37, 1, '_._ = None\n', 37, 2)) 2025-12-04T15:06:42.1046646Z 2025-12-04T15:06:42.1046854Z _._ = None 2025-12-04T15:06:42.1047093Z ^ 2025-12-04T15:06:42.1047331Z warnings.warn(msg) 2025-12-04T15:06:42.1047621Z 2025-12-04T15:06:42.1047975Z --- Parse Warning: 10 / 17 --- 2025-12-04T15:06:42.1049478Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_library/fake_profile.py line=94. 2025-12-04T15:06:42.1051062Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines') 2025-12-04T15:06:42.1051680Z 2025-12-04T15:06:42.1052072Z Registers a fake kernel based on the given operator profiles. This fake 2025-12-04T15:06:42.1052761Z kernel registration will override any existing fake kernel registrations. 2025-12-04T15:06:42.1053280Z 2025-12-04T15:06:42.1053635Z The input is a dictionary mapping operator names to a set of operator 2025-12-04T15:06:42.1054293Z profiles, which we will use to generate fake kernels. The operator profiles 2025-12-04T15:06:42.1054933Z are a record of the input and output tensor metadata. Based on this 2025-12-04T15:06:42.1055627Z information we will match a given input to the recorded profile, and return 2025-12-04T15:06:42.1056302Z an output with the same metadata as in the recorded profile. If a profile 2025-12-04T15:06:42.1069270Z doesn't exist then an exception will be thrown. 2025-12-04T15:06:42.1069806Z 2025-12-04T15:06:42.1070184Z The fake kernel generation is considered unsafe because it relies on the 2025-12-04T15:06:42.1070958Z rigid, pre-defined operator profiles that do not account for potential 2025-12-04T15:06:42.1071643Z variations in output behavior. Specifically, the generated kernels assume a 2025-12-04T15:06:42.1072359Z fixed relationship between input and output ranks. However, in reality, it's 2025-12-04T15:06:42.1073078Z possible that data-dependent operations may produce outputs of different 2025-12-04T15:06:42.1073753Z ranks even when given inputs of the same rank. The generated fake kernels 2025-12-04T15:06:42.1074401Z are inflexible and unable to accommodate these nuances, making them 2025-12-04T15:06:42.1074887Z potentially unsafe. 2025-12-04T15:06:42.1075169Z 2025-12-04T15:06:42.1075392Z Args: 2025-12-04T15:06:42.1075767Z op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator 2025-12-04T15:06:42.1076391Z name to a set of operator profiles from which we will generate fake 2025-12-04T15:06:42.1076863Z kernels. 2025-12-04T15:06:42.1077113Z 2025-12-04T15:06:42.1077343Z Examples: 2025-12-04T15:06:42.1077582Z 2025-12-04T15:06:42.1077890Z >>> # Example: Registering an op-profile from draft-export 2025-12-04T15:06:42.1078320Z >>> import torch 2025-12-04T15:06:42.1078693Z >>> from torch.export._draft_export import draft_export 2025-12-04T15:06:42.1079092Z >>> 2025-12-04T15:06:42.1079487Z >>> @torch.library.custom_op("mylib::foo", mutates_args=()) 2025-12-04T15:06:42.1080013Z >>> def foo(x: Tensor, y: Tensor) -> Tensor: 2025-12-04T15:06:42.1080402Z >>> return x + y 2025-12-04T15:06:42.1080679Z >>> 2025-12-04T15:06:42.1080937Z >>> class M(torch.nn.Module): 2025-12-04T15:06:42.1081297Z >>> def forward(self, a, b): 2025-12-04T15:06:42.1081696Z >>> res = torch.ops.mylib.foo(a, b) # no fake impl 2025-12-04T15:06:42.1082105Z >>> return res 2025-12-04T15:06:42.1082400Z >>> 2025-12-04T15:06:42.1082722Z >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4)) 2025-12-04T15:06:42.1083152Z >>> 2025-12-04T15:06:42.1083630Z >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles): 2025-12-04T15:06:42.1084250Z >>> decomp = ep.run_decompositions() 2025-12-04T15:06:42.1084601Z 2025-12-04T15:06:42.1084820Z 2025-12-04T15:06:42.1085505Z Original Error: IncompleteParseError('ill-formed doctest: all parts have been processed but the doctest source is not balanced') 2025-12-04T15:06:42.1086277Z 2025-12-04T15:06:42.1086512Z warnings.warn(msg) 2025-12-04T15:06:42.1086799Z 2025-12-04T15:06:42.1087190Z --- Parse Warning: 11 / 17 --- 2025-12-04T15:06:42.1088864Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16. 2025-12-04T15:06:42.1090675Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.1091301Z 2025-12-04T15:06:42.1091727Z The Activation sparsifier class aims to sparsify/prune activations in a neural 2025-12-04T15:06:42.1092438Z network. The idea is to attach the sparsifier to a layer (or layers) and it 2025-12-04T15:06:42.1093136Z zeroes out the activations based on the mask_fn (or sparsification function) 2025-12-04T15:06:42.1093709Z input by the user. 2025-12-04T15:06:42.1094156Z The mask_fn is applied once all the inputs are aggregated and reduced i.e. 2025-12-04T15:06:42.1094735Z mask = mask_fn(reduce_fn(aggregate_fn(activations))) 2025-12-04T15:06:42.1095134Z 2025-12-04T15:06:42.1095350Z Note:: 2025-12-04T15:06:42.1095859Z The sparsification mask is computed on the input **before it goes through the attached layer**. 2025-12-04T15:06:42.1096496Z 2025-12-04T15:06:42.1096701Z Args: 2025-12-04T15:06:42.1096945Z model (nn.Module): 2025-12-04T15:06:42.1097404Z The model whose layers will be sparsified. The layers that needs to be 2025-12-04T15:06:42.1098069Z sparsified should be added separately using the register_layer() function 2025-12-04T15:06:42.1098624Z aggregate_fn (Optional, Callable): 2025-12-04T15:06:42.1099183Z default aggregate_fn that is used if not specified while registering the layer. 2025-12-04T15:06:42.1099814Z specifies how inputs should be aggregated over time. 2025-12-04T15:06:42.1100452Z The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor. 2025-12-04T15:06:42.1101020Z Example 2025-12-04T15:06:42.1101382Z def add_agg_fn(tensor1, tensor2): return tensor1 + tensor2 2025-12-04T15:06:42.1101843Z reduce_fn (Optional, Callable): 2025-12-04T15:06:42.1102385Z default reduce_fn that is used if not specified while registering the layer. 2025-12-04T15:06:42.1103098Z reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after 2025-12-04T15:06:42.1103664Z calling agg_fn() on all inputs. 2025-12-04T15:06:42.1104020Z Example 2025-12-04T15:06:42.1104656Z def mean_reduce_fn(agg_tensor): return agg_tensor.mean(dim=0) 2025-12-04T15:06:42.1105230Z mask_fn (Optional, Callable): 2025-12-04T15:06:42.1105837Z default mask_fn that is used to create the sparsification mask using the tensor obtained after 2025-12-04T15:06:42.1106620Z calling the reduce_fn(). This is used by default if a custom one is passed in the 2025-12-04T15:06:42.1107170Z register_layer(). 2025-12-04T15:06:42.1107809Z Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config 2025-12-04T15:06:42.1108447Z arguments. 2025-12-04T15:06:42.1108779Z features (Optional, list): 2025-12-04T15:06:42.1109181Z default selected features to sparsify. 2025-12-04T15:06:42.1109753Z If this is non-empty, then the mask_fn will be applied for each feature of the input. 2025-12-04T15:06:42.1110313Z For example, 2025-12-04T15:06:42.1110824Z mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features] 2025-12-04T15:06:42.1111377Z feature_dim (Optional, int): 2025-12-04T15:06:42.1111955Z default dimension of input features. Again, features along this dim will be chosen 2025-12-04T15:06:42.1112531Z for sparsification. 2025-12-04T15:06:42.1112895Z sparse_config (Dict): 2025-12-04T15:06:42.1113371Z Default configuration for the mask_fn. This config will be passed 2025-12-04T15:06:42.1113880Z with the mask_fn() 2025-12-04T15:06:42.1114205Z 2025-12-04T15:06:42.1114414Z Example: 2025-12-04T15:06:42.1114675Z >>> # xdoctest: +SKIP 2025-12-04T15:06:42.1114993Z >>> model = SomeModel() 2025-12-04T15:06:42.1115468Z >>> act_sparsifier = ActivationSparsifier(...) # init activation sparsifier 2025-12-04T15:06:42.1116017Z >>> # Initialize aggregate_fn 2025-12-04T15:06:42.1116367Z >>> def agg_fn(x, y): 2025-12-04T15:06:42.1116684Z >>> return x + y 2025-12-04T15:06:42.1117022Z >>> 2025-12-04T15:06:42.1117279Z >>> # Initialize reduce_fn 2025-12-04T15:06:42.1117621Z >>> def reduce_fn(x): 2025-12-04T15:06:42.1117938Z >>> return torch.mean(x, dim=0) 2025-12-04T15:06:42.1118284Z >>> 2025-12-04T15:06:42.1118528Z >>> # Initialize mask_fn 2025-12-04T15:06:42.1118841Z >>> def mask_fn(data): 2025-12-04T15:06:42.1119212Z >>> return torch.eye(data.shape).to(data.device) 2025-12-04T15:06:42.1119658Z >>> 2025-12-04T15:06:42.1119874Z >>> 2025-12-04T15:06:42.1120143Z >>> act_sparsifier.register_layer( 2025-12-04T15:06:42.1120519Z ... model.some_layer, 2025-12-04T15:06:42.1120840Z ... aggregate_fn=agg_fn, 2025-12-04T15:06:42.1121184Z ... reduce_fn=reduce_fn, 2025-12-04T15:06:42.1121520Z ... mask_fn=mask_fn, 2025-12-04T15:06:42.1121813Z ... ) 2025-12-04T15:06:42.1122144Z >>> 2025-12-04T15:06:42.1122492Z >>> # start training process 2025-12-04T15:06:42.1123004Z >>> for _ in [...]: 2025-12-04T15:06:42.1123424Z >>> # epoch starts 2025-12-04T15:06:42.1123970Z >>> # model.forward(), compute_loss() and model.backwards() 2025-12-04T15:06:42.1124416Z >>> # epoch ends 2025-12-04T15:06:42.1124864Z >>> act_sparsifier.step() 2025-12-04T15:06:42.1125399Z >>> # end training process 2025-12-04T15:06:42.1125860Z >>> sparsifier.squash_mask() 2025-12-04T15:06:42.1126191Z 2025-12-04T15:06:42.1126908Z Original Error: IndentationError("expected an indented block after 'for' statement on line 25", ('', 26, 1, '_._ = None\n', 26, 2)) 2025-12-04T15:06:42.1127716Z 2025-12-04T15:06:42.1127923Z _._ = None 2025-12-04T15:06:42.1128166Z ^ 2025-12-04T15:06:42.1128400Z warnings.warn(msg) 2025-12-04T15:06:42.1128663Z 2025-12-04T15:06:42.1129160Z --- Parse Warning: 12 / 17 --- 2025-12-04T15:06:42.1130600Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/device_mesh.py line=547. 2025-12-04T15:06:42.1132258Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.1132763Z 2025-12-04T15:06:42.1133204Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh. 2025-12-04T15:06:42.1133960Z The submesh created consists of the dimensions and the communicators indicated by 2025-12-04T15:06:42.1134510Z ``mesh_dim_names`` 2025-12-04T15:06:42.1134760Z 2025-12-04T15:06:42.1134970Z Args: 2025-12-04T15:06:42.1135364Z mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the 2025-12-04T15:06:42.1135980Z mesh dimension of the DeviceMesh to create the submesh for. 2025-12-04T15:06:42.1136413Z Returns: 2025-12-04T15:06:42.1136669Z A :class:`DeviceMesh` object 2025-12-04T15:06:42.1136974Z 2025-12-04T15:06:42.1137424Z The following program runs on each process/rank in an SPMD manner in a world size of 8. 2025-12-04T15:06:42.1137993Z In the first example: 2025-12-04T15:06:42.1138459Z Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]). 2025-12-04T15:06:42.1139152Z Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of DeviceMesh:([4, 5, 6, 7]). 2025-12-04T15:06:42.1139832Z Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of DeviceMesh:([0, 4]). 2025-12-04T15:06:42.1140474Z Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of DeviceMesh:([1, 5]). 2025-12-04T15:06:42.1141103Z Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of DeviceMesh:([2, 6]). 2025-12-04T15:06:42.1141742Z Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of DeviceMesh:([3, 7]). 2025-12-04T15:06:42.1142217Z 2025-12-04T15:06:42.1142487Z In the second example: 2025-12-04T15:06:42.1142991Z Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]). 2025-12-04T15:06:42.1143739Z Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]). 2025-12-04T15:06:42.1144479Z Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]). 2025-12-04T15:06:42.1145211Z Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]). 2025-12-04T15:06:42.1145777Z 2025-12-04T15:06:42.1146013Z Example:: 2025-12-04T15:06:42.1146238Z 2025-12-04T15:06:42.1146483Z >>> # xdoctest: +SKIP("no rank") 2025-12-04T15:06:42.1146926Z >>> from torch.distributed.device_mesh import DeviceMesh 2025-12-04T15:06:42.1147346Z >>> 2025-12-04T15:06:42.1147702Z >>> # Initialize a 2D device mesh as (2, 4) to represent the topology 2025-12-04T15:06:42.1148235Z >>> # of cross-host(dim 0), and within-host (dim 1). 2025-12-04T15:06:42.1148814Z >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T15:06:42.1149347Z >>> tp_mesh = mesh_2d["tp"] 2025-12-04T15:06:42.1149693Z >>> dp_mesh = mesh_2d["dp"] 2025-12-04T15:06:42.1150014Z >>> 2025-12-04T15:06:42.1150250Z >>> # Initialize a 3D mesh. 2025-12-04T15:06:42.1150794Z >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp")) 2025-12-04T15:06:42.1151609Z >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh. 2025-12-04T15:06:42.1152226Z >>> dp_cp_mesh = mesh_3d["dp", "cp"] 2025-12-04T15:06:42.1152597Z >>> cp_dp_mesh = mesh_3d["cp", "dp"] 2025-12-04T15:06:42.1152937Z 2025-12-04T15:06:42.1153932Z Original Error: SyntaxError('positional argument follows keyword argument', ('', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83)) 2025-12-04T15:06:42.1154930Z 2025-12-04T15:06:42.1155337Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp")) 2025-12-04T15:06:42.1155894Z ^ 2025-12-04T15:06:42.1156284Z warnings.warn(msg) 2025-12-04T15:06:42.1156553Z 2025-12-04T15:06:42.1156920Z --- Parse Warning: 13 / 17 --- 2025-12-04T15:06:42.1158326Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=SavePlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=122. 2025-12-04T15:06:42.1159858Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.1160388Z 2025-12-04T15:06:42.1160848Z Abstract class defining the protocol used by save_state_dict to plan the save process. 2025-12-04T15:06:42.1161419Z 2025-12-04T15:06:42.1161875Z SavePlanners are stateful objects that can be used to customize the whole save process. 2025-12-04T15:06:42.1162451Z 2025-12-04T15:06:42.1162900Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T15:06:42.1163496Z will be visible to the whole process. 2025-12-04T15:06:42.1163842Z 2025-12-04T15:06:42.1164274Z A planner subclass can expect the following sequence of calls during save_state_dict: 2025-12-04T15:06:42.1164831Z 2025-12-04T15:06:42.1165091Z 1) set_up_planner - called on all ranks. 2025-12-04T15:06:42.1165488Z Signals the start of a checkpoint save. 2025-12-04T15:06:42.1165853Z 2025-12-04T15:06:42.1166122Z 2) create_local_plan - called on all ranks. 2025-12-04T15:06:42.1166712Z Process the state_dict and produces a `SavePlan` that will be sent for global planning. 2025-12-04T15:06:42.1167281Z 2025-12-04T15:06:42.1167650Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T15:06:42.1168218Z Takes the SavePlan from all ranks and make any global decision. 2025-12-04T15:06:42.1168660Z 2025-12-04T15:06:42.1168913Z 4) finish_plan - called on all ranks. 2025-12-04T15:06:42.1169418Z This gives each rank a chance to adjust to global planning decisions. 2025-12-04T15:06:42.1169882Z 2025-12-04T15:06:42.1170185Z 5) resolve_data - called multiple times on each rank 2025-12-04T15:06:42.1170758Z Lookups a value on the `state_dict` for the storage layer to write. 2025-12-04T15:06:42.1171312Z 2025-12-04T15:06:42.1171790Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as 2025-12-04T15:06:42.1172493Z most changes can be expressed by changes in a single method. 2025-12-04T15:06:42.1172925Z 2025-12-04T15:06:42.1173180Z There are 3 usual patterns of extension: 2025-12-04T15:06:42.1173533Z 2025-12-04T15:06:42.1173947Z Rewriting state_dict. This is the simplest way to extend the save process as it 2025-12-04T15:06:42.1174625Z doesn't requite understanding the intrincacies of how SavePlan works: 2025-12-04T15:06:42.1175113Z 2025-12-04T15:06:42.1175365Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:42.1175762Z >>> class RenamePlanner(DefaultSavePlanner): 2025-12-04T15:06:42.1176152Z >>> def set_up_planner( 2025-12-04T15:06:42.1176461Z >>> self, 2025-12-04T15:06:42.1176740Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T15:06:42.1177134Z >>> storage_meta: Optional[StorageMeta], 2025-12-04T15:06:42.1177523Z >>> is_coordinator: bool, 2025-12-04T15:06:42.1177858Z >>> ) -> None: 2025-12-04T15:06:42.1178144Z >>> # prefix all keys with `foo_`` 2025-12-04T15:06:42.1178757Z >>> super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator) 2025-12-04T15:06:42.1179350Z 2025-12-04T15:06:42.1179851Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted 2025-12-04T15:06:42.1180461Z 2025-12-04T15:06:42.1180710Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:42.1181094Z >>> class FP16Planner(DefaultSavePlanner): 2025-12-04T15:06:42.1181483Z >>> def create_local_plan(self): 2025-12-04T15:06:42.1182079Z >>> plan = super().create_local_plan() 2025-12-04T15:06:42.1182448Z >>> for p in plan: 2025-12-04T15:06:42.1182788Z >>> if p.tensor_data is not None: 2025-12-04T15:06:42.1183232Z >>> p.tensor_data.properties.dtype = torch.float16 2025-12-04T15:06:42.1183662Z >>> return plan 2025-12-04T15:06:42.1183943Z >>> 2025-12-04T15:06:42.1184204Z >>> def resolve_data(self, write_item): 2025-12-04T15:06:42.1184613Z >>> item = super().resolve_data(write_item) 2025-12-04T15:06:42.1185189Z >>> return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16) 2025-12-04T15:06:42.1185737Z 2025-12-04T15:06:42.1186258Z Using the global planning step to make central decisions that can't be made individually by each rank 2025-12-04T15:06:42.1186870Z 2025-12-04T15:06:42.1187125Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:42.1187514Z >>> from itertools import zip_longest 2025-12-04T15:06:42.1187893Z >>> from dataclasses import replace 2025-12-04T15:06:42.1188324Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner): 2025-12-04T15:06:42.1188959Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0 2025-12-04T15:06:42.1189558Z >>> # This sample doesn't handle ShardedTensors 2025-12-04T15:06:42.1189969Z >>> def create_global_plan(self, all_plans): 2025-12-04T15:06:42.1190413Z >>> iters = [iter(all_plans[0].items)] * len(all_plans) 2025-12-04T15:06:42.1190834Z >>> items_per_rank = [ 2025-12-04T15:06:42.1191246Z >>> [item for item in items if item is not None] 2025-12-04T15:06:42.1191713Z >>> for items in zip(*zip_longest(*iters), strict=True) 2025-12-04T15:06:42.1192126Z >>> ] 2025-12-04T15:06:42.1192387Z >>> all_plans = [ 2025-12-04T15:06:42.1192707Z >>> replace(plan, items=items) 2025-12-04T15:06:42.1193178Z >>> for plan, items in zip(all_plans, items_per_rank, strict=True) 2025-12-04T15:06:42.1193664Z >>> ] 2025-12-04T15:06:42.1193964Z >>> return super().create_global_plan(all_plans) 2025-12-04T15:06:42.1194343Z 2025-12-04T15:06:42.1194769Z Finally, some planners need to save additional metadata in the checkpoint, this is 2025-12-04T15:06:42.1195515Z accomplished by having each rank contribute their data items in the local plan and 2025-12-04T15:06:42.1196098Z the global planner aggregate them: 2025-12-04T15:06:42.1196437Z 2025-12-04T15:06:42.1196689Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:42.1197114Z >>> class SaveExtraDataPlanner(DefaultSavePlanner): 2025-12-04T15:06:42.1197566Z >>> def create_local_plan(self) -> SavePlan: 2025-12-04T15:06:42.1197975Z >>> plan = super().create_local_plan() 2025-12-04T15:06:42.1198418Z >>> return replace(plan, planner_data="per-rank-data") 2025-12-04T15:06:42.1198826Z >>> 2025-12-04T15:06:42.1199295Z >>> def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]: 2025-12-04T15:06:42.1199992Z >>> global_plan, metadata = super().create_global_plan(all_plans) 2025-12-04T15:06:42.1200532Z >>> merged_data = [p.planner_data for p in global_plan] 2025-12-04T15:06:42.1201031Z >>> metadata = replace(metadata, planner_data=merged_data) 2025-12-04T15:06:42.1201518Z >>> return global_plan, metadata 2025-12-04T15:06:42.1201849Z 2025-12-04T15:06:42.1202613Z Original Error: IndentationError('expected an indented block after function definition on line 3', ('', 9, 0, '_._ = None\n', 9, -1)) 2025-12-04T15:06:42.1203457Z 2025-12-04T15:06:42.1203660Z _._ = None 2025-12-04T15:06:42.1203899Z ^ 2025-12-04T15:06:42.1204131Z warnings.warn(msg) 2025-12-04T15:06:42.1204400Z 2025-12-04T15:06:42.1204970Z --- Parse Warning: 14 / 17 --- 2025-12-04T15:06:42.1206377Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/checkpoint/planner.py line=305. 2025-12-04T15:06:42.1207932Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.1208436Z 2025-12-04T15:06:42.1208896Z Abstract class defining the protocol used by load_state_dict to plan the load process. 2025-12-04T15:06:42.1209463Z 2025-12-04T15:06:42.1209909Z LoadPlanner are stateful objects that can be used to customize the whole load process. 2025-12-04T15:06:42.1210480Z 2025-12-04T15:06:42.1210932Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it 2025-12-04T15:06:42.1211618Z will be visible to the whole process. 2025-12-04T15:06:42.1211955Z 2025-12-04T15:06:42.1212402Z A planner subclass can expect the following sequence of calls during load_state_dict: 2025-12-04T15:06:42.1212954Z 2025-12-04T15:06:42.1213208Z 1) set_up_planner - called on all ranks. 2025-12-04T15:06:42.1213621Z Signals the start of loading a checkpoint. 2025-12-04T15:06:42.1213992Z 2025-12-04T15:06:42.1214246Z 2) create_local_plan - called on all ranks. 2025-12-04T15:06:42.1214849Z Process the state_dict and produces a `LoadPlan` that will be sent for global planning. 2025-12-04T15:06:42.1215412Z 2025-12-04T15:06:42.1215736Z 3) create_global_plan - called on the coordinator rank only. 2025-12-04T15:06:42.1216303Z Takes the LoadPlan from all ranks and make any global decision. 2025-12-04T15:06:42.1216848Z 2025-12-04T15:06:42.1217137Z 4) load_bytes - called multiple times on each rank 2025-12-04T15:06:42.1217609Z This is called once per non-tensor value in state_dict. 2025-12-04T15:06:42.1217708Z 2025-12-04T15:06:42.1217959Z 5) resolve_tensor and commit_tensor - called multiple times on each rank 2025-12-04T15:06:42.1218162Z They are called in pair for each Tensor value in state_dict. 2025-12-04T15:06:42.1218313Z 2025-12-04T15:06:42.1218658Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as 2025-12-04T15:06:42.1218864Z most changes can be expressed by changes in a single method. 2025-12-04T15:06:42.1218964Z 2025-12-04T15:06:42.1219106Z There are two usual patterns of extension: 2025-12-04T15:06:42.1219194Z 2025-12-04T15:06:42.1219503Z Rewriting state_dict. This is the simplest way to extend the load process as it 2025-12-04T15:06:42.1219795Z doesn't requite understanding the intrincacies of how LoadPlan works. We need 2025-12-04T15:06:42.1220068Z to keep a reference to the original state_dict as load happens in place so 2025-12-04T15:06:42.1220205Z we need to be able to perform it in place 2025-12-04T15:06:42.1220292Z 2025-12-04T15:06:42.1220429Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:42.1220576Z >>> class RenamePlanner(DefaultLoadPlanner): 2025-12-04T15:06:42.1220688Z >>> def set_up_planner( 2025-12-04T15:06:42.1220792Z >>> self, 2025-12-04T15:06:42.1220920Z >>> state_dict: STATE_DICT_TYPE, 2025-12-04T15:06:42.1221029Z >>> metadata: Metadata, 2025-12-04T15:06:42.1221152Z >>> is_coordinator: bool, 2025-12-04T15:06:42.1221247Z >>> ) -> None: 2025-12-04T15:06:42.1221442Z >>> self.original_state_dict = state_dict 2025-12-04T15:06:42.1221681Z >>> state_dict = {"foo_" + k: v for k, v in state_dict.items()} 2025-12-04T15:06:42.1221776Z >>> 2025-12-04T15:06:42.1221917Z >>> if self.flatten_sharded_tensors: 2025-12-04T15:06:42.1222084Z >>> state_dict = _flatten_sharded_tensors(state_dict) 2025-12-04T15:06:42.1222175Z >>> 2025-12-04T15:06:42.1222311Z >>> if self.flatten_state_dict: 2025-12-04T15:06:42.1222516Z >>> state_dict, self.mappings = flatten_state_dict(state_dict) 2025-12-04T15:06:42.1222606Z >>> 2025-12-04T15:06:42.1222738Z >>> self.state_dict = state_dict 2025-12-04T15:06:42.1222856Z >>> self.metadata = metadata 2025-12-04T15:06:42.1223004Z >>> self.is_coordinator = is_coordinator 2025-12-04T15:06:42.1223091Z >>> 2025-12-04T15:06:42.1223225Z >>> def load_bytes(self, read_item, value): 2025-12-04T15:06:42.1223350Z >>> # Remove the "foo_" prefix 2025-12-04T15:06:42.1223718Z >>> self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False) 2025-12-04T15:06:42.1223808Z 2025-12-04T15:06:42.1223904Z 2025-12-04T15:06:42.1224199Z Modifying resolve_tensor and commit_tensor to handle load time transformation. 2025-12-04T15:06:42.1224285Z 2025-12-04T15:06:42.1224421Z >>> # xdoctest: +SKIP("undefined vars") 2025-12-04T15:06:42.1224594Z >>> class MetaModelMaterialize(DefaultSavePlanner): 2025-12-04T15:06:42.1224737Z >>> def resolve_tensor(self, read_item): 2025-12-04T15:06:42.1224884Z >>> tensor = super().resolve_tensor(read_item) 2025-12-04T15:06:42.1225046Z >>> return torch.empty_like(tensor, device="cpu") 2025-12-04T15:06:42.1225148Z >>> 2025-12-04T15:06:42.1225294Z >>> def commit_tensor(self, read_item, tensor): 2025-12-04T15:06:42.1225465Z >>> self.state_dict[read_item.dest_index.fqn] = tensor 2025-12-04T15:06:42.1225566Z 2025-12-04T15:06:42.1226190Z Original Error: IndentationError('expected an indented block after function definition on line 22', ('', 23, 0, '_._ = None\n', 23, -1)) 2025-12-04T15:06:42.1226309Z 2025-12-04T15:06:42.1226413Z _._ = None 2025-12-04T15:06:42.1226500Z ^ 2025-12-04T15:06:42.1226620Z warnings.warn(msg) 2025-12-04T15:06:42.1226706Z 2025-12-04T15:06:42.1226934Z --- Parse Warning: 15 / 17 --- 2025-12-04T15:06:42.1228057Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/distributed/fsdp/api.py line=295. 2025-12-04T15:06:42.1228370Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.1228458Z 2025-12-04T15:06:42.1228706Z ``FullStateDictConfig`` is a config class meant to be used with 2025-12-04T15:06:42.1228927Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both 2025-12-04T15:06:42.1229173Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state 2025-12-04T15:06:42.1229425Z dicts to save GPU memory and CPU memory, respectively. This config class 2025-12-04T15:06:42.1229645Z is meant to be used via the :func:`state_dict_type` context manager as 2025-12-04T15:06:42.1229751Z follows: 2025-12-04T15:06:42.1229840Z 2025-12-04T15:06:42.1229981Z >>> # xdoctest: +SKIP("undefined variables") 2025-12-04T15:06:42.1230260Z >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP 2025-12-04T15:06:42.1230404Z >>> fsdp = FSDP(model, auto_wrap_policy=...) 2025-12-04T15:06:42.1230628Z >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True) 2025-12-04T15:06:42.1230888Z >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg): 2025-12-04T15:06:42.1231007Z >>> state = fsdp.state_dict() 2025-12-04T15:06:42.1231299Z >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0. 2025-12-04T15:06:42.1231598Z >>> # To reload checkpoint for inference, finetuning, transfer learning, etc: 2025-12-04T15:06:42.1231863Z >>> model = model_fn() # Initialize model in preparation for wrapping with FSDP 2025-12-04T15:06:42.1231987Z >>> if dist.get_rank() == 0: 2025-12-04T15:06:42.1232188Z >>> # Load checkpoint only on rank 0 to avoid memory redundancy 2025-12-04T15:06:42.1232346Z >>> state_dict = torch.load("my_checkpoint.pt") 2025-12-04T15:06:42.1232487Z >>> model.load_state_dict(state_dict) 2025-12-04T15:06:42.1232754Z >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument 2025-12-04T15:06:42.1233032Z >>> # communicates loaded checkpoint states from rank 0 to rest of the world. 2025-12-04T15:06:42.1233133Z >>> fsdp = FSDP( 2025-12-04T15:06:42.1233227Z ... model, 2025-12-04T15:06:42.1233387Z ... device_id=torch.cuda.current_device(), 2025-12-04T15:06:42.1233499Z ... auto_wrap_policy=..., 2025-12-04T15:06:42.1233621Z ... sync_module_states=True, 2025-12-04T15:06:42.1233724Z ... ) 2025-12-04T15:06:42.1233962Z >>> # After this point, all ranks have FSDP model with loaded checkpoint. 2025-12-04T15:06:42.1234058Z 2025-12-04T15:06:42.1234154Z Attributes: 2025-12-04T15:06:42.1234374Z rank0_only (bool): If ``True``, then only rank 0 saves the full state 2025-12-04T15:06:42.1234609Z dict, and nonzero ranks save an empty dict. If ``False``, then all 2025-12-04T15:06:42.1234789Z ranks save the full state dict. (Default: ``False``) 2025-12-04T15:06:42.1234875Z 2025-12-04T15:06:42.1235457Z Original Error: IndentationError("expected an indented block after 'if' statement on line 10", ('', 11, 1, '_._ = None\n', 11, 2)) 2025-12-04T15:06:42.1235544Z 2025-12-04T15:06:42.1235632Z _._ = None 2025-12-04T15:06:42.1235731Z ^ 2025-12-04T15:06:42.1235837Z warnings.warn(msg) 2025-12-04T15:06:42.1235924Z 2025-12-04T15:06:42.1236179Z --- Parse Warning: 16 / 17 --- 2025-12-04T15:06:42.1237310Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=register_parametrization in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/parametrize.py line=437. 2025-12-04T15:06:42.1237603Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.1237772Z Register a parametrization to a tensor in a module. 2025-12-04T15:06:42.1237889Z 2025-12-04T15:06:42.1238217Z Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``, 2025-12-04T15:06:42.1238534Z the module will return the parametrized version ``parametrization(module.weight)``. 2025-12-04T15:06:42.1238845Z If the original tensor requires a gradient, the backward pass will differentiate 2025-12-04T15:06:42.1239177Z through :attr:`parametrization`, and the optimizer will update the tensor accordingly. 2025-12-04T15:06:42.1239267Z 2025-12-04T15:06:42.1239637Z The first time that a module registers a parametrization, this function will add an attribute 2025-12-04T15:06:42.1239914Z ``parametrizations`` to the module of type :class:`~ParametrizationList`. 2025-12-04T15:06:42.1240001Z 2025-12-04T15:06:42.1240298Z The list of parametrizations on the tensor ``weight`` will be accessible under 2025-12-04T15:06:42.1240436Z ``module.parametrizations.weight``. 2025-12-04T15:06:42.1240536Z 2025-12-04T15:06:42.1240687Z The original tensor will be accessible under 2025-12-04T15:06:42.1240849Z ``module.parametrizations.weight.original``. 2025-12-04T15:06:42.1240948Z 2025-12-04T15:06:42.1241250Z Parametrizations may be concatenated by registering several parametrizations 2025-12-04T15:06:42.1241389Z on the same attribute. 2025-12-04T15:06:42.1241488Z 2025-12-04T15:06:42.1241793Z The training mode of a registered parametrization is updated on registration 2025-12-04T15:06:42.1241948Z to match the training mode of the host module 2025-12-04T15:06:42.1242051Z 2025-12-04T15:06:42.1242402Z Parametrized parameters and buffers have an inbuilt caching system that can be activated 2025-12-04T15:06:42.1242541Z using the context manager :func:`cached`. 2025-12-04T15:06:42.1242639Z 2025-12-04T15:06:42.1242912Z A :attr:`parametrization` may optionally implement a method with signature 2025-12-04T15:06:42.1243010Z 2025-12-04T15:06:42.1243133Z .. code-block:: python 2025-12-04T15:06:42.1243219Z 2025-12-04T15:06:42.1243473Z def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]] 2025-12-04T15:06:42.1243559Z 2025-12-04T15:06:42.1243856Z This method is called on the unparametrized tensor when the first parametrization 2025-12-04T15:06:42.1244108Z is registered to compute the initial value of the original tensor. 2025-12-04T15:06:42.1244463Z If this method is not implemented, the original tensor will be just the unparametrized tensor. 2025-12-04T15:06:42.1244574Z 2025-12-04T15:06:42.1244929Z If all the parametrizations registered on a tensor implement `right_inverse` it is possible 2025-12-04T15:06:42.1245257Z to initialize a parametrized tensor by assigning to it, as shown in the example below. 2025-12-04T15:06:42.1245361Z 2025-12-04T15:06:42.1245620Z It is possible for the first parametrization to depend on several inputs. 2025-12-04T15:06:42.1245897Z This may be implemented returning a tuple of tensors from ``right_inverse`` 2025-12-04T15:06:42.1246178Z (see the example implementation of a ``RankOne`` parametrization below). 2025-12-04T15:06:42.1246268Z 2025-12-04T15:06:42.1246653Z In this case, the unconstrained tensors are also located under ``module.parametrizations.weight`` 2025-12-04T15:06:42.1246814Z with names ``original0``, ``original1``,... 2025-12-04T15:06:42.1246936Z 2025-12-04T15:06:42.1247047Z .. note:: 2025-12-04T15:06:42.1247134Z 2025-12-04T15:06:42.1247442Z If unsafe=False (default) both the forward and right_inverse methods will be called 2025-12-04T15:06:42.1247622Z once to perform a number of consistency checks. 2025-12-04T15:06:42.1247929Z If unsafe=True, then right_inverse will be called if the tensor is not parametrized, 2025-12-04T15:06:42.1248092Z and nothing will be called otherwise. 2025-12-04T15:06:42.1248192Z 2025-12-04T15:06:42.1248288Z .. note:: 2025-12-04T15:06:42.1248376Z 2025-12-04T15:06:42.1248621Z In most situations, ``right_inverse`` will be a function such that 2025-12-04T15:06:42.1248752Z ``forward(right_inverse(X)) == X`` (see 2025-12-04T15:06:42.1249099Z `right inverse `_). 2025-12-04T15:06:42.1249386Z Sometimes, when the parametrization is not surjective, it may be reasonable 2025-12-04T15:06:42.1249492Z to relax this. 2025-12-04T15:06:42.1249599Z 2025-12-04T15:06:42.1249696Z .. warning:: 2025-12-04T15:06:42.1249781Z 2025-12-04T15:06:42.1250112Z If a parametrization depends on several inputs, :func:`~register_parametrization` 2025-12-04T15:06:42.1250403Z will register a number of new parameters. If such parametrization is registered 2025-12-04T15:06:42.1250725Z after the optimizer is created, these new parameters will need to be added manually 2025-12-04T15:06:42.1250948Z to the optimizer. See :meth:`torch.Optimizer.add_param_group`. 2025-12-04T15:06:42.1251035Z 2025-12-04T15:06:42.1251240Z Args: 2025-12-04T15:06:42.1251483Z module (nn.Module): module on which to register the parametrization 2025-12-04T15:06:42.1251763Z tensor_name (str): name of the parameter or buffer on which to register 2025-12-04T15:06:42.1251926Z the parametrization 2025-12-04T15:06:42.1252158Z parametrization (nn.Module): the parametrization to register 2025-12-04T15:06:42.1252260Z Keyword args: 2025-12-04T15:06:42.1252516Z unsafe (bool): a boolean flag that denotes whether the parametrization 2025-12-04T15:06:42.1252733Z may change the dtype and shape of the tensor. Default: `False` 2025-12-04T15:06:42.1253047Z Warning: the parametrization is not checked for consistency upon registration. 2025-12-04T15:06:42.1253182Z Enable this flag at your own risk. 2025-12-04T15:06:42.1253272Z 2025-12-04T15:06:42.1253376Z Raises: 2025-12-04T15:06:42.1253703Z ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name` 2025-12-04T15:06:42.1253791Z 2025-12-04T15:06:42.1253896Z Examples: 2025-12-04T15:06:42.1254061Z >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK) 2025-12-04T15:06:42.1254184Z >>> import torch 2025-12-04T15:06:42.1254299Z >>> import torch.nn as nn 2025-12-04T15:06:42.1254448Z >>> import torch.nn.utils.parametrize as P 2025-12-04T15:06:42.1254549Z >>> 2025-12-04T15:06:42.1254670Z >>> class Symmetric(nn.Module): 2025-12-04T15:06:42.1254784Z >>> def forward(self, X): 2025-12-04T15:06:42.1254993Z >>> return X.triu() + X.triu(1).T # Return a symmetric matrix 2025-12-04T15:06:42.1255085Z >>> 2025-12-04T15:06:42.1255210Z >>> def right_inverse(self, A): 2025-12-04T15:06:42.1255333Z >>> return A.triu() 2025-12-04T15:06:42.1255422Z >>> 2025-12-04T15:06:42.1255530Z >>> m = nn.Linear(5, 5) 2025-12-04T15:06:42.1255728Z >>> P.register_parametrization(m, "weight", Symmetric()) 2025-12-04T15:06:42.1256006Z >>> print(torch.allclose(m.weight, m.weight.T)) # m.weight is now symmetric 2025-12-04T15:06:42.1256142Z True 2025-12-04T15:06:42.1256252Z >>> A = torch.rand(5, 5) 2025-12-04T15:06:42.1256374Z >>> A = A + A.T # A is now symmetric 2025-12-04T15:06:42.1256614Z >>> m.weight = A # Initialize the weight to be the symmetric matrix A 2025-12-04T15:06:42.1256748Z >>> print(torch.allclose(m.weight, A)) 2025-12-04T15:06:42.1256841Z True 2025-12-04T15:06:42.1256943Z 2025-12-04T15:06:42.1257062Z >>> class RankOne(nn.Module): 2025-12-04T15:06:42.1257218Z >>> def forward(self, x, y): 2025-12-04T15:06:42.1257387Z >>> # Form a rank 1 matrix multiplying two vectors 2025-12-04T15:06:42.1257534Z >>> return x.unsqueeze(-1) @ y.unsqueeze(-2) 2025-12-04T15:06:42.1257640Z >>> 2025-12-04T15:06:42.1257766Z >>> def right_inverse(self, Z): 2025-12-04T15:06:42.1257903Z >>> # Project Z onto the rank 1 matrices 2025-12-04T15:06:42.1258088Z >>> U, S, Vh = torch.linalg.svd(Z, full_matrices=False) 2025-12-04T15:06:42.1258221Z >>> # Return rescaled singular vectors 2025-12-04T15:06:42.1258353Z >>> s0_sqrt = S[0].sqrt().unsqueeze(-1) 2025-12-04T15:06:42.1258530Z >>> return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt 2025-12-04T15:06:42.1258620Z >>> 2025-12-04T15:06:42.1258797Z >>> linear_rank_one = P.register_parametrization( 2025-12-04T15:06:42.1258936Z ... nn.Linear(4, 4), "weight", RankOne() 2025-12-04T15:06:42.1259027Z ... ) 2025-12-04T15:06:42.1259266Z >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item()) 2025-12-04T15:06:42.1259355Z 1 2025-12-04T15:06:42.1259443Z 2025-12-04T15:06:42.1259544Z 2025-12-04T15:06:42.1260230Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('', 3, 0, '_._ = None\n', 3, -1)) 2025-12-04T15:06:42.1260321Z 2025-12-04T15:06:42.1260429Z _._ = None 2025-12-04T15:06:42.1260518Z ^ 2025-12-04T15:06:42.1260626Z warnings.warn(msg) 2025-12-04T15:06:42.1260730Z 2025-12-04T15:06:42.1260963Z --- Parse Warning: 17 / 17 --- 2025-12-04T15:06:42.1262066Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/xdoctest/core.py:416: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/optim/lr_scheduler.py line=1586. 2025-12-04T15:06:42.1262352Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups') 2025-12-04T15:06:42.1262558Z Reduce learning rate when a metric has stopped improving. 2025-12-04T15:06:42.1262663Z 2025-12-04T15:06:42.1262892Z Models often benefit from reducing the learning rate by a factor 2025-12-04T15:06:42.1263104Z of 2-10 once learning stagnates. This scheduler reads a metrics 2025-12-04T15:06:42.1263340Z quantity and if no improvement is seen for a 'patience' number 2025-12-04T15:06:42.1263483Z of epochs, the learning rate is reduced. 2025-12-04T15:06:42.1263584Z 2025-12-04T15:06:42.1263675Z Args: 2025-12-04T15:06:42.1263853Z optimizer (Optimizer): Wrapped optimizer. 2025-12-04T15:06:42.1264128Z mode (str): One of `min`, `max`. In `min` mode, lr will 2025-12-04T15:06:42.1264330Z be reduced when the quantity monitored has stopped 2025-12-04T15:06:42.1264519Z decreasing; in `max` mode it will be reduced when the 2025-12-04T15:06:42.1264750Z quantity monitored has stopped increasing. Default: 'min'. 2025-12-04T15:06:42.1264942Z factor (float): Factor by which the learning rate will be 2025-12-04T15:06:42.1265109Z reduced. new_lr = lr * factor. Default: 0.1. 2025-12-04T15:06:42.1265357Z patience (int): The number of allowed epochs with no improvement after 2025-12-04T15:06:42.1265500Z which the learning rate will be reduced. 2025-12-04T15:06:42.1265818Z For example, consider the case of having no patience (`patience = 0`). 2025-12-04T15:06:42.1266233Z In the first epoch, a baseline is established and is always considered good as there's no previous baseline. 2025-12-04T15:06:42.1266467Z In the second epoch, if the performance is worse than the baseline, 2025-12-04T15:06:42.1266646Z we have what is considered an intolerable epoch. 2025-12-04T15:06:42.1266997Z Since the count of intolerable epochs (1) is greater than the patience level (0), 2025-12-04T15:06:42.1267198Z the learning rate is reduced at the end of this epoch. 2025-12-04T15:06:42.1267566Z From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch 2025-12-04T15:06:42.1267934Z if the performance is worse than the baseline. If the performance improves or remains the same, 2025-12-04T15:06:42.1268084Z the learning rate is not adjusted. 2025-12-04T15:06:42.1268190Z Default: 10. 2025-12-04T15:06:42.1268405Z threshold (float): Threshold for measuring the new optimum, 2025-12-04T15:06:42.1268597Z to only focus on significant changes. Default: 1e-4. 2025-12-04T15:06:42.1268788Z threshold_mode (str): One of `rel`, `abs`. In `rel` mode, 2025-12-04T15:06:42.1268980Z dynamic_threshold = best * ( 1 + threshold ) in 'max' 2025-12-04T15:06:42.1269140Z mode or best * ( 1 - threshold ) in `min` mode. 2025-12-04T15:06:42.1269313Z In `abs` mode, dynamic_threshold = best + threshold in 2025-12-04T15:06:42.1269526Z `max` mode or best - threshold in `min` mode. Default: 'rel'. 2025-12-04T15:06:42.1269747Z cooldown (int): Number of epochs to wait before resuming 2025-12-04T15:06:42.1269974Z normal operation after lr has been reduced. Default: 0. 2025-12-04T15:06:42.1270168Z min_lr (float or list): A scalar or a list of scalars. A 2025-12-04T15:06:42.1270344Z lower bound on the learning rate of all param groups 2025-12-04T15:06:42.1270502Z or each group respectively. Default: 0. 2025-12-04T15:06:42.1270697Z eps (float): Minimal decay applied to lr. If the difference 2025-12-04T15:06:42.1270896Z between new and old lr is smaller than eps, the update is 2025-12-04T15:06:42.1271027Z ignored. Default: 1e-8. 2025-12-04T15:06:42.1271116Z 2025-12-04T15:06:42.1271210Z Example: 2025-12-04T15:06:42.1271332Z >>> # xdoctest: +SKIP 2025-12-04T15:06:42.1271589Z >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) 2025-12-04T15:06:42.1271774Z >>> scheduler = ReduceLROnPlateau(optimizer, "min") 2025-12-04T15:06:42.1271889Z >>> for epoch in range(10): 2025-12-04T15:06:42.1271994Z >>> train(...) 2025-12-04T15:06:42.1272128Z >>> val_loss = validate(...) 2025-12-04T15:06:42.1272297Z >>> # Note that step should be called after validate() 2025-12-04T15:06:42.1272421Z >>> scheduler.step(val_loss) 2025-12-04T15:06:42.1272521Z 2025-12-04T15:06:42.1272738Z .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png 2025-12-04T15:06:42.1272828Z 2025-12-04T15:06:42.1273314Z Original Error: IndentationError('unexpected indent', ('', 8, 4, ' scheduler.step(val_loss)\n', 8, -1)) 2025-12-04T15:06:42.1273405Z 2025-12-04T15:06:42.1273535Z scheduler.step(val_loss) 2025-12-04T15:06:42.1273624Z ^ 2025-12-04T15:06:42.1273730Z warnings.warn(msg) 2025-12-04T15:06:42.1273832Z 2025-12-04T15:06:42.1273971Z  2025-12-04T15:06:42.1274173Z === Found 10 run-time warnings === 2025-12-04T15:06:42.1274385Z --- Runtime Warning: 1 / 10 --- 2025-12-04T15:06:42.1274642Z example = 2025-12-04T15:06:42.1276458Z :3: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() 2025-12-04T15:06:42.1276587Z 2025-12-04T15:06:42.1276795Z --- Runtime Warning: 2 / 10 --- 2025-12-04T15:06:42.1277107Z example = 2025-12-04T15:06:42.1278677Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py:1392: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1973.) 2025-12-04T15:06:42.1278821Z return super().refine_names(names) 2025-12-04T15:06:42.1278909Z 2025-12-04T15:06:42.1279107Z --- Runtime Warning: 3 / 10 --- 2025-12-04T15:06:42.1279470Z example = 2025-12-04T15:06:42.1280200Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/library.py:275: UserWarning: Warning only once for all operators, other operators may also be overridden. 2025-12-04T15:06:42.1280568Z Overriding a previously registered kernel for the same operator and the same dispatch key 2025-12-04T15:06:42.1280794Z operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor 2025-12-04T15:06:42.1281133Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2025-12-04T15:06:42.1281286Z dispatch key: CPU 2025-12-04T15:06:42.1281852Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079 2025-12-04T15:06:42.1283019Z new kernel: registered at :1 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:208.) 2025-12-04T15:06:42.1283195Z impl_fn(self.ns, name.split("::")[-1], dispatch_key) 2025-12-04T15:06:42.1283288Z 2025-12-04T15:06:42.1283504Z --- Runtime Warning: 4 / 10 --- 2025-12-04T15:06:42.1283773Z example = 2025-12-04T15:06:42.1285942Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:178.) 2025-12-04T15:06:42.1286226Z return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None) 2025-12-04T15:06:42.1286317Z 2025-12-04T15:06:42.1286532Z --- Runtime Warning: 5 / 10 --- 2025-12-04T15:06:42.1286819Z example = 2025-12-04T15:06:42.1288727Z :1: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:53.) 2025-12-04T15:06:42.1288822Z 2025-12-04T15:06:42.1289027Z --- Runtime Warning: 6 / 10 --- 2025-12-04T15:06:42.1289426Z example = 2025-12-04T15:06:42.1291277Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/experimental/const_fold.py:314: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer 2025-12-04T15:06:42.1291517Z new_node = root_const_gm.graph.get_attr(in_node.target) 2025-12-04T15:06:42.1291606Z 2025-12-04T15:06:42.1291812Z --- Runtime Warning: 7 / 10 --- 2025-12-04T15:06:42.1292153Z example = 2025-12-04T15:06:42.1293423Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/transformer.py:144: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-12-04T15:06:42.1293574Z self.encoder = TransformerEncoder( 2025-12-04T15:06:42.1293665Z 2025-12-04T15:06:42.1293863Z --- Runtime Warning: 8 / 10 --- 2025-12-04T15:06:42.1294255Z example = 2025-12-04T15:06:42.1295666Z :2: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance) 2025-12-04T15:06:42.1295773Z 2025-12-04T15:06:42.1295972Z --- Runtime Warning: 9 / 10 --- 2025-12-04T15:06:42.1296342Z example = 2025-12-04T15:06:42.1297302Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T15:06:42.1297436Z WeightNorm.apply(module, name, dim) 2025-12-04T15:06:42.1297540Z 2025-12-04T15:06:42.1297745Z --- Runtime Warning: 10 / 10 --- 2025-12-04T15:06:42.1298091Z example = 2025-12-04T15:06:42.1299041Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. 2025-12-04T15:06:42.1299175Z WeightNorm.apply(module, name, dim) 2025-12-04T15:06:42.1299284Z 2025-12-04T15:06:42.1299638Z === 378 passed, 516 skipped, 27 warnings in 21.53 seconds === 2025-12-04T15:06:42.1299907Z Finished doctests 1/1 ... [2025-12-04 15:06:42.076945][20037.826481261], took 0.36min 2025-12-04T15:06:42.1300262Z Running dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 15:06:42.104379][20037.85392355] 2025-12-04T15:06:42.1300388Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T15:06:42.1301398Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 15:06:42.104804] 2025-12-04T16:31:44.2957480Z 2025-12-04T16:31:44.2958881Z PRINTING LOG FILE of dynamo/test_dynamic_shapes 1/1 (test/test-reports/dynamo.test_dynamic_shapes_1.1_78104ffcd01d4add_.log) 2025-12-04T16:31:44.2960447Z Test results will be stored in test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-0e8ef72f00192ba7.xml 2025-12-04T16:31:44.2961859Z ============================= test session starts ============================== 2025-12-04T16:31:44.2964726Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T16:31:44.2965783Z cachedir: .pytest_cache 2025-12-04T16:31:44.2967045Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T16:31:44.2968359Z rootdir: /var/lib/jenkins/workspace 2025-12-04T16:31:44.2968964Z configfile: pytest.ini 2025-12-04T16:31:44.2970547Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T16:31:44.2972156Z collecting ... collected 1977 items 2025-12-04T16:31:44.2972885Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T16:31:44.4117292Z Running 1977 items in this shard: test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_311_resume_block_keyerror2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_311_resume_block_keyerror_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_arguments_binding_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_inner_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_decorator_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_device_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_float64_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_graph_break_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_sdpa_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autograd_profiler_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autograd_profiler_enabled_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_grad_mode_decorator_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_grad_mode_nested_function_decorator_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_set_grad_enabled_nested_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_amp_autocast_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_device_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_across_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_created_outside_of_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_method_create_stream_outside_of_compile_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_across_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_compared_with_constant_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_compared_with_stream_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_context_manager1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_context_manager2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_prev_disabled_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_prev_disabled_nested_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_CustomizedCtxManager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_customized_ctx_manager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_with_graph_break_CustomizedCtxManager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_with_graph_break_customized_ctx_manager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_ctx_manager_with_graph_break_CustomizedCtxManagerWithGraphBreak_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_ctx_manager_with_graph_break_customized_ctx_manager_with_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_grad_mode_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_graph_break_inlining_autocast_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_graph_break_inlining_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_nullctx2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_nullctx_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_stack2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_stack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_is_autocast_cpu_enabled_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_CustomizedCtxManager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_customized_ctx_manager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_with_graph_break_CustomizedCtxManager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_with_graph_break_customized_ctx_manager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_grad_mode_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_no_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_return_context_manager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_return_context_manager_with_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_as_decorator_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_set_priority_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_store_attr_graph_break_key_error_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_torch_profiler_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_torch_profiler_use_after_with_block_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_T_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_add__dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_add_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcdiv__dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcdiv_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcmul__dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_are_functorch_transforms_active_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_attrgetter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_broadcast_foreach_pow_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_build_list_unpack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_builtin_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_class_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_lambda_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_torch_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_chunks1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_class_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_eq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_is_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_compare_constant_and_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_complex_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_const_tuple_add1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_const_tuple_add2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant_set_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_context_wrapping_nested_functions_no_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cublas_allow_tf32_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_custom_dict_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_constr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_lambda_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_set_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_tuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_del_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_deque_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_device_constant_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_device_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_copy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_fromkeys_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_id_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_items_sorted_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_keys_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_mutable_map_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_ops_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_param_keys_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_sorted_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_tuple_lazy_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_update_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_update_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_values_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_distributed_is_available_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_distributed_is_initialized_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dtype_compare_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_elipsis_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_custom_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_fallback_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_graph_break_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_infinite_iterator_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_with_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_finfo_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_flat_param_same_storage_size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_float_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fn_with_self_set_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_foreach_lerp__dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings6_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_funcdef_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_cache_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_partial_binding_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_partial_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_subclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_user_methods_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_autocast_gpu_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_calculate_correct_fan_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_default_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_device_properties_tensor_device_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_privateuse1_name_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_getattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_getattr_metaclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalfn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalmodule_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalvar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_import1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_in_not_in_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_index_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indexed_range_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_jit__unwrap_optional_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_jit_annotations_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_lru_cache_fn_with_default_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_script_if_tracing_fn_with_default_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_softmax_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_with_default_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inner_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_any_autocast_enabled_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_checkpoint_valid_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_complex_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_contiguous_frame_counts_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_contiguous_memory_format_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_floating_point_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_fx_tracing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_in_onnx_export_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_inference_mode_global_recompilation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_inference_recompilation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_integer_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_not_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_not_null_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_quantized_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_sparse_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_isinstance_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_islice_chain_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itemgetter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_chain_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_chain_from_iterable_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_combinations_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_compress_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_compress_tensors_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_filterfalse_basic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_pairwise_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_basic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_various_iterators_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_various_iterators_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_jit_annotate_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_misc_iterables_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_add_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_add_then_mutate_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_clear_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_compare_polyfill_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_compare_polyfill_non_lists_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_convert_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_expand_lhs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_index_with_constant_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_reversed_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_setitem_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_setitem_slice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_slice_assignment_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_slice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_sorted1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_sorted2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_truth_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_load_global_bool_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_lru_cache_warning_issued_during_tracing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_mT_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_manual_seed_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_call_function_ex_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_deque_extendleft_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_dict_fromkeys_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_enumerate_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_infinite_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_extend_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_slice_assign_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_max_const_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_max_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_partial_unpack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_reduce_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_return_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_set_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_sorted_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_str_join_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_sum_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_tuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_unpack_twice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_unpack_vars_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_with_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_zip_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_match_mapping_and_match_keys_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_match_sequence_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_math_fma_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_math_radians_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_mean_sum_np_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcaller_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_min_max_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_module_constant_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_defaults_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_fields_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_replace_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_subclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_user_methods_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_builtin_functions_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_methods_returning_scalar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_reshape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_transpose_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndim_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_no_recompile_inner_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_no_recompile_inner_lambda_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_non_inlined_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_not_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_as_input_int_or_float_float_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_as_input_int_or_float_int_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_guards_float_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_guards_int_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_finfo_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_iinfo_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_as_integer_ratio_num_type0_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_as_integer_ratio_num_type3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_bit_length_num_type1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_conjugate_num_type2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_conjugate_num_type4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_hex_num_type5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_is_integer_num_type6_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_attributes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_dtype_argument_to_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_dtype_call_in_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_fft_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_linalg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_meshgrid_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_random_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_obj_eq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_obj_is_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ordered_dict_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partial_across_graph_break_uninvoked_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_UDF_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_partials_lambda_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_partials_mod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_args_and_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_mix_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_mix_no_source_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___annotations___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___builtins___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___call___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___class___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___closure___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___code___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___defaults___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___delattr___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___dict___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___dir___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___doc___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___eq___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___format___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___ge___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___get___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___getattribute___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___globals___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___gt___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___hash___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___init___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___init_subclass___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___kwdefaults___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___le___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___lt___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___module___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___name___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___ne___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___new___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___qualname___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___reduce___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___reduce_ex___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___repr___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___setattr___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___sizeof___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___str___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___subclasshook___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_func_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_keywords_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_set_attr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_lambda_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_recompilation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_torch_op_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_torch_op_kwarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pop_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pos_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pos_only_args_with_same_name_in_star_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pow_int_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_promote_types_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_rand_inlined_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_rand_tensor_partial_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_graph_break_2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_length_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_with_index_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_with_slice_index_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_initial_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_none_initial_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_single_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_single_with_initial_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_dict2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_multiple_numpy_ndarray_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_numpy_ndarray_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_tuple1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_tuple2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_returning_recursive_func_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_round_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_add_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_in_frozenset_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_keys_view_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_update_bytecode_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_update_list_with_duplicated_items_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_shape1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_shape2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_size_tuple_add_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice6_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice_eq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sliced_range_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sorted_const_key_non_const_items_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sourceless_build_method_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_startswith_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_with_start_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_with_start_kwarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_with_start_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_with_start_kwarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_symbool_to_int_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_dim_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_element_size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_is_complex_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_len_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_new_with_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_new_with_size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_size_indexed_by_symint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_to_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_distributions_functions_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_from_numpy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_get_device_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_size_as_dict_key_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_size_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_source_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_transpose_for_scores_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_truth_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_contains_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_iadd_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_map_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_sorted_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_two_point_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unary_fold_op_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unary_fold_op_seq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_mutable_map_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unsqueeze_inplace_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_viamethod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_viatorch_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_zip_longest_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_zip_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_312_binary_slice_with_graph_break1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_312_binary_slice_with_graph_break2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_RAISE_VARARGS_0_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_T_tensor_attribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_add_sizes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_add_to_set_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_anomaly_aot_autograd_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_any_all_symnode_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_aot_autograd_propagate_unbacked_symints_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_arange_length_with_float32_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_argwhere_with_dynamic_shapes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assert_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assert_size_stride_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assigning_function_to_class_attribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assigning_function_to_object_attribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assume_32_bit_indexing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backend_match_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backend_match_guard_multi_threads_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backward_deterministic_mode_mismatch_warning_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_boolarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_bound_shape_checks_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_build_tuple_unpack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builder_for_class_with_metaclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_abs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symbool_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symfloat_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_complex_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_complex_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_isinstance_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_str_on_user_defined_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_subclasses_as_method_on_class_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_subclasses_as_method_on_var_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_call_parent_non_class_methods_from_child_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_callpacked_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cannot_trace_mark_dynamic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cannot_trace_mark_dynamic_safe_unreached_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cast_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cat_unbacked_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_catch_watchings1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_catch_watchings2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_captured_by_existing_func_but_not_root_frame_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_output1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_output2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_assert_error_at_runtime_when_predicate_false_and_message_has_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_assert_error_at_runtime_when_predicate_true_and_message_has_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_None_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_has_global_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_has_no_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_constant_and_message_None_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_constant_and_message_has_no_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_None_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_has_global_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_has_no_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_constant_and_message_None_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_constant_and_message_has_no_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_simplification_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_binop_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_duner_flags_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_duner_mro_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_has_instancecheck_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_clone_sparse_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_with_cond_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_with_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_recompiles_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_with_mutation_and_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_write_across_functions_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_eq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_neq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_tuple_eq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_tuple_neq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_with_constant_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_tensor_with_none_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compilation_metrics_size_limit_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compiled_class_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_export_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_export_single_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_nested_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_runtime_assert_generation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_side_effects_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_with_quantization_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_conditional_list_comp_in_context_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_config_getattr_default_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_config_obj_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_const_dict_variable_python_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_constant_getattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_constant_hasattr_returns_bool_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_fancy_ctor1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_fancy_ctor2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_simple_ctor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_custom_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_custom_module_free_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_access_in_inference_mode_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_ptr_graph_break_aten_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_ptr_graph_break_builtin_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_fields_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_local_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_default_args_device_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_default_dtype_change_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_defaultdict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deque_append_left_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deque_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_derpy_nn_module_usage_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_descriptor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_descriptor_side_effect_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deterministic_algorithms_mutated_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dictcomp_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dim_order_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_disable_flag_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dtypes_no_graphbreaks_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_methods_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_weakref_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_duplicate_graph_break_log_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_one_hot_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_shapes_as_strided_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_dynamic_override_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_dynamic_override_regex_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_force_parameter_static_shapes_and_property_static_shapes_override_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_int_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_precedence_over_int_specialization_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_cache_invalidate_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_cache_move_to_front_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_compiling_fake_tensor_to_vararg_int_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_disabled_in_custom_op_kernels_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_inside_custom_op_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_min_operator_with_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_reset_clears_cache_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_empty_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_as_dict_key_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_as_dict_key_with_overloaded_str_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_guards_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_no_graphbreaks_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_subclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_error_on_nested_fx_trace_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_error_on_recompile_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_escaping_closure_var_with_backward_hook_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_escaping_closure_var_with_nonlocal_var_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_existing_func_that_creates_capturing_nested_func_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fail_on_recompile_error_message_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_flat_name_to_original_fqn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_float_speculation_log_divergence_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fold_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_free_var_and_local_name_collision_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_attr_access_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_default_factory_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_default_value_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_hashable_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_kw_only_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozenset_of_non_literals_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozenset_torch_func_contains_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fullgraph_capture_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_funcname_cache_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_function_annotation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_function_generic_alias_annotation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_generate_tensor_from_list_of_numpy_primitive_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_generate_trivial_abstract_impl_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_attr_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_cache_entry_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_custom_tensor_attribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_instruction_source_311_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getattr_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getattrvariable_as_python_constant_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getset_descriptor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_global_state_guard_serialization_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_non_none_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_none_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_state_mutated_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_compilation_metrics_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_compilation_metrics_on_failure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_correctly_when_passing_numpy_ndarray_to_torch_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_shape_control_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_tensor_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_id_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_is_global_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_name_and_value_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_globals_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_inbuilt_nn_modules_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_nn_modules_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_tensors_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_function_builder_with_cse_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_size_oblivious_backed_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_string_escaped_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_sym_node_fstring_when_used_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_cse_pass_multiple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_cse_pass_single_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_strip_function_call_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hasattr_nn_module_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hash_getitem_slice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hash_hop_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_class_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_object_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_of_nn_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_infer_unbacked_size_gt_zero_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inference_mode_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inference_mode_param_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_closure_not_loaded_by_parent_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_closure_returned_by_another_function_and_captures_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_function_passed_as_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_func_jump_on_tensor_condition_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_list_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_local_dict_clear_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_module_attr_dict_clear_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_user_defined_dict_attr_clear_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_desugaring_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_param_update_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_view_on_graph_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_input_cell_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_bind_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_bind_non_user_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_parameters_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_int_comparisons_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_neg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_binops_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_comparisons_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_inplace_binops_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_intermediary_tensor_grad_access_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_invalid_args_builtin_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_compiling_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_floating_point2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_floating_point_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_like2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_like_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_changes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_changes_new_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iter_set_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iter_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iterator_limit_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_symint_default_sum_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_builtins_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_default_sum_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_user_defined_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_groupby_pure_python_default_identify_func_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_groupby_pure_python_key_func_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_count_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_cycle_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_repeat_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_repeat_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_default_end_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_default_step_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_repeat_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_tee_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_jacfwd_one_hot_dynamic_compile_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_large_reduction_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_linear_module_free_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_append_return_none_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_class_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_hasattr1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_hasattr2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iadd_side_effect_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iadd_with_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iterator_contains_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_mul_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_slice_mul_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_listcomp_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_load_fast_and_clear_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mandelbrot_numpy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_map_side_effects_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_map_with_quantization_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_dynamic_with_ranges_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_static_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_unbacked_strict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_matmul1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_min_max_over_iterable_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_complex_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_deepcopy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_not_callable_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mro_type_tensor_no_source_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_multiple_inheritance_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mutable_mapping_multiple_inheritance_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_named_parameters_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_class_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_source_dynamic_attributes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_sourceless_dynamic_attributes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_with_custom_getitem_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nan_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_eq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_graphbreak_eq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_ne_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_closure_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_dataclass_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_frozen_dataclass_hashable_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_function_resuming_with_correct_globals_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_decorator_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_run_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_with_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_with_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_with_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_wraps_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nesteduserfunction_setattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_new_with_int_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_newly_constructed_tensor_attr_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_functional_reduction_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_module_getattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_module_getattribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_sequential_invocation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_sequential_invocation_reposition_indices_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_error_on_nested_fx_trace_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_guard_for_unused_sym_node_fstring_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_raise_guard_partial_constraint_across_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_raise_guard_partial_constraint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_non_pt2_compliant_ops_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_not_dynamic_scope_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numel_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_array_of_arrays_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_as_global_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_fallback_on_eager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_force_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_gt_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_int_constant_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_min_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_graph_break_with_multiple_outputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_works_with_builtin_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_no_raise_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_non_torch_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_random_config_to_numpy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_readonly_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_recompilation_scalar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_size_attr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_subdtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_take_along_axis_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_tolist_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_torch_operators_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ufunc_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ufunc_out_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_unique_f16_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_variable_isinstance_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_with_builtin_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_classmethod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_setattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_staticmethod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_onnx_shape_as_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_optimize_on_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ordered_dict_alias_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ordered_dict_move_to_end_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_os_environ_get_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_os_environ_set_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variant_custom_op_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_with_dynamic1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_with_dynamic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_outside_linear_module_free_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_overridden_getattribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_packaging_version_parse_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pair_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_param_shape_binops_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_parameter_free_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_patched_builtin_functions_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pep0479_convert_stopiteration_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entries_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entry_hit_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entry_miss_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_fail_on_recompile_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_proxy_frozen_dataclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pt2_compliant_ops_are_allowed_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pt2_compliant_overload_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pure_python_accumulate_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_py_guards_mark_dynamic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_python_slice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_full_constraint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_indirect_full_constraint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_partial_constraint_across_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_partial_constraint_no_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_on_backend_error_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_importerror1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_importerror2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range___iter___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_iter_guards_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_iter_side_effects_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_with_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_real_imag_tensor_attribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_message_on_parameter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_disable_1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_disable_2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_global_state_change_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_reconstruct_frozen_dataclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_reconstruct_set_across_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursion_depth_guards_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursive_inline_list_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursive_tensor_attribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_input_memory_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_module_memory_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_scope_memory_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_remove_set_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repeat_interleave_graphbreaks_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_config_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_input_mut_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_model_attr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repro_graph_breaks_in__get_item_by_idx_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_restore_graphstate_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_return_dict_with_graph_break_and_update_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_return_nested_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_returning_func_with_captured_func_and_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_returning_nested_func_with_captured_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_running_func_with_captured_func_and_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_running_nested_func_with_captured_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_runtime_assert_replacement_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sample_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_device_movement_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_int_list_argument_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_symint_argument_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_symint_list_argument_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sequential_module_free_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_aliasing_recompiles_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_custom_tensor_attribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_descriptor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_discard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_update_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_and_tuple_equality_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_constructor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_create_symbolic_sizes_strides_storage_offset_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_empty_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_divisible_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_refinement_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_replacement_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_runtime_assert_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_unbacked_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_no_recording_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_recorded_function_fallback_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_int_comparisons_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_int_inplace_binops_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_unpack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_side_effects_codegen_update_mutated_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_simple_set_usage_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_size_dim_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_size_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_slice_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_source_non_input_grad_access_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sourceless_namedtuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sparse_output_inductor_should_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_storage_return_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str___iter___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_assert1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_assert2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_return1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_return2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_stride_dim_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_structseq1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_structseq2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_super_after_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_super_calling_with_metaclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sym_and_terms_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sym_constrain_range_on_replaced_unbacked_symbol_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_as_device_kwarg_multi_gpu_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_as_device_kwarg_non_strict_export_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_copy_into_unbacked_slice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_fold_nontrivial_product_modulo_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sys_modules_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tagging_tensors_mix_used_unused_structure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tagging_tensors_simple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor__iter___dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_build_list_unpack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_ctor_list_of_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_data_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dot_grad_no_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dynamic_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_interacts_with_numpy_ndarray_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_is_contiguous_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_item_capture_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_item_no_capture_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_layout_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_setattr_getset_descriptor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_types_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_thread_local_setattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_0d_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_1d_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_float_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_kd_dynamic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_kd_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_scalar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_top_package_import_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_nonnegative_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_symbolic_shape_rel_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_compile_ctx_on_forward_and_training_step_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_distributions_lazy_property_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_dtype_python_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_dynamo_codegen_pow_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_generator_set_state_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_guards_stack_frame_register_inlining_deep_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_guards_stack_frame_register_inlining_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_nn_parameter_isinstance_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_objects_as_keys_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_package_working_with_trace_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_seed_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_numel_dynamic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_numel_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_variable_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_trace_ndarray_frame_2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_trace_ndarray_frame_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tracing_nested_py_tree_mixed_all_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_class_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_from_tuple_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_iadd_with_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_mul_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_mul_with_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tying_union_new_syntax_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_type_copy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_typevar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_union_and_optional_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_union_new_syntax_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_variable_isinstance_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_2d_expand_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_empty_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_repeat_cat_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_sources_scalar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_sources_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_strict_mode_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_symint_split_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unhandled_exception_in_dynamo2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unhandled_exception_in_dynamo_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unique_consecutive_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack_tensor_shape_mismatch_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_update_locals_and_stack_uses_shared_cache_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_code_statically_known_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_binop_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_class_name_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_class_python_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_object_class_interaction_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_setattr1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_setattr2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_enum_argument_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_function_argument_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_type_abcmeta_argument_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattr1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattr2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_property_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_usr_cls_classmethod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_usr_cls_staticmethod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_validate_outputs_unbacked_by_custom_op_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_validate_outputs_unbacked_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_variable_access_in_exception_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_variable_tracker_recursively_contains_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_version_ci_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_with_builtin_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_write_to_cells_with_name_shadowing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_write_to_closures_in_inlining_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_writes_to_cells_across_frames1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_writes_to_cells_across_frames2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_in_a_loop_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_user_stop_iteration_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_gen_and_from_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_send_to_subgenerator_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_312_local_cell_overlap_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_Size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_abc_setattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_add_complex_conj_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_add_sub_alpha_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_addr_alpha_beta_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_amp_foreach_fake_impl_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_aot_autograd_runtime_wrapper_prologue_profiled_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_as_strided_on_base_with_mutation_works_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_as_strided_on_existing_view_banned_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_attached_attribute_in_dir_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_autograd_function_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_avoid_dupe_specialization_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batch_encoding_clone_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batch_norm_act_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batchnorm_e2e_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bigbird_unsqueeze_inplace_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bitwise_op_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bitwise_print_precedence_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_boxes_len_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_build_map_unpack_with_call_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_c_defined_metaclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_cells_unsupported_step_exception_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_changing_stride_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_chunk_reformer_ff_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_class_member_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_classmethod_with_slots_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_clone_not_memory_dense_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compilation_metrics_on_error_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compile_complex_conj_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compile_copy__int_overload_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compiled_module_truthiness_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_const_dict_keyerror_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_contains_range_constprop_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_convert_boxes_to_pooler_format_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_copy_weird_strides_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_create_rand_mask_from_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dalle2_maybe_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_data_attr_mutation_after_saved_for_bw_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dataclass_in_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dataclass_init_with_default_factory_with_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ddp_checkpoint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dedup_global_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_deferred_runtime_asserts_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_raises_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_return_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delete_local_error_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_deleted_compile_wrapper_segfault_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delsubscr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delsubscr_raises_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_detectron2_instances_cat_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_disabling_unpack_hooks_within_compiled_region_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_distributions_subclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_do_paste_mask_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dont_aggressively_write_assert_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dont_dce_rand_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dropout_inline_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shape_disable_duck_size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_double_not_equal_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_float_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_implicit_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_right_side_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_default_lru_cache_behavior_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_disable_lru_cache_behavior_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_set_recursion_limit_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_set_recursion_limit_usage_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ellipsis_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_embedding_backward_broadcasting_decomp_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_graph_nested_calls_fullgraph_False_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_graph_nested_calls_fullgraph_True_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_list_contains_with_jump_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_out_dynamic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_enum_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ephemeral_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_error_return_without_exception_set_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exception_in_dynamo_handling_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exec_import_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exec_wildcard_import_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_export_vs_dynamo_for_multiheadattention_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_flip_bad_accuracy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_for_loop_graph_break_before_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_for_loop_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_foreach_decomp_arg_names_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_fsdp_set_input_mutation_applied_when_input_gets_no_gradients_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_function_in_skipfiles_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_functools_wraps_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_gan_repro_trying_to_backward_through_the_graph_a_second_time_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_generator_dealloc_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_get_parameter_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_get_type_hints_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_global_fn_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_mode_carrying_correct_state_after_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_references_cleared_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_on_jit_isinstance_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_on_jit_isinstance_pep585_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_unsupported_fake_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_default_device_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_fail_nested_tuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_fail_tensor_bool_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_ordering_shape_fail_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_same_frame_fail_message_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_with_tuple_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hasattr_builtin_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_bigbird_unsqueeze_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_classinstantier_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_gelu_inline_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_model_output_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_t5_forward_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_xsoftmax_inference_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_xsoftmax_training_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_iadd_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_incompatible_configs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_indexing_with_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_dynamic_shapes_broadcasting_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_no_recursionerror_on_for_loops_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_rng_default_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inference_mode_dynamic_shapes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inlining_cornercase_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inplace_unsqueeze_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_int_format_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_intermediate_leaf_requires_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_invalid_seq_unpack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_is_make_fx_tracing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_is_symbolic_tracing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_isinstance_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_isinstance_storage_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue111522_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue111918_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue114171_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue126128_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue134451_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue1466_size_aot_autograd_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue164247_backend_eager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue164247_backend_inductor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue175_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_jit_script_defaults_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_jit_trace_errors_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_kwargs_out_list_variable_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_aliasing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_not_found_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_tensor_unsupported_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_reverse_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_self_reference_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_listcomp_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_longformer_chunk_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_longtensor_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_lru_cache_tracing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maml_item_capture_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maml_no_item_capture_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_many_overlapping_inputs_does_not_explode_guards_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_many_views_with_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_map_with_multiple_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maybe_multiply_symint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_mem_leak_guards_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_merge_criteria_processor_list1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_merge_criteria_processor_list2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_method_overriding_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_module_in_skipfiles_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_modules_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_multi_dot_import_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_multi_import_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_named_buffers_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nanmean_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_negative_floor_div_solve_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_negative_shape_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nested_while_loop_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_callable_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_property_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_stack_bc_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_param_freevar_codegen_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parameter_ctor_graph_breaks_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parameter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parametrize_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_grad_inline_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_tracing_into_eval_frame_ctx_manager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_tracing_into_eval_frame_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nonconst_issubclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_not_rewrite_assert_for_other_errors_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nullcontext1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nullcontext2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_numpy_not_ndarray_recompiles_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_numpy_tobytes_no_error_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_odict_get_item_index_name_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_dictconfig_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_listconfig_contains_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_listconfig_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ones_out_dynamic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optim_state_references_cleared_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_deepcopy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_module_patched_init_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_module_training_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_os_fspath_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_nested_cell_shape_change_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_nested_cell_tuple_shape_change_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_none_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_overload_non_contiguous_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_root_cell_shape_change_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_root_cell_tuple_shape_change_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_output_aliases_intermediate_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_overlapping_inputs_with_dynamic_shapes_error_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_overwriting_params_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partially_initialized_module_property_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partitioner_activation_memory_budget_with_unbacked_symints_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partitioner_cse_respects_mutation_boundaries_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_pointless_graph_removal_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_preserve_stride_with_clone_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_primtorch_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_primtorch_no_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_randint_out_dynamic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_recursive_map_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_eval_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_min_chunk_len_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_sorting_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_train_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reinplacing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_relative_import_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_relative_import_no_modulename_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_requires_grad_guards_with_grad_mode1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_requires_grad_guards_with_grad_mode2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_mixed_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_scalar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_weakref_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_dont_change_bytecode_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_noop_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_with_msg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_with_non_string_msg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_without_msg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rng_state_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_seq_append_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setattr_requires_grad_graph_breaks_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_boolean_mask_diff_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_tensor_prop_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_tuple_boolean_mask_diff_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_size_typematch_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slice_into_list_mutable_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slicing_dynamic_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slicing_dynamic_shape_setitem_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_specialized_stride_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_split_with_sizes_aot_autograd_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_staticmethod_allow_in_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_stk_sdd_is_transposed_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_stop_iteration_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_str_isalnum_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_string_format_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_subclass_graph_output_repro_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_classmethod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_classmethod_inheritance_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_diamond_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_in_staticmethod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_staticmethod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_swin_base_tensor_attr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symint_bitwise_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symnode_is_not_op_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symnode_is_op_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sys_monitoring_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_data_kwarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_isinstance_tuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_item_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_random_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_mismatched_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_split_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_split_within_device_cm_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_uniform_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_threading_local_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tokenization_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_compile_in_compile_frame_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_ops_aten_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_tensor_ops_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_tensor_ops_no_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_variable_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torchname_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_trace_functional_tensor_with_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tuple_enum_as_key_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_typed_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_typed_dict_total_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_udf_classes_reconstruction_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unbacked_arange_in_bounds_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unbind_copy_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unpack_hooks_can_be_disabled_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unpack_hooks_dont_run_during_tracing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unspecialized_nn_module_with_torch_variable_attribute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unsqueeze_mul_strides_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_custom_init_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_custom_init_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_defined_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_defined_object_callable_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_validate_model_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_vc_bumped_in_inference_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_vdd_duplicate_error_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_view_dtype_overload_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_callback_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_construction_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_del_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_proxy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_reconstruct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_while_loop_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_while_loop_graph_break_inside_call_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_with_on_graph_break_inst_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_with_on_graph_break_nested_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_zeros_out_dynamic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_access_by_keys_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_basicmodule1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_basicmodule2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_call_fn_with_non_const_inputs_safe_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_cfgmod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_children_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_constloop_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_call_forward_directly_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_call_super_forward_directly_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_transpose_call_forward_directly_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_transpose_call_super_forward_directly_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_densenet_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_enumvalues_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmember_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmembercmp1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmembercmp2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_forward_directly_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_generation_tag_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_hasattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_inject_module_parameters_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_intarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_iseval1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_iseval2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_isnonelayer_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_istraining1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_istraining2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_layerlist_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module6_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module7_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_bad_params_call_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_bad_params_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_no_cls_to_become_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_speculation_log_divergence_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_attribute_precedence_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_call_module_with_static_forward_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_class_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_comparison_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_forward_has_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_guard_name_is_valid_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_name_string_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_property_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_static_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_moduledict_custom_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_moduledict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_custom_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_nested_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulemethod1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulemethod2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_named_children_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_module_setattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_module_unspec_int_attr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_moduledict_contains_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameterdict_custom_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameterdict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_self_mutating1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_seq_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_sequential_with_duplicated_module2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_sequential_with_duplicated_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_simple_torch_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_stringmember_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_submodules1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_submodules2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super_class_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_tensorlist_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_torch_function_with_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_torch_mangled_class_name_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_unsupportedmethod_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_unsupportedmodule_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_viamodulecall_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_access_class_method_from_user_class_attr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_access_class_method_from_user_class_builtin_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_byte_tensor_does_not_crash_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_capture_symbolic_tracing_simple_within_fake_mode_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_capture_symbolic_tracing_within_fake_mode_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_free_variables_overlapping_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_op_param_buffer_lifted_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_args_mismatch_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_return_multiple_tensors_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_return_non_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_mismatch_return_length_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_mismatch_return_tensor_meta_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_missing_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_non_list_operands_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_non_tensor_operands_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_unsupported_pred_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_supported_pred_types_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_constraint_violation_error_messages_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dataclass_input_output_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dict_return_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dict_return_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_2_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_output_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_output_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamic_slicing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamic_slicing_simple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamo_enum_in_tuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamo_list_index_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_empty_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_enforce_equalities_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_compare_optimize_with_make_fx_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_cond_in_aten_symbolic_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_control_flow_with_getattr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_decomp_asserts_bad_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_decomp_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_defaults_ok_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_control_flow_error_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_cleanup_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_not_1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_range_constraint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_bypass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_bypass_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_complex_reorder_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_complex_reorder_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_list_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_identity_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_masking_with_no_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_meta_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_meta_val_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_2_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_module_specify_constraints_signature_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_multi_dynamic_dim_constraint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_multi_dynamic_dim_unsafe_relationship_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_nn_module_stack_patched_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_no_raise_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_no_tensor_computation_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_pass_arg_by_name_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_pass_arg_by_name_star_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_persist_assert_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_preserve_constraints_as_metadata_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_preserves_nn_module_stack_for_get_attr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_guard_full_constraint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_guard_partial_constraint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_on_relationship_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_shape_control_flow_1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_specialized_int_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_symbolic_shape_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_and_empty_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_None_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_float_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_tuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_builtin_op_on_assume_constant_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_branches_calling_methods_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_dynamic_shape_pred_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_with_closed_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_dict_values_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_multiarg_diff_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_multiarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_global_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_in_unspecialized_nn_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_list_nonzero_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_list_nonzero_free_function_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_method_on_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_method_on_module_invoke_twice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_none_control_flow_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_none_control_flow_free_func_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_free_func_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_pos_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_return_const_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_tuple_nonzero_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_functools_wrapped_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_functools_wrapped_method_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_and_empty_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_None_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_float_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_tuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_cond_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_zero_sized_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_zero_sized_tensor_suppress_errors_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_module_layer_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_nonzero_static_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_shallow_list_copy_with_side_effects_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_shallow_list_copy_wo_side_effects_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_stack_trace_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_symbool_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_wrapped_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_exported_graph_serialization_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_func_return_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_func_return_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_fx_pytree_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_immutable_list_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_container_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_global_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_global_multiple_access_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_nonlocal_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_unused_nonlocal_ok_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_contains_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_not_contains_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_unpack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_unpack_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_map_cond_param_buffer_lifted_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_mixed_real_and_fake_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_multiple_outputs_op_with_evaluator_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_nested_cond_op_param_buffer_lifted_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_2_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_fail_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_not_functionalize_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_param_buffer_safe_from_mutation_recurse_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_param_buffer_safe_from_mutation_simple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_pre_dispatch_simple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_for_out_dtype_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_for_out_dtype_nested_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_higher_order_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_higher_order_nested_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_inline_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_recompile_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_remove_redundant_dynamic_dim_in_error_message_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_dict_container_inp_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_nested_list_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_round_dynamic_shapes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_strict_fake_tensor_prop_real_tensors_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_subclass_parameters_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_sum_param_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_sym_contains_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_with_parameters_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbool_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_torch_inference_mode_ctx_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_trivial_constraint_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_uncaptured_higher_order_op_error_not_suppresed_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_untracked_inputs_in_constraints_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_and_out_different_shape_on_test_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_and_out_different_shape_on_test_with_aten_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_permute_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_duck_size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_getitem_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_kwarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_order_dependence_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_zero_inference_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_enumerate_not_break_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_extended_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_graph_break_on_item_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_multigraph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_no_graph_break_on_item_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_pop_after_resume_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_range_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_range_iter_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_state_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_freevars_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_paths_join_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_tuple_iterator_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_stack_state1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_stack_state2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_tuple_iterator_mutate_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_tuple_iterator_return_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_access_module_attr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_allow_python_side_effects_utility_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_constants_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_global_num_adds_guard_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_global_num_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_input_num_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_numpy_number_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_tracked_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_tracked_nested_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_global_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_global_nested_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_nonlocal_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_value_created_in_subgraph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_concat_unbacked_shape_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_branches_no_arguments_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_branches_no_arguments_no_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_free_variable_in_both_branches_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_graph_break_in_one_branch_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_pytree_operands_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_pytree_operands_with_non_tensor_leaves_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_side_effect_in_one_branches_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_source_fn_stack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_subgraph_name_is_valid_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_with_constant_pred_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_with_empty_operands_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_dynamic_shapes_over_vmap_batch_size_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_enum_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_error_message_sane_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fallback_on_graph_break_complicated_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fallback_on_graph_break_simple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_flat_list_output_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fn_with_kwargs_in_torch_ops_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_freevars_as_inputs_to_wrap_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_grad_source_fn_stack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_incorrect_type_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_no_hints_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_pytree_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hooks_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hopify_generic_wrap_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_inlined_functions_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_internal_nonlocal_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensor_constant_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensors_with_compound_expressions_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensors_with_shared_symbols_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_make_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_example_value_metadata_consistent_with_eager_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_lowers_to_graph_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_multi_return_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_pytree_return_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_side_effect_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_source_fn_stack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_subgraph_name_is_valid_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_symint_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_modules_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_nested_tuple_output_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_nested_wrap_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_no_freevars_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_output_with_dict_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_register_mode_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_register_subclass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_var_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_var_used_multiple_times_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_vars_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_same_freevar_twice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_global_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_global_obj_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_obj_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_in_body_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_local_list_append_no_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_num_builtin_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_num_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_tensor_builtin_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_num_builtin_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_num_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor_builtin_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_nested_nonlocal_list_append_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_nonlocal_list_append_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_global_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_global_obj_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_obj_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_global_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_global_obj_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_obj_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_support_float_in_output_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_symint_in_slice_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_symint_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_and_unbacked_symbol_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_to_list_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_with_unbacked_shape_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_unbacked_symbol_closure_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_vmap_multiply_scalar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_vmap_source_fn_stack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_all_kwarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_allow_local_assign_in_body_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_inductor_compiled_regions_option_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_inductor_compiled_regions_with_backward_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_else_branch_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_if_branch_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_int_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_only_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_recompile_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_nested_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_not_const_symint_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_with_symint_constant_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_source_fn_stack_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_subgraph_name_is_valid_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_disable_inline_nn_module_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_sequential_params_and_buffers_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_call_compiled_backward_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_call_torch_compile_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_capture_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_closure_scalar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_fn_with_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_freevar_python_scalar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_freevar_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_has_aux_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_non_tensor_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_over_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_pytree_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_recompile_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_two_tensor_all_grad_has_aux_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_two_tensor_has_aux_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_with_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_with_side_effect_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_hessian_argnums_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_hessian_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_has_aux_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_randomness_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_two_tensors_argnums_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_has_aux_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_two_tensors_argnums_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_call_torch_compile_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_freevar_python_scalar_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_freevar_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_has_aux_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_jvp_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_simple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_enable_disable_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_grad_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_has_aux_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_linearize_jvp_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_teardown_resets_nested_graph_breaks_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_call_compiled_backward_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_has_aux_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_multiple_outputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_multiple_outputs_python_struct_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_call_compiled_backward_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_call_torch_compile_fn_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_free_const_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_free_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_get_wrapped_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_kwargs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_in_dims_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_out_dims_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_diff_dims_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_out_dims_tuple_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_implicit_via_op_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_in_body_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_unused_in_body_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_out_dims_None_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_over_vmap_captured_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_over_vmap_two_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_previous_illegal_op_no_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_pytree_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_different_config_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_same_config_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_with_randomness_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_side_effects_append_input_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_side_effects_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_two_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_two_inputs_tuple_in_dims_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_conditional_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_lambda_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_LSTM_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_alias_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_backwards_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_error_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_functionalizes_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_raises_invalid_leaf_set_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_stride_reconstruction_on_zero_dim_dynamic_shaped_tensor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_export_joint_simple_repro_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_grad_mode_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_sequence_nr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_list_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_with_global_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_autograd_function_tangent_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_safe_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_control_flow_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_copy_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_fails_in_backward_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_fails_in_forward_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_different_inputs_overlapping_set_with_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer5_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer6_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph2_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph3_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph4_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_double_backward_errors_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_eager_sequence_nr_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_grad_inputs_alias_inputs_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_inputs_overlapping_with_mutation_recompile_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_inputs_overlapping_with_mutation_stress_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_joint_custom_pass_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_multiple_aot_autograd_calls_dupe_args_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_mutation1_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_negative_testing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_negative_testing_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_nn_parameter_construction_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_no_storage_overlap_guards_no_aliasing_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_no_storage_overlap_guards_no_mutation_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_requires_grad_fake_via_dynamo_recompiles_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_split_with_sizes_aot_autograd_cleans_up_traceback_meta_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_unbacked_activation_specialized_in_inductor_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_graph_break_SDPAParams_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_input_SDPAParams_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_intermediate_attr_access_SDPAParams_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_returns_SDPAParams_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_sdpa_c_functions_no_graph_break_dynamic_shapes, test/dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_sdpa_kernel_decorator_with_compile_dynamic_shapes 2025-12-04T16:31:44.5208010Z 2025-12-04T16:31:44.5208824Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_311_resume_block_keyerror2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2776s] [ 0%] 2025-12-04T16:31:44.5210492Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_311_resume_block_keyerror_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4273s] [ 0%] 2025-12-04T16:31:44.5212218Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_arguments_binding_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2465s] [ 0%] 2025-12-04T16:31:44.5213775Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0710s] [ 0%] 2025-12-04T16:31:44.5215321Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3287s] [ 0%] 2025-12-04T16:31:44.5216906Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4155s] [ 0%] 2025-12-04T16:31:44.5218574Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_inner_fn_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.7969s] [ 0%] 2025-12-04T16:31:44.5220179Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [1.1169s] [ 0%] 2025-12-04T16:31:44.5221718Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_device_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0644s] [ 0%] 2025-12-04T16:31:44.5223198Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0637s] [ 0%] 2025-12-04T16:31:44.5224689Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_float64_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0636s] [ 0%] 2025-12-04T16:31:44.5226535Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_graph_break_method_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3692s] [ 0%] 2025-12-04T16:31:44.5228289Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_sdpa_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0003s] (Can't run fused SDPA on this platform) [ 0%] 2025-12-04T16:31:44.5230627Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autograd_profiler_dynamic_shapes <- test/dynamo/test_ctx_manager.py W1204 15:06:59.314000 154461 site-packages/torch/_logging/_internal.py:1204] [0/0] Profiler function will be ignored 2025-12-04T16:31:44.5232776Z W1204 15:06:59.324000 154461 site-packages/torch/_logging/_internal.py:1204] [0/0] Profiler function will be ignored 2025-12-04T16:31:44.5233692Z PASSED [0.3589s] [ 0%] 2025-12-04T16:31:44.5234627Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autograd_profiler_enabled_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2141s] [ 0%] 2025-12-04T16:31:44.5236283Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_grad_mode_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2820s] [ 0%] 2025-12-04T16:31:44.5238234Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_grad_mode_nested_function_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2822s] [ 0%] 2025-12-04T16:31:44.5240102Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_set_grad_enabled_nested_function_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1432s] [ 0%] 2025-12-04T16:31:44.5241784Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_amp_autocast_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0571s] [ 0%] 2025-12-04T16:31:44.5243421Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_device_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3705s] [ 1%] 2025-12-04T16:31:44.5245417Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_across_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0003s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.5247944Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_created_outside_of_graph_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0002s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.5250557Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_method_create_stream_outside_of_compile_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0002s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.5252782Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_method_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2309s] [ 1%] 2025-12-04T16:31:44.5254769Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_reconstruct_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0003s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.5256804Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_across_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py XFAIL [0.2263s] [ 1%] 2025-12-04T16:31:44.5258459Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_compared_with_constant_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2450s] [ 1%] 2025-12-04T16:31:44.5260139Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_compared_with_stream_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3452s] [ 1%] 2025-12-04T16:31:44.5261837Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_context_manager1_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1974s] [ 1%] 2025-12-04T16:31:44.5263470Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_context_manager2_dynamic_shapes <- test/dynamo/test_ctx_manager.py XFAIL [0.2594s] [ 1%] 2025-12-04T16:31:44.5265034Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_method_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2403s] [ 1%] 2025-12-04T16:31:44.5266616Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0493s] [ 1%] 2025-12-04T16:31:44.5268294Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1045s] [ 1%] 2025-12-04T16:31:44.5270044Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_prev_disabled_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0464s] [ 1%] 2025-12-04T16:31:44.5271874Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_prev_disabled_nested_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0489s] [ 1%] 2025-12-04T16:31:44.5273724Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3643s] [ 1%] 2025-12-04T16:31:44.5275556Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3758s] [ 1%] 2025-12-04T16:31:44.5277453Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_with_graph_break_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2412s] [ 1%] 2025-12-04T16:31:44.5279487Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_with_graph_break_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0803s] [ 1%] 2025-12-04T16:31:44.5281538Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_ctx_manager_with_graph_break_CustomizedCtxManagerWithGraphBreak_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1411s] [ 2%] 2025-12-04T16:31:44.5283622Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_ctx_manager_with_graph_break_customized_ctx_manager_with_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0188s] [ 2%] 2025-12-04T16:31:44.5285409Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_grad_mode_guard_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2467s] [ 2%] 2025-12-04T16:31:44.5286992Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_graph_break_inlining_autocast_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.8042s] [ 2%] 2025-12-04T16:31:44.5288618Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_graph_break_inlining_grad_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2678s] [ 2%] 2025-12-04T16:31:44.5290276Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1579s] [ 2%] 2025-12-04T16:31:44.5292104Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_nullctx2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1631s] [ 2%] 2025-12-04T16:31:44.5293881Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_nullctx_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1584s] [ 2%] 2025-12-04T16:31:44.5295667Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_stack2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1810s] [ 2%] 2025-12-04T16:31:44.5297374Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_stack_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1622s] [ 2%] 2025-12-04T16:31:44.5299018Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_is_autocast_cpu_enabled_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1573s] [ 2%] 2025-12-04T16:31:44.5300744Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3938s] [ 2%] 2025-12-04T16:31:44.5302638Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.7306s] [ 2%] 2025-12-04T16:31:44.5304773Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_with_graph_break_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4847s] [ 2%] 2025-12-04T16:31:44.5306886Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_with_graph_break_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1677s] [ 2%] 2025-12-04T16:31:44.5308771Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_grad_mode_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2721s] [ 2%] 2025-12-04T16:31:44.5310285Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_no_grad_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [1.1319s] [ 2%] 2025-12-04T16:31:44.5311792Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_return_context_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0406s] [ 2%] 2025-12-04T16:31:44.5313519Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_return_context_manager_with_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1324s] [ 2%] 2025-12-04T16:31:44.5315186Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager1_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [52.8140s] [ 2%] 2025-12-04T16:31:44.5317064Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager2_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0006s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 3%] 2025-12-04T16:31:44.5318926Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager3_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2272s] [ 3%] 2025-12-04T16:31:44.5320570Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_as_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2634s] [ 3%] 2025-12-04T16:31:44.5322254Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_kwargs_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1096s] [ 3%] 2025-12-04T16:31:44.5323923Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_set_priority_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1288s] [ 3%] 2025-12-04T16:31:44.5325595Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_store_attr_graph_break_key_error_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1583s] [ 3%] 2025-12-04T16:31:44.5327795Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_torch_profiler_dynamic_shapes <- test/dynamo/test_ctx_manager.py W1204 15:08:03.661000 154461 site-packages/torch/_logging/_internal.py:1204] [0/0] Profiler function will be ignored 2025-12-04T16:31:44.5329405Z PASSED [0.3366s] [ 3%] 2025-12-04T16:31:44.5330387Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_torch_profiler_use_after_with_block_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0280s] [ 3%] 2025-12-04T16:31:44.5332018Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_T_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1537s] [ 3%] 2025-12-04T16:31:44.5333378Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_add__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1765s] [ 3%] 2025-12-04T16:31:44.5334736Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1202s] [ 3%] 2025-12-04T16:31:44.5336103Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcdiv__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1995s] [ 3%] 2025-12-04T16:31:44.5337508Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcdiv_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1791s] [ 3%] 2025-12-04T16:31:44.5338915Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcmul__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1666s] [ 3%] 2025-12-04T16:31:44.5340484Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_are_functorch_transforms_active_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0916s] [ 3%] 2025-12-04T16:31:44.5342066Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_attrgetter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [3.6389s] [ 3%] 2025-12-04T16:31:44.5343555Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_broadcast_foreach_pow_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0572s] [ 3%] 2025-12-04T16:31:44.5345065Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_build_list_unpack_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2044s] [ 3%] 2025-12-04T16:31:44.5346558Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1455s] [ 3%] 2025-12-04T16:31:44.5347979Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0989s] [ 3%] 2025-12-04T16:31:44.5349391Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1703s] [ 4%] 2025-12-04T16:31:44.5350809Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1717s] [ 4%] 2025-12-04T16:31:44.5352224Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1700s] [ 4%] 2025-12-04T16:31:44.5353680Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_builtin_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0903s] [ 4%] 2025-12-04T16:31:44.5355155Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_class_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.8257s] [ 4%] 2025-12-04T16:31:44.5356631Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0903s] [ 4%] 2025-12-04T16:31:44.5358103Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1391s] [ 4%] 2025-12-04T16:31:44.5359560Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_torch_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0906s] [ 4%] 2025-12-04T16:31:44.5360983Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_chunks1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2728s] [ 4%] 2025-12-04T16:31:44.5362390Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_class_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0736s] [ 4%] 2025-12-04T16:31:44.5363827Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_eq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1611s] [ 4%] 2025-12-04T16:31:44.5365225Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0922s] [ 4%] 2025-12-04T16:31:44.5366626Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_is_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1558s] [ 4%] 2025-12-04T16:31:44.5368089Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_compare_constant_and_tensor_dynamic_shapes <- test/dynamo/test_functions.py PASSED [5.8099s] [ 4%] 2025-12-04T16:31:44.5369615Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_complex_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0180s] [ 4%] 2025-12-04T16:31:44.5371202Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_const_tuple_add1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1351s] [ 4%] 2025-12-04T16:31:44.5372682Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_const_tuple_add2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1356s] [ 4%] 2025-12-04T16:31:44.5374151Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1843s] [ 4%] 2025-12-04T16:31:44.5375597Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1692s] [ 4%] 2025-12-04T16:31:44.5377016Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0889s] [ 5%] 2025-12-04T16:31:44.5378429Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1132s] [ 5%] 2025-12-04T16:31:44.5379885Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1627s] [ 5%] 2025-12-04T16:31:44.5381489Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_context_wrapping_nested_functions_no_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1072s] [ 5%] 2025-12-04T16:31:44.5383115Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cublas_allow_tf32_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1153s] [ 5%] 2025-12-04T16:31:44.5384607Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_custom_dict_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0514s] [ 5%] 2025-12-04T16:31:44.5386110Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1746s] [ 5%] 2025-12-04T16:31:44.5387607Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_constr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1957s] [ 5%] 2025-12-04T16:31:44.5389108Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1643s] [ 5%] 2025-12-04T16:31:44.5390598Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1678s] [ 5%] 2025-12-04T16:31:44.5392091Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1724s] [ 5%] 2025-12-04T16:31:44.5393551Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1708s] [ 5%] 2025-12-04T16:31:44.5395031Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_tuple_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1653s] [ 5%] 2025-12-04T16:31:44.5396562Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0916s] [ 5%] 2025-12-04T16:31:44.5398157Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5690s] [ 5%] 2025-12-04T16:31:44.5399738Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0921s] [ 5%] 2025-12-04T16:31:44.5401182Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_del_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1504s] [ 5%] 2025-12-04T16:31:44.5402545Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_deque_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1125s] [ 5%] 2025-12-04T16:31:44.5403965Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_device_constant_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0929s] [ 5%] 2025-12-04T16:31:44.5405571Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_device_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0902s] [ 5%] 2025-12-04T16:31:44.5406955Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_copy_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2565s] [ 6%] 2025-12-04T16:31:44.5408506Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_fromkeys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2280s] [ 6%] 2025-12-04T16:31:44.5409960Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1327s] [ 6%] 2025-12-04T16:31:44.5411479Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_id_guard_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0870s] [ 6%] 2025-12-04T16:31:44.5412944Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_items_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1034s] [ 6%] 2025-12-04T16:31:44.5414458Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1949s] [ 6%] 2025-12-04T16:31:44.5415896Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1868s] [ 6%] 2025-12-04T16:31:44.5417331Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1765s] [ 6%] 2025-12-04T16:31:44.5418749Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_keys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0920s] [ 6%] 2025-12-04T16:31:44.5420152Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1114s] [ 6%] 2025-12-04T16:31:44.5421605Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_mutable_map_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0956s] [ 6%] 2025-12-04T16:31:44.5423038Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_ops_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2083s] [ 6%] 2025-12-04T16:31:44.5424467Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_param_keys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1046s] [ 6%] 2025-12-04T16:31:44.5425926Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0977s] [ 6%] 2025-12-04T16:31:44.5427407Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0975s] [ 6%] 2025-12-04T16:31:44.5428885Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0966s] [ 6%] 2025-12-04T16:31:44.5430399Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0945s] [ 6%] 2025-12-04T16:31:44.5431864Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_tuple_lazy_guard_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1750s] [ 6%] 2025-12-04T16:31:44.5433324Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_update_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3694s] [ 6%] 2025-12-04T16:31:44.5434779Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_update_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1052s] [ 6%] 2025-12-04T16:31:44.5436236Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_values_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1042s] [ 7%] 2025-12-04T16:31:44.5437738Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_distributed_is_available_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0914s] [ 7%] 2025-12-04T16:31:44.5439314Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_distributed_is_initialized_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0912s] [ 7%] 2025-12-04T16:31:44.5440835Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dtype_compare_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1370s] [ 7%] 2025-12-04T16:31:44.5442317Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dtype_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0906s] [ 7%] 2025-12-04T16:31:44.5443708Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_elipsis_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7131s] [ 7%] 2025-12-04T16:31:44.5445148Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_custom_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0805s] [ 7%] 2025-12-04T16:31:44.5446616Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1125s] [ 7%] 2025-12-04T16:31:44.5448428Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py SKIPPED [0.0003s] (https://github.com/pytorch/pytorch/pull/146527 exposed a bug) [ 7%] 2025-12-04T16:31:44.5450219Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.1447s] [ 7%] 2025-12-04T16:31:44.5451740Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_fallback_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.1240s] [ 7%] 2025-12-04T16:31:44.5453273Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_graph_break_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1512s] [ 7%] 2025-12-04T16:31:44.5454866Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_infinite_iterator_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0587s] [ 7%] 2025-12-04T16:31:44.5456408Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0909s] [ 7%] 2025-12-04T16:31:44.5457933Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_with_graph_break_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3078s] [ 7%] 2025-12-04T16:31:44.5459388Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_finfo_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1096s] [ 7%] 2025-12-04T16:31:44.5460846Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_flat_param_same_storage_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2753s] [ 7%] 2025-12-04T16:31:44.5462322Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_float_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0914s] [ 7%] 2025-12-04T16:31:44.5463741Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fn_with_self_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [50.4790s] [ 7%] 2025-12-04T16:31:44.5465235Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_foreach_lerp__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2749s] [ 7%] 2025-12-04T16:31:44.5466658Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1115s] [ 8%] 2025-12-04T16:31:44.5468082Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0854s] [ 8%] 2025-12-04T16:31:44.5469501Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0856s] [ 8%] 2025-12-04T16:31:44.5470917Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0798s] [ 8%] 2025-12-04T16:31:44.5472341Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0801s] [ 8%] 2025-12-04T16:31:44.5473747Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings6_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0873s] [ 8%] 2025-12-04T16:31:44.5475304Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_funcdef_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2181s] [ 8%] 2025-12-04T16:31:44.5476816Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_cache_guard_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0771s] [ 8%] 2025-12-04T16:31:44.5478372Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_partial_binding_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0715s] [ 8%] 2025-12-04T16:31:44.5479907Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_partial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3174s] [ 8%] 2025-12-04T16:31:44.5481499Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1150s] [ 8%] 2025-12-04T16:31:44.5483106Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_subclass_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1152s] [ 8%] 2025-12-04T16:31:44.5484734Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_user_methods_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1134s] [ 8%] 2025-12-04T16:31:44.5486321Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_autocast_gpu_dtype_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0900s] [ 8%] 2025-12-04T16:31:44.5487857Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_calculate_correct_fan_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0954s] [ 8%] 2025-12-04T16:31:44.5489387Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_default_dtype_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0850s] [ 8%] 2025-12-04T16:31:44.5490962Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_device_properties_tensor_device_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1136s] [ 8%] 2025-12-04T16:31:44.5492672Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_privateuse1_name_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0860s] [ 8%] 2025-12-04T16:31:44.5494122Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_getattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0899s] [ 8%] 2025-12-04T16:31:44.5495570Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_getattr_metaclass_dynamic_shapes <- test/dynamo/test_functions.py XFAIL [0.0437s] [ 9%] 2025-12-04T16:31:44.5497021Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalfn_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1108s] [ 9%] 2025-12-04T16:31:44.5498503Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalmodule_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5992s] [ 9%] 2025-12-04T16:31:44.5499923Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalvar_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1595s] [ 9%] 2025-12-04T16:31:44.5501335Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_import1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1341s] [ 9%] 2025-12-04T16:31:44.5502728Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_in_not_in_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0936s] [ 9%] 2025-12-04T16:31:44.5504107Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_index_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.6698s] [ 9%] 2025-12-04T16:31:44.5505677Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indexed_range_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0051s] [ 9%] 2025-12-04T16:31:44.5507098Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1136s] [ 9%] 2025-12-04T16:31:44.5508577Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1123s] [ 9%] 2025-12-04T16:31:44.5510041Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1131s] [ 9%] 2025-12-04T16:31:44.5511535Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_jit__unwrap_optional_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0928s] [ 9%] 2025-12-04T16:31:44.5513080Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_jit_annotations_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1173s] [ 9%] 2025-12-04T16:31:44.5514721Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_lru_cache_fn_with_default_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1081s] [ 9%] 2025-12-04T16:31:44.5516422Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_script_if_tracing_fn_with_default_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1497s] [ 9%] 2025-12-04T16:31:44.5518026Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_softmax_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1802s] [ 9%] 2025-12-04T16:31:44.5519508Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_with_default_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1585s] [ 9%] 2025-12-04T16:31:44.5520980Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inner_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0903s] [ 9%] 2025-12-04T16:31:44.5522477Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_any_autocast_enabled_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0861s] [ 9%] 2025-12-04T16:31:44.5524007Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_checkpoint_valid_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0860s] [ 9%] 2025-12-04T16:31:44.5525473Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_complex_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0875s] [ 10%] 2025-12-04T16:31:44.5526960Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_contiguous_frame_counts_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.0057s] [ 10%] 2025-12-04T16:31:44.5528536Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_contiguous_memory_format_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1023s] [ 10%] 2025-12-04T16:31:44.5529997Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1138s] [ 10%] 2025-12-04T16:31:44.5531555Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_floating_point_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0861s] [ 10%] 2025-12-04T16:31:44.5534298Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_fx_tracing_dynamic_shapes <- test/dynamo/test_functions.py W1204 15:09:26.738000 154461 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T16:31:44.5536454Z PASSED [0.0831s] [ 10%] 2025-12-04T16:31:44.5537310Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_in_onnx_export_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0825s] [ 10%] 2025-12-04T16:31:44.5538895Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_inference_mode_global_recompilation_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1269s] [ 10%] 2025-12-04T16:31:44.5540558Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_inference_recompilation_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3174s] [ 10%] 2025-12-04T16:31:44.5542073Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_integer_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0889s] [ 10%] 2025-12-04T16:31:44.5543523Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_not_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1143s] [ 10%] 2025-12-04T16:31:44.5544915Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_not_null_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1175s] [ 10%] 2025-12-04T16:31:44.5546345Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_quantized_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1147s] [ 10%] 2025-12-04T16:31:44.5547766Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_sparse_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0880s] [ 10%] 2025-12-04T16:31:44.5549201Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_isinstance_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1286s] [ 10%] 2025-12-04T16:31:44.5550642Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_islice_chain_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1750s] [ 10%] 2025-12-04T16:31:44.5552077Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itemgetter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [3.1560s] [ 10%] 2025-12-04T16:31:44.5553531Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_chain_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1656s] [ 10%] 2025-12-04T16:31:44.5555064Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_chain_from_iterable_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1672s] [ 10%] 2025-12-04T16:31:44.5556649Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_combinations_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0570s] [ 10%] 2025-12-04T16:31:44.5558181Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_compress_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0446s] [ 11%] 2025-12-04T16:31:44.5559735Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_compress_tensors_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0503s] [ 11%] 2025-12-04T16:31:44.5561329Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_filterfalse_basic_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0784s] [ 11%] 2025-12-04T16:31:44.5562876Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_pairwise_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0520s] [ 11%] 2025-12-04T16:31:44.5564429Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0338s] [ 11%] 2025-12-04T16:31:44.5566077Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_basic_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0473s] [ 11%] 2025-12-04T16:31:44.5567759Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_various_iterators_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0923s] [ 11%] 2025-12-04T16:31:44.5569408Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0126s] [ 11%] 2025-12-04T16:31:44.5570917Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2201s] [ 11%] 2025-12-04T16:31:44.5572606Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_various_iterators_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0890s] [ 11%] 2025-12-04T16:31:44.5574227Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0750s] [ 11%] 2025-12-04T16:31:44.5575720Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_jit_annotate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1061s] [ 11%] 2025-12-04T16:31:44.5577233Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0915s] [ 11%] 2025-12-04T16:31:44.5578716Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0909s] [ 11%] 2025-12-04T16:31:44.5580251Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_misc_iterables_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0909s] [ 11%] 2025-12-04T16:31:44.5581779Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_tensor_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0919s] [ 11%] 2025-12-04T16:31:44.5583184Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1173s] [ 11%] 2025-12-04T16:31:44.5584624Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_add_then_mutate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1582s] [ 11%] 2025-12-04T16:31:44.5586085Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_clear_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1438s] [ 11%] 2025-12-04T16:31:44.5587565Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_compare_polyfill_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3919s] [ 11%] 2025-12-04T16:31:44.5589134Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_compare_polyfill_non_lists_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1133s] [ 12%] 2025-12-04T16:31:44.5590654Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_convert_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1685s] [ 12%] 2025-12-04T16:31:44.5592097Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_expand_lhs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1347s] [ 12%] 2025-12-04T16:31:44.5593637Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_index_with_constant_tensor_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1317s] [ 12%] 2025-12-04T16:31:44.5595165Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_reversed_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1788s] [ 12%] 2025-12-04T16:31:44.5596606Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_setitem_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1178s] [ 12%] 2025-12-04T16:31:44.5598062Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_setitem_slice_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1146s] [ 12%] 2025-12-04T16:31:44.5599628Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_slice_assignment_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7194s] [ 12%] 2025-12-04T16:31:44.5601102Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_slice_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0741s] [ 12%] 2025-12-04T16:31:44.5602532Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_sorted1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0927s] [ 12%] 2025-12-04T16:31:44.5603953Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_sorted2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0958s] [ 12%] 2025-12-04T16:31:44.5605533Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_truth_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1180s] [ 12%] 2025-12-04T16:31:44.5606964Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1316s] [ 12%] 2025-12-04T16:31:44.5608378Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1284s] [ 12%] 2025-12-04T16:31:44.5609837Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1274s] [ 12%] 2025-12-04T16:31:44.5611398Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1276s] [ 12%] 2025-12-04T16:31:44.5612806Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1274s] [ 12%] 2025-12-04T16:31:44.5614246Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_load_global_bool_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0957s] [ 12%] 2025-12-04T16:31:44.5615882Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_lru_cache_warning_issued_during_tracing_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0803s] [ 12%] 2025-12-04T16:31:44.5617388Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_mT_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1555s] [ 12%] 2025-12-04T16:31:44.5618779Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_manual_seed_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.8260s] [ 13%] 2025-12-04T16:31:44.5620252Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_call_function_ex_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1558s] [ 13%] 2025-12-04T16:31:44.5621761Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_deque_extendleft_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0951s] [ 13%] 2025-12-04T16:31:44.5623253Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_dict_fromkeys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0928s] [ 13%] 2025-12-04T16:31:44.5624727Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_enumerate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1422s] [ 13%] 2025-12-04T16:31:44.5626181Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_infinite_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1370s] [ 13%] 2025-12-04T16:31:44.5627605Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_iter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0926s] [ 13%] 2025-12-04T16:31:44.5628986Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1345s] [ 13%] 2025-12-04T16:31:44.5630415Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_extend_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0929s] [ 13%] 2025-12-04T16:31:44.5631916Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_slice_assign_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1869s] [ 13%] 2025-12-04T16:31:44.5633450Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_max_const_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0920s] [ 13%] 2025-12-04T16:31:44.5634872Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_max_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0973s] [ 13%] 2025-12-04T16:31:44.5636309Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_partial_unpack_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0926s] [ 13%] 2025-12-04T16:31:44.5637795Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0926s] [ 13%] 2025-12-04T16:31:44.5640546Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_reduce_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1558s] [ 13%] 2025-12-04T16:31:44.5641964Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_return_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0820s] [ 13%] 2025-12-04T16:31:44.5643350Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0919s] [ 13%] 2025-12-04T16:31:44.5644792Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0924s] [ 13%] 2025-12-04T16:31:44.5646246Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_str_join_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0922s] [ 13%] 2025-12-04T16:31:44.5647651Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_sum_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2893s] [ 14%] 2025-12-04T16:31:44.5649047Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_tuple_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1306s] [ 14%] 2025-12-04T16:31:44.5650510Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_unpack_twice_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1367s] [ 14%] 2025-12-04T16:31:44.5652084Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_unpack_vars_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1568s] [ 14%] 2025-12-04T16:31:44.5653567Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_with_graph_break_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3266s] [ 14%] 2025-12-04T16:31:44.5655031Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_zip_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0998s] [ 14%] 2025-12-04T16:31:44.5656518Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_match_mapping_and_match_keys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0909s] [ 14%] 2025-12-04T16:31:44.5658036Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_match_sequence_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1049s] [ 14%] 2025-12-04T16:31:44.5659640Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_math_fma_dynamic_shapes <- test/dynamo/test_functions.py SKIPPED [0.0003s] (math.fma introduced in python 3.13) [ 14%] 2025-12-04T16:31:44.5661234Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_math_radians_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0776s] [ 14%] 2025-12-04T16:31:44.5662662Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_mean_sum_np_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1499s] [ 14%] 2025-12-04T16:31:44.5664071Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1748s] [ 14%] 2025-12-04T16:31:44.5665515Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1455s] [ 14%] 2025-12-04T16:31:44.5667002Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1471s] [ 14%] 2025-12-04T16:31:44.5668452Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcaller_dynamic_shapes <- test/dynamo/test_functions.py PASSED [2.9754s] [ 14%] 2025-12-04T16:31:44.5669861Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_min_max_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1498s] [ 14%] 2025-12-04T16:31:44.5671294Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_module_constant_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1619s] [ 14%] 2025-12-04T16:31:44.5672790Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_defaults_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1152s] [ 14%] 2025-12-04T16:31:44.5674276Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1384s] [ 14%] 2025-12-04T16:31:44.5675750Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_fields_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1240s] [ 14%] 2025-12-04T16:31:44.5677239Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1204s] [ 15%] 2025-12-04T16:31:44.5678810Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_replace_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1411s] [ 15%] 2025-12-04T16:31:44.5680334Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_subclass_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1182s] [ 15%] 2025-12-04T16:31:44.5681874Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_user_methods_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1197s] [ 15%] 2025-12-04T16:31:44.5683458Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_builtin_functions_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1510s] [ 15%] 2025-12-04T16:31:44.5684978Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_method_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1341s] [ 15%] 2025-12-04T16:31:44.5686534Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_methods_returning_scalar_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2252s] [ 15%] 2025-12-04T16:31:44.5688103Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_reshape_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2599s] [ 15%] 2025-12-04T16:31:44.5689593Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_transpose_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1432s] [ 15%] 2025-12-04T16:31:44.5691009Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndim_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0901s] [ 15%] 2025-12-04T16:31:44.5692586Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_no_recompile_inner_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1374s] [ 15%] 2025-12-04T16:31:44.5694163Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_no_recompile_inner_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1295s] [ 15%] 2025-12-04T16:31:44.5695703Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_non_inlined_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.6369s] [ 15%] 2025-12-04T16:31:44.5697143Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_not_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0892s] [ 15%] 2025-12-04T16:31:44.5698735Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_as_input_int_or_float_float_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.1314s] [ 15%] 2025-12-04T16:31:44.5700522Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_as_input_int_or_float_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.1434s] [ 15%] 2025-12-04T16:31:44.5702292Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_guards_float_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2838s] [ 15%] 2025-12-04T16:31:44.5703957Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_guards_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2761s] [ 15%] 2025-12-04T16:31:44.5705619Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_finfo_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0915s] [ 15%] 2025-12-04T16:31:44.5707017Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_iinfo_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0905s] [ 15%] 2025-12-04T16:31:44.5708591Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_as_integer_ratio_num_type0_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0583s] [ 16%] 2025-12-04T16:31:44.5710349Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_as_integer_ratio_num_type3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1449s] [ 16%] 2025-12-04T16:31:44.5712131Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_bit_length_num_type1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1901s] [ 16%] 2025-12-04T16:31:44.5713883Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_conjugate_num_type2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1214s] [ 16%] 2025-12-04T16:31:44.5715596Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_conjugate_num_type4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1437s] [ 16%] 2025-12-04T16:31:44.5717266Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_hex_num_type5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1450s] [ 16%] 2025-12-04T16:31:44.5719002Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_is_integer_num_type6_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1428s] [ 16%] 2025-12-04T16:31:44.5720587Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_attributes_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1787s] [ 16%] 2025-12-04T16:31:44.5722147Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_dtype_argument_to_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0927s] [ 16%] 2025-12-04T16:31:44.5723759Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_dtype_call_in_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0889s] [ 16%] 2025-12-04T16:31:44.5725259Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_fft_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2510s] [ 16%] 2025-12-04T16:31:44.5726695Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_linalg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.9188s] [ 16%] 2025-12-04T16:31:44.5728139Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_meshgrid_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7483s] [ 16%] 2025-12-04T16:31:44.5729594Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_random_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0474s] [ 16%] 2025-12-04T16:31:44.5759945Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1169s] [ 16%] 2025-12-04T16:31:44.5761372Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_obj_eq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1665s] [ 16%] 2025-12-04T16:31:44.5762745Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_obj_is_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1601s] [ 16%] 2025-12-04T16:31:44.5764351Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ordered_dict_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0497s] [ 16%] 2025-12-04T16:31:44.5765956Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partial_across_graph_break_uninvoked_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1921s] [ 16%] 2025-12-04T16:31:44.5767563Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_UDF_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1926s] [ 16%] 2025-12-04T16:31:44.5769146Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_partials_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1387s] [ 17%] 2025-12-04T16:31:44.5770770Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_partials_mod_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4871s] [ 17%] 2025-12-04T16:31:44.5772573Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_args_and_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1464s] [ 17%] 2025-12-04T16:31:44.5774296Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2149s] [ 17%] 2025-12-04T16:31:44.5776064Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_mix_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2107s] [ 17%] 2025-12-04T16:31:44.5777788Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_mix_no_source_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2116s] [ 17%] 2025-12-04T16:31:44.5779497Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___annotations___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1015s] [ 17%] 2025-12-04T16:31:44.5781223Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___builtins___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0891s] [ 17%] 2025-12-04T16:31:44.5782848Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___call___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1318s] [ 17%] 2025-12-04T16:31:44.5784456Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___class___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1365s] [ 17%] 2025-12-04T16:31:44.5786077Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___closure___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0945s] [ 17%] 2025-12-04T16:31:44.5787672Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___code___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0945s] [ 17%] 2025-12-04T16:31:44.5789306Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___defaults___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0924s] [ 17%] 2025-12-04T16:31:44.5790941Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___delattr___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1322s] [ 17%] 2025-12-04T16:31:44.5792560Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___dict___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1316s] [ 17%] 2025-12-04T16:31:44.5794149Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___dir___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1311s] [ 17%] 2025-12-04T16:31:44.5795709Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___doc___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1315s] [ 17%] 2025-12-04T16:31:44.5797287Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___eq___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1305s] [ 17%] 2025-12-04T16:31:44.5798918Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___format___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1306s] [ 17%] 2025-12-04T16:31:44.5800524Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___ge___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1311s] [ 18%] 2025-12-04T16:31:44.5802090Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___get___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0892s] [ 18%] 2025-12-04T16:31:44.5803726Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___getattribute___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1304s] [ 18%] 2025-12-04T16:31:44.5805620Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___globals___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0900s] [ 18%] 2025-12-04T16:31:44.5807230Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___gt___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1309s] [ 18%] 2025-12-04T16:31:44.5808887Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___hash___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1309s] [ 18%] 2025-12-04T16:31:44.5810517Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___init___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1309s] [ 18%] 2025-12-04T16:31:44.5812269Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___init_subclass___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1308s] [ 18%] 2025-12-04T16:31:44.5813952Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___kwdefaults___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0889s] [ 18%] 2025-12-04T16:31:44.5815668Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___le___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1309s] [ 18%] 2025-12-04T16:31:44.5817244Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___lt___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1304s] [ 18%] 2025-12-04T16:31:44.5818836Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___module___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1305s] [ 18%] 2025-12-04T16:31:44.5820458Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___name___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0886s] [ 18%] 2025-12-04T16:31:44.5822050Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___ne___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1306s] [ 18%] 2025-12-04T16:31:44.5823637Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___new___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1308s] [ 18%] 2025-12-04T16:31:44.5825244Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___qualname___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0888s] [ 18%] 2025-12-04T16:31:44.5826878Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___reduce___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1308s] [ 18%] 2025-12-04T16:31:44.5828510Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___reduce_ex___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1309s] [ 18%] 2025-12-04T16:31:44.5830133Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___repr___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1320s] [ 18%] 2025-12-04T16:31:44.5831791Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___setattr___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1356s] [ 18%] 2025-12-04T16:31:44.5833403Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___sizeof___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1391s] [ 19%] 2025-12-04T16:31:44.5835010Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___str___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1407s] [ 19%] 2025-12-04T16:31:44.5836645Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___subclasshook___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1320s] [ 19%] 2025-12-04T16:31:44.5838281Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1313s] [ 19%] 2025-12-04T16:31:44.5839861Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_func_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1309s] [ 19%] 2025-12-04T16:31:44.5841445Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_keywords_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1308s] [ 19%] 2025-12-04T16:31:44.5843087Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_set_attr_dynamic_shapes <- test/dynamo/test_functions.py XFAIL [0.0120s] [ 19%] 2025-12-04T16:31:44.5844603Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0906s] [ 19%] 2025-12-04T16:31:44.5846126Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_recompilation_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.1018s] [ 19%] 2025-12-04T16:31:44.5847659Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_torch_op_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0921s] [ 19%] 2025-12-04T16:31:44.5849223Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_torch_op_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0902s] [ 19%] 2025-12-04T16:31:44.5850744Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0847s] [ 19%] 2025-12-04T16:31:44.5852349Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0902s] [ 19%] 2025-12-04T16:31:44.5853878Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_method_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3071s] [ 19%] 2025-12-04T16:31:44.5855425Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_module_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3002s] [ 19%] 2025-12-04T16:31:44.5856892Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pop_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1678s] [ 19%] 2025-12-04T16:31:44.5858249Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pos_dynamic_shapes <- test/dynamo/test_functions.py PASSED [2.1638s] [ 19%] 2025-12-04T16:31:44.5859780Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pos_only_args_with_same_name_in_star_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5385s] [ 19%] 2025-12-04T16:31:44.5861313Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pow_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1325s] [ 19%] 2025-12-04T16:31:44.5862736Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_promote_types_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0919s] [ 19%] 2025-12-04T16:31:44.5864179Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_rand_inlined_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1255s] [ 20%] 2025-12-04T16:31:44.5865699Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_rand_tensor_partial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5214s] [ 20%] 2025-12-04T16:31:44.5867149Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0814s] [ 20%] 2025-12-04T16:31:44.5868527Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1592s] [ 20%] 2025-12-04T16:31:44.5869956Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1213s] [ 20%] 2025-12-04T16:31:44.5871426Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1211s] [ 20%] 2025-12-04T16:31:44.5872944Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_graph_break_2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1090s] [ 20%] 2025-12-04T16:31:44.5874522Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_graph_break_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1076s] [ 20%] 2025-12-04T16:31:44.5876057Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_length_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0087s] [ 20%] 2025-12-04T16:31:44.5877563Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_with_index_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7158s] [ 20%] 2025-12-04T16:31:44.5879064Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_with_slice_index_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7172s] [ 20%] 2025-12-04T16:31:44.5880507Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2029s] [ 20%] 2025-12-04T16:31:44.5881988Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_initial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2013s] [ 20%] 2025-12-04T16:31:44.5883512Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_none_initial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0639s] [ 20%] 2025-12-04T16:31:44.5885040Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_single_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0669s] [ 20%] 2025-12-04T16:31:44.5886600Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_single_with_initial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0833s] [ 20%] 2025-12-04T16:31:44.5888121Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_dict2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1178s] [ 20%] 2025-12-04T16:31:44.5889558Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1168s] [ 20%] 2025-12-04T16:31:44.5891178Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_multiple_numpy_ndarray_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1687s] [ 20%] 2025-12-04T16:31:44.5892756Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_numpy_ndarray_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1564s] [ 20%] 2025-12-04T16:31:44.5894230Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_tuple1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1384s] [ 21%] 2025-12-04T16:31:44.5895686Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_tuple2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0942s] [ 21%] 2025-12-04T16:31:44.5897199Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_returning_recursive_func_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.8842s] [ 21%] 2025-12-04T16:31:44.5898712Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_round_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0684s] [ 21%] 2025-12-04T16:31:44.5900098Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0803s] [ 21%] 2025-12-04T16:31:44.5901512Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_in_frozenset_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0906s] [ 21%] 2025-12-04T16:31:44.5902968Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_keys_view_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1308s] [ 21%] 2025-12-04T16:31:44.5904442Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_update_bytecode_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0897s] [ 21%] 2025-12-04T16:31:44.5906353Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_update_list_with_duplicated_items_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0901s] [ 21%] 2025-12-04T16:31:44.5907922Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_shape1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0815s] [ 21%] 2025-12-04T16:31:44.5909312Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_shape2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0807s] [ 21%] 2025-12-04T16:31:44.5910882Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_size_tuple_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0351s] [ 21%] 2025-12-04T16:31:44.5912345Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1165s] [ 21%] 2025-12-04T16:31:44.5913734Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1044s] [ 21%] 2025-12-04T16:31:44.5915136Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1484s] [ 21%] 2025-12-04T16:31:44.5917213Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0948s] [ 21%] 2025-12-04T16:31:44.5918603Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1458s] [ 21%] 2025-12-04T16:31:44.5919993Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice6_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1839s] [ 21%] 2025-12-04T16:31:44.5921371Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice_eq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1288s] [ 21%] 2025-12-04T16:31:44.5922786Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sliced_range_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0119s] [ 22%] 2025-12-04T16:31:44.5924318Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sorted_const_key_non_const_items_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1509s] [ 22%] 2025-12-04T16:31:44.5925940Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sourceless_build_method_type_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1149s] [ 22%] 2025-12-04T16:31:44.5927462Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_startswith_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1282s] [ 22%] 2025-12-04T16:31:44.5928850Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2163s] [ 22%] 2025-12-04T16:31:44.5930247Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0346s] [ 22%] 2025-12-04T16:31:44.5931840Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_with_start_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0334s] [ 22%] 2025-12-04T16:31:44.5933494Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_with_start_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0332s] [ 22%] 2025-12-04T16:31:44.5935072Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_with_start_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1993s] [ 22%] 2025-12-04T16:31:44.5936577Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_with_start_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1926s] [ 22%] 2025-12-04T16:31:44.5938057Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_symbool_to_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1007s] [ 22%] 2025-12-04T16:31:44.5939500Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_dim_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0859s] [ 22%] 2025-12-04T16:31:44.5940985Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_element_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1008s] [ 22%] 2025-12-04T16:31:44.5942478Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_is_complex_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0862s] [ 22%] 2025-12-04T16:31:44.5943934Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_len_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1428s] [ 22%] 2025-12-04T16:31:44.5945475Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_new_with_shape_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0733s] [ 22%] 2025-12-04T16:31:44.5946995Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_new_with_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0718s] [ 22%] 2025-12-04T16:31:44.5948466Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0896s] [ 22%] 2025-12-04T16:31:44.5950022Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_size_indexed_by_symint_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1583s] [ 22%] 2025-12-04T16:31:44.5951589Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1691s] [ 22%] 2025-12-04T16:31:44.5953018Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1324s] [ 23%] 2025-12-04T16:31:44.5954462Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1296s] [ 23%] 2025-12-04T16:31:44.5955909Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1541s] [ 23%] 2025-12-04T16:31:44.5957349Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1314s] [ 23%] 2025-12-04T16:31:44.5958737Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_to_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0419s] [ 23%] 2025-12-04T16:31:44.5960217Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_distributions_functions_dynamic_shapes <- test/dynamo/test_functions.py PASSED [50.4100s] [ 23%] 2025-12-04T16:31:44.5961818Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_from_numpy_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1209s] [ 23%] 2025-12-04T16:31:44.5963377Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_get_device_module_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2019s] [ 23%] 2025-12-04T16:31:44.5964954Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_size_as_dict_key_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2194s] [ 23%] 2025-12-04T16:31:44.5966491Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_size_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0923s] [ 23%] 2025-12-04T16:31:44.5968030Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_source_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0390s] [ 23%] 2025-12-04T16:31:44.5969587Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_transpose_for_scores_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3022s] [ 23%] 2025-12-04T16:31:44.5971233Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_truth_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0125s] [ 23%] 2025-12-04T16:31:44.5972685Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1172s] [ 23%] 2025-12-04T16:31:44.5974139Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1147s] [ 23%] 2025-12-04T16:31:44.5975569Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_contains_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1169s] [ 23%] 2025-12-04T16:31:44.5977010Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_iadd_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1438s] [ 23%] 2025-12-04T16:31:44.5978461Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_map_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1747s] [ 23%] 2025-12-04T16:31:44.5979903Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0930s] [ 23%] 2025-12-04T16:31:44.5981347Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_two_point_iter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1304s] [ 23%] 2025-12-04T16:31:44.5982790Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unary_fold_op_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1912s] [ 24%] 2025-12-04T16:31:44.5984275Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unary_fold_op_seq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0421s] [ 24%] 2025-12-04T16:31:44.5985693Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1613s] [ 24%] 2025-12-04T16:31:44.5987092Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1512s] [ 24%] 2025-12-04T16:31:44.5988484Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1511s] [ 24%] 2025-12-04T16:31:44.5989884Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1527s] [ 24%] 2025-12-04T16:31:44.5991300Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1529s] [ 24%] 2025-12-04T16:31:44.5992700Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1526s] [ 24%] 2025-12-04T16:31:44.5994149Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_mutable_map_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0955s] [ 24%] 2025-12-04T16:31:44.5995652Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unsqueeze_inplace_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.0938s] [ 24%] 2025-12-04T16:31:44.5997112Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_viamethod_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1162s] [ 24%] 2025-12-04T16:31:44.5998507Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_viatorch_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1177s] [ 24%] 2025-12-04T16:31:44.5999918Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_zip_longest_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1309s] [ 24%] 2025-12-04T16:31:44.6001421Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_zip_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0919s] [ 24%] 2025-12-04T16:31:44.6002914Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_312_binary_slice_with_graph_break1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2003s] [ 24%] 2025-12-04T16:31:44.6004443Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_312_binary_slice_with_graph_break2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2385s] [ 24%] 2025-12-04T16:31:44.6006361Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_RAISE_VARARGS_0_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] (Python 3.11+) [ 24%] 2025-12-04T16:31:44.6007818Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_T_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2120s] [ 24%] 2025-12-04T16:31:44.6009170Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_add_sizes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0941s] [ 24%] 2025-12-04T16:31:44.6010454Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_add_to_set_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1229s] [ 24%] 2025-12-04T16:31:44.6011998Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_anomaly_aot_autograd_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1045s] [ 25%] 2025-12-04T16:31:44.6013431Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_any_all_symnode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1982s] [ 25%] 2025-12-04T16:31:44.6014941Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_aot_autograd_propagate_unbacked_symints_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1857s] [ 25%] 2025-12-04T16:31:44.6016523Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_arange_length_with_float32_dtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1990s] [ 25%] 2025-12-04T16:31:44.6018075Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_argwhere_with_dynamic_shapes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.5092s] [ 25%] 2025-12-04T16:31:44.6019460Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assert_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1788s] [ 25%] 2025-12-04T16:31:44.6020802Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assert_size_stride_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0038s] [ 25%] 2025-12-04T16:31:44.6022288Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assigning_function_to_class_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1173s] [ 25%] 2025-12-04T16:31:44.6023864Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assigning_function_to_object_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0980s] [ 25%] 2025-12-04T16:31:44.6025377Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assume_32_bit_indexing_dynamic_shapes <- test/dynamo/test_misc.py PASSED [7.3218s] [ 25%] 2025-12-04T16:31:44.6026786Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backend_match_guard_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8586s] [ 25%] 2025-12-04T16:31:44.6028255Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backend_match_guard_multi_threads_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2746s] [ 25%] 2025-12-04T16:31:44.6029844Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backward_deterministic_mode_mismatch_warning_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1924s] [ 25%] 2025-12-04T16:31:44.6031328Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_boolarg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3699s] [ 25%] 2025-12-04T16:31:44.6032662Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_bound_shape_checks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2807s] [ 25%] 2025-12-04T16:31:44.6034098Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_build_tuple_unpack_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3433s] [ 25%] 2025-12-04T16:31:44.6035544Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builder_for_class_with_metaclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0931s] [ 25%] 2025-12-04T16:31:44.6036958Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_abs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3284s] [ 25%] 2025-12-04T16:31:44.6038333Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symbool_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0569s] [ 25%] 2025-12-04T16:31:44.6039765Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symfloat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0549s] [ 25%] 2025-12-04T16:31:44.6041189Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0545s] [ 26%] 2025-12-04T16:31:44.6042597Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_complex_args_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0878s] [ 26%] 2025-12-04T16:31:44.6043981Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_complex_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0681s] [ 26%] 2025-12-04T16:31:44.6045433Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0736s] [ 26%] 2025-12-04T16:31:44.6046902Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_str_on_user_defined_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0400s] [ 26%] 2025-12-04T16:31:44.6048465Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_subclasses_as_method_on_class_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0399s] [ 26%] 2025-12-04T16:31:44.6050040Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_subclasses_as_method_on_var_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0749s] [ 26%] 2025-12-04T16:31:44.6051755Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_call_parent_non_class_methods_from_child_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3212s] [ 26%] 2025-12-04T16:31:44.6053219Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_callpacked_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3307s] [ 26%] 2025-12-04T16:31:44.6054614Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cannot_trace_mark_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0143s] [ 26%] 2025-12-04T16:31:44.6056122Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cannot_trace_mark_dynamic_safe_unreached_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0988s] [ 26%] 2025-12-04T16:31:44.6057556Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cast_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0948s] [ 26%] 2025-12-04T16:31:44.6058858Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cat_unbacked_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1307s] [ 26%] 2025-12-04T16:31:44.6060221Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_catch_watchings1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0738s] [ 26%] 2025-12-04T16:31:44.6061586Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_catch_watchings2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0735s] [ 26%] 2025-12-04T16:31:44.6063106Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_captured_by_existing_func_but_not_root_frame_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7304s] [ 26%] 2025-12-04T16:31:44.6064605Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_output1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0540s] [ 26%] 2025-12-04T16:31:44.6065938Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_output2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0980s] [ 26%] 2025-12-04T16:31:44.6067591Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_assert_error_at_runtime_when_predicate_false_and_message_has_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0317s] [ 26%] 2025-12-04T16:31:44.6069485Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_assert_error_at_runtime_when_predicate_true_and_message_has_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0309s] [ 27%] 2025-12-04T16:31:44.6071288Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0905s] [ 27%] 2025-12-04T16:31:44.6073018Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_has_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0887s] [ 27%] 2025-12-04T16:31:44.6074786Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0893s] [ 27%] 2025-12-04T16:31:44.6076583Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_constant_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0885s] [ 27%] 2025-12-04T16:31:44.6078463Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_constant_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0847s] [ 27%] 2025-12-04T16:31:44.6080289Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0416s] [ 27%] 2025-12-04T16:31:44.6082095Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_has_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0406s] [ 27%] 2025-12-04T16:31:44.6083978Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0403s] [ 27%] 2025-12-04T16:31:44.6085848Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_constant_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0397s] [ 27%] 2025-12-04T16:31:44.6087749Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_constant_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0398s] [ 27%] 2025-12-04T16:31:44.6089441Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_simplification_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1506s] [ 27%] 2025-12-04T16:31:44.6090816Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_binop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1084s] [ 27%] 2025-12-04T16:31:44.6092437Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_duner_flags_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1896s] [ 27%] 2025-12-04T16:31:44.6094093Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_duner_mro_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0979s] [ 27%] 2025-12-04T16:31:44.6095539Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_has_instancecheck_method_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0741s] [ 27%] 2025-12-04T16:31:44.6097001Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_clone_sparse_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1858s] [ 27%] 2025-12-04T16:31:44.6098415Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1070s] [ 27%] 2025-12-04T16:31:44.6099892Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_with_cond_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5048s] [ 27%] 2025-12-04T16:31:44.6101478Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_with_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3203s] [ 27%] 2025-12-04T16:31:44.6102964Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_recompiles_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2422s] [ 28%] 2025-12-04T16:31:44.6104611Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_with_mutation_and_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1015s] [ 28%] 2025-12-04T16:31:44.6106153Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_write_across_functions_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0547s] [ 28%] 2025-12-04T16:31:44.6107588Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3184s] [ 28%] 2025-12-04T16:31:44.6108973Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_neq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3228s] [ 28%] 2025-12-04T16:31:44.6110385Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_tuple_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1973s] [ 28%] 2025-12-04T16:31:44.6112021Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_tuple_neq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2076s] [ 28%] 2025-12-04T16:31:44.6113541Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_with_constant_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2329s] [ 28%] 2025-12-04T16:31:44.6114999Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_tensor_with_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0245s] [ 28%] 2025-12-04T16:31:44.6116475Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compilation_metrics_size_limit_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8344s] [ 28%] 2025-12-04T16:31:44.6118017Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compiled_class_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1416s] [ 28%] 2025-12-04T16:31:44.6119377Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1173s] [ 28%] 2025-12-04T16:31:44.6120654Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_export_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1804s] [ 28%] 2025-12-04T16:31:44.6122030Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_export_single_arg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1176s] [ 28%] 2025-12-04T16:31:44.6123397Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_nested_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1754s] [ 28%] 2025-12-04T16:31:44.6124817Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_runtime_assert_generation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7094s] [ 28%] 2025-12-04T16:31:44.6126249Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_side_effects_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1176s] [ 28%] 2025-12-04T16:31:44.6127655Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_with_quantization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5764s] [ 28%] 2025-12-04T16:31:44.6129138Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_conditional_list_comp_in_context_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1953s] [ 28%] 2025-12-04T16:31:44.6130619Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_config_getattr_default_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1952s] [ 28%] 2025-12-04T16:31:44.6132112Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_config_obj_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2476s] [ 29%] 2025-12-04T16:31:44.6133505Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_const_dict_variable_python_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0038s] [ 29%] 2025-12-04T16:31:44.6135025Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_constant_getattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0109s] [ 29%] 2025-12-04T16:31:44.6136455Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_constant_hasattr_returns_bool_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0372s] [ 29%] 2025-12-04T16:31:44.6138210Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_fancy_ctor1_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] (https://github.com/pytorch/pytorch/issues/99726) [ 29%] 2025-12-04T16:31:44.6139943Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_fancy_ctor2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3869s] [ 29%] 2025-12-04T16:31:44.6141446Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_simple_ctor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3331s] [ 29%] 2025-12-04T16:31:44.6142856Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_custom_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0933s] [ 29%] 2025-12-04T16:31:44.6144213Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_custom_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2056s] [ 29%] 2025-12-04T16:31:44.6145712Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_access_in_inference_mode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1462s] [ 29%] 2025-12-04T16:31:44.6147163Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_ptr_graph_break_aten_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0664s] [ 29%] 2025-12-04T16:31:44.6148626Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_ptr_graph_break_builtin_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0825s] [ 29%] 2025-12-04T16:31:44.6150024Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0623s] [ 29%] 2025-12-04T16:31:44.6151412Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_fields_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2304s] [ 29%] 2025-12-04T16:31:44.6152815Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_local_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0806s] [ 29%] 2025-12-04T16:31:44.6154268Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_default_args_device_dtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0447s] [ 29%] 2025-12-04T16:31:44.6155698Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_default_dtype_change_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2022s] [ 29%] 2025-12-04T16:31:44.6157080Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_defaultdict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0892s] [ 29%] 2025-12-04T16:31:44.6158429Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deque_append_left_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1217s] [ 29%] 2025-12-04T16:31:44.6159776Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deque_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1392s] [ 29%] 2025-12-04T16:31:44.6161137Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_derpy_nn_module_usage_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1273s] [ 30%] 2025-12-04T16:31:44.6162515Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1462s] [ 30%] 2025-12-04T16:31:44.6163900Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_descriptor_side_effect_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0737s] [ 30%] 2025-12-04T16:31:44.6165380Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deterministic_algorithms_mutated_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0708s] [ 30%] 2025-12-04T16:31:44.6166819Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dictcomp_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0621s] [ 30%] 2025-12-04T16:31:44.6168149Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dim_order_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5844s] [ 30%] 2025-12-04T16:31:44.6169463Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_disable_flag_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0041s] [ 30%] 2025-12-04T16:31:44.6170833Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dtypes_no_graphbreaks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3725s] [ 30%] 2025-12-04T16:31:44.6172341Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_methods_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2174s] [ 30%] 2025-12-04T16:31:44.6173761Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0740s] [ 30%] 2025-12-04T16:31:44.6175265Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0777s] [ 30%] 2025-12-04T16:31:44.6176774Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0834s] [ 30%] 2025-12-04T16:31:44.6178299Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining4_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0857s] [ 30%] 2025-12-04T16:31:44.6179826Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1638s] [ 30%] 2025-12-04T16:31:44.6181241Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_weakref_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0708s] [ 30%] 2025-12-04T16:31:44.6182646Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_duplicate_graph_break_log_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9888s] [ 30%] 2025-12-04T16:31:44.6184075Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_one_hot_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1849s] [ 30%] 2025-12-04T16:31:44.6185474Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_shapes_as_strided_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1470s] [ 30%] 2025-12-04T16:31:44.6186969Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_dynamic_override_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0772s] [ 30%] 2025-12-04T16:31:44.6188529Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_dynamic_override_regex_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0780s] [ 31%] 2025-12-04T16:31:44.6190315Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_force_parameter_static_shapes_and_property_static_shapes_override_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2951s] [ 31%] 2025-12-04T16:31:44.6192064Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1615s] [ 31%] 2025-12-04T16:31:44.6193502Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_int_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0469s] [ 31%] 2025-12-04T16:31:44.6195067Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_precedence_over_int_specialization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1190s] [ 31%] 2025-12-04T16:31:44.6196648Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0710s] [ 31%] 2025-12-04T16:31:44.6198078Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_cache_invalidate_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2589s] [ 31%] 2025-12-04T16:31:44.6199526Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_cache_move_to_front_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1402s] [ 31%] 2025-12-04T16:31:44.6201083Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_compiling_fake_tensor_to_vararg_int_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1413s] [ 31%] 2025-12-04T16:31:44.6202668Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_disabled_in_custom_op_kernels_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1384s] [ 31%] 2025-12-04T16:31:44.6204162Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_inside_custom_op_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2687s] [ 31%] 2025-12-04T16:31:44.6205772Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_min_operator_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0678s] [ 31%] 2025-12-04T16:31:44.6207248Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_reset_clears_cache_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0938s] [ 31%] 2025-12-04T16:31:44.6208637Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_empty_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1845s] [ 31%] 2025-12-04T16:31:44.6209978Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_as_dict_key_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2064s] [ 31%] 2025-12-04T16:31:44.6211582Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_as_dict_key_with_overloaded_str_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1981s] [ 31%] 2025-12-04T16:31:44.6213062Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_guards_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0727s] [ 31%] 2025-12-04T16:31:44.6214386Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_method_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7155s] [ 31%] 2025-12-04T16:31:44.6215747Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_no_graphbreaks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0980s] [ 31%] 2025-12-04T16:31:44.6217157Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_subclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0752s] [ 31%] 2025-12-04T16:31:44.6218541Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_error_on_nested_fx_trace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1003s] [ 32%] 2025-12-04T16:31:44.6219952Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_error_on_recompile_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1275s] [ 32%] 2025-12-04T16:31:44.6221437Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_escaping_closure_var_with_backward_hook_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0818s] [ 32%] 2025-12-04T16:31:44.6223021Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_escaping_closure_var_with_nonlocal_var_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0815s] [ 32%] 2025-12-04T16:31:44.6224630Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_existing_func_that_creates_capturing_nested_func_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0555s] [ 32%] 2025-12-04T16:31:44.6226238Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fail_on_recompile_error_message_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0057s] [ 32%] 2025-12-04T16:31:44.6227714Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_flat_name_to_original_fqn_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1763s] [ 32%] 2025-12-04T16:31:44.6229211Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_float_speculation_log_divergence_dynamic_shapes <- test/dynamo/test_misc.py PASSED [23.8237s] [ 32%] 2025-12-04T16:31:44.6230660Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0358s] [ 32%] 2025-12-04T16:31:44.6232028Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0363s] [ 32%] 2025-12-04T16:31:44.6233442Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0463s] [ 32%] 2025-12-04T16:31:44.6234750Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fold_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0935s] [ 32%] 2025-12-04T16:31:44.6236136Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_free_var_and_local_name_collision_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0556s] [ 32%] 2025-12-04T16:31:44.6237620Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_attr_access_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1551s] [ 32%] 2025-12-04T16:31:44.6239136Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_default_factory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9974s] [ 32%] 2025-12-04T16:31:44.6240659Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_default_value_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0765s] [ 32%] 2025-12-04T16:31:44.6242154Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_hashable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0842s] [ 32%] 2025-12-04T16:31:44.6243591Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_kw_only_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0616s] [ 32%] 2025-12-04T16:31:44.6245031Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0793s] [ 32%] 2025-12-04T16:31:44.6246418Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozenset_of_non_literals_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0150s] [ 32%] 2025-12-04T16:31:44.6247895Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozenset_torch_func_contains_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0993s] [ 33%] 2025-12-04T16:31:44.6249337Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fullgraph_capture_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1093s] [ 33%] 2025-12-04T16:31:44.6250746Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_funcname_cache_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0041s] [ 33%] 2025-12-04T16:31:44.6252237Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_function_annotation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1340s] [ 33%] 2025-12-04T16:31:44.6253721Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_function_generic_alias_annotation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1362s] [ 33%] 2025-12-04T16:31:44.6255333Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_generate_tensor_from_list_of_numpy_primitive_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7774s] [ 33%] 2025-12-04T16:31:44.6256915Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_generate_trivial_abstract_impl_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0963s] [ 33%] 2025-12-04T16:31:44.6258364Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_attr_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0660s] [ 33%] 2025-12-04T16:31:44.6259726Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_cache_entry_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.8609s] [ 33%] 2025-12-04T16:31:44.6261139Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_custom_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0895s] [ 33%] 2025-12-04T16:31:44.6262604Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_instruction_source_311_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] [ 33%] 2025-12-04T16:31:44.6264005Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getattr_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0784s] [ 33%] 2025-12-04T16:31:44.6265458Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getattrvariable_as_python_constant_dynamic_shapes <- test/dynamo/test_misc.py PASSED [6.8174s] [ 33%] 2025-12-04T16:31:44.6266977Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getset_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1030s] [ 33%] 2025-12-04T16:31:44.6268434Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_global_state_guard_serialization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0043s] [ 33%] 2025-12-04T16:31:44.6269820Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2601s] [ 33%] 2025-12-04T16:31:44.6271113Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_non_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1492s] [ 33%] 2025-12-04T16:31:44.6272422Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1340s] [ 33%] 2025-12-04T16:31:44.6273760Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_state_mutated_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0752s] [ 33%] 2025-12-04T16:31:44.6275221Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_compilation_metrics_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3501s] [ 33%] 2025-12-04T16:31:44.6276826Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_compilation_metrics_on_failure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0688s] [ 34%] 2025-12-04T16:31:44.6278609Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_correctly_when_passing_numpy_ndarray_to_torch_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4788s] [ 34%] 2025-12-04T16:31:44.6280230Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1071s] [ 34%] 2025-12-04T16:31:44.6281597Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1207s] [ 34%] 2025-12-04T16:31:44.6283049Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_shape_control_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2125s] [ 34%] 2025-12-04T16:31:44.6284539Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_tensor_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3815s] [ 34%] 2025-12-04T16:31:44.6285972Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_id_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0871s] [ 34%] 2025-12-04T16:31:44.6287385Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_is_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9957s] [ 34%] 2025-12-04T16:31:44.6288843Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_name_and_value_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1749s] [ 34%] 2025-12-04T16:31:44.6290289Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_globals_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.6879s] [ 34%] 2025-12-04T16:31:44.6291834Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_inbuilt_nn_modules_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.4337s] [ 34%] 2025-12-04T16:31:44.6293302Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_nn_modules_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.5210s] [ 34%] 2025-12-04T16:31:44.6294711Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_tensors_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.3064s] [ 34%] 2025-12-04T16:31:44.6296151Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_function_builder_with_cse_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0067s] [ 34%] 2025-12-04T16:31:44.6297641Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_size_oblivious_backed_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1134s] [ 34%] 2025-12-04T16:31:44.6299083Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_string_escaped_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0804s] [ 34%] 2025-12-04T16:31:44.6300568Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_sym_node_fstring_when_used_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2173s] [ 34%] 2025-12-04T16:31:44.6302027Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_cse_pass_multiple_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0069s] [ 34%] 2025-12-04T16:31:44.6303454Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_cse_pass_single_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0070s] [ 34%] 2025-12-04T16:31:44.6305064Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_strip_function_call_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0035s] [ 35%] 2025-12-04T16:31:44.6306510Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hasattr_nn_module_guard_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1136s] [ 35%] 2025-12-04T16:31:44.6307905Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hash_getitem_slice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0035s] [ 35%] 2025-12-04T16:31:44.6309238Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hash_hop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9370s] [ 35%] 2025-12-04T16:31:44.6310656Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1512s] [ 35%] 2025-12-04T16:31:44.6312020Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_module_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1830s] [ 35%] 2025-12-04T16:31:44.6313383Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_object_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1713s] [ 35%] 2025-12-04T16:31:44.6314718Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_of_nn_module_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1324s] [ 35%] 2025-12-04T16:31:44.6316070Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2226s] [ 35%] 2025-12-04T16:31:44.6317377Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1853s] [ 35%] 2025-12-04T16:31:44.6318712Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0773s] [ 35%] 2025-12-04T16:31:44.6320027Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1059s] [ 35%] 2025-12-04T16:31:44.6321421Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0154s] [ 35%] 2025-12-04T16:31:44.6322885Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2110s] [ 35%] 2025-12-04T16:31:44.6324345Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2778s] [ 35%] 2025-12-04T16:31:44.6325794Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_infer_unbacked_size_gt_zero_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0732s] [ 35%] 2025-12-04T16:31:44.6327199Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inference_mode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1085s] [ 35%] 2025-12-04T16:31:44.6328577Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inference_mode_param_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0932s] [ 35%] 2025-12-04T16:31:44.6330050Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_closure_not_loaded_by_parent_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0755s] [ 35%] 2025-12-04T16:31:44.6331819Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_closure_returned_by_another_function_and_captures_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7344s] [ 35%] 2025-12-04T16:31:44.6333441Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7306s] [ 36%] 2025-12-04T16:31:44.6334904Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_function_passed_as_arg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.1125s] [ 36%] 2025-12-04T16:31:44.6336363Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0495s] [ 36%] 2025-12-04T16:31:44.6337829Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_func_jump_on_tensor_condition_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1974s] [ 36%] 2025-12-04T16:31:44.6339292Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_list_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0475s] [ 36%] 2025-12-04T16:31:44.6340706Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_local_dict_clear_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0927s] [ 36%] 2025-12-04T16:31:44.6342154Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_module_attr_dict_clear_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0945s] [ 36%] 2025-12-04T16:31:44.6343712Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_user_defined_dict_attr_clear_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1085s] [ 36%] 2025-12-04T16:31:44.6345183Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_desugaring_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1056s] [ 36%] 2025-12-04T16:31:44.6346512Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1075s] [ 36%] 2025-12-04T16:31:44.6347899Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_param_update_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0809s] [ 36%] 2025-12-04T16:31:44.6349331Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_view_on_graph_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.5921s] [ 36%] 2025-12-04T16:31:44.6350763Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_input_cell_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0824s] [ 36%] 2025-12-04T16:31:44.6352158Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_bind_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4033s] [ 36%] 2025-12-04T16:31:44.6353670Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_bind_non_user_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3813s] [ 36%] 2025-12-04T16:31:44.6355223Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_parameters_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1608s] [ 36%] 2025-12-04T16:31:44.6356675Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_int_comparisons_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0914s] [ 36%] 2025-12-04T16:31:44.6358009Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0950s] [ 36%] 2025-12-04T16:31:44.6359269Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_neg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1404s] [ 36%] 2025-12-04T16:31:44.6360588Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6425s] [ 36%] 2025-12-04T16:31:44.6361985Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_comparisons_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0957s] [ 37%] 2025-12-04T16:31:44.6363412Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_inplace_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1069s] [ 37%] 2025-12-04T16:31:44.6364917Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_intermediary_tensor_grad_access_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0975s] [ 37%] 2025-12-04T16:31:44.6366382Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_invalid_args_builtin_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0981s] [ 37%] 2025-12-04T16:31:44.6367751Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_compiling_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1691s] [ 37%] 2025-12-04T16:31:44.6369107Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_floating_point2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1447s] [ 37%] 2025-12-04T16:31:44.6370468Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_floating_point_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1441s] [ 37%] 2025-12-04T16:31:44.6371896Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1345s] [ 37%] 2025-12-04T16:31:44.6373201Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1448s] [ 37%] 2025-12-04T16:31:44.6374522Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_like2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0903s] [ 37%] 2025-12-04T16:31:44.6375956Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_like_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1179s] [ 37%] 2025-12-04T16:31:44.6377283Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_changes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1379s] [ 37%] 2025-12-04T16:31:44.6378642Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_changes_new_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1414s] [ 37%] 2025-12-04T16:31:44.6379975Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0700s] [ 37%] 2025-12-04T16:31:44.6381275Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iter_set_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1333s] [ 37%] 2025-12-04T16:31:44.6382549Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iter_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8268s] [ 37%] 2025-12-04T16:31:44.6383875Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iterator_limit_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.8878s] [ 37%] 2025-12-04T16:31:44.6385347Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_symint_default_sum_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0810s] [ 37%] 2025-12-04T16:31:44.6386956Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_builtins_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6560s] [ 37%] 2025-12-04T16:31:44.6388555Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_default_sum_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2026s] [ 37%] 2025-12-04T16:31:44.6390149Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_kwargs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6393s] [ 38%] 2025-12-04T16:31:44.6391755Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_user_defined_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5923s] [ 38%] 2025-12-04T16:31:44.6393421Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_groupby_pure_python_default_identify_func_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1695s] [ 38%] 2025-12-04T16:31:44.6395063Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_groupby_pure_python_key_func_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1693s] [ 38%] 2025-12-04T16:31:44.6396560Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_count_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2993s] [ 38%] 2025-12-04T16:31:44.6398053Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_cycle_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1201s] [ 38%] 2025-12-04T16:31:44.6399514Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_repeat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0783s] [ 38%] 2025-12-04T16:31:44.6401027Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_repeat_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0935s] [ 38%] 2025-12-04T16:31:44.6402538Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_default_end_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1079s] [ 38%] 2025-12-04T16:31:44.6404026Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_default_step_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1077s] [ 38%] 2025-12-04T16:31:44.6405675Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1060s] [ 38%] 2025-12-04T16:31:44.6407061Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_repeat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0753s] [ 38%] 2025-12-04T16:31:44.6408479Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_tee_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0839s] [ 38%] 2025-12-04T16:31:44.6409921Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_jacfwd_one_hot_dynamic_compile_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0698s] [ 38%] 2025-12-04T16:31:44.6411466Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_large_reduction_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0130s] [ 38%] 2025-12-04T16:31:44.6412860Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_linear_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.7537s] [ 38%] 2025-12-04T16:31:44.6414313Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_append_return_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0513s] [ 38%] 2025-12-04T16:31:44.6415668Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1417s] [ 38%] 2025-12-04T16:31:44.6416993Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_hasattr1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0724s] [ 38%] 2025-12-04T16:31:44.6418332Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_hasattr2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0461s] [ 38%] 2025-12-04T16:31:44.6419707Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iadd_side_effect_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0590s] [ 39%] 2025-12-04T16:31:44.6421089Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iadd_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1333s] [ 39%] 2025-12-04T16:31:44.6422506Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iterator_contains_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0711s] [ 39%] 2025-12-04T16:31:44.6423870Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_mul_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0564s] [ 39%] 2025-12-04T16:31:44.6425180Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_slice_mul_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0548s] [ 39%] 2025-12-04T16:31:44.6426506Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_listcomp_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0690s] [ 39%] 2025-12-04T16:31:44.6427883Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_load_fast_and_clear_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1022s] [ 39%] 2025-12-04T16:31:44.6429316Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mandelbrot_numpy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.3262s] [ 39%] 2025-12-04T16:31:44.6430724Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_map_side_effects_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1285s] [ 39%] 2025-12-04T16:31:44.6432116Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_map_with_quantization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7707s] [ 39%] 2025-12-04T16:31:44.6433541Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_dynamic_with_ranges_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0140s] [ 39%] 2025-12-04T16:31:44.6434914Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_static_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1133s] [ 39%] 2025-12-04T16:31:44.6436278Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_unbacked_strict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8299s] [ 39%] 2025-12-04T16:31:44.6437624Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_matmul1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0975s] [ 39%] 2025-12-04T16:31:44.6438966Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_min_max_over_iterable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2151s] [ 39%] 2025-12-04T16:31:44.6440367Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_complex_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0107s] [ 39%] 2025-12-04T16:31:44.6441804Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_deepcopy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3362s] [ 39%] 2025-12-04T16:31:44.6443184Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_not_callable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0671s] [ 39%] 2025-12-04T16:31:44.6444594Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mro_type_tensor_no_source_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1040s] [ 39%] 2025-12-04T16:31:44.6446008Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_multiple_inheritance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0802s] [ 40%] 2025-12-04T16:31:44.6447546Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mutable_mapping_multiple_inheritance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1157s] [ 40%] 2025-12-04T16:31:44.6449029Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_named_parameters_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2534s] [ 40%] 2025-12-04T16:31:44.6450394Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0583s] [ 40%] 2025-12-04T16:31:44.6451824Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0701s] [ 40%] 2025-12-04T16:31:44.6453164Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0946s] [ 40%] 2025-12-04T16:31:44.6454521Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1466s] [ 40%] 2025-12-04T16:31:44.6456003Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_source_dynamic_attributes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0604s] [ 40%] 2025-12-04T16:31:44.6457618Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_sourceless_dynamic_attributes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0502s] [ 40%] 2025-12-04T16:31:44.6459181Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_with_custom_getitem_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0825s] [ 40%] 2025-12-04T16:31:44.6460557Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nan_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0841s] [ 40%] 2025-12-04T16:31:44.6461909Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0613s] [ 40%] 2025-12-04T16:31:44.6463457Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_graphbreak_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1269s] [ 40%] 2025-12-04T16:31:44.6464956Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_ne_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0853s] [ 40%] 2025-12-04T16:31:44.6466363Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2284s] [ 40%] 2025-12-04T16:31:44.6467766Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_closure_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1516s] [ 40%] 2025-12-04T16:31:44.6469238Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_dataclass_reconstruct_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1124s] [ 40%] 2025-12-04T16:31:44.6470745Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_frozen_dataclass_hashable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1724s] [ 40%] 2025-12-04T16:31:44.6472341Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_function_resuming_with_correct_globals_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3128s] [ 40%] 2025-12-04T16:31:44.6473937Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_decorator_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2091s] [ 40%] 2025-12-04T16:31:44.6475386Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2625s] [ 41%] 2025-12-04T16:31:44.6476769Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_run_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3372s] [ 41%] 2025-12-04T16:31:44.6478175Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0543s] [ 41%] 2025-12-04T16:31:44.6479649Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_with_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0564s] [ 41%] 2025-12-04T16:31:44.6481173Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_with_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3175s] [ 41%] 2025-12-04T16:31:44.6482680Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_with_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0572s] [ 41%] 2025-12-04T16:31:44.6484052Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_wraps_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2441s] [ 41%] 2025-12-04T16:31:44.6485480Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nesteduserfunction_setattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0877s] [ 41%] 2025-12-04T16:31:44.6486910Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_new_with_int_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1402s] [ 41%] 2025-12-04T16:31:44.6488382Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_newly_constructed_tensor_attr_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0762s] [ 41%] 2025-12-04T16:31:44.6489903Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_functional_reduction_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0920s] [ 41%] 2025-12-04T16:31:44.6491374Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_module_getattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1596s] [ 41%] 2025-12-04T16:31:44.6492781Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_module_getattribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1282s] [ 41%] 2025-12-04T16:31:44.6494226Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_sequential_invocation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2215s] [ 41%] 2025-12-04T16:31:44.6495778Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_sequential_invocation_reposition_indices_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1694s] [ 41%] 2025-12-04T16:31:44.6497361Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_error_on_nested_fx_trace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1058s] [ 41%] 2025-12-04T16:31:44.6498856Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_guard_for_unused_sym_node_fstring_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1056s] [ 41%] 2025-12-04T16:31:44.6500459Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_raise_guard_partial_constraint_across_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6116s] [ 41%] 2025-12-04T16:31:44.6502057Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_raise_guard_partial_constraint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2593s] [ 41%] 2025-12-04T16:31:44.6503583Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_non_pt2_compliant_ops_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0541s] [ 41%] 2025-12-04T16:31:44.6505171Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_not_dynamic_scope_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0497s] [ 42%] 2025-12-04T16:31:44.6506498Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numel_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1122s] [ 42%] 2025-12-04T16:31:44.6507954Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_array_of_arrays_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2362s] [ 42%] 2025-12-04T16:31:44.6509342Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_as_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8933s] [ 42%] 2025-12-04T16:31:44.6510728Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_fallback_on_eager_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0427s] [ 42%] 2025-12-04T16:31:44.6512108Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_force_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1509s] [ 42%] 2025-12-04T16:31:44.6513459Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_gt_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8788s] [ 42%] 2025-12-04T16:31:44.6514794Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_int_constant_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1080s] [ 42%] 2025-12-04T16:31:44.6516133Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0862s] [ 42%] 2025-12-04T16:31:44.6517433Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_min_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0690s] [ 42%] 2025-12-04T16:31:44.6518824Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1981s] [ 42%] 2025-12-04T16:31:44.6520386Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_graph_break_with_multiple_outputs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3100s] [ 42%] 2025-12-04T16:31:44.6522029Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_works_with_builtin_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1014s] [ 42%] 2025-12-04T16:31:44.6523494Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_no_raise_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.0230s] [ 42%] 2025-12-04T16:31:44.6524874Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_non_torch_dtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0169s] [ 42%] 2025-12-04T16:31:44.6526319Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_random_config_to_numpy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0430s] [ 42%] 2025-12-04T16:31:44.6527742Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_readonly_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0644s] [ 42%] 2025-12-04T16:31:44.6529153Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_recompilation_scalar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0993s] [ 42%] 2025-12-04T16:31:44.6530619Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_size_attr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0855s] [ 42%] 2025-12-04T16:31:44.6532084Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_subdtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0769s] [ 42%] 2025-12-04T16:31:44.6533469Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_take_along_axis_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2299s] [ 43%] 2025-12-04T16:31:44.6534846Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_tolist_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1247s] [ 43%] 2025-12-04T16:31:44.6536218Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_torch_operators_dynamic_shapes <- test/dynamo/test_misc.py PASSED [6.1401s] [ 43%] 2025-12-04T16:31:44.6537615Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ufunc_out_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0486s] [ 43%] 2025-12-04T16:31:44.6539020Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ufunc_out_graph_break_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.1195s] [ 43%] 2025-12-04T16:31:44.6540481Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_unique_f16_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0534s] [ 43%] 2025-12-04T16:31:44.6541920Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_variable_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1142s] [ 43%] 2025-12-04T16:31:44.6543372Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_with_builtin_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1083s] [ 43%] 2025-12-04T16:31:44.6544793Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_classmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0450s] [ 43%] 2025-12-04T16:31:44.6546212Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_setattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2511s] [ 43%] 2025-12-04T16:31:44.6547591Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_staticmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0436s] [ 43%] 2025-12-04T16:31:44.6549004Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_onnx_shape_as_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2861s] [ 43%] 2025-12-04T16:31:44.6550408Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_optimize_on_module_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0988s] [ 43%] 2025-12-04T16:31:44.6551873Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ordered_dict_alias_reconstruct_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1050s] [ 43%] 2025-12-04T16:31:44.6553345Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ordered_dict_move_to_end_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0871s] [ 43%] 2025-12-04T16:31:44.6554727Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_os_environ_get_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1921s] [ 43%] 2025-12-04T16:31:44.6556125Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_os_environ_set_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2142s] [ 43%] 2025-12-04T16:31:44.6557566Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variant_custom_op_dynamic_shapes <- test/dynamo/test_misc.py PASSED [18.0159s] [ 43%] 2025-12-04T16:31:44.6559091Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1649s] [ 43%] 2025-12-04T16:31:44.6560762Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_with_dynamic1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4624s] [ 44%] 2025-12-04T16:31:44.6562544Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_with_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3586s] [ 44%] 2025-12-04T16:31:44.6564143Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_outside_linear_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.7728s] [ 44%] 2025-12-04T16:31:44.6565612Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_overridden_getattribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1338s] [ 44%] 2025-12-04T16:31:44.6567075Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_packaging_version_parse_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0945s] [ 44%] 2025-12-04T16:31:44.6568414Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pair_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1311s] [ 44%] 2025-12-04T16:31:44.6569743Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_param_shape_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6721s] [ 44%] 2025-12-04T16:31:44.6571209Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_parameter_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.6777s] [ 44%] 2025-12-04T16:31:44.6572631Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_patched_builtin_functions_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2007s] [ 44%] 2025-12-04T16:31:44.6574174Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pep0479_convert_stopiteration_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0627s] [ 44%] 2025-12-04T16:31:44.6575634Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entries_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9551s] [ 44%] 2025-12-04T16:31:44.6577037Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entry_hit_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9467s] [ 44%] 2025-12-04T16:31:44.6578450Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entry_miss_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9451s] [ 44%] 2025-12-04T16:31:44.6579927Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_fail_on_recompile_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0062s] [ 44%] 2025-12-04T16:31:44.6581397Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_proxy_frozen_dataclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9813s] [ 44%] 2025-12-04T16:31:44.6582867Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pt2_compliant_ops_are_allowed_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0752s] [ 44%] 2025-12-04T16:31:44.6584326Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pt2_compliant_overload_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1284s] [ 44%] 2025-12-04T16:31:44.6585757Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pure_python_accumulate_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0859s] [ 44%] 2025-12-04T16:31:44.6587173Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_py_guards_mark_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7221s] [ 44%] 2025-12-04T16:31:44.6588551Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_python_slice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1935s] [ 44%] 2025-12-04T16:31:44.6589965Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_full_constraint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1117s] [ 45%] 2025-12-04T16:31:44.6591495Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_indirect_full_constraint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1025s] [ 45%] 2025-12-04T16:31:44.6593076Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_partial_constraint_across_break_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.2789s] [ 45%] 2025-12-04T16:31:44.6594710Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_partial_constraint_no_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1227s] [ 45%] 2025-12-04T16:31:44.6596281Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_on_backend_error_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0840s] [ 45%] 2025-12-04T16:31:44.6597630Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2665s] [ 45%] 2025-12-04T16:31:44.6598977Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_importerror1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0162s] [ 45%] 2025-12-04T16:31:44.6600378Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_importerror2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0148s] [ 45%] 2025-12-04T16:31:44.6601750Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range___iter___dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0732s] [ 45%] 2025-12-04T16:31:44.6603075Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1230s] [ 45%] 2025-12-04T16:31:44.6604423Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_iter_guards_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.6445s] [ 45%] 2025-12-04T16:31:44.6606018Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_iter_side_effects_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0524s] [ 45%] 2025-12-04T16:31:44.6607466Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0932s] [ 45%] 2025-12-04T16:31:44.6608897Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_real_imag_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2739s] [ 45%] 2025-12-04T16:31:44.6610393Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_message_on_parameter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1781s] [ 45%] 2025-12-04T16:31:44.6612046Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_disable_1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2254s] [ 45%] 2025-12-04T16:31:44.6613460Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_disable_2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0038s] [ 45%] 2025-12-04T16:31:44.6614944Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_global_state_change_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2185s] [ 45%] 2025-12-04T16:31:44.6616470Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_reconstruct_frozen_dataclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1618s] [ 45%] 2025-12-04T16:31:44.6617995Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_reconstruct_set_across_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1700s] [ 45%] 2025-12-04T16:31:44.6619477Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursion_depth_guards_dynamic_shapes <- test/dynamo/test_misc.py PASSED [34.9098s] [ 46%] 2025-12-04T16:31:44.6620969Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursive_inline_list_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0540s] [ 46%] 2025-12-04T16:31:44.6622470Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursive_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3471s] [ 46%] 2025-12-04T16:31:44.6623923Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_input_memory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0724s] [ 46%] 2025-12-04T16:31:44.6625324Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_module_memory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1168s] [ 46%] 2025-12-04T16:31:44.6626740Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_scope_memory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0260s] [ 46%] 2025-12-04T16:31:44.6628099Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_remove_set_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0695s] [ 46%] 2025-12-04T16:31:44.6629587Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repeat_interleave_graphbreaks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6463s] [ 46%] 2025-12-04T16:31:44.6631081Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_config_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1156s] [ 46%] 2025-12-04T16:31:44.6632549Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_input_mut_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2239s] [ 46%] 2025-12-04T16:31:44.6634041Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_model_attr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.5815s] [ 46%] 2025-12-04T16:31:44.6635415Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8923s] [ 46%] 2025-12-04T16:31:44.6636821Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repro_graph_breaks_in__get_item_by_idx_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1144s] [ 46%] 2025-12-04T16:31:44.6638286Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_restore_graphstate_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3319s] [ 46%] 2025-12-04T16:31:44.6639834Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_return_dict_with_graph_break_and_update_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1190s] [ 46%] 2025-12-04T16:31:44.6641336Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_return_nested_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1298s] [ 46%] 2025-12-04T16:31:44.6642870Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_returning_func_with_captured_func_and_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0430s] [ 46%] 2025-12-04T16:31:44.6644506Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_returning_nested_func_with_captured_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0421s] [ 46%] 2025-12-04T16:31:44.6646138Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_running_func_with_captured_func_and_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0415s] [ 46%] 2025-12-04T16:31:44.6647741Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_running_nested_func_with_captured_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0420s] [ 46%] 2025-12-04T16:31:44.6649284Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_runtime_assert_replacement_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0949s] [ 47%] 2025-12-04T16:31:44.6650697Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sample_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0760s] [ 47%] 2025-12-04T16:31:44.6652286Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_device_movement_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0034s] (Doesn't work with symints) [ 47%] 2025-12-04T16:31:44.6653979Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_int_list_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1966s] [ 47%] 2025-12-04T16:31:44.6655644Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_symint_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8068s] [ 47%] 2025-12-04T16:31:44.6657326Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_symint_list_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2849s] [ 47%] 2025-12-04T16:31:44.6658899Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sequential_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.4206s] [ 47%] 2025-12-04T16:31:44.6660332Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_aliasing_recompiles_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4975s] [ 47%] 2025-12-04T16:31:44.6661832Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_custom_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0919s] [ 47%] 2025-12-04T16:31:44.6663252Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0825s] [ 47%] 2025-12-04T16:31:44.6664594Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_discard_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0759s] [ 47%] 2025-12-04T16:31:44.6665899Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_update_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1129s] [ 47%] 2025-12-04T16:31:44.6667249Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1639s] [ 47%] 2025-12-04T16:31:44.6668635Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1315s] [ 47%] 2025-12-04T16:31:44.6670031Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1342s] [ 47%] 2025-12-04T16:31:44.6671454Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_and_tuple_equality_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2229s] [ 47%] 2025-12-04T16:31:44.6672950Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_constructor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0040s] [ 47%] 2025-12-04T16:31:44.6674578Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_create_symbolic_sizes_strides_storage_offset_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0229s] [ 47%] 2025-12-04T16:31:44.6676181Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_empty_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0034s] [ 47%] 2025-12-04T16:31:44.6677677Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_divisible_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0312s] [ 48%] 2025-12-04T16:31:44.6679290Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_refinement_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0251s] [ 48%] 2025-12-04T16:31:44.6680917Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_replacement_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0298s] [ 48%] 2025-12-04T16:31:44.6682487Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_runtime_assert_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0131s] [ 48%] 2025-12-04T16:31:44.6683957Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_unbacked_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0095s] [ 48%] 2025-12-04T16:31:44.6685395Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_no_recording_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0118s] [ 48%] 2025-12-04T16:31:44.6686893Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_recorded_function_fallback_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0031s] [ 48%] 2025-12-04T16:31:44.6688400Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_int_comparisons_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0975s] [ 48%] 2025-12-04T16:31:44.6689846Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_int_inplace_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1030s] [ 48%] 2025-12-04T16:31:44.6691333Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0460s] [ 48%] 2025-12-04T16:31:44.6692651Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_unpack_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0979s] [ 48%] 2025-12-04T16:31:44.6694228Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_side_effects_codegen_update_mutated_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6686s] [ 48%] 2025-12-04T16:31:44.6695742Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_simple_set_usage_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1132s] [ 48%] 2025-12-04T16:31:44.6697072Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_size_dim_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1985s] [ 48%] 2025-12-04T16:31:44.6698385Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_size_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3003s] [ 48%] 2025-12-04T16:31:44.6699690Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_slice_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2744s] [ 48%] 2025-12-04T16:31:44.6701093Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_source_non_input_grad_access_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1047s] [ 48%] 2025-12-04T16:31:44.6702554Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sourceless_namedtuple_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0678s] [ 48%] 2025-12-04T16:31:44.6704060Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sparse_output_inductor_should_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1554s] [ 48%] 2025-12-04T16:31:44.6705709Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_storage_return_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0884s] [ 48%] 2025-12-04T16:31:44.6707091Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str___iter___dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0678s] [ 49%] 2025-12-04T16:31:44.6708449Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_assert1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1896s] [ 49%] 2025-12-04T16:31:44.6709833Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_assert2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4762s] [ 49%] 2025-12-04T16:31:44.6711250Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_return1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1571s] [ 49%] 2025-12-04T16:31:44.6712645Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_return2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1567s] [ 49%] 2025-12-04T16:31:44.6714007Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_stride_dim_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1846s] [ 49%] 2025-12-04T16:31:44.6715328Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_structseq1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0940s] [ 49%] 2025-12-04T16:31:44.6716652Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_structseq2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1503s] [ 49%] 2025-12-04T16:31:44.6718027Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_super_after_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3777s] [ 49%] 2025-12-04T16:31:44.6719491Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_super_calling_with_metaclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2706s] [ 49%] 2025-12-04T16:31:44.6720899Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sym_and_terms_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1526s] [ 49%] 2025-12-04T16:31:44.6722399Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sym_constrain_range_on_replaced_unbacked_symbol_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9770s] [ 49%] 2025-12-04T16:31:44.6724072Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_as_device_kwarg_multi_gpu_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] (need multiple GPU) [ 49%] 2025-12-04T16:31:44.6725719Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_as_device_kwarg_non_strict_export_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0476s] [ 49%] 2025-12-04T16:31:44.6727271Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_copy_into_unbacked_slice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.4022s] [ 49%] 2025-12-04T16:31:44.6728866Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_fold_nontrivial_product_modulo_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8070s] [ 49%] 2025-12-04T16:31:44.6730318Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sys_modules_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4795s] [ 49%] 2025-12-04T16:31:44.6731880Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tagging_tensors_mix_used_unused_structure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2581s] [ 49%] 2025-12-04T16:31:44.6733406Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tagging_tensors_simple_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1022s] [ 49%] 2025-12-04T16:31:44.6734796Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor__iter___dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1305s] [ 49%] 2025-12-04T16:31:44.6736184Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_build_list_unpack_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1804s] [ 50%] 2025-12-04T16:31:44.6737630Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_ctor_list_of_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0616s] [ 50%] 2025-12-04T16:31:44.6739057Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_data_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1123s] [ 50%] 2025-12-04T16:31:44.6740413Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0633s] [ 50%] 2025-12-04T16:31:44.6741743Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1788s] [ 50%] 2025-12-04T16:31:44.6743066Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0692s] [ 50%] 2025-12-04T16:31:44.6744525Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dot_grad_no_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3003s] [ 50%] 2025-12-04T16:31:44.6745984Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dynamic_method_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7619s] [ 50%] 2025-12-04T16:31:44.6747383Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.8456s] [ 50%] 2025-12-04T16:31:44.6748842Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_interacts_with_numpy_ndarray_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4194s] [ 50%] 2025-12-04T16:31:44.6750314Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_is_contiguous_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1006s] [ 50%] 2025-12-04T16:31:44.6751724Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_item_capture_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1287s] [ 50%] 2025-12-04T16:31:44.6753140Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_item_no_capture_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1619s] [ 50%] 2025-12-04T16:31:44.6754506Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1259s] [ 50%] 2025-12-04T16:31:44.6755834Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_layout_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0875s] [ 50%] 2025-12-04T16:31:44.6757275Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_setattr_getset_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1335s] [ 50%] 2025-12-04T16:31:44.6758719Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_types_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3367s] [ 50%] 2025-12-04T16:31:44.6760094Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_thread_local_setattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9257s] [ 50%] 2025-12-04T16:31:44.6761471Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_0d_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0542s] [ 50%] 2025-12-04T16:31:44.6762924Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_1d_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0970s] [ 50%] 2025-12-04T16:31:44.6764220Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.8825s] [ 51%] 2025-12-04T16:31:44.6765522Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_float_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1046s] [ 51%] 2025-12-04T16:31:44.6766876Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_kd_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4814s] [ 51%] 2025-12-04T16:31:44.6768206Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_kd_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3604s] [ 51%] 2025-12-04T16:31:44.6769531Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_scalar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0589s] [ 51%] 2025-12-04T16:31:44.6770897Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_top_package_import_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1035s] [ 51%] 2025-12-04T16:31:44.6772418Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0815s] [ 51%] 2025-12-04T16:31:44.6773955Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_nonnegative_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0198s] [ 51%] 2025-12-04T16:31:44.6775435Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_symbolic_shape_rel_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0814s] [ 51%] 2025-12-04T16:31:44.6776996Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_compile_ctx_on_forward_and_training_step_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0256s] [ 51%] 2025-12-04T16:31:44.6778643Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_distributions_lazy_property_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4805s] [ 51%] 2025-12-04T16:31:44.6780119Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_dtype_python_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0736s] [ 51%] 2025-12-04T16:31:44.6781555Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_dynamo_codegen_pow_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8810s] [ 51%] 2025-12-04T16:31:44.6783000Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_generator_set_state_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2567s] [ 51%] 2025-12-04T16:31:44.6784563Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_guards_stack_frame_register_inlining_deep_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2632s] [ 51%] 2025-12-04T16:31:44.6786203Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_guards_stack_frame_register_inlining_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2425s] [ 51%] 2025-12-04T16:31:44.6787757Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_nn_parameter_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1110s] [ 51%] 2025-12-04T16:31:44.6789219Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_objects_as_keys_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0453s] [ 51%] 2025-12-04T16:31:44.6790698Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_package_working_with_trace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2010s] [ 51%] 2025-12-04T16:31:44.6792122Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_seed_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0691s] [ 51%] 2025-12-04T16:31:44.6793428Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0936s] [ 52%] 2025-12-04T16:31:44.6794851Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_numel_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0868s] [ 52%] 2025-12-04T16:31:44.6796260Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_numel_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0396s] [ 52%] 2025-12-04T16:31:44.6797661Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_variable_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0953s] [ 52%] 2025-12-04T16:31:44.6799075Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_trace_ndarray_frame_2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1359s] [ 52%] 2025-12-04T16:31:44.6800466Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_trace_ndarray_frame_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1768s] [ 52%] 2025-12-04T16:31:44.6801921Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tracing_nested_py_tree_mixed_all_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2272s] [ 52%] 2025-12-04T16:31:44.6803339Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1396s] [ 52%] 2025-12-04T16:31:44.6804916Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_from_tuple_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4056s] [ 52%] 2025-12-04T16:31:44.6806328Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0759s] [ 52%] 2025-12-04T16:31:44.6807716Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_iadd_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1190s] [ 52%] 2025-12-04T16:31:44.6809073Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_mul_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0618s] [ 52%] 2025-12-04T16:31:44.6810468Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_mul_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0921s] [ 52%] 2025-12-04T16:31:44.6811945Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tying_union_new_syntax_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0742s] [ 52%] 2025-12-04T16:31:44.6813311Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_type_copy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2143s] [ 52%] 2025-12-04T16:31:44.6814622Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0660s] [ 52%] 2025-12-04T16:31:44.6815970Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_typevar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0667s] [ 52%] 2025-12-04T16:31:44.6817374Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_union_and_optional_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0758s] [ 52%] 2025-12-04T16:31:44.6818863Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_union_new_syntax_reconstruct_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.0436s] [ 52%] 2025-12-04T16:31:44.6820381Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_variable_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0957s] [ 53%] 2025-12-04T16:31:44.6821818Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_2d_expand_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.2459s] [ 53%] 2025-12-04T16:31:44.6823228Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_empty_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0864s] [ 53%] 2025-12-04T16:31:44.6824630Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_repeat_cat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1274s] [ 53%] 2025-12-04T16:31:44.6826053Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_sources_scalar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0522s] [ 53%] 2025-12-04T16:31:44.6827561Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_sources_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0752s] [ 53%] 2025-12-04T16:31:44.6828999Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_strict_mode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0466s] [ 53%] 2025-12-04T16:31:44.6830419Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_symint_split_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2529s] [ 53%] 2025-12-04T16:31:44.6831873Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unhandled_exception_in_dynamo2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1551s] [ 53%] 2025-12-04T16:31:44.6833388Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unhandled_exception_in_dynamo_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0305s] [ 53%] 2025-12-04T16:31:44.6834860Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unique_consecutive_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0790s] [ 53%] 2025-12-04T16:31:44.6836217Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack4_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2338s] [ 53%] 2025-12-04T16:31:44.6837501Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack5_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2175s] [ 53%] 2025-12-04T16:31:44.6838971Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack_tensor_shape_mismatch_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0925s] [ 53%] 2025-12-04T16:31:44.6840535Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_update_locals_and_stack_uses_shared_cache_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0539s] [ 53%] 2025-12-04T16:31:44.6842077Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_code_statically_known_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1483s] [ 53%] 2025-12-04T16:31:44.6843526Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_binop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0837s] [ 53%] 2025-12-04T16:31:44.6844933Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_class_name_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1680s] [ 53%] 2025-12-04T16:31:44.6846395Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_class_python_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1434s] [ 53%] 2025-12-04T16:31:44.6847832Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3259s] [ 53%] 2025-12-04T16:31:44.6849309Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_object_class_interaction_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0823s] [ 54%] 2025-12-04T16:31:44.6850794Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_setattr1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0825s] [ 54%] 2025-12-04T16:31:44.6852297Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_setattr2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0794s] [ 54%] 2025-12-04T16:31:44.6853839Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_enum_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0770s] [ 54%] 2025-12-04T16:31:44.6855525Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_function_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1363s] [ 54%] 2025-12-04T16:31:44.6857250Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_type_abcmeta_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0977s] [ 54%] 2025-12-04T16:31:44.6858800Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattr1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0910s] [ 54%] 2025-12-04T16:31:44.6860190Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattr2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1021s] [ 54%] 2025-12-04T16:31:44.6861556Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1721s] [ 54%] 2025-12-04T16:31:44.6862922Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_property_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0852s] [ 54%] 2025-12-04T16:31:44.6864286Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_usr_cls_classmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1331s] [ 54%] 2025-12-04T16:31:44.6865693Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_usr_cls_staticmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1339s] [ 54%] 2025-12-04T16:31:44.6867193Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_validate_outputs_unbacked_by_custom_op_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4900s] [ 54%] 2025-12-04T16:31:44.6868720Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_validate_outputs_unbacked_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.2304s] [ 54%] 2025-12-04T16:31:44.6870188Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_variable_access_in_exception_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0459s] [ 54%] 2025-12-04T16:31:44.6871812Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_variable_tracker_recursively_contains_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0806s] [ 54%] 2025-12-04T16:31:44.6873265Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_version_ci_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0035s] [ 54%] 2025-12-04T16:31:44.6874614Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_with_builtin_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1138s] [ 54%] 2025-12-04T16:31:44.6876067Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_write_to_cells_with_name_shadowing_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7464s] [ 54%] 2025-12-04T16:31:44.6877612Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_write_to_closures_in_inlining_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0962s] [ 54%] 2025-12-04T16:31:44.6879105Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_writes_to_cells_across_frames1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0224s] [ 55%] 2025-12-04T16:31:44.6880600Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_writes_to_cells_across_frames2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0622s] [ 55%] 2025-12-04T16:31:44.6882006Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2480s] [ 55%] 2025-12-04T16:31:44.6883339Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_in_a_loop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0809s] [ 55%] 2025-12-04T16:31:44.6884918Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_user_stop_iteration_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0469s] [ 55%] 2025-12-04T16:31:44.6886362Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_gen_and_from_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0857s] [ 55%] 2025-12-04T16:31:44.6887833Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_send_to_subgenerator_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0047s] [ 55%] 2025-12-04T16:31:44.6889341Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_312_local_cell_overlap_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1553s] [ 55%] 2025-12-04T16:31:44.6890702Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_Size_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0688s] [ 55%] 2025-12-04T16:31:44.6892139Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_abc_setattr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0840s] [ 55%] 2025-12-04T16:31:44.6893572Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_add_complex_conj_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.4706s] [ 55%] 2025-12-04T16:31:44.6895036Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_add_sub_alpha_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.8217s] [ 55%] 2025-12-04T16:31:44.6896513Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_addr_alpha_beta_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.2210s] [ 55%] 2025-12-04T16:31:44.6897940Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_amp_foreach_fake_impl_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2168s] [ 55%] 2025-12-04T16:31:44.6899514Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_aot_autograd_runtime_wrapper_prologue_profiled_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5428s] [ 55%] 2025-12-04T16:31:44.6901165Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_as_strided_on_base_with_mutation_works_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2012s] [ 55%] 2025-12-04T16:31:44.6902740Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_as_strided_on_existing_view_banned_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1267s] [ 55%] 2025-12-04T16:31:44.6904322Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_attached_attribute_in_dir_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0026s] [ 55%] 2025-12-04T16:31:44.6906060Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_autograd_function_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1295s] [ 55%] 2025-12-04T16:31:44.6907600Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_avoid_dupe_specialization_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7735s] [ 55%] 2025-12-04T16:31:44.6909111Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batch_encoding_clone_inputs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0017s] [ 56%] 2025-12-04T16:31:44.6910598Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batch_norm_act_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3269s] [ 56%] 2025-12-04T16:31:44.6911975Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batchnorm_e2e_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.9838s] [ 56%] 2025-12-04T16:31:44.6913426Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bigbird_unsqueeze_inplace_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6437s] [ 56%] 2025-12-04T16:31:44.6914880Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bitwise_op_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1356s] [ 56%] 2025-12-04T16:31:44.6916315Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bitwise_print_precedence_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9752s] [ 56%] 2025-12-04T16:31:44.6917743Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_boxes_len_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1073s] [ 56%] 2025-12-04T16:31:44.6919157Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_build_map_unpack_with_call_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1167s] [ 56%] 2025-12-04T16:31:44.6920754Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_c_defined_metaclass_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (missing msgspec package) [ 56%] 2025-12-04T16:31:44.6922402Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_cells_unsupported_step_exception_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0968s] [ 56%] 2025-12-04T16:31:44.6923887Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_changing_stride_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2648s] [ 56%] 2025-12-04T16:31:44.6925303Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_chunk_reformer_ff_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7159s] [ 56%] 2025-12-04T16:31:44.6926741Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_class_member_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1665s] [ 56%] 2025-12-04T16:31:44.6928151Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_classmethod_with_slots_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0879s] [ 56%] 2025-12-04T16:31:44.6929602Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_clone_not_memory_dense_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9844s] [ 56%] 2025-12-04T16:31:44.6931158Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compilation_metrics_on_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1047s] [ 56%] 2025-12-04T16:31:44.6932651Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compile_complex_conj_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2489s] [ 56%] 2025-12-04T16:31:44.6934112Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compile_copy__int_overload_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1402s] [ 56%] 2025-12-04T16:31:44.6959041Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compiled_module_truthiness_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0058s] [ 56%] 2025-12-04T16:31:44.6960569Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_const_dict_keyerror_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0868s] [ 57%] 2025-12-04T16:31:44.6962857Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_contains_range_constprop_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0675s] [ 57%] 2025-12-04T16:31:44.6964391Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_convert_boxes_to_pooler_format_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7658s] [ 57%] 2025-12-04T16:31:44.6965878Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_copy_weird_strides_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.2128s] [ 57%] 2025-12-04T16:31:44.6967404Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_create_rand_mask_from_inputs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [240.3368s] [ 57%] 2025-12-04T16:31:44.6968854Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dalle2_maybe_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0527s] [ 57%] 2025-12-04T16:31:44.6970336Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_data_attr_mutation_after_saved_for_bw_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3380s] [ 57%] 2025-12-04T16:31:44.6971966Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dataclass_in_module_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9459s] [ 57%] 2025-12-04T16:31:44.6973541Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dataclass_init_with_default_factory_with_inputs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.2190s] [ 57%] 2025-12-04T16:31:44.6975489Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ddp_checkpoint_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Failing with ncc update 2.25.1 : https://github.com/pytorch/pytorch/issues/147141) [ 57%] 2025-12-04T16:31:44.6977270Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dedup_global_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8231s] [ 57%] 2025-12-04T16:31:44.6978713Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_deferred_runtime_asserts_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7632s] [ 57%] 2025-12-04T16:31:44.6980129Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0512s] [ 57%] 2025-12-04T16:31:44.6981491Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_raises_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0158s] [ 57%] 2025-12-04T16:31:44.6982885Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_return_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0516s] [ 57%] 2025-12-04T16:31:44.6984282Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delete_local_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0374s] [ 57%] 2025-12-04T16:31:44.6985827Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_deleted_compile_wrapper_segfault_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0644s] [ 57%] 2025-12-04T16:31:44.6987294Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delsubscr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0473s] [ 57%] 2025-12-04T16:31:44.6988683Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delsubscr_raises_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0112s] [ 57%] 2025-12-04T16:31:44.6990127Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_detectron2_instances_cat_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3918s] [ 57%] 2025-12-04T16:31:44.6991724Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_disabling_unpack_hooks_within_compiled_region_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2412s] [ 58%] 2025-12-04T16:31:44.6993322Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_distributions_subclass_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2097s] [ 58%] 2025-12-04T16:31:44.6994754Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_do_paste_mask_dynamic_shapes <- test/dynamo/test_repros.py PASSED [12.0178s] [ 58%] 2025-12-04T16:31:44.6996264Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dont_aggressively_write_assert_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4320s] [ 58%] 2025-12-04T16:31:44.6997725Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dont_dce_rand_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9489s] [ 58%] 2025-12-04T16:31:44.6999104Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dropout_inline_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1422s] [ 58%] 2025-12-04T16:31:44.7000573Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shape_disable_duck_size_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1963s] [ 58%] 2025-12-04T16:31:44.7002162Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_double_not_equal_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3566s] [ 58%] 2025-12-04T16:31:44.7003677Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_float_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1303s] [ 58%] 2025-12-04T16:31:44.7005421Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_implicit_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0826s] [ 58%] 2025-12-04T16:31:44.7006943Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_right_side_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0930s] [ 58%] 2025-12-04T16:31:44.7008467Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_default_lru_cache_behavior_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0767s] [ 58%] 2025-12-04T16:31:44.7010016Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_disable_lru_cache_behavior_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0745s] [ 58%] 2025-12-04T16:31:44.7011840Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_set_recursion_limit_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0004s] (only 3.12, 3.13 affected by c recursion limit) [ 58%] 2025-12-04T16:31:44.7013811Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_set_recursion_limit_usage_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (only 3.12, 3.13 affected by c recursion limit) [ 58%] 2025-12-04T16:31:44.7015482Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ellipsis_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6017s] [ 58%] 2025-12-04T16:31:44.7016988Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_embedding_backward_broadcasting_decomp_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2571s] [ 58%] 2025-12-04T16:31:44.7018696Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_graph_nested_calls_fullgraph_False_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0660s] [ 58%] 2025-12-04T16:31:44.7020331Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_graph_nested_calls_fullgraph_True_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0651s] [ 58%] 2025-12-04T16:31:44.7021916Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_list_contains_with_jump_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0777s] [ 58%] 2025-12-04T16:31:44.7023392Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1784s] [ 59%] 2025-12-04T16:31:44.7024752Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_enum_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0832s] [ 59%] 2025-12-04T16:31:44.7026101Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ephemeral_module_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1454s] [ 59%] 2025-12-04T16:31:44.7027600Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_error_return_without_exception_set_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0127s] [ 59%] 2025-12-04T16:31:44.7029217Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exception_in_dynamo_handling_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0170s] [ 59%] 2025-12-04T16:31:44.7030707Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exec_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0243s] [ 59%] 2025-12-04T16:31:44.7032101Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exec_wildcard_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0562s] [ 59%] 2025-12-04T16:31:44.7033651Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_export_vs_dynamo_for_multiheadattention_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.8831s] [ 59%] 2025-12-04T16:31:44.7035522Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_flip_bad_accuracy_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Skip this flip test for the moment. It is under investigation) [ 59%] 2025-12-04T16:31:44.7037268Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_for_loop_graph_break_before_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3899s] [ 59%] 2025-12-04T16:31:44.7038728Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_for_loop_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0766s] [ 59%] 2025-12-04T16:31:44.7040176Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_foreach_decomp_arg_names_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.0050s] [ 59%] 2025-12-04T16:31:44.7041825Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_fsdp_set_input_mutation_applied_when_input_gets_no_gradients_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0015s] [ 59%] 2025-12-04T16:31:44.7043469Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_function_in_skipfiles_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0846s] [ 59%] 2025-12-04T16:31:44.7044910Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_functools_wraps_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0284s] [ 59%] 2025-12-04T16:31:44.7046515Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_gan_repro_trying_to_backward_through_the_graph_a_second_time_dynamic_shapes <- test/dynamo/test_repros.py PASSED [3.5835s] [ 59%] 2025-12-04T16:31:44.7048131Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_generator_dealloc_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0514s] [ 59%] 2025-12-04T16:31:44.7049569Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_get_parameter_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0918s] [ 59%] 2025-12-04T16:31:44.7050983Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_get_type_hints_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1743s] [ 59%] 2025-12-04T16:31:44.7052536Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_global_fn_mutation_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0767s] [ 59%] 2025-12-04T16:31:44.7053883Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1165s] [ 60%] 2025-12-04T16:31:44.7055400Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_mode_carrying_correct_state_after_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1333s] [ 60%] 2025-12-04T16:31:44.7057008Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_references_cleared_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3986s] [ 60%] 2025-12-04T16:31:44.7058515Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_on_jit_isinstance_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0755s] [ 60%] 2025-12-04T16:31:44.7060069Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_on_jit_isinstance_pep585_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0726s] [ 60%] 2025-12-04T16:31:44.7061631Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_unsupported_fake_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1547s] [ 60%] 2025-12-04T16:31:44.7063182Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_default_device_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0997s] [ 60%] 2025-12-04T16:31:44.7064648Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_fail_nested_tuple_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0496s] [ 60%] 2025-12-04T16:31:44.7066110Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_fail_tensor_bool_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.6097s] [ 60%] 2025-12-04T16:31:44.7067571Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_ordering_shape_fail_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0022s] [ 60%] 2025-12-04T16:31:44.7069109Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_same_frame_fail_message_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1985s] [ 60%] 2025-12-04T16:31:44.7070620Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_with_tuple_mutation_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1123s] [ 60%] 2025-12-04T16:31:44.7072073Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hasattr_builtin_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0884s] [ 60%] 2025-12-04T16:31:44.7073488Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_bigbird_unsqueeze_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9809s] [ 60%] 2025-12-04T16:31:44.7074940Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_classinstantier_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2345s] [ 60%] 2025-12-04T16:31:44.7076364Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_gelu_inline_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2431s] [ 60%] 2025-12-04T16:31:44.7077750Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_model_output_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3088s] [ 60%] 2025-12-04T16:31:44.7079138Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_t5_forward_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.2344s] [ 60%] 2025-12-04T16:31:44.7080542Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_xsoftmax_inference_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2036s] [ 60%] 2025-12-04T16:31:44.7081997Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_xsoftmax_training_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2860s] [ 61%] 2025-12-04T16:31:44.7083420Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_iadd_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0501s] [ 61%] 2025-12-04T16:31:44.7084892Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_incompatible_configs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0069s] [ 61%] 2025-12-04T16:31:44.7086314Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_indexing_with_list_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0515s] [ 61%] 2025-12-04T16:31:44.7087856Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_dynamic_shapes_broadcasting_dynamic_shapes <- test/dynamo/test_repros.py PASSED [226.4594s] [ 61%] 2025-12-04T16:31:44.7089777Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_no_recursionerror_on_for_loops_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 61%] 2025-12-04T16:31:44.7091743Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_rng_default_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7955s] [ 61%] 2025-12-04T16:31:44.7093279Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inference_mode_dynamic_shapes_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6618s] [ 61%] 2025-12-04T16:31:44.7094761Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inlining_cornercase_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0992s] [ 61%] 2025-12-04T16:31:44.7096299Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inplace_unsqueeze_input_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1883s] [ 61%] 2025-12-04T16:31:44.7097994Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_int_format_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Fails with incorrect result with fullgraph constraints) [ 61%] 2025-12-04T16:31:44.7099724Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_intermediate_leaf_requires_grad_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2203s] [ 61%] 2025-12-04T16:31:44.7101213Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_invalid_seq_unpack_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0397s] [ 61%] 2025-12-04T16:31:44.7102672Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_is_make_fx_tracing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0678s] [ 61%] 2025-12-04T16:31:44.7104095Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_is_symbolic_tracing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0683s] [ 61%] 2025-12-04T16:31:44.7106159Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_isinstance_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0536s] [ 61%] 2025-12-04T16:31:44.7107588Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_isinstance_storage_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0922s] [ 61%] 2025-12-04T16:31:44.7108981Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue111522_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0861s] [ 61%] 2025-12-04T16:31:44.7110348Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue111918_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1359s] [ 61%] 2025-12-04T16:31:44.7111806Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue114171_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3260s] [ 61%] 2025-12-04T16:31:44.7113192Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue126128_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.9062s] [ 62%] 2025-12-04T16:31:44.7114529Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue134451_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1909s] [ 62%] 2025-12-04T16:31:44.7115951Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue1466_size_aot_autograd_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8411s] [ 62%] 2025-12-04T16:31:44.7117461Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue164247_backend_eager_dynamic_shapes <- test/dynamo/test_repros.py PASSED [5.7947s] [ 62%] 2025-12-04T16:31:44.7119348Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue164247_backend_inductor_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0015s] (Skip only in dynamic-shapes wrapper (known issue #157612)) [ 62%] 2025-12-04T16:31:44.7121064Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue175_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4695s] [ 62%] 2025-12-04T16:31:44.7122443Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_jit_script_defaults_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0872s] [ 62%] 2025-12-04T16:31:44.7123857Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_jit_trace_errors_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0022s] [ 62%] 2025-12-04T16:31:44.7125289Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_kwargs_out_list_variable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1328s] [ 62%] 2025-12-04T16:31:44.7126713Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_aliasing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0713s] [ 62%] 2025-12-04T16:31:44.7128066Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.4330s] [ 62%] 2025-12-04T16:31:44.7129493Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_not_found_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0191s] [ 62%] 2025-12-04T16:31:44.7131146Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_tensor_unsupported_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1456s] [ 62%] 2025-12-04T16:31:44.7132608Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_reverse_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5311s] [ 62%] 2025-12-04T16:31:44.7134007Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_self_reference_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0137s] [ 62%] 2025-12-04T16:31:44.7135434Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_listcomp_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1626s] [ 62%] 2025-12-04T16:31:44.7137095Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_longformer_chunk_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 62%] 2025-12-04T16:31:44.7138793Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_longtensor_list_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4997s] [ 62%] 2025-12-04T16:31:44.7140203Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_lru_cache_tracing_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.1001s] [ 62%] 2025-12-04T16:31:44.7141585Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maml_item_capture_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0016s] [ 62%] 2025-12-04T16:31:44.7142999Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maml_no_item_capture_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.3122s] [ 63%] 2025-12-04T16:31:44.7144860Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_many_overlapping_inputs_does_not_explode_guards_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 63%] 2025-12-04T16:31:44.7146748Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_many_views_with_mutation_dynamic_shapes <- test/dynamo/test_repros.py PASSED [13.2366s] [ 63%] 2025-12-04T16:31:44.7148227Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_map_with_multiple_args_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2522s] [ 63%] 2025-12-04T16:31:44.7149666Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maybe_multiply_symint_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2541s] [ 63%] 2025-12-04T16:31:44.7151083Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_mem_leak_guards_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4948s] [ 63%] 2025-12-04T16:31:44.7152605Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_merge_criteria_processor_list1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2329s] [ 63%] 2025-12-04T16:31:44.7154155Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_merge_criteria_processor_list2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2286s] [ 63%] 2025-12-04T16:31:44.7155634Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_method_overriding_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0860s] [ 63%] 2025-12-04T16:31:44.7157062Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_module_in_skipfiles_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1590s] [ 63%] 2025-12-04T16:31:44.7158446Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_modules_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1841s] [ 63%] 2025-12-04T16:31:44.7159818Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_multi_dot_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1365s] [ 63%] 2025-12-04T16:31:44.7161323Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_multi_import_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0018s] (requires detectron2) [ 63%] 2025-12-04T16:31:44.7162825Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_named_buffers_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1626s] [ 63%] 2025-12-04T16:31:44.7164227Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nanmean_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1107s] [ 63%] 2025-12-04T16:31:44.7165639Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_negative_floor_div_solve_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1628s] [ 63%] 2025-12-04T16:31:44.7167102Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_negative_shape_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3758s] [ 63%] 2025-12-04T16:31:44.7168600Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nested_while_loop_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1716s] [ 63%] 2025-12-04T16:31:44.7170069Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_callable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0371s] [ 63%] 2025-12-04T16:31:44.7171632Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_property_closure_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1158s] [ 63%] 2025-12-04T16:31:44.7173098Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_stack_bc_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1508s] [ 64%] 2025-12-04T16:31:44.7174538Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_param_freevar_codegen_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0222s] [ 64%] 2025-12-04T16:31:44.7176044Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parameter_ctor_graph_breaks_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0958s] [ 64%] 2025-12-04T16:31:44.7177504Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parameter_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1225s] [ 64%] 2025-12-04T16:31:44.7178890Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parametrize_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2037s] [ 64%] 2025-12-04T16:31:44.7180282Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_grad_inline_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0825s] [ 64%] 2025-12-04T16:31:44.7181758Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_tracing_into_eval_frame_ctx_manager_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0686s] [ 64%] 2025-12-04T16:31:44.7183298Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_tracing_into_eval_frame_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0684s] [ 64%] 2025-12-04T16:31:44.7184764Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nonconst_issubclass_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0929s] [ 64%] 2025-12-04T16:31:44.7186317Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_not_rewrite_assert_for_other_errors_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0769s] [ 64%] 2025-12-04T16:31:44.7187786Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nullcontext1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0810s] [ 64%] 2025-12-04T16:31:44.7189173Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nullcontext2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0812s] [ 64%] 2025-12-04T16:31:44.7190626Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_numpy_not_ndarray_recompiles_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2431s] [ 64%] 2025-12-04T16:31:44.7192111Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_numpy_tobytes_no_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2285s] [ 64%] 2025-12-04T16:31:44.7193578Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_odict_get_item_index_name_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0448s] [ 64%] 2025-12-04T16:31:44.7195180Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_dictconfig_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (missing omegaconf package) [ 64%] 2025-12-04T16:31:44.7197048Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_listconfig_contains_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0002s] (missing omegaconf package) [ 64%] 2025-12-04T16:31:44.7198723Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_listconfig_iter_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1001s] [ 64%] 2025-12-04T16:31:44.7200175Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ones_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.1524s] [ 64%] 2025-12-04T16:31:44.7201669Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optim_state_references_cleared_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3926s] [ 64%] 2025-12-04T16:31:44.7203166Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_deepcopy_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0978s] [ 65%] 2025-12-04T16:31:44.7204815Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_module_patched_init_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8326s] [ 65%] 2025-12-04T16:31:44.7206343Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_module_training_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0024s] [ 65%] 2025-12-04T16:31:44.7207762Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_os_fspath_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0531s] [ 65%] 2025-12-04T16:31:44.7209174Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_nested_cell_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1137s] [ 65%] 2025-12-04T16:31:44.7210722Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_nested_cell_tuple_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1505s] [ 65%] 2025-12-04T16:31:44.7212282Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_none_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0397s] [ 65%] 2025-12-04T16:31:44.7213708Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_overload_non_contiguous_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3764s] [ 65%] 2025-12-04T16:31:44.7215191Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_root_cell_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1255s] [ 65%] 2025-12-04T16:31:44.7216704Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_root_cell_tuple_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1607s] [ 65%] 2025-12-04T16:31:44.7218229Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_output_aliases_intermediate_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3801s] [ 65%] 2025-12-04T16:31:44.7219905Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_overlapping_inputs_with_dynamic_shapes_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0020s] [ 65%] 2025-12-04T16:31:44.7221481Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_overwriting_params_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1590s] [ 65%] 2025-12-04T16:31:44.7223009Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partially_initialized_module_property_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0696s] [ 65%] 2025-12-04T16:31:44.7224746Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partitioner_activation_memory_budget_with_unbacked_symints_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8232s] [ 65%] 2025-12-04T16:31:44.7226526Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partitioner_cse_respects_mutation_boundaries_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0016s] [ 65%] 2025-12-04T16:31:44.7228129Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_pointless_graph_removal_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0797s] [ 65%] 2025-12-04T16:31:44.7229652Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_preserve_stride_with_clone_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3981s] [ 65%] 2025-12-04T16:31:44.7231133Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_primtorch_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0915s] [ 65%] 2025-12-04T16:31:44.7232548Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_primtorch_no_graph_break_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0328s] [ 66%] 2025-12-04T16:31:44.7234002Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_randint_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0730s] [ 66%] 2025-12-04T16:31:44.7235452Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_recursive_map_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1220s] [ 66%] 2025-12-04T16:31:44.7236819Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_eval_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7571s] [ 66%] 2025-12-04T16:31:44.7238252Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_min_chunk_len_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0510s] [ 66%] 2025-12-04T16:31:44.7239682Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_sorting_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4341s] [ 66%] 2025-12-04T16:31:44.7241090Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_train_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7074s] [ 66%] 2025-12-04T16:31:44.7242475Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reinplacing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0349s] [ 66%] 2025-12-04T16:31:44.7243868Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_relative_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1151s] [ 66%] 2025-12-04T16:31:44.7245344Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_relative_import_no_modulename_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1128s] [ 66%] 2025-12-04T16:31:44.7246907Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_requires_grad_guards_with_grad_mode1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0182s] [ 66%] 2025-12-04T16:31:44.7248498Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_requires_grad_guards_with_grad_mode2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.2621s] [ 66%] 2025-12-04T16:31:44.7250051Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0930s] [ 66%] 2025-12-04T16:31:44.7251645Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0821s] [ 66%] 2025-12-04T16:31:44.7253195Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0886s] [ 66%] 2025-12-04T16:31:44.7254744Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_mixed_grad_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1705s] [ 66%] 2025-12-04T16:31:44.7256328Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_scalar_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2307s] [ 66%] 2025-12-04T16:31:44.7257893Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_tensor_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2191s] [ 66%] 2025-12-04T16:31:44.7259372Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_weakref_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0859s] [ 66%] 2025-12-04T16:31:44.7260851Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_dont_change_bytecode_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1029s] [ 66%] 2025-12-04T16:31:44.7262367Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_noop_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2395s] [ 67%] 2025-12-04T16:31:44.7263879Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_with_msg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1766s] [ 67%] 2025-12-04T16:31:44.7265401Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_with_non_string_msg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1204s] [ 67%] 2025-12-04T16:31:44.7266918Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_without_msg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0943s] [ 67%] 2025-12-04T16:31:44.7268337Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rng_state_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1304s] [ 67%] 2025-12-04T16:31:44.7269758Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_seq_append_list_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2833s] [ 67%] 2025-12-04T16:31:44.7271251Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setattr_requires_grad_graph_breaks_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6177s] [ 67%] 2025-12-04T16:31:44.7272782Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_boolean_mask_diff_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4444s] [ 67%] 2025-12-04T16:31:44.7274228Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_tensor_prop_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2316s] [ 67%] 2025-12-04T16:31:44.7275709Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_tuple_boolean_mask_diff_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.1218s] [ 67%] 2025-12-04T16:31:44.7277166Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1046s] [ 67%] 2025-12-04T16:31:44.7278531Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2245s] [ 67%] 2025-12-04T16:31:44.7279894Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_size_typematch_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0642s] [ 67%] 2025-12-04T16:31:44.7281320Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slice_into_list_mutable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0796s] [ 67%] 2025-12-04T16:31:44.7282782Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slicing_dynamic_shape_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1059s] [ 67%] 2025-12-04T16:31:44.7284275Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slicing_dynamic_shape_setitem_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2947s] [ 67%] 2025-12-04T16:31:44.7285737Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1176s] [ 67%] 2025-12-04T16:31:44.7287051Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2245s] [ 67%] 2025-12-04T16:31:44.7288434Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_specialized_stride_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0279s] [ 67%] 2025-12-04T16:31:44.7289910Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_split_with_sizes_aot_autograd_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5815s] [ 67%] 2025-12-04T16:31:44.7291537Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_staticmethod_allow_in_graph_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0718s] [ 68%] 2025-12-04T16:31:44.7293004Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_stk_sdd_is_transposed_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2266s] [ 68%] 2025-12-04T16:31:44.7294483Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_stop_iteration_reconstruct_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0331s] [ 68%] 2025-12-04T16:31:44.7295916Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_str_isalnum_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0529s] [ 68%] 2025-12-04T16:31:44.7297353Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_string_format_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0536s] [ 68%] 2025-12-04T16:31:44.7298788Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_subclass_graph_output_repro_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2397s] [ 68%] 2025-12-04T16:31:44.7300264Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_classmethod_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0591s] [ 68%] 2025-12-04T16:31:44.7301785Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_classmethod_inheritance_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0581s] [ 68%] 2025-12-04T16:31:44.7303253Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_diamond_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0570s] [ 68%] 2025-12-04T16:31:44.7304798Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_in_staticmethod_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0260s] [ 68%] 2025-12-04T16:31:44.7306244Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_staticmethod_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0569s] [ 68%] 2025-12-04T16:31:44.7307688Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_swin_base_tensor_attr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1430s] [ 68%] 2025-12-04T16:31:44.7309112Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symint_bitwise_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0790s] [ 68%] 2025-12-04T16:31:44.7310513Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symnode_is_not_op_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0660s] [ 68%] 2025-12-04T16:31:44.7311885Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symnode_is_op_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0632s] [ 68%] 2025-12-04T16:31:44.7313397Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sys_monitoring_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Requires Python 3.12+) [ 68%] 2025-12-04T16:31:44.7314922Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_data_kwarg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0247s] [ 68%] 2025-12-04T16:31:44.7316362Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_isinstance_tuple_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0261s] [ 68%] 2025-12-04T16:31:44.7317779Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_item_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0808s] [ 68%] 2025-12-04T16:31:44.7319192Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_random_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2593s] [ 68%] 2025-12-04T16:31:44.7320723Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0016s] [ 69%] 2025-12-04T16:31:44.7322422Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1388s] [ 69%] 2025-12-04T16:31:44.7324104Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1429s] [ 69%] 2025-12-04T16:31:44.7325766Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0604s] [ 69%] 2025-12-04T16:31:44.7327435Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0618s] [ 69%] 2025-12-04T16:31:44.7329089Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0642s] [ 69%] 2025-12-04T16:31:44.7330831Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0015s] [ 69%] 2025-12-04T16:31:44.7332632Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2178s] [ 69%] 2025-12-04T16:31:44.7334320Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8187s] [ 69%] 2025-12-04T16:31:44.7336000Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_mismatched_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0915s] [ 69%] 2025-12-04T16:31:44.7337477Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_split_dynamic_shapes <- test/dynamo/test_repros.py PASSED [225.4648s] [ 69%] 2025-12-04T16:31:44.7338933Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_split_within_device_cm_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6676s] [ 69%] 2025-12-04T16:31:44.7340390Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_uniform_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9985s] [ 69%] 2025-12-04T16:31:44.7341774Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_threading_local_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0595s] [ 69%] 2025-12-04T16:31:44.7343162Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tokenization_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0829s] [ 69%] 2025-12-04T16:31:44.7344627Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_compile_in_compile_frame_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1390s] [ 69%] 2025-12-04T16:31:44.7346076Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_ops_aten_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0702s] [ 69%] 2025-12-04T16:31:44.7347451Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_tensor_ops_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0732s] [ 69%] 2025-12-04T16:31:44.7348910Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_tensor_ops_no_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0722s] [ 69%] 2025-12-04T16:31:44.7350383Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_variable_type_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0213s] [ 70%] 2025-12-04T16:31:44.7351808Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torchname_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0404s] [ 70%] 2025-12-04T16:31:44.7353233Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_trace_functional_tensor_with_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6016s] [ 70%] 2025-12-04T16:31:44.7354714Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tuple_enum_as_key_dict_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.4826s] [ 70%] 2025-12-04T16:31:44.7356106Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_typed_dict_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1050s] [ 70%] 2025-12-04T16:31:44.7357475Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_typed_dict_total_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0904s] [ 70%] 2025-12-04T16:31:44.7358939Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_udf_classes_reconstruction_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1426s] [ 70%] 2025-12-04T16:31:44.7360442Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unbacked_arange_in_bounds_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3461s] [ 70%] 2025-12-04T16:31:44.7361879Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unbind_copy_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1622s] [ 70%] 2025-12-04T16:31:44.7363384Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unpack_hooks_can_be_disabled_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2198s] [ 70%] 2025-12-04T16:31:44.7364926Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unpack_hooks_dont_run_during_tracing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2194s] [ 70%] 2025-12-04T16:31:44.7366594Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unspecialized_nn_module_with_torch_variable_attribute_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2745s] [ 70%] 2025-12-04T16:31:44.7368245Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unsqueeze_mul_strides_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1530s] [ 70%] 2025-12-04T16:31:44.7369747Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_custom_init_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0974s] [ 70%] 2025-12-04T16:31:44.7371450Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_custom_init_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1193s] [ 70%] 2025-12-04T16:31:44.7373003Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0912s] [ 70%] 2025-12-04T16:31:44.7374419Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_defined_iter_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0564s] [ 70%] 2025-12-04T16:31:44.7375896Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_defined_object_callable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0508s] [ 70%] 2025-12-04T16:31:44.7377402Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_validate_model_kwargs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1659s] [ 70%] 2025-12-04T16:31:44.7378885Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_vc_bumped_in_inference_graph_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8704s] [ 70%] 2025-12-04T16:31:44.7380350Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_vdd_duplicate_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1331s] [ 71%] 2025-12-04T16:31:44.7381777Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_view_dtype_overload_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2933s] [ 71%] 2025-12-04T16:31:44.7383199Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_callback_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3062s] [ 71%] 2025-12-04T16:31:44.7384643Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_construction_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0861s] [ 71%] 2025-12-04T16:31:44.7386100Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_del_dynamic_shapes <- test/dynamo/test_repros.py PASSED [4.6526s] [ 71%] 2025-12-04T16:31:44.7387432Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0831s] [ 71%] 2025-12-04T16:31:44.7388793Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_proxy_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0636s] [ 71%] 2025-12-04T16:31:44.7390215Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_reconstruct_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1918s] [ 71%] 2025-12-04T16:31:44.7391669Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_while_loop_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0963s] [ 71%] 2025-12-04T16:31:44.7393217Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_while_loop_graph_break_inside_call_function_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1477s] [ 71%] 2025-12-04T16:31:44.7394777Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_with_on_graph_break_inst_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4346s] [ 71%] 2025-12-04T16:31:44.7396343Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_with_on_graph_break_nested_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4449s] [ 71%] 2025-12-04T16:31:44.7397795Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_zeros_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.1426s] [ 71%] 2025-12-04T16:31:44.7399221Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_access_by_keys_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.3131s] [ 71%] 2025-12-04T16:31:44.7400638Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_basicmodule1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1369s] [ 71%] 2025-12-04T16:31:44.7402115Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_basicmodule2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1220s] [ 71%] 2025-12-04T16:31:44.7403626Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_call_fn_with_non_const_inputs_safe_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.6145s] [ 71%] 2025-12-04T16:31:44.7405264Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_cfgmod_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1568s] [ 71%] 2025-12-04T16:31:44.7406637Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_children_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1518s] [ 71%] 2025-12-04T16:31:44.7408036Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_constloop_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1228s] [ 71%] 2025-12-04T16:31:44.7409508Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_call_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.3914s] [ 72%] 2025-12-04T16:31:44.7411166Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_call_super_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1873s] [ 72%] 2025-12-04T16:31:44.7412789Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_transpose_call_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1731s] [ 72%] 2025-12-04T16:31:44.7414464Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_transpose_call_super_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2135s] [ 72%] 2025-12-04T16:31:44.7416009Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_densenet_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2992s] [ 72%] 2025-12-04T16:31:44.7417406Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_enumvalues_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2901s] [ 72%] 2025-12-04T16:31:44.7418880Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmember_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1151s] [ 72%] 2025-12-04T16:31:44.7420281Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmembercmp1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1073s] [ 72%] 2025-12-04T16:31:44.7421719Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmembercmp2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1073s] [ 72%] 2025-12-04T16:31:44.7423164Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1598s] [ 72%] 2025-12-04T16:31:44.7424617Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_generation_tag_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0045s] [ 72%] 2025-12-04T16:31:44.7426015Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_hasattr_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1945s] [ 72%] 2025-12-04T16:31:44.7427473Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_inject_module_parameters_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.9174s] [ 72%] 2025-12-04T16:31:44.7428924Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_intarg_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1201s] [ 72%] 2025-12-04T16:31:44.7430363Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_iseval1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1129s] [ 72%] 2025-12-04T16:31:44.7431737Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_iseval2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1072s] [ 72%] 2025-12-04T16:31:44.7433124Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_isnonelayer_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1050s] [ 72%] 2025-12-04T16:31:44.7434541Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_istraining1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1063s] [ 72%] 2025-12-04T16:31:44.7436037Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_istraining2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1070s] [ 72%] 2025-12-04T16:31:44.7437441Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_layerlist_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1367s] [ 72%] 2025-12-04T16:31:44.7438833Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module1_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.2763s] [ 73%] 2025-12-04T16:31:44.7440230Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module2_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0442s] [ 73%] 2025-12-04T16:31:44.7441635Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module4_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0366s] [ 73%] 2025-12-04T16:31:44.7443033Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module5_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0437s] [ 73%] 2025-12-04T16:31:44.7444425Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module6_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0412s] [ 73%] 2025-12-04T16:31:44.7445827Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module7_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0820s] [ 73%] 2025-12-04T16:31:44.7447344Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_bad_params_call_function_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1215s] [ 73%] 2025-12-04T16:31:44.7448916Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_bad_params_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0022s] [ 73%] 2025-12-04T16:31:44.7450400Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_kwargs_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1936s] [ 73%] 2025-12-04T16:31:44.7452024Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_no_cls_to_become_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1513s] [ 73%] 2025-12-04T16:31:44.7453640Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_speculation_log_divergence_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0475s] [ 73%] 2025-12-04T16:31:44.7454381Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_attribute_precedence_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1738s] [ 73%] 2025-12-04T16:31:44.7455139Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_call_module_with_static_forward_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1202s] [ 73%] 2025-12-04T16:31:44.7455809Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_class_method_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1877s] [ 73%] 2025-12-04T16:31:44.7456491Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_comparison_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1647s] [ 73%] 2025-12-04T16:31:44.7457213Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_forward_has_graph_break_dynamic_shapes <- test/dynamo/test_modules.py PASSED [1.2551s] [ 73%] 2025-12-04T16:31:44.7457958Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_guard_name_is_valid_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1803s] [ 73%] 2025-12-04T16:31:44.7458649Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_name_string_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1108s] [ 73%] 2025-12-04T16:31:44.7459304Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_property_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1134s] [ 73%] 2025-12-04T16:31:44.7459987Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_static_method_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1905s] [ 74%] 2025-12-04T16:31:44.7460676Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_moduledict_custom_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1127s] [ 74%] 2025-12-04T16:31:44.7461317Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_moduledict_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1069s] [ 74%] 2025-12-04T16:31:44.7461985Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_custom_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1590s] [ 74%] 2025-12-04T16:31:44.7462630Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2941s] [ 74%] 2025-12-04T16:31:44.7463291Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_nested_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1880s] [ 74%] 2025-12-04T16:31:44.7463937Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulemethod1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1717s] [ 74%] 2025-12-04T16:31:44.7464600Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulemethod2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1715s] [ 74%] 2025-12-04T16:31:44.7465245Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_named_children_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1405s] [ 74%] 2025-12-04T16:31:44.7465916Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_module_setattr_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0952s] [ 74%] 2025-12-04T16:31:44.7466608Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_module_unspec_int_attr_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.3139s] [ 74%] 2025-12-04T16:31:44.7467295Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_moduledict_contains_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1043s] [ 74%] 2025-12-04T16:31:44.7467986Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameterdict_custom_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0918s] [ 74%] 2025-12-04T16:31:44.7468663Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameterdict_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0872s] [ 74%] 2025-12-04T16:31:44.7469309Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1106s] [ 74%] 2025-12-04T16:31:44.7469945Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1093s] [ 74%] 2025-12-04T16:31:44.7470590Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters3_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1289s] [ 74%] 2025-12-04T16:31:44.7471221Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters4_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1248s] [ 74%] 2025-12-04T16:31:44.7471860Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters5_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1307s] [ 74%] 2025-12-04T16:31:44.7472515Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_self_mutating1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1430s] [ 74%] 2025-12-04T16:31:44.7473128Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_seq_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1334s] [ 75%] 2025-12-04T16:31:44.7473918Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_sequential_with_duplicated_module2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1812s] [ 75%] 2025-12-04T16:31:44.7474666Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_sequential_with_duplicated_module_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1709s] [ 75%] 2025-12-04T16:31:44.7475347Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_simple_torch_function_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0580s] [ 75%] 2025-12-04T16:31:44.7476031Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_stringmember_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1005s] [ 75%] 2025-12-04T16:31:44.7476663Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_submodules1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1660s] [ 75%] 2025-12-04T16:31:44.7477315Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_submodules2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1641s] [ 75%] 2025-12-04T16:31:44.7477916Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1167s] [ 75%] 2025-12-04T16:31:44.7478519Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1138s] [ 75%] 2025-12-04T16:31:44.7479190Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super_class_method_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0913s] [ 75%] 2025-12-04T16:31:44.7479824Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_tensorlist_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2197s] [ 75%] 2025-12-04T16:31:44.7480545Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_torch_function_with_closure_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0490s] [ 75%] 2025-12-04T16:31:44.7481237Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_torch_mangled_class_name_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1347s] [ 75%] 2025-12-04T16:31:44.7481923Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_unsupportedmethod_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.4245s] [ 75%] 2025-12-04T16:31:44.7482595Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_unsupportedmodule_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.4386s] [ 75%] 2025-12-04T16:31:44.7483274Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_viamodulecall_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1110s] [ 75%] 2025-12-04T16:31:44.7484029Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_access_class_method_from_user_class_attr_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0845s] [ 75%] 2025-12-04T16:31:44.7484790Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_access_class_method_from_user_class_builtin_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0805s] [ 75%] 2025-12-04T16:31:44.7485479Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_byte_tensor_does_not_crash_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1553s] [ 75%] 2025-12-04T16:31:44.7486270Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_capture_symbolic_tracing_simple_within_fake_mode_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1240s] [ 75%] 2025-12-04T16:31:44.7487043Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_capture_symbolic_tracing_within_fake_mode_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.1700s] [ 76%] 2025-12-04T16:31:44.7487762Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_free_variables_overlapping_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2001s] [ 76%] 2025-12-04T16:31:44.7488482Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_op_param_buffer_lifted_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2413s] [ 76%] 2025-12-04T16:31:44.7489289Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_args_mismatch_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0652s] [ 76%] 2025-12-04T16:31:44.7490104Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_return_multiple_tensors_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3548s] [ 76%] 2025-12-04T16:31:44.7490896Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_return_non_tensor_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0362s] [ 76%] 2025-12-04T16:31:44.7491783Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_mismatch_return_length_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0704s] [ 76%] 2025-12-04T16:31:44.7492600Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_mismatch_return_tensor_meta_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0418s] [ 76%] 2025-12-04T16:31:44.7493320Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_missing_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0015s] [ 76%] 2025-12-04T16:31:44.7494066Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_non_list_operands_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0020s] [ 76%] 2025-12-04T16:31:44.7494837Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_non_tensor_operands_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0017s] [ 76%] 2025-12-04T16:31:44.7495588Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_unsupported_pred_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0015s] [ 76%] 2025-12-04T16:31:44.7496285Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_supported_pred_types_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.8276s] [ 76%] 2025-12-04T16:31:44.7497022Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_constraint_violation_error_messages_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2912s] [ 76%] 2025-12-04T16:31:44.7497693Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dataclass_input_output_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1480s] [ 76%] 2025-12-04T16:31:44.7498317Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dict_return_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2010s] [ 76%] 2025-12-04T16:31:44.7499039Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dict_return_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2162s] [ 76%] 2025-12-04T16:31:44.7499636Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_2_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1170s] [ 76%] 2025-12-04T16:31:44.7500301Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_2_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1268s] [ 76%] 2025-12-04T16:31:44.7500944Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1367s] [ 76%] 2025-12-04T16:31:44.7501705Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1409s] [ 77%] 2025-12-04T16:31:44.7502539Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1538s] [ 77%] 2025-12-04T16:31:44.7503258Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1484s] [ 77%] 2025-12-04T16:31:44.7504026Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_arg_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1427s] [ 77%] 2025-12-04T16:31:44.7504969Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1588s] [ 77%] 2025-12-04T16:31:44.7505709Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_output_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1663s] [ 77%] 2025-12-04T16:31:44.7506600Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_output_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1661s] [ 77%] 2025-12-04T16:31:44.7507189Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1147s] [ 77%] 2025-12-04T16:31:44.7507851Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1264s] [ 77%] 2025-12-04T16:31:44.7508508Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamic_slicing_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3827s] [ 77%] 2025-12-04T16:31:44.7509175Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamic_slicing_simple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1098s] [ 77%] 2025-12-04T16:31:44.7509840Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamo_enum_in_tuple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0850s] [ 77%] 2025-12-04T16:31:44.7510482Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamo_list_index_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0780s] [ 77%] 2025-12-04T16:31:44.7511068Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_empty_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0913s] [ 77%] 2025-12-04T16:31:44.7511736Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_enforce_equalities_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.0232s] [ 77%] 2025-12-04T16:31:44.7512466Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_compare_optimize_with_make_fx_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.4148s] [ 77%] 2025-12-04T16:31:44.7513168Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_cond_in_aten_symbolic_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.4193s] [ 77%] 2025-12-04T16:31:44.7513882Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_control_flow_with_getattr_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0820s] [ 77%] 2025-12-04T16:31:44.7514638Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_decomp_asserts_bad_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0016s] [ 77%] 2025-12-04T16:31:44.7515265Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_decomp_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2427s] [ 77%] 2025-12-04T16:31:44.7515912Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_defaults_ok_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.5472s] [ 78%] 2025-12-04T16:31:44.7516641Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_control_flow_error_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1084s] [ 78%] 2025-12-04T16:31:44.7517324Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_cleanup_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1071s] [ 78%] 2025-12-04T16:31:44.7518010Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_not_1_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0630s] [ 78%] 2025-12-04T16:31:44.7518744Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_range_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2335s] [ 78%] 2025-12-04T16:31:44.7519401Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1746s] [ 78%] 2025-12-04T16:31:44.7520071Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_bypass_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1517s] [ 78%] 2025-12-04T16:31:44.7520795Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_bypass_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1498s] [ 78%] 2025-12-04T16:31:44.7521534Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_complex_reorder_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2169s] [ 78%] 2025-12-04T16:31:44.7522352Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_complex_reorder_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2395s] [ 78%] 2025-12-04T16:31:44.7523028Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_list_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2003s] [ 78%] 2025-12-04T16:31:44.7523762Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_list_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2140s] [ 78%] 2025-12-04T16:31:44.7524400Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_identity_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0400s] [ 78%] 2025-12-04T16:31:44.7525092Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_masking_with_no_grad_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2915s] [ 78%] 2025-12-04T16:31:44.7525710Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_meta_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1012s] [ 78%] 2025-12-04T16:31:44.7526514Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_meta_val_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1967s] [ 78%] 2025-12-04T16:31:44.7527191Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_2_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1509s] [ 78%] 2025-12-04T16:31:44.7527924Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_2_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1624s] [ 78%] 2025-12-04T16:31:44.7528606Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1487s] [ 78%] 2025-12-04T16:31:44.7529338Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1625s] [ 79%] 2025-12-04T16:31:44.7530170Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_module_specify_constraints_signature_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1873s] [ 79%] 2025-12-04T16:31:44.7530901Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_multi_dynamic_dim_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5728s] [ 79%] 2025-12-04T16:31:44.7531804Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_multi_dynamic_dim_unsafe_relationship_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5780s] [ 79%] 2025-12-04T16:31:44.7532537Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_nn_module_stack_patched_module_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0847s] [ 79%] 2025-12-04T16:31:44.7533165Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_no_raise_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1952s] [ 79%] 2025-12-04T16:31:44.7533952Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_no_tensor_computation_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1019s] [ 79%] 2025-12-04T16:31:44.7534643Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_pass_arg_by_name_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1768s] [ 79%] 2025-12-04T16:31:44.7535389Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_pass_arg_by_name_star_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2793s] [ 79%] 2025-12-04T16:31:44.7536049Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_persist_assert_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2967s] [ 79%] 2025-12-04T16:31:44.7536988Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_preserve_constraints_as_metadata_tensor_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1253s] [ 79%] 2025-12-04T16:31:44.7537832Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_preserves_nn_module_stack_for_get_attr_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2439s] [ 79%] 2025-12-04T16:31:44.7538559Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_guard_full_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1803s] [ 79%] 2025-12-04T16:31:44.7539318Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_guard_partial_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2176s] [ 79%] 2025-12-04T16:31:44.7540018Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_on_relationship_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3607s] [ 79%] 2025-12-04T16:31:44.7540714Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_shape_control_flow_1_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2158s] [ 79%] 2025-12-04T16:31:44.7541383Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_specialized_int_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1778s] [ 79%] 2025-12-04T16:31:44.7542061Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_symbolic_shape_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0893s] [ 79%] 2025-12-04T16:31:44.7542771Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_and_empty_kwargs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1154s] [ 79%] 2025-12-04T16:31:44.7543485Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_None_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0570s] [ 79%] 2025-12-04T16:31:44.7544217Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_float_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0383s] [ 80%] 2025-12-04T16:31:44.7544937Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_tensor_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0534s] [ 80%] 2025-12-04T16:31:44.7545734Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_tuple_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0538s] [ 80%] 2025-12-04T16:31:44.7546390Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2362s] [ 80%] 2025-12-04T16:31:44.7547144Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_builtin_op_on_assume_constant_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1091s] [ 80%] 2025-12-04T16:31:44.7547913Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_branches_calling_methods_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.4615s] [ 80%] 2025-12-04T16:31:44.7548588Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_closure_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.4559s] [ 80%] 2025-12-04T16:31:44.7549320Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_dynamic_shape_pred_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.7925s] [ 80%] 2025-12-04T16:31:44.7550045Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_with_closed_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2099s] [ 80%] 2025-12-04T16:31:44.7550837Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_dict_values_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0860s] [ 80%] 2025-12-04T16:31:44.7551634Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1379s] [ 80%] 2025-12-04T16:31:44.7552506Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_multiarg_diff_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0937s] [ 80%] 2025-12-04T16:31:44.7553403Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_multiarg_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1714s] [ 80%] 2025-12-04T16:31:44.7554126Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1544s] [ 80%] 2025-12-04T16:31:44.7554877Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_global_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0132s] [ 80%] 2025-12-04T16:31:44.7555663Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_in_unspecialized_nn_module_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0831s] [ 80%] 2025-12-04T16:31:44.7556394Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_list_nonzero_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1031s] [ 80%] 2025-12-04T16:31:44.7557177Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_list_nonzero_free_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1000s] [ 80%] 2025-12-04T16:31:44.7557912Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_method_on_module_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1288s] [ 80%] 2025-12-04T16:31:44.7558724Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_method_on_module_invoke_twice_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1544s] [ 80%] 2025-12-04T16:31:44.7559464Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_none_control_flow_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0290s] [ 81%] 2025-12-04T16:31:44.7560258Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_none_control_flow_free_func_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0277s] [ 81%] 2025-12-04T16:31:44.7561041Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0340s] [ 81%] 2025-12-04T16:31:44.7561840Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_free_func_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0340s] [ 81%] 2025-12-04T16:31:44.7562608Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_pos_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0336s] [ 81%] 2025-12-04T16:31:44.7563341Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_return_const_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0263s] [ 81%] 2025-12-04T16:31:44.7564074Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_tuple_nonzero_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1010s] [ 81%] 2025-12-04T16:31:44.7564789Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_functools_wrapped_fn_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1124s] [ 81%] 2025-12-04T16:31:44.7565535Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_functools_wrapped_method_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1206s] [ 81%] 2025-12-04T16:31:44.7566298Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_and_empty_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0904s] [ 81%] 2025-12-04T16:31:44.7566955Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1564s] [ 81%] 2025-12-04T16:31:44.7567678Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_None_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0783s] [ 81%] 2025-12-04T16:31:44.7568439Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_float_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0671s] [ 81%] 2025-12-04T16:31:44.7569184Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_tensor_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0804s] [ 81%] 2025-12-04T16:31:44.7569915Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_tuple_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0807s] [ 81%] 2025-12-04T16:31:44.7570579Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_cond_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.4363s] [ 81%] 2025-12-04T16:31:44.7571393Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_zero_sized_tensor_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0431s] [ 81%] 2025-12-04T16:31:44.7572188Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_zero_sized_tensor_suppress_errors_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0425s] [ 81%] 2025-12-04T16:31:44.7572879Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_module_layer_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.6311s] [ 81%] 2025-12-04T16:31:44.7573566Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_nonzero_static_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1124s] [ 81%] 2025-12-04T16:31:44.7574357Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_shallow_list_copy_with_side_effects_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1017s] [ 82%] 2025-12-04T16:31:44.7575117Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_shallow_list_copy_wo_side_effects_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0752s] [ 82%] 2025-12-04T16:31:44.7575798Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_stack_trace_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1437s] [ 82%] 2025-12-04T16:31:44.7576526Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_symbool_inputs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.4285s] [ 82%] 2025-12-04T16:31:44.7577192Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_wrapped_fn_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1033s] [ 82%] 2025-12-04T16:31:44.7577917Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_exported_graph_serialization_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1688s] [ 82%] 2025-12-04T16:31:44.7578529Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_func_return_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2027s] [ 82%] 2025-12-04T16:31:44.7579221Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_func_return_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2225s] [ 82%] 2025-12-04T16:31:44.7579822Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_fx_pytree_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3029s] [ 82%] 2025-12-04T16:31:44.7580484Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_immutable_list_dict_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.2056s] [ 82%] 2025-12-04T16:31:44.7581171Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_container_type_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1974s] [ 82%] 2025-12-04T16:31:44.7581816Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_global_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0673s] [ 82%] 2025-12-04T16:31:44.7582528Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_global_multiple_access_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0808s] [ 82%] 2025-12-04T16:31:44.7583157Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_nonlocal_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0641s] [ 82%] 2025-12-04T16:31:44.7583874Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_unused_nonlocal_ok_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0441s] [ 82%] 2025-12-04T16:31:44.7584492Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_contains_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1983s] [ 82%] 2025-12-04T16:31:44.7585128Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_not_contains_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1419s] [ 82%] 2025-12-04T16:31:44.7585750Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_unpack_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1694s] [ 82%] 2025-12-04T16:31:44.7586433Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_unpack_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1755s] [ 82%] 2025-12-04T16:31:44.7587134Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_map_cond_param_buffer_lifted_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.6552s] [ 83%] 2025-12-04T16:31:44.7587812Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_mixed_real_and_fake_inputs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.7595s] [ 83%] 2025-12-04T16:31:44.7588554Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_multiple_outputs_op_with_evaluator_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0540s] [ 83%] 2025-12-04T16:31:44.7589268Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_nested_cond_op_param_buffer_lifted_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3373s] [ 83%] 2025-12-04T16:31:44.7589930Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_2_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0664s] [ 83%] 2025-12-04T16:31:44.7590684Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_2_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0714s] [ 83%] 2025-12-04T16:31:44.7591379Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0651s] [ 83%] 2025-12-04T16:31:44.7592077Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_fail_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0272s] [ 83%] 2025-12-04T16:31:44.7592727Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_not_functionalize_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1054s] [ 83%] 2025-12-04T16:31:44.7593475Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_param_buffer_safe_from_mutation_recurse_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0764s] [ 83%] 2025-12-04T16:31:44.7594228Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_param_buffer_safe_from_mutation_simple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0833s] [ 83%] 2025-12-04T16:31:44.7594879Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_pre_dispatch_simple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0421s] [ 83%] 2025-12-04T16:31:44.7595596Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_for_out_dtype_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1566s] [ 83%] 2025-12-04T16:31:44.7596355Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_for_out_dtype_nested_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.7727s] [ 83%] 2025-12-04T16:31:44.7597099Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_higher_order_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1928s] [ 83%] 2025-12-04T16:31:44.7597836Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_higher_order_nested_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3076s] [ 83%] 2025-12-04T16:31:44.7598516Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3278s] [ 83%] 2025-12-04T16:31:44.7599302Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_graph_break_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3962s] [ 83%] 2025-12-04T16:31:44.7600014Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_inline_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2101s] [ 83%] 2025-12-04T16:31:44.7600763Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_recompile_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3509s] [ 83%] 2025-12-04T16:31:44.7601533Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_remove_redundant_dynamic_dim_in_error_message_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1012s] [ 84%] 2025-12-04T16:31:44.7602572Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_dict_container_inp_out_dynamic_shapes <- test/dynamo/test_export.py SKIPPED [0.0013s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 84%] 2025-12-04T16:31:44.7603482Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_dynamic_shapes <- test/dynamo/test_export.py SKIPPED [0.0012s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 84%] 2025-12-04T16:31:44.7604647Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_nested_list_out_dynamic_shapes <- test/dynamo/test_export.py SKIPPED [0.0011s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 84%] 2025-12-04T16:31:44.7605322Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_round_dynamic_shapes_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2594s] [ 84%] 2025-12-04T16:31:44.7606053Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_strict_fake_tensor_prop_real_tensors_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0921s] [ 84%] 2025-12-04T16:31:44.7606726Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_subclass_parameters_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1746s] [ 84%] 2025-12-04T16:31:44.7607395Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_sum_param_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0933s] [ 84%] 2025-12-04T16:31:44.7608028Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_sym_contains_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1241s] [ 84%] 2025-12-04T16:31:44.7608836Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5101s] [ 84%] 2025-12-04T16:31:44.7609715Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_with_parameters_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.7797s] [ 84%] 2025-12-04T16:31:44.7610328Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbool_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1168s] [ 84%] 2025-12-04T16:31:44.7611004Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_torch_inference_mode_ctx_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2234s] [ 84%] 2025-12-04T16:31:44.7611754Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_trivial_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5262s] [ 84%] 2025-12-04T16:31:44.7612616Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_uncaptured_higher_order_op_error_not_suppresed_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0622s] [ 84%] 2025-12-04T16:31:44.7613334Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_untracked_inputs_in_constraints_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1383s] [ 84%] 2025-12-04T16:31:44.7614090Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_and_out_different_shape_on_test_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1849s] [ 84%] 2025-12-04T16:31:44.7614941Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_and_out_different_shape_on_test_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1975s] [ 84%] 2025-12-04T16:31:44.7615649Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1878s] [ 84%] 2025-12-04T16:31:44.7616455Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2092s] [ 84%] 2025-12-04T16:31:44.7617197Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_permute_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2017s] [ 85%] 2025-12-04T16:31:44.7617831Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1097s] [ 85%] 2025-12-04T16:31:44.7618478Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2027s] [ 85%] 2025-12-04T16:31:44.7619126Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1106s] [ 85%] 2025-12-04T16:31:44.7619779Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1268s] [ 85%] 2025-12-04T16:31:44.7620445Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0606s] [ 85%] 2025-12-04T16:31:44.7621096Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2474s] [ 85%] 2025-12-04T16:31:44.7621756Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow4_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1316s] [ 85%] 2025-12-04T16:31:44.7622441Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow5_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3064s] [ 85%] 2025-12-04T16:31:44.7623110Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_duck_size_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1273s] [ 85%] 2025-12-04T16:31:44.7623789Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_getitem_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0608s] [ 85%] 2025-12-04T16:31:44.7624440Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_kwarg_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0760s] [ 85%] 2025-12-04T16:31:44.7625160Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_order_dependence_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2175s] [ 85%] 2025-12-04T16:31:44.7625853Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_zero_inference_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0975s] [ 85%] 2025-12-04T16:31:44.7626567Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_enumerate_not_break_graph_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0880s] [ 85%] 2025-12-04T16:31:44.7627227Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_extended_args_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [3.2376s] [ 85%] 2025-12-04T16:31:44.7627956Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_graph_break_on_item_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1891s] [ 85%] 2025-12-04T16:31:44.7628670Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2100s] [ 85%] 2025-12-04T16:31:44.7629368Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2987s] [ 85%] 2025-12-04T16:31:44.7630108Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2102s] [ 85%] 2025-12-04T16:31:44.7630750Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_multigraph_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1351s] [ 86%] 2025-12-04T16:31:44.7631435Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_no_graph_break_on_item_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0915s] [ 86%] 2025-12-04T16:31:44.7632111Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_pop_after_resume_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2152s] [ 86%] 2025-12-04T16:31:44.7632760Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_range_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1249s] [ 86%] 2025-12-04T16:31:44.7633446Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_range_iter_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1356s] [ 86%] 2025-12-04T16:31:44.7634099Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_state_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1930s] [ 86%] 2025-12-04T16:31:44.7634724Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1831s] [ 86%] 2025-12-04T16:31:44.7635368Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2815s] [ 86%] 2025-12-04T16:31:44.7635991Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2816s] [ 86%] 2025-12-04T16:31:44.7636631Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume4_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2816s] [ 86%] 2025-12-04T16:31:44.7637253Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume5_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1893s] [ 86%] 2025-12-04T16:31:44.7637966Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_freevars_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2586s] [ 86%] 2025-12-04T16:31:44.7638638Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_paths_join_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.4435s] [ 86%] 2025-12-04T16:31:44.7639334Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_tuple_iterator_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2585s] [ 86%] 2025-12-04T16:31:44.7640028Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3521s] [ 86%] 2025-12-04T16:31:44.7640705Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2597s] [ 86%] 2025-12-04T16:31:44.7641402Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1738s] [ 86%] 2025-12-04T16:31:44.7642049Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_stack_state1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2311s] [ 86%] 2025-12-04T16:31:44.7642724Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_stack_state2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3280s] [ 86%] 2025-12-04T16:31:44.7643389Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1312s] [ 87%] 2025-12-04T16:31:44.7644008Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2282s] [ 87%] 2025-12-04T16:31:44.7644634Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1136s] [ 87%] 2025-12-04T16:31:44.7645283Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start4_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1814s] [ 87%] 2025-12-04T16:31:44.7645986Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_tuple_iterator_mutate_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1266s] [ 87%] 2025-12-04T16:31:44.7646681Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_tuple_iterator_return_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3192s] [ 87%] 2025-12-04T16:31:44.7647425Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_access_module_attr_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1090s] [ 87%] 2025-12-04T16:31:44.7648257Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_allow_python_side_effects_utility_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0741s] [ 87%] 2025-12-04T16:31:44.7649003Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_constants_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1532s] [ 87%] 2025-12-04T16:31:44.7649811Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_global_num_adds_guard_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0645s] [ 87%] 2025-12-04T16:31:44.7650557Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_global_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0941s] [ 87%] 2025-12-04T16:31:44.7651385Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_input_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0961s] [ 87%] 2025-12-04T16:31:44.7652155Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_numpy_number_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1855s] [ 87%] 2025-12-04T16:31:44.7652887Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_tracked_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3128s] [ 87%] 2025-12-04T16:31:44.7653708Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_tracked_nested_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3222s] [ 87%] 2025-12-04T16:31:44.7654497Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_global_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2180s] [ 87%] 2025-12-04T16:31:44.7655330Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_global_nested_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0776s] [ 87%] 2025-12-04T16:31:44.7656122Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_nonlocal_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3075s] [ 87%] 2025-12-04T16:31:44.7656938Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_value_created_in_subgraph_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1318s] [ 87%] 2025-12-04T16:31:44.7657753Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_concat_unbacked_shape_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4371s] [ 87%] 2025-12-04T16:31:44.7658563Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_branches_no_arguments_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3075s] [ 88%] 2025-12-04T16:31:44.7659458Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_branches_no_arguments_no_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2259s] [ 88%] 2025-12-04T16:31:44.7660284Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_free_variable_in_both_branches_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2612s] [ 88%] 2025-12-04T16:31:44.7661082Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_graph_break_in_one_branch_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2695s] [ 88%] 2025-12-04T16:31:44.7661868Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_pytree_operands_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.7963s] [ 88%] 2025-12-04T16:31:44.7662726Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_pytree_operands_with_non_tensor_leaves_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0387s] [ 88%] 2025-12-04T16:31:44.7663534Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_side_effect_in_one_branches_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0791s] [ 88%] 2025-12-04T16:31:44.7664277Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4093s] [ 88%] 2025-12-04T16:31:44.7665075Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_subgraph_name_is_valid_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3958s] [ 88%] 2025-12-04T16:31:44.7665844Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_with_constant_pred_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1313s] [ 88%] 2025-12-04T16:31:44.7666631Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_with_empty_operands_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9988s] [ 88%] 2025-12-04T16:31:44.7667452Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_dynamic_shapes_over_vmap_batch_size_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.6660s] [ 88%] 2025-12-04T16:31:44.7668148Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_enum_arg_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2279s] [ 88%] 2025-12-04T16:31:44.7668905Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_error_message_sane_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0291s] [ 88%] 2025-12-04T16:31:44.7669758Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fallback_on_graph_break_complicated_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1481s] [ 88%] 2025-12-04T16:31:44.7670574Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fallback_on_graph_break_simple_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0506s] [ 88%] 2025-12-04T16:31:44.7671303Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_flat_list_output_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2498s] [ 88%] 2025-12-04T16:31:44.7672091Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fn_with_kwargs_in_torch_ops_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2201s] [ 88%] 2025-12-04T16:31:44.7672864Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_freevars_as_inputs_to_wrap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2671s] [ 88%] 2025-12-04T16:31:44.7673613Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_grad_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1331s] [ 88%] 2025-12-04T16:31:44.7674374Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2215s] [ 89%] 2025-12-04T16:31:44.7675195Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_incorrect_type_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1146s] [ 89%] 2025-12-04T16:31:44.7675966Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_no_hints_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0118s] [ 89%] 2025-12-04T16:31:44.7676753Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_pytree_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0025s] [ 89%] 2025-12-04T16:31:44.7677483Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hooks_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1252s] [ 89%] 2025-12-04T16:31:44.7678228Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hopify_generic_wrap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9996s] [ 89%] 2025-12-04T16:31:44.7678979Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_inlined_functions_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3625s] [ 89%] 2025-12-04T16:31:44.7679739Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_internal_nonlocal_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4068s] [ 89%] 2025-12-04T16:31:44.7680489Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensor_constant_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2165s] [ 89%] 2025-12-04T16:31:44.7681359Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensors_with_compound_expressions_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0019s] [ 89%] 2025-12-04T16:31:44.7682161Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensors_with_shared_symbols_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3485s] [ 89%] 2025-12-04T16:31:44.7682891Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_make_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3610s] [ 89%] 2025-12-04T16:31:44.7683776Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_example_value_metadata_consistent_with_eager_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [8.2380s] [ 89%] 2025-12-04T16:31:44.7684501Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2102s] [ 89%] 2025-12-04T16:31:44.7685248Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0128s] [ 89%] 2025-12-04T16:31:44.7685988Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_lowers_to_graph_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4839s] [ 89%] 2025-12-04T16:31:44.7686734Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_multi_return_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4537s] [ 89%] 2025-12-04T16:31:44.7687470Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_pytree_return_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6586s] [ 89%] 2025-12-04T16:31:44.7688196Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_side_effect_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1354s] [ 89%] 2025-12-04T16:31:44.7688949Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3941s] [ 89%] 2025-12-04T16:31:44.7689726Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_subgraph_name_is_valid_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9054s] [ 90%] 2025-12-04T16:31:44.7690523Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_symint_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4416s] [ 90%] 2025-12-04T16:31:44.7691309Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_modules_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1082s] [ 90%] 2025-12-04T16:31:44.7692077Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_nested_tuple_output_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4055s] [ 90%] 2025-12-04T16:31:44.7692786Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_nested_wrap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4525s] [ 90%] 2025-12-04T16:31:44.7693543Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_no_freevars_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2125s] [ 90%] 2025-12-04T16:31:44.7694286Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_output_with_dict_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2133s] [ 90%] 2025-12-04T16:31:44.7695008Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_register_mode_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0028s] [ 90%] 2025-12-04T16:31:44.7695761Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_register_subclass_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0028s] [ 90%] 2025-12-04T16:31:44.7696505Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_var_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2095s] [ 90%] 2025-12-04T16:31:44.7697366Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_var_used_multiple_times_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [5.5142s] [ 90%] 2025-12-04T16:31:44.7698123Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_vars_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2508s] [ 90%] 2025-12-04T16:31:44.7698864Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_same_freevar_twice_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2775s] [ 90%] 2025-12-04T16:31:44.7699731Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_global_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0595s] [ 90%] 2025-12-04T16:31:44.7700570Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_global_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0560s] [ 90%] 2025-12-04T16:31:44.7701483Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1865s] [ 90%] 2025-12-04T16:31:44.7702334Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0635s] [ 90%] 2025-12-04T16:31:44.7703085Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_in_body_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0480s] [ 90%] 2025-12-04T16:31:44.7703940Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_local_list_append_no_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2673s] [ 90%] 2025-12-04T16:31:44.7704884Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_list_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0858s] [ 90%] 2025-12-04T16:31:44.7705743Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_num_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0853s] [ 91%] 2025-12-04T16:31:44.7706626Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0837s] [ 91%] 2025-12-04T16:31:44.7707484Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_tensor_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1390s] [ 91%] 2025-12-04T16:31:44.7708289Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1390s] [ 91%] 2025-12-04T16:31:44.7709197Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_num_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0916s] [ 91%] 2025-12-04T16:31:44.7710002Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0911s] [ 91%] 2025-12-04T16:31:44.7710863Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0958s] [ 91%] 2025-12-04T16:31:44.7711698Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0973s] [ 91%] 2025-12-04T16:31:44.7712591Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_nested_nonlocal_list_append_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1230s] [ 91%] 2025-12-04T16:31:44.7713476Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_nonlocal_list_append_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1150s] [ 91%] 2025-12-04T16:31:44.7714329Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_global_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0600s] [ 91%] 2025-12-04T16:31:44.7715183Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_global_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0962s] [ 91%] 2025-12-04T16:31:44.7716052Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1895s] [ 91%] 2025-12-04T16:31:44.7716922Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1019s] [ 91%] 2025-12-04T16:31:44.7717789Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_global_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0935s] [ 91%] 2025-12-04T16:31:44.7718597Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_global_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0918s] [ 91%] 2025-12-04T16:31:44.7719450Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2229s] [ 91%] 2025-12-04T16:31:44.7720268Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0973s] [ 91%] 2025-12-04T16:31:44.7721046Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_support_float_in_output_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0710s] [ 91%] 2025-12-04T16:31:44.7721775Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_symint_in_slice_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7169s] [ 92%] 2025-12-04T16:31:44.7722551Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_symint_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2662s] [ 92%] 2025-12-04T16:31:44.7723400Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_and_unbacked_symbol_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4362s] [ 92%] 2025-12-04T16:31:44.7724155Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_to_list_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1195s] [ 92%] 2025-12-04T16:31:44.7724989Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_with_unbacked_shape_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3979s] [ 92%] 2025-12-04T16:31:44.7725791Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_unbacked_symbol_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2398s] [ 92%] 2025-12-04T16:31:44.7726562Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_vmap_multiply_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.9080s] [ 92%] 2025-12-04T16:31:44.7727314Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_vmap_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3937s] [ 92%] 2025-12-04T16:31:44.7728029Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_all_kwarg_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3660s] [ 92%] 2025-12-04T16:31:44.7728844Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_allow_local_assign_in_body_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2048s] [ 92%] 2025-12-04T16:31:44.7729687Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_inductor_compiled_regions_option_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.8337s] [ 92%] 2025-12-04T16:31:44.7730574Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_inductor_compiled_regions_with_backward_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.2887s] [ 92%] 2025-12-04T16:31:44.7731413Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4182s] [ 92%] 2025-12-04T16:31:44.7732224Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_else_branch_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3149s] [ 92%] 2025-12-04T16:31:44.7733006Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_if_branch_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3699s] [ 92%] 2025-12-04T16:31:44.7733780Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3386s] [ 92%] 2025-12-04T16:31:44.7734594Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_int_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2495s] [ 92%] 2025-12-04T16:31:44.7735326Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_only_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3675s] [ 92%] 2025-12-04T16:31:44.7736092Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_recompile_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2267s] [ 92%] 2025-12-04T16:31:44.7736852Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_nested_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2014s] [ 92%] 2025-12-04T16:31:44.7737707Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_not_const_symint_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0606s] [ 93%] 2025-12-04T16:31:44.7738571Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_with_symint_constant_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3197s] [ 93%] 2025-12-04T16:31:44.7739343Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4279s] [ 93%] 2025-12-04T16:31:44.7740101Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1720s] [ 93%] 2025-12-04T16:31:44.7740884Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_subgraph_name_is_valid_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1594s] [ 93%] 2025-12-04T16:31:44.7741843Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_disable_inline_nn_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5444s] [ 93%] 2025-12-04T16:31:44.7742647Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2957s] [ 93%] 2025-12-04T16:31:44.7743607Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_sequential_params_and_buffers_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1914s] [ 93%] 2025-12-04T16:31:44.7744471Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_call_compiled_backward_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.7802s] [ 93%] 2025-12-04T16:31:44.7745308Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_call_torch_compile_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0094s] [ 93%] 2025-12-04T16:31:44.7746134Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_capture_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1998s] [ 93%] 2025-12-04T16:31:44.7746950Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_closure_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3254s] [ 93%] 2025-12-04T16:31:44.7747704Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2940s] [ 93%] 2025-12-04T16:31:44.7748506Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_fn_with_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3409s] [ 93%] 2025-12-04T16:31:44.7749365Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_freevar_python_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3243s] [ 93%] 2025-12-04T16:31:44.7750203Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_freevar_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6070s] [ 93%] 2025-12-04T16:31:44.7750973Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3259s] [ 93%] 2025-12-04T16:31:44.7751797Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_non_tensor_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2982s] [ 93%] 2025-12-04T16:31:44.7752576Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_over_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1260s] [ 93%] 2025-12-04T16:31:44.7753357Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_pytree_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5200s] [ 93%] 2025-12-04T16:31:44.7754149Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_recompile_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0955s] [ 94%] 2025-12-04T16:31:44.7755070Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_two_tensor_all_grad_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.8475s] [ 94%] 2025-12-04T16:31:44.7755889Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_two_tensor_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3680s] [ 94%] 2025-12-04T16:31:44.7756705Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_with_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1383s] [ 94%] 2025-12-04T16:31:44.7757533Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_with_side_effect_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4773s] [ 94%] 2025-12-04T16:31:44.7758359Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_hessian_argnums_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.6556s] [ 94%] 2025-12-04T16:31:44.7759134Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_hessian_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.1533s] [ 94%] 2025-12-04T16:31:44.7759885Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7637s] [ 94%] 2025-12-04T16:31:44.7760684Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9204s] [ 94%] 2025-12-04T16:31:44.7761493Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_randomness_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.0327s] [ 94%] 2025-12-04T16:31:44.7762342Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_two_tensors_argnums_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7684s] [ 94%] 2025-12-04T16:31:44.7763108Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5582s] [ 94%] 2025-12-04T16:31:44.7763892Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5926s] [ 94%] 2025-12-04T16:31:44.7764753Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_two_tensors_argnums_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5849s] [ 94%] 2025-12-04T16:31:44.7765589Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_call_torch_compile_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0098s] [ 94%] 2025-12-04T16:31:44.7766472Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_freevar_python_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5351s] [ 94%] 2025-12-04T16:31:44.7767277Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_freevar_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4724s] [ 94%] 2025-12-04T16:31:44.7768042Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2695s] [ 94%] 2025-12-04T16:31:44.7768962Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_jvp_dynamic_shapes <- test/dynamo/test_higher_order_ops.py SKIPPED [0.0016s] (test fails with dynamic shapes) [ 94%] 2025-12-04T16:31:44.7769727Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_simple_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2631s] [ 94%] 2025-12-04T16:31:44.7770663Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_enable_disable_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2650s] [ 95%] 2025-12-04T16:31:44.7771678Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2633s] [ 95%] 2025-12-04T16:31:44.7772513Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4652s] [ 95%] 2025-12-04T16:31:44.7773311Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_linearize_jvp_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5801s] [ 95%] 2025-12-04T16:31:44.7774237Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_teardown_resets_nested_graph_breaks_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0016s] [ 95%] 2025-12-04T16:31:44.7775119Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_call_compiled_backward_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0945s] [ 95%] 2025-12-04T16:31:44.7775850Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0946s] [ 95%] 2025-12-04T16:31:44.7776629Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0942s] [ 95%] 2025-12-04T16:31:44.7777452Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_multiple_outputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1883s] [ 95%] 2025-12-04T16:31:44.7778356Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_multiple_outputs_python_struct_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2047s] [ 95%] 2025-12-04T16:31:44.7779222Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_call_compiled_backward_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0929s] [ 95%] 2025-12-04T16:31:44.7780065Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_call_torch_compile_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0091s] [ 95%] 2025-12-04T16:31:44.7780820Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2003s] [ 95%] 2025-12-04T16:31:44.7781612Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_free_const_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2228s] [ 95%] 2025-12-04T16:31:44.7782465Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_free_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4696s] [ 95%] 2025-12-04T16:31:44.7783258Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_get_wrapped_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0258s] [ 95%] 2025-12-04T16:31:44.7784050Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5378s] [ 95%] 2025-12-04T16:31:44.7784927Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_in_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.8359s] [ 95%] 2025-12-04T16:31:44.7785809Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_out_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7173s] [ 95%] 2025-12-04T16:31:44.7786690Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_diff_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2872s] [ 96%] 2025-12-04T16:31:44.7787516Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2144s] [ 96%] 2025-12-04T16:31:44.7788480Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_out_dims_tuple_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3161s] [ 96%] 2025-12-04T16:31:44.7789342Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_implicit_via_op_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1921s] [ 96%] 2025-12-04T16:31:44.7790175Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_in_body_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2995s] [ 96%] 2025-12-04T16:31:44.7791059Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_unused_in_body_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1747s] [ 96%] 2025-12-04T16:31:44.7791862Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_out_dims_None_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3521s] [ 96%] 2025-12-04T16:31:44.7792707Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_over_vmap_captured_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5954s] [ 96%] 2025-12-04T16:31:44.7793542Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_over_vmap_two_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4331s] [ 96%] 2025-12-04T16:31:44.7794463Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_previous_illegal_op_no_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6793s] [ 96%] 2025-12-04T16:31:44.7795278Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_pytree_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3184s] [ 96%] 2025-12-04T16:31:44.7796179Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_different_config_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1078s] [ 96%] 2025-12-04T16:31:44.7796975Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1029s] [ 96%] 2025-12-04T16:31:44.7797837Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_same_config_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1074s] [ 96%] 2025-12-04T16:31:44.7798712Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_with_randomness_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1067s] [ 96%] 2025-12-04T16:31:44.7799611Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_side_effects_append_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py XFAIL [0.2085s] [ 96%] 2025-12-04T16:31:44.7800429Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_side_effects_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3033s] [ 96%] 2025-12-04T16:31:44.7801218Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_two_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3450s] [ 96%] 2025-12-04T16:31:44.7802080Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_two_inputs_tuple_in_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4287s] [ 96%] 2025-12-04T16:31:44.7802963Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_conditional_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4269s] [ 96%] 2025-12-04T16:31:44.7803803Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_2_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1744s] [ 97%] 2025-12-04T16:31:44.7804854Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1715s] [ 97%] 2025-12-04T16:31:44.7805708Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_lambda_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1481s] [ 97%] 2025-12-04T16:31:44.7806422Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_LSTM_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0940s] [ 97%] 2025-12-04T16:31:44.7807208Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_alias_inputs_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2040s] [ 97%] 2025-12-04T16:31:44.7808087Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_backwards_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.7989s] [ 97%] 2025-12-04T16:31:44.7808932Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_error_dynamic_shapes <- test/dynamo/test_aot_autograd.py XFAIL [0.4782s] [ 97%] 2025-12-04T16:31:44.7809846Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_functionalizes_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.5267s] [ 97%] 2025-12-04T16:31:44.7810692Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_raises_invalid_leaf_set_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.7374s] [ 97%] 2025-12-04T16:31:44.7811817Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_stride_reconstruction_on_zero_dim_dynamic_shaped_tensor_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [3.3968s] [ 97%] 2025-12-04T16:31:44.7812646Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_export_joint_simple_repro_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.7948s] [ 97%] 2025-12-04T16:31:44.7813421Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_grad_mode_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.1149s] [ 97%] 2025-12-04T16:31:44.7814181Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_sequence_nr_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3154s] [ 97%] 2025-12-04T16:31:44.7815002Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.2943s] [ 97%] 2025-12-04T16:31:44.7815926Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [4.5996s] [ 97%] 2025-12-04T16:31:44.7816817Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.1071s] [ 97%] 2025-12-04T16:31:44.7817770Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.1666s] [ 97%] 2025-12-04T16:31:44.7818761Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_list_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.1707s] [ 97%] 2025-12-04T16:31:44.7819655Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_with_global_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.6867s] [ 97%] 2025-12-04T16:31:44.7820517Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_autograd_function_tangent_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2698s] [ 97%] 2025-12-04T16:31:44.7821415Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_safe_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3764s] [ 98%] 2025-12-04T16:31:44.7822343Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_control_flow_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3929s] [ 98%] 2025-12-04T16:31:44.7823193Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2054s] [ 98%] 2025-12-04T16:31:44.7823992Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_copy_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0050s] [ 98%] 2025-12-04T16:31:44.7824842Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_fails_in_backward_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1477s] [ 98%] 2025-12-04T16:31:44.7825665Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_fails_in_forward_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1441s] [ 98%] 2025-12-04T16:31:44.7826591Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_different_inputs_overlapping_set_with_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.1746s] [ 98%] 2025-12-04T16:31:44.7827344Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer1_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.2943s] [ 98%] 2025-12-04T16:31:44.7828110Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer2_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3165s] [ 98%] 2025-12-04T16:31:44.7828864Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer3_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.2783s] [ 98%] 2025-12-04T16:31:44.7829617Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer4_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.7760s] [ 98%] 2025-12-04T16:31:44.7830379Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer5_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.4280s] [ 98%] 2025-12-04T16:31:44.7831129Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer6_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0035s] [ 98%] 2025-12-04T16:31:44.7832058Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph1_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.7246s] [ 98%] 2025-12-04T16:31:44.7832935Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph2_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.7084s] [ 98%] 2025-12-04T16:31:44.7833832Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph3_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.7179s] [ 98%] 2025-12-04T16:31:44.7834707Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph4_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.7156s] [ 98%] 2025-12-04T16:31:44.7835505Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_double_backward_errors_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.5956s] [ 98%] 2025-12-04T16:31:44.7836282Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_eager_sequence_nr_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [229.2293s] [ 98%] 2025-12-04T16:31:44.7837098Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_grad_inputs_alias_inputs_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1057s] [ 98%] 2025-12-04T16:31:44.7838040Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_inputs_overlapping_with_mutation_recompile_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.9028s] [ 99%] 2025-12-04T16:31:44.7839205Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_inputs_overlapping_with_mutation_stress_dynamic_shapes <- test/dynamo/test_aot_autograd.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 99%] 2025-12-04T16:31:44.7840026Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_joint_custom_pass_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2991s] [ 99%] 2025-12-04T16:31:44.7840872Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_multiple_aot_autograd_calls_dupe_args_dynamic_shapes <- test/dynamo/test_aot_autograd.py XFAIL [0.0736s] [ 99%] 2025-12-04T16:31:44.7841613Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_mutation1_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.6347s] [ 99%] 2025-12-04T16:31:44.7842334Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1010s] [ 99%] 2025-12-04T16:31:44.7843093Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_negative_testing_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1779s] [ 99%] 2025-12-04T16:31:44.7843914Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_negative_testing_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.2975s] [ 99%] 2025-12-04T16:31:44.7844726Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_nn_parameter_construction_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.4332s] [ 99%] 2025-12-04T16:31:44.7845595Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_no_storage_overlap_guards_no_aliasing_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2653s] [ 99%] 2025-12-04T16:31:44.7846448Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_no_storage_overlap_guards_no_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1835s] [ 99%] 2025-12-04T16:31:44.7847326Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_requires_grad_fake_via_dynamo_recompiles_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.8156s] [ 99%] 2025-12-04T16:31:44.7848261Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_split_with_sizes_aot_autograd_cleans_up_traceback_meta_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0038s] [ 99%] 2025-12-04T16:31:44.7849190Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_unbacked_activation_specialized_in_inductor_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [3.3968s] [ 99%] 2025-12-04T16:31:44.7849850Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_graph_break_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.1941s] [ 99%] 2025-12-04T16:31:44.7850462Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_input_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.1182s] [ 99%] 2025-12-04T16:31:44.7851305Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_intermediate_attr_access_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.0844s] [ 99%] 2025-12-04T16:31:44.7851935Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_returns_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.0710s] [ 99%] 2025-12-04T16:31:44.7852613Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_sdpa_c_functions_no_graph_break_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.0344s] [ 99%] 2025-12-04T16:31:44.7853355Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_sdpa_kernel_decorator_with_compile_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [1.3678s] [100%] 2025-12-04T16:31:44.7853365Z 2025-12-04T16:31:44.7854153Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-0e8ef72f00192ba7.xml - 2025-12-04T16:31:44.7854398Z ========== 1918 passed, 32 skipped, 27 xfailed in 1775.67s (0:29:35) =========== 2025-12-04T16:31:44.7854524Z Got exit code -2 (SIGINT) 2025-12-04T16:31:44.7854634Z Retrying single test... 2025-12-04T16:31:44.7855137Z [W1204 15:36:53.205822578 unwind.cpp:219] Warning: Unsupported unwinding pattern: Address not in range (function unwinderFor) 2025-12-04T16:31:44.7855697Z [W1204 15:36:53.205853359 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.7855704Z 2025-12-04T16:31:44.7856236Z [W1204 15:37:09.884838831 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.7856245Z 2025-12-04T16:31:44.7856816Z Test results will be stored in test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-b776495d1358f465.xml 2025-12-04T16:31:44.7856998Z ============================= test session starts ============================== 2025-12-04T16:31:44.7857355Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T16:31:44.7857467Z cachedir: .pytest_cache 2025-12-04T16:31:44.7858003Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T16:31:44.7858133Z rootdir: /var/lib/jenkins/workspace 2025-12-04T16:31:44.7858243Z configfile: pytest.ini 2025-12-04T16:31:44.7858846Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T16:31:44.7858967Z collecting ... collected 1977 items 2025-12-04T16:31:44.7859163Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T16:31:44.7859281Z Running 1977 items in this shard 2025-12-04T16:31:44.7859287Z 2025-12-04T16:31:44.7860025Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_311_resume_block_keyerror2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4891s] [ 0%] 2025-12-04T16:31:44.7860766Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_311_resume_block_keyerror_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4247s] [ 0%] 2025-12-04T16:31:44.7861510Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_arguments_binding_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2451s] [ 0%] 2025-12-04T16:31:44.7862223Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0712s] [ 0%] 2025-12-04T16:31:44.7862951Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3270s] [ 0%] 2025-12-04T16:31:44.7863679Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4133s] [ 0%] 2025-12-04T16:31:44.7864450Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_inner_fn_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.7917s] [ 0%] 2025-12-04T16:31:44.7865147Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [1.1239s] [ 0%] 2025-12-04T16:31:44.7865846Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_device_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0638s] [ 0%] 2025-12-04T16:31:44.7866522Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0635s] [ 0%] 2025-12-04T16:31:44.7867252Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_float64_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0634s] [ 0%] 2025-12-04T16:31:44.7867992Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_graph_break_method_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3676s] [ 0%] 2025-12-04T16:31:44.7868855Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_sdpa_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0003s] (Can't run fused SDPA on this platform) [ 0%] 2025-12-04T16:31:44.7870226Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autograd_profiler_dynamic_shapes <- test/dynamo/test_ctx_manager.py W1204 15:37:14.859000 158253 site-packages/torch/_logging/_internal.py:1204] [0/0] Profiler function will be ignored 2025-12-04T16:31:44.7870898Z W1204 15:37:14.869000 158253 site-packages/torch/_logging/_internal.py:1204] [0/0] Profiler function will be ignored 2025-12-04T16:31:44.7871016Z PASSED [0.3584s] [ 0%] 2025-12-04T16:31:44.7871756Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autograd_profiler_enabled_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2134s] [ 0%] 2025-12-04T16:31:44.7872550Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_grad_mode_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2822s] [ 0%] 2025-12-04T16:31:44.7873414Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_grad_mode_nested_function_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2811s] [ 0%] 2025-12-04T16:31:44.7874261Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_set_grad_enabled_nested_function_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1422s] [ 0%] 2025-12-04T16:31:44.7874966Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_amp_autocast_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0570s] [ 0%] 2025-12-04T16:31:44.7875623Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_device_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1061s] [ 1%] 2025-12-04T16:31:44.7876825Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_across_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0003s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.7878061Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_created_outside_of_graph_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0002s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.7879350Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_method_create_stream_outside_of_compile_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0002s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.7880042Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_method_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2296s] [ 1%] 2025-12-04T16:31:44.7881200Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_reconstruct_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0003s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.7881944Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_across_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py XFAIL [0.2119s] [ 1%] 2025-12-04T16:31:44.7882750Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_compared_with_constant_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.5022s] [ 1%] 2025-12-04T16:31:44.7883551Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_compared_with_stream_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3482s] [ 1%] 2025-12-04T16:31:44.7884295Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_context_manager1_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2009s] [ 1%] 2025-12-04T16:31:44.7885041Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_context_manager2_dynamic_shapes <- test/dynamo/test_ctx_manager.py XFAIL [0.2572s] [ 1%] 2025-12-04T16:31:44.7885762Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_method_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2395s] [ 1%] 2025-12-04T16:31:44.7886508Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0491s] [ 1%] 2025-12-04T16:31:44.7887302Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1051s] [ 1%] 2025-12-04T16:31:44.7888111Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_prev_disabled_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0465s] [ 1%] 2025-12-04T16:31:44.7888958Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_prev_disabled_nested_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0487s] [ 1%] 2025-12-04T16:31:44.7889802Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3627s] [ 1%] 2025-12-04T16:31:44.7890651Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3914s] [ 1%] 2025-12-04T16:31:44.7891675Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_with_graph_break_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2480s] [ 1%] 2025-12-04T16:31:44.7892603Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_with_graph_break_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0798s] [ 1%] 2025-12-04T16:31:44.7893591Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_ctx_manager_with_graph_break_CustomizedCtxManagerWithGraphBreak_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1409s] [ 2%] 2025-12-04T16:31:44.7894594Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_ctx_manager_with_graph_break_customized_ctx_manager_with_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0187s] [ 2%] 2025-12-04T16:31:44.7895286Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_grad_mode_guard_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2467s] [ 2%] 2025-12-04T16:31:44.7896034Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_graph_break_inlining_autocast_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.7930s] [ 2%] 2025-12-04T16:31:44.7896776Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_graph_break_inlining_grad_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2632s] [ 2%] 2025-12-04T16:31:44.7897557Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1575s] [ 2%] 2025-12-04T16:31:44.7898380Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_nullctx2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1635s] [ 2%] 2025-12-04T16:31:44.7899257Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_nullctx_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1563s] [ 2%] 2025-12-04T16:31:44.7900038Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_stack2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1794s] [ 2%] 2025-12-04T16:31:44.7900830Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_stack_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1614s] [ 2%] 2025-12-04T16:31:44.7901581Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_is_autocast_cpu_enabled_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1567s] [ 2%] 2025-12-04T16:31:44.7902474Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3926s] [ 2%] 2025-12-04T16:31:44.7903344Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4204s] [ 2%] 2025-12-04T16:31:44.7904304Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_with_graph_break_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4865s] [ 2%] 2025-12-04T16:31:44.7905434Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_with_graph_break_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1630s] [ 2%] 2025-12-04T16:31:44.7906179Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_grad_mode_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.5970s] [ 2%] 2025-12-04T16:31:44.7906832Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_no_grad_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [1.1205s] [ 2%] 2025-12-04T16:31:44.7907555Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_return_context_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0409s] [ 2%] 2025-12-04T16:31:44.7908363Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_return_context_manager_with_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1314s] [ 2%] 2025-12-04T16:31:44.7909090Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager1_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [52.8373s] [ 2%] 2025-12-04T16:31:44.7910168Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager2_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0006s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 3%] 2025-12-04T16:31:44.7910892Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager3_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2222s] [ 3%] 2025-12-04T16:31:44.7911674Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_as_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2545s] [ 3%] 2025-12-04T16:31:44.7912436Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_kwargs_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1075s] [ 3%] 2025-12-04T16:31:44.7913213Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_set_priority_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1261s] [ 3%] 2025-12-04T16:31:44.7913981Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_store_attr_graph_break_key_error_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1546s] [ 3%] 2025-12-04T16:31:44.7915359Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_torch_profiler_dynamic_shapes <- test/dynamo/test_ctx_manager.py W1204 15:38:19.182000 158253 site-packages/torch/_logging/_internal.py:1204] [0/0] Profiler function will be ignored 2025-12-04T16:31:44.7915477Z PASSED [0.3302s] [ 3%] 2025-12-04T16:31:44.7916253Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_torch_profiler_use_after_with_block_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0242s] [ 3%] 2025-12-04T16:31:44.7916847Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_T_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1377s] [ 3%] 2025-12-04T16:31:44.7917507Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_add__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1580s] [ 3%] 2025-12-04T16:31:44.7918106Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1109s] [ 3%] 2025-12-04T16:31:44.7918748Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcdiv__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1886s] [ 3%] 2025-12-04T16:31:44.7919372Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcdiv_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1705s] [ 3%] 2025-12-04T16:31:44.7920000Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcmul__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1601s] [ 3%] 2025-12-04T16:31:44.7920756Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_are_functorch_transforms_active_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0861s] [ 3%] 2025-12-04T16:31:44.7921405Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_attrgetter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [3.5554s] [ 3%] 2025-12-04T16:31:44.7922110Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_broadcast_foreach_pow_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0539s] [ 3%] 2025-12-04T16:31:44.7922782Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_build_list_unpack_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1967s] [ 3%] 2025-12-04T16:31:44.7923427Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1386s] [ 3%] 2025-12-04T16:31:44.7924058Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0939s] [ 3%] 2025-12-04T16:31:44.7924688Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1627s] [ 4%] 2025-12-04T16:31:44.7925368Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1639s] [ 4%] 2025-12-04T16:31:44.7926004Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1622s] [ 4%] 2025-12-04T16:31:44.7926694Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_builtin_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0851s] [ 4%] 2025-12-04T16:31:44.7927350Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_class_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7842s] [ 4%] 2025-12-04T16:31:44.7928013Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0855s] [ 4%] 2025-12-04T16:31:44.7928684Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1315s] [ 4%] 2025-12-04T16:31:44.7929342Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_torch_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0866s] [ 4%] 2025-12-04T16:31:44.7930011Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_chunks1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2617s] [ 4%] 2025-12-04T16:31:44.7930675Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_class_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0687s] [ 4%] 2025-12-04T16:31:44.7931417Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_eq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1547s] [ 4%] 2025-12-04T16:31:44.7932058Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0890s] [ 4%] 2025-12-04T16:31:44.7932707Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_is_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1529s] [ 4%] 2025-12-04T16:31:44.7933444Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_compare_constant_and_tensor_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.4423s] [ 4%] 2025-12-04T16:31:44.7934111Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_complex_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0174s] [ 4%] 2025-12-04T16:31:44.7934783Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_const_tuple_add1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1331s] [ 4%] 2025-12-04T16:31:44.7935443Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_const_tuple_add2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1308s] [ 4%] 2025-12-04T16:31:44.7936079Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1782s] [ 4%] 2025-12-04T16:31:44.7936735Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1653s] [ 4%] 2025-12-04T16:31:44.7937369Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0886s] [ 5%] 2025-12-04T16:31:44.7938017Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1107s] [ 5%] 2025-12-04T16:31:44.7938661Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1593s] [ 5%] 2025-12-04T16:31:44.7939485Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_context_wrapping_nested_functions_no_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1066s] [ 5%] 2025-12-04T16:31:44.7940156Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cublas_allow_tf32_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1127s] [ 5%] 2025-12-04T16:31:44.7940853Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_custom_dict_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0497s] [ 5%] 2025-12-04T16:31:44.7941550Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1710s] [ 5%] 2025-12-04T16:31:44.7942230Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_constr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1919s] [ 5%] 2025-12-04T16:31:44.7942912Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1603s] [ 5%] 2025-12-04T16:31:44.7943589Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1610s] [ 5%] 2025-12-04T16:31:44.7944259Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1608s] [ 5%] 2025-12-04T16:31:44.7944933Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1605s] [ 5%] 2025-12-04T16:31:44.7945664Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_tuple_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1606s] [ 5%] 2025-12-04T16:31:44.7946390Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0886s] [ 5%] 2025-12-04T16:31:44.7947099Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0884s] [ 5%] 2025-12-04T16:31:44.7947867Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0883s] [ 5%] 2025-12-04T16:31:44.7948471Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_del_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1452s] [ 5%] 2025-12-04T16:31:44.7949088Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_deque_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1085s] [ 5%] 2025-12-04T16:31:44.7949761Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_device_constant_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0896s] [ 5%] 2025-12-04T16:31:44.7950376Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_device_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0889s] [ 5%] 2025-12-04T16:31:44.7951012Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_copy_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2468s] [ 6%] 2025-12-04T16:31:44.7951666Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_fromkeys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2193s] [ 6%] 2025-12-04T16:31:44.7952314Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1429s] [ 6%] 2025-12-04T16:31:44.7952974Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_id_guard_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0925s] [ 6%] 2025-12-04T16:31:44.7953641Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_items_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1064s] [ 6%] 2025-12-04T16:31:44.7954293Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2022s] [ 6%] 2025-12-04T16:31:44.7954936Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1893s] [ 6%] 2025-12-04T16:31:44.7955626Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1765s] [ 6%] 2025-12-04T16:31:44.7956255Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_keys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0911s] [ 6%] 2025-12-04T16:31:44.7956896Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1107s] [ 6%] 2025-12-04T16:31:44.7957568Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_mutable_map_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5875s] [ 6%] 2025-12-04T16:31:44.7958191Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_ops_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2123s] [ 6%] 2025-12-04T16:31:44.7958855Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_param_keys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1042s] [ 6%] 2025-12-04T16:31:44.7959523Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0911s] [ 6%] 2025-12-04T16:31:44.7960186Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0916s] [ 6%] 2025-12-04T16:31:44.7960939Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0917s] [ 6%] 2025-12-04T16:31:44.7961582Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0937s] [ 6%] 2025-12-04T16:31:44.7962277Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_tuple_lazy_guard_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1757s] [ 6%] 2025-12-04T16:31:44.7962946Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_update_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3749s] [ 6%] 2025-12-04T16:31:44.7963630Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_update_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1064s] [ 6%] 2025-12-04T16:31:44.7964270Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_values_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1055s] [ 7%] 2025-12-04T16:31:44.7964983Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_distributed_is_available_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0918s] [ 7%] 2025-12-04T16:31:44.7965717Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_distributed_is_initialized_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0916s] [ 7%] 2025-12-04T16:31:44.7966365Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dtype_compare_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1380s] [ 7%] 2025-12-04T16:31:44.7966993Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dtype_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0923s] [ 7%] 2025-12-04T16:31:44.7967618Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_elipsis_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7182s] [ 7%] 2025-12-04T16:31:44.7968423Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_custom_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0804s] [ 7%] 2025-12-04T16:31:44.7969073Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1128s] [ 7%] 2025-12-04T16:31:44.7970100Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py SKIPPED [0.0003s] (https://github.com/pytorch/pytorch/pull/146527 exposed a bug) [ 7%] 2025-12-04T16:31:44.7970734Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3359s] [ 7%] 2025-12-04T16:31:44.7971544Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_fallback_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4389s] [ 7%] 2025-12-04T16:31:44.7972298Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_graph_break_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1519s] [ 7%] 2025-12-04T16:31:44.7973001Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_infinite_iterator_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0589s] [ 7%] 2025-12-04T16:31:44.7973685Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0921s] [ 7%] 2025-12-04T16:31:44.7974389Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_with_graph_break_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3106s] [ 7%] 2025-12-04T16:31:44.7975008Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_finfo_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1103s] [ 7%] 2025-12-04T16:31:44.7975740Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_flat_param_same_storage_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2738s] [ 7%] 2025-12-04T16:31:44.7976423Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_float_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0912s] [ 7%] 2025-12-04T16:31:44.7977087Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fn_with_self_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [50.4815s] [ 7%] 2025-12-04T16:31:44.7977774Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_foreach_lerp__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2838s] [ 7%] 2025-12-04T16:31:44.7978407Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1158s] [ 8%] 2025-12-04T16:31:44.7979085Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0890s] [ 8%] 2025-12-04T16:31:44.7979725Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0876s] [ 8%] 2025-12-04T16:31:44.7980374Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0828s] [ 8%] 2025-12-04T16:31:44.7981008Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0812s] [ 8%] 2025-12-04T16:31:44.7981642Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings6_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0891s] [ 8%] 2025-12-04T16:31:44.7982325Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_funcdef_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2189s] [ 8%] 2025-12-04T16:31:44.7983022Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_cache_guard_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0784s] [ 8%] 2025-12-04T16:31:44.7983755Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_partial_binding_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0710s] [ 8%] 2025-12-04T16:31:44.7984431Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_partial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3152s] [ 8%] 2025-12-04T16:31:44.7985152Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1152s] [ 8%] 2025-12-04T16:31:44.7985894Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_subclass_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1140s] [ 8%] 2025-12-04T16:31:44.7986666Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_user_methods_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1176s] [ 8%] 2025-12-04T16:31:44.7987367Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_autocast_gpu_dtype_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0925s] [ 8%] 2025-12-04T16:31:44.7988076Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_calculate_correct_fan_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0962s] [ 8%] 2025-12-04T16:31:44.7988751Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_default_dtype_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0860s] [ 8%] 2025-12-04T16:31:44.7989510Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_device_properties_tensor_device_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1139s] [ 8%] 2025-12-04T16:31:44.7990195Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_privateuse1_name_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0861s] [ 8%] 2025-12-04T16:31:44.7990832Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_getattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0913s] [ 8%] 2025-12-04T16:31:44.7992078Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_getattr_metaclass_dynamic_shapes <- test/dynamo/test_functions.py [W1204 15:39:31.168163637 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.7992085Z 2025-12-04T16:31:44.7992201Z XFAIL [0.0517s] [ 9%] 2025-12-04T16:31:44.7992830Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalfn_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1122s] [ 9%] 2025-12-04T16:31:44.7993482Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalmodule_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1101s] [ 9%] 2025-12-04T16:31:44.7994159Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalvar_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1577s] [ 9%] 2025-12-04T16:31:44.7994784Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_import1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1332s] [ 9%] 2025-12-04T16:31:44.7995420Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_in_not_in_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0916s] [ 9%] 2025-12-04T16:31:44.7996026Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_index_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.6717s] [ 9%] 2025-12-04T16:31:44.7996691Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indexed_range_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0050s] [ 9%] 2025-12-04T16:31:44.7997324Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1148s] [ 9%] 2025-12-04T16:31:44.7997955Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1141s] [ 9%] 2025-12-04T16:31:44.7998601Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1137s] [ 9%] 2025-12-04T16:31:44.7999318Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_jit__unwrap_optional_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0938s] [ 9%] 2025-12-04T16:31:44.8000025Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_jit_annotations_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1172s] [ 9%] 2025-12-04T16:31:44.8000778Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_lru_cache_fn_with_default_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1079s] [ 9%] 2025-12-04T16:31:44.8001606Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_script_if_tracing_fn_with_default_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1485s] [ 9%] 2025-12-04T16:31:44.8002272Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_softmax_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1788s] [ 9%] 2025-12-04T16:31:44.8002958Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_with_default_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1561s] [ 9%] 2025-12-04T16:31:44.8003628Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inner_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0904s] [ 9%] 2025-12-04T16:31:44.8004320Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_any_autocast_enabled_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0861s] [ 9%] 2025-12-04T16:31:44.8005153Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_checkpoint_valid_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0866s] [ 9%] 2025-12-04T16:31:44.8005792Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_complex_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5981s] [ 10%] 2025-12-04T16:31:44.8006567Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_contiguous_frame_counts_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.0361s] [ 10%] 2025-12-04T16:31:44.8007341Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_contiguous_memory_format_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1039s] [ 10%] 2025-12-04T16:31:44.8007938Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1167s] [ 10%] 2025-12-04T16:31:44.8008619Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_floating_point_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0869s] [ 10%] 2025-12-04T16:31:44.8010577Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_fx_tracing_dynamic_shapes <- test/dynamo/test_functions.py W1204 15:39:36.120000 158253 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T16:31:44.8010700Z PASSED [0.0875s] [ 10%] 2025-12-04T16:31:44.8011457Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_in_onnx_export_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0841s] [ 10%] 2025-12-04T16:31:44.8012238Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_inference_mode_global_recompilation_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1216s] [ 10%] 2025-12-04T16:31:44.8012973Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_inference_recompilation_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3097s] [ 10%] 2025-12-04T16:31:44.8013612Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_integer_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0875s] [ 10%] 2025-12-04T16:31:44.8014238Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_not_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1189s] [ 10%] 2025-12-04T16:31:44.8014873Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_not_null_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1197s] [ 10%] 2025-12-04T16:31:44.8015520Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_quantized_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1120s] [ 10%] 2025-12-04T16:31:44.8016161Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_sparse_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0847s] [ 10%] 2025-12-04T16:31:44.8016804Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_isinstance_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1252s] [ 10%] 2025-12-04T16:31:44.8017524Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_islice_chain_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1707s] [ 10%] 2025-12-04T16:31:44.8018163Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itemgetter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [2.4111s] [ 10%] 2025-12-04T16:31:44.8018843Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_chain_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1626s] [ 10%] 2025-12-04T16:31:44.8019571Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_chain_from_iterable_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1603s] [ 10%] 2025-12-04T16:31:44.8020277Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_combinations_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0487s] [ 10%] 2025-12-04T16:31:44.8020970Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_compress_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0367s] [ 11%] 2025-12-04T16:31:44.8021691Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_compress_tensors_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0422s] [ 11%] 2025-12-04T16:31:44.8022487Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_filterfalse_basic_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0681s] [ 11%] 2025-12-04T16:31:44.8023168Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_pairwise_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0456s] [ 11%] 2025-12-04T16:31:44.8023904Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0286s] [ 11%] 2025-12-04T16:31:44.8024638Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_basic_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0385s] [ 11%] 2025-12-04T16:31:44.8025470Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_various_iterators_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0835s] [ 11%] 2025-12-04T16:31:44.8026189Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0112s] [ 11%] 2025-12-04T16:31:44.8026866Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2102s] [ 11%] 2025-12-04T16:31:44.8027643Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_various_iterators_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0866s] [ 11%] 2025-12-04T16:31:44.8028340Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0728s] [ 11%] 2025-12-04T16:31:44.8028990Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_jit_annotate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0998s] [ 11%] 2025-12-04T16:31:44.8029670Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0856s] [ 11%] 2025-12-04T16:31:44.8030337Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0878s] [ 11%] 2025-12-04T16:31:44.8031070Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_misc_iterables_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0859s] [ 11%] 2025-12-04T16:31:44.8031707Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_tensor_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0861s] [ 11%] 2025-12-04T16:31:44.8032343Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1107s] [ 11%] 2025-12-04T16:31:44.8033054Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_add_then_mutate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1523s] [ 11%] 2025-12-04T16:31:44.8033684Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_clear_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1376s] [ 11%] 2025-12-04T16:31:44.8034390Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_compare_polyfill_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3818s] [ 11%] 2025-12-04T16:31:44.8035124Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_compare_polyfill_non_lists_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1070s] [ 12%] 2025-12-04T16:31:44.8035786Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_convert_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1616s] [ 12%] 2025-12-04T16:31:44.8036445Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_expand_lhs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1280s] [ 12%] 2025-12-04T16:31:44.8037173Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_index_with_constant_tensor_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1257s] [ 12%] 2025-12-04T16:31:44.8037892Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_reversed_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1732s] [ 12%] 2025-12-04T16:31:44.8038536Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_setitem_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1120s] [ 12%] 2025-12-04T16:31:44.8039219Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_setitem_slice_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1048s] [ 12%] 2025-12-04T16:31:44.8039904Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_slice_assignment_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0871s] [ 12%] 2025-12-04T16:31:44.8040588Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_slice_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0688s] [ 12%] 2025-12-04T16:31:44.8041235Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_sorted1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0874s] [ 12%] 2025-12-04T16:31:44.8041882Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_sorted2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0896s] [ 12%] 2025-12-04T16:31:44.8042525Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_truth_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1119s] [ 12%] 2025-12-04T16:31:44.8043159Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1235s] [ 12%] 2025-12-04T16:31:44.8043805Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1219s] [ 12%] 2025-12-04T16:31:44.8044437Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1211s] [ 12%] 2025-12-04T16:31:44.8045068Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1196s] [ 12%] 2025-12-04T16:31:44.8045712Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1192s] [ 12%] 2025-12-04T16:31:44.8046371Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_load_global_bool_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0887s] [ 12%] 2025-12-04T16:31:44.8047158Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_lru_cache_warning_issued_during_tracing_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0744s] [ 12%] 2025-12-04T16:31:44.8047791Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_mT_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1458s] [ 12%] 2025-12-04T16:31:44.8048440Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_manual_seed_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0955s] [ 13%] 2025-12-04T16:31:44.8049124Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_call_function_ex_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1452s] [ 13%] 2025-12-04T16:31:44.8049813Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_deque_extendleft_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0873s] [ 13%] 2025-12-04T16:31:44.8050497Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_dict_fromkeys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0885s] [ 13%] 2025-12-04T16:31:44.8051248Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_enumerate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1356s] [ 13%] 2025-12-04T16:31:44.8051916Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_infinite_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1263s] [ 13%] 2025-12-04T16:31:44.8052536Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_iter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0861s] [ 13%] 2025-12-04T16:31:44.8053220Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1250s] [ 13%] 2025-12-04T16:31:44.8053888Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_extend_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0859s] [ 13%] 2025-12-04T16:31:44.8054575Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_slice_assign_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1766s] [ 13%] 2025-12-04T16:31:44.8055237Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_max_const_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0856s] [ 13%] 2025-12-04T16:31:44.8055890Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_max_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0907s] [ 13%] 2025-12-04T16:31:44.8056566Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_partial_unpack_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0869s] [ 13%] 2025-12-04T16:31:44.8057252Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0857s] [ 13%] 2025-12-04T16:31:44.8057887Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_reduce_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7370s] [ 13%] 2025-12-04T16:31:44.8058534Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_return_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0783s] [ 13%] 2025-12-04T16:31:44.8059153Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0898s] [ 13%] 2025-12-04T16:31:44.8059801Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0915s] [ 13%] 2025-12-04T16:31:44.8060443Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_str_join_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0907s] [ 13%] 2025-12-04T16:31:44.8061060Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_sum_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2889s] [ 14%] 2025-12-04T16:31:44.8061705Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_tuple_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1282s] [ 14%] 2025-12-04T16:31:44.8062368Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_unpack_twice_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1285s] [ 14%] 2025-12-04T16:31:44.8063084Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_unpack_vars_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1526s] [ 14%] 2025-12-04T16:31:44.8063763Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_with_graph_break_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2987s] [ 14%] 2025-12-04T16:31:44.8064404Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_zip_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0959s] [ 14%] 2025-12-04T16:31:44.8065139Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_match_mapping_and_match_keys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0856s] [ 14%] 2025-12-04T16:31:44.8065798Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_match_sequence_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1023s] [ 14%] 2025-12-04T16:31:44.8066613Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_math_fma_dynamic_shapes <- test/dynamo/test_functions.py SKIPPED [0.0003s] (math.fma introduced in python 3.13) [ 14%] 2025-12-04T16:31:44.8067263Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_math_radians_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0765s] [ 14%] 2025-12-04T16:31:44.8068030Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_mean_sum_np_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1481s] [ 14%] 2025-12-04T16:31:44.8068722Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1722s] [ 14%] 2025-12-04T16:31:44.8069372Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1415s] [ 14%] 2025-12-04T16:31:44.8070024Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1444s] [ 14%] 2025-12-04T16:31:44.8070719Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcaller_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.2918s] [ 14%] 2025-12-04T16:31:44.8071350Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_min_max_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1468s] [ 14%] 2025-12-04T16:31:44.8072015Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_module_constant_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1576s] [ 14%] 2025-12-04T16:31:44.8072703Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_defaults_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1118s] [ 14%] 2025-12-04T16:31:44.8073353Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1342s] [ 14%] 2025-12-04T16:31:44.8074022Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_fields_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1224s] [ 14%] 2025-12-04T16:31:44.8074712Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1180s] [ 15%] 2025-12-04T16:31:44.8075389Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_replace_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1373s] [ 15%] 2025-12-04T16:31:44.8076089Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_subclass_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1160s] [ 15%] 2025-12-04T16:31:44.8076794Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_user_methods_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1168s] [ 15%] 2025-12-04T16:31:44.8077505Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_builtin_functions_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1478s] [ 15%] 2025-12-04T16:31:44.8078170Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_method_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1306s] [ 15%] 2025-12-04T16:31:44.8078947Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_methods_returning_scalar_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2222s] [ 15%] 2025-12-04T16:31:44.8079621Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_reshape_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2593s] [ 15%] 2025-12-04T16:31:44.8080292Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_transpose_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1498s] [ 15%] 2025-12-04T16:31:44.8080894Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndim_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0947s] [ 15%] 2025-12-04T16:31:44.8081625Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_no_recompile_inner_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1456s] [ 15%] 2025-12-04T16:31:44.8082335Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_no_recompile_inner_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1334s] [ 15%] 2025-12-04T16:31:44.8083024Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_non_inlined_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3597s] [ 15%] 2025-12-04T16:31:44.8083702Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_not_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0892s] [ 15%] 2025-12-04T16:31:44.8084540Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_as_input_int_or_float_float_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4672s] [ 15%] 2025-12-04T16:31:44.8085352Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_as_input_int_or_float_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4641s] [ 15%] 2025-12-04T16:31:44.8086149Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_guards_float_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2756s] [ 15%] 2025-12-04T16:31:44.8086922Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_guards_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2749s] [ 15%] 2025-12-04T16:31:44.8087545Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_finfo_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0907s] [ 15%] 2025-12-04T16:31:44.8088182Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_iinfo_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0901s] [ 15%] 2025-12-04T16:31:44.8088987Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_as_integer_ratio_num_type0_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0582s] [ 16%] 2025-12-04T16:31:44.8089800Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_as_integer_ratio_num_type3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1452s] [ 16%] 2025-12-04T16:31:44.8090577Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_bit_length_num_type1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1894s] [ 16%] 2025-12-04T16:31:44.8091434Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_conjugate_num_type2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1210s] [ 16%] 2025-12-04T16:31:44.8092229Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_conjugate_num_type4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1432s] [ 16%] 2025-12-04T16:31:44.8092968Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_hex_num_type5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1443s] [ 16%] 2025-12-04T16:31:44.8093754Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_is_integer_num_type6_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1438s] [ 16%] 2025-12-04T16:31:44.8094464Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_attributes_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1786s] [ 16%] 2025-12-04T16:31:44.8095217Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_dtype_argument_to_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0931s] [ 16%] 2025-12-04T16:31:44.8095940Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_dtype_call_in_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0884s] [ 16%] 2025-12-04T16:31:44.8096567Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_fft_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2504s] [ 16%] 2025-12-04T16:31:44.8097227Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_linalg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1783s] [ 16%] 2025-12-04T16:31:44.8097890Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_meshgrid_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7261s] [ 16%] 2025-12-04T16:31:44.8098545Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_random_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0466s] [ 16%] 2025-12-04T16:31:44.8099229Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1136s] [ 16%] 2025-12-04T16:31:44.8099839Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_obj_eq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1637s] [ 16%] 2025-12-04T16:31:44.8100458Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_obj_is_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1585s] [ 16%] 2025-12-04T16:31:44.8101138Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ordered_dict_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0489s] [ 16%] 2025-12-04T16:31:44.8101943Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partial_across_graph_break_uninvoked_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1891s] [ 16%] 2025-12-04T16:31:44.8102627Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_UDF_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1923s] [ 16%] 2025-12-04T16:31:44.8103395Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_partials_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1374s] [ 17%] 2025-12-04T16:31:44.8104128Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_partials_mod_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4771s] [ 17%] 2025-12-04T16:31:44.8105070Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_args_and_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1442s] [ 17%] 2025-12-04T16:31:44.8105839Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2129s] [ 17%] 2025-12-04T16:31:44.8106607Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_mix_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2090s] [ 17%] 2025-12-04T16:31:44.8107439Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_mix_no_source_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2088s] [ 17%] 2025-12-04T16:31:44.8108205Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___annotations___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1003s] [ 17%] 2025-12-04T16:31:44.8108974Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___builtins___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0884s] [ 17%] 2025-12-04T16:31:44.8109764Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___call___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1308s] [ 17%] 2025-12-04T16:31:44.8110494Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___class___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1305s] [ 17%] 2025-12-04T16:31:44.8111253Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___closure___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0892s] [ 17%] 2025-12-04T16:31:44.8111977Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___code___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0885s] [ 17%] 2025-12-04T16:31:44.8112740Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___defaults___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0886s] [ 17%] 2025-12-04T16:31:44.8113486Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___delattr___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1303s] [ 17%] 2025-12-04T16:31:44.8114210Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___dict___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1304s] [ 17%] 2025-12-04T16:31:44.8115018Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___dir___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1304s] [ 17%] 2025-12-04T16:31:44.8115740Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___doc___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.8913s] [ 17%] 2025-12-04T16:31:44.8116461Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___eq___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1323s] [ 17%] 2025-12-04T16:31:44.8117234Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___format___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1323s] [ 17%] 2025-12-04T16:31:44.8117958Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___ge___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1326s] [ 18%] 2025-12-04T16:31:44.8118677Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___get___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0897s] [ 18%] 2025-12-04T16:31:44.8119446Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___getattribute___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1327s] [ 18%] 2025-12-04T16:31:44.8120199Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___globals___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0898s] [ 18%] 2025-12-04T16:31:44.8120907Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___gt___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1323s] [ 18%] 2025-12-04T16:31:44.8121649Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___hash___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1333s] [ 18%] 2025-12-04T16:31:44.8122373Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___init___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1332s] [ 18%] 2025-12-04T16:31:44.8123158Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___init_subclass___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1320s] [ 18%] 2025-12-04T16:31:44.8123920Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___kwdefaults___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0902s] [ 18%] 2025-12-04T16:31:44.8124631Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___le___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1338s] [ 18%] 2025-12-04T16:31:44.8125390Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___lt___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1336s] [ 18%] 2025-12-04T16:31:44.8126132Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___module___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1318s] [ 18%] 2025-12-04T16:31:44.8126871Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___name___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0895s] [ 18%] 2025-12-04T16:31:44.8127585Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___ne___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1322s] [ 18%] 2025-12-04T16:31:44.8128312Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___new___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1325s] [ 18%] 2025-12-04T16:31:44.8129064Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___qualname___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0895s] [ 18%] 2025-12-04T16:31:44.8129797Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___reduce___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1323s] [ 18%] 2025-12-04T16:31:44.8130627Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___reduce_ex___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1318s] [ 18%] 2025-12-04T16:31:44.8131427Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___repr___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1315s] [ 18%] 2025-12-04T16:31:44.8132187Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___setattr___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1317s] [ 18%] 2025-12-04T16:31:44.8132962Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___sizeof___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1311s] [ 19%] 2025-12-04T16:31:44.8133679Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___str___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1313s] [ 19%] 2025-12-04T16:31:44.8134473Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___subclasshook___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1317s] [ 19%] 2025-12-04T16:31:44.8135189Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1311s] [ 19%] 2025-12-04T16:31:44.8135915Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_func_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1311s] [ 19%] 2025-12-04T16:31:44.8136651Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_keywords_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1320s] [ 19%] 2025-12-04T16:31:44.8137369Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_set_attr_dynamic_shapes <- test/dynamo/test_functions.py XFAIL [0.0124s] [ 19%] 2025-12-04T16:31:44.8138030Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0915s] [ 19%] 2025-12-04T16:31:44.8138736Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_recompilation_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.1039s] [ 19%] 2025-12-04T16:31:44.8139433Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_torch_op_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0901s] [ 19%] 2025-12-04T16:31:44.8140127Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_torch_op_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0891s] [ 19%] 2025-12-04T16:31:44.8140837Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0845s] [ 19%] 2025-12-04T16:31:44.8141510Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0903s] [ 19%] 2025-12-04T16:31:44.8142237Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_method_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3064s] [ 19%] 2025-12-04T16:31:44.8142944Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_module_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3005s] [ 19%] 2025-12-04T16:31:44.8143551Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pop_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1681s] [ 19%] 2025-12-04T16:31:44.8144166Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pos_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7285s] [ 19%] 2025-12-04T16:31:44.8144943Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pos_only_args_with_same_name_in_star_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5360s] [ 19%] 2025-12-04T16:31:44.8145611Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pow_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1312s] [ 19%] 2025-12-04T16:31:44.8146292Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_promote_types_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0911s] [ 19%] 2025-12-04T16:31:44.8146935Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_rand_inlined_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1245s] [ 20%] 2025-12-04T16:31:44.8147632Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_rand_tensor_partial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5328s] [ 20%] 2025-12-04T16:31:44.8148285Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0892s] [ 20%] 2025-12-04T16:31:44.8148921Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1722s] [ 20%] 2025-12-04T16:31:44.8149592Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1204s] [ 20%] 2025-12-04T16:31:44.8150262Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1190s] [ 20%] 2025-12-04T16:31:44.8150985Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_graph_break_2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1111s] [ 20%] 2025-12-04T16:31:44.8151701Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_graph_break_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1116s] [ 20%] 2025-12-04T16:31:44.8152359Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_length_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0085s] [ 20%] 2025-12-04T16:31:44.8153018Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_with_index_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1074s] [ 20%] 2025-12-04T16:31:44.8153721Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_with_slice_index_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1070s] [ 20%] 2025-12-04T16:31:44.8154337Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2070s] [ 20%] 2025-12-04T16:31:44.8155015Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_initial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2050s] [ 20%] 2025-12-04T16:31:44.8155727Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_none_initial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0657s] [ 20%] 2025-12-04T16:31:44.8156436Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_single_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0688s] [ 20%] 2025-12-04T16:31:44.8157188Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_single_with_initial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0855s] [ 20%] 2025-12-04T16:31:44.8157837Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_dict2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1199s] [ 20%] 2025-12-04T16:31:44.8158484Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1193s] [ 20%] 2025-12-04T16:31:44.8172166Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_multiple_numpy_ndarray_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1712s] [ 20%] 2025-12-04T16:31:44.8173145Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_numpy_ndarray_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1574s] [ 20%] 2025-12-04T16:31:44.8173809Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_tuple1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1389s] [ 21%] 2025-12-04T16:31:44.8174638Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_tuple2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0946s] [ 21%] 2025-12-04T16:31:44.8175352Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_returning_recursive_func_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0491s] [ 21%] 2025-12-04T16:31:44.8175963Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_round_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0725s] [ 21%] 2025-12-04T16:31:44.8176643Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0843s] [ 21%] 2025-12-04T16:31:44.8177306Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_in_frozenset_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0947s] [ 21%] 2025-12-04T16:31:44.8177964Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_keys_view_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1349s] [ 21%] 2025-12-04T16:31:44.8178643Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_update_bytecode_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0952s] [ 21%] 2025-12-04T16:31:44.8179400Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_update_list_with_duplicated_items_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0955s] [ 21%] 2025-12-04T16:31:44.8180032Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_shape1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0862s] [ 21%] 2025-12-04T16:31:44.8180650Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_shape2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0850s] [ 21%] 2025-12-04T16:31:44.8181317Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_size_tuple_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0386s] [ 21%] 2025-12-04T16:31:44.8181942Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1242s] [ 21%] 2025-12-04T16:31:44.8182571Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1174s] [ 21%] 2025-12-04T16:31:44.8183188Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1608s] [ 21%] 2025-12-04T16:31:44.8183801Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0997s] [ 21%] 2025-12-04T16:31:44.8184473Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1509s] [ 21%] 2025-12-04T16:31:44.8185091Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice6_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1842s] [ 21%] 2025-12-04T16:31:44.8185729Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice_eq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1308s] [ 21%] 2025-12-04T16:31:44.8186375Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sliced_range_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0119s] [ 22%] 2025-12-04T16:31:44.8187107Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sorted_const_key_non_const_items_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1555s] [ 22%] 2025-12-04T16:31:44.8187850Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sourceless_build_method_type_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1196s] [ 22%] 2025-12-04T16:31:44.8188495Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_startswith_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1323s] [ 22%] 2025-12-04T16:31:44.8189138Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2197s] [ 22%] 2025-12-04T16:31:44.8189816Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0373s] [ 22%] 2025-12-04T16:31:44.8190524Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_with_start_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0371s] [ 22%] 2025-12-04T16:31:44.8191260Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_with_start_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0369s] [ 22%] 2025-12-04T16:31:44.8191957Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_with_start_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2035s] [ 22%] 2025-12-04T16:31:44.8192647Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_with_start_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1980s] [ 22%] 2025-12-04T16:31:44.8193299Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_symbool_to_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1054s] [ 22%] 2025-12-04T16:31:44.8193942Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_dim_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0908s] [ 22%] 2025-12-04T16:31:44.8194622Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_element_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1047s] [ 22%] 2025-12-04T16:31:44.8195287Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_is_complex_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0905s] [ 22%] 2025-12-04T16:31:44.8195933Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_len_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1477s] [ 22%] 2025-12-04T16:31:44.8196615Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_new_with_shape_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0774s] [ 22%] 2025-12-04T16:31:44.8197304Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_new_with_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0765s] [ 22%] 2025-12-04T16:31:44.8197942Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0927s] [ 22%] 2025-12-04T16:31:44.8198661Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_size_indexed_by_symint_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1649s] [ 22%] 2025-12-04T16:31:44.8199321Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1748s] [ 22%] 2025-12-04T16:31:44.8199996Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1382s] [ 23%] 2025-12-04T16:31:44.8200654Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1360s] [ 23%] 2025-12-04T16:31:44.8201298Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1611s] [ 23%] 2025-12-04T16:31:44.8201948Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1496s] [ 23%] 2025-12-04T16:31:44.8202541Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_to_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0521s] [ 23%] 2025-12-04T16:31:44.8203292Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_distributions_functions_dynamic_shapes <- test/dynamo/test_functions.py PASSED [51.3117s] [ 23%] 2025-12-04T16:31:44.8203964Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_from_numpy_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1164s] [ 23%] 2025-12-04T16:31:44.8205494Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_get_device_module_dynamic_shapes <- test/dynamo/test_functions.py [W1204 15:41:08.472249370 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8205506Z 2025-12-04T16:31:44.8205632Z PASSED [0.1930s] [ 23%] 2025-12-04T16:31:44.8206323Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_size_as_dict_key_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2127s] [ 23%] 2025-12-04T16:31:44.8207009Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_size_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0877s] [ 23%] 2025-12-04T16:31:44.8207705Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_source_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0351s] [ 23%] 2025-12-04T16:31:44.8208390Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_transpose_for_scores_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2994s] [ 23%] 2025-12-04T16:31:44.8209019Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_truth_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0118s] [ 23%] 2025-12-04T16:31:44.8209638Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1133s] [ 23%] 2025-12-04T16:31:44.8210267Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1128s] [ 23%] 2025-12-04T16:31:44.8210926Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_contains_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1127s] [ 23%] 2025-12-04T16:31:44.8211642Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_iadd_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1292s] [ 23%] 2025-12-04T16:31:44.8212295Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_map_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1575s] [ 23%] 2025-12-04T16:31:44.8212941Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0866s] [ 23%] 2025-12-04T16:31:44.8213602Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_two_point_iter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1272s] [ 23%] 2025-12-04T16:31:44.8214244Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unary_fold_op_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1804s] [ 24%] 2025-12-04T16:31:44.8214953Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unary_fold_op_seq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0374s] [ 24%] 2025-12-04T16:31:44.8215596Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1572s] [ 24%] 2025-12-04T16:31:44.8216221Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1499s] [ 24%] 2025-12-04T16:31:44.8216863Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1504s] [ 24%] 2025-12-04T16:31:44.8217493Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1529s] [ 24%] 2025-12-04T16:31:44.8218136Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1526s] [ 24%] 2025-12-04T16:31:44.8218770Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1505s] [ 24%] 2025-12-04T16:31:44.8219442Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_mutable_map_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0915s] [ 24%] 2025-12-04T16:31:44.8220201Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unsqueeze_inplace_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4127s] [ 24%] 2025-12-04T16:31:44.8220839Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_viamethod_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1158s] [ 24%] 2025-12-04T16:31:44.8221484Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_viatorch_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1149s] [ 24%] 2025-12-04T16:31:44.8222121Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_zip_longest_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1255s] [ 24%] 2025-12-04T16:31:44.8222813Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_zip_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0876s] [ 24%] 2025-12-04T16:31:44.8223516Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_312_binary_slice_with_graph_break1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1949s] [ 24%] 2025-12-04T16:31:44.8224207Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_312_binary_slice_with_graph_break2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2309s] [ 24%] 2025-12-04T16:31:44.8224900Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_RAISE_VARARGS_0_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0004s] (Python 3.11+) [ 24%] 2025-12-04T16:31:44.8225521Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_T_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1955s] [ 24%] 2025-12-04T16:31:44.8226112Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_add_sizes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0914s] [ 24%] 2025-12-04T16:31:44.8226687Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_add_to_set_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1194s] [ 24%] 2025-12-04T16:31:44.8227318Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_anomaly_aot_autograd_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1020s] [ 25%] 2025-12-04T16:31:44.8227936Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_any_all_symnode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1912s] [ 25%] 2025-12-04T16:31:44.8228698Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_aot_autograd_propagate_unbacked_symints_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1812s] [ 25%] 2025-12-04T16:31:44.8229392Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_arange_length_with_float32_dtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2075s] [ 25%] 2025-12-04T16:31:44.8230602Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_argwhere_with_dynamic_shapes_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:41:15.258622724 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8230610Z 2025-12-04T16:31:44.8231150Z [W1204 15:41:15.262301634 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8231157Z 2025-12-04T16:31:44.8231264Z PASSED [2.6302s] [ 25%] 2025-12-04T16:31:44.8231833Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assert_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1792s] [ 25%] 2025-12-04T16:31:44.8232464Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assert_size_stride_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0039s] [ 25%] 2025-12-04T16:31:44.8233188Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assigning_function_to_class_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1177s] [ 25%] 2025-12-04T16:31:44.8233927Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assigning_function_to_object_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0981s] [ 25%] 2025-12-04T16:31:44.8234588Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assume_32_bit_indexing_dynamic_shapes <- test/dynamo/test_misc.py PASSED [6.2545s] [ 25%] 2025-12-04T16:31:44.8235242Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backend_match_guard_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8387s] [ 25%] 2025-12-04T16:31:44.8235951Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backend_match_guard_multi_threads_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2716s] [ 25%] 2025-12-04T16:31:44.8236709Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backward_deterministic_mode_mismatch_warning_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1766s] [ 25%] 2025-12-04T16:31:44.8237323Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_boolarg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3649s] [ 25%] 2025-12-04T16:31:44.8237944Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_bound_shape_checks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2617s] [ 25%] 2025-12-04T16:31:44.8238582Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_build_tuple_unpack_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3353s] [ 25%] 2025-12-04T16:31:44.8239268Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builder_for_class_with_metaclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0921s] [ 25%] 2025-12-04T16:31:44.8239858Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_abs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3259s] [ 25%] 2025-12-04T16:31:44.8240512Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symbool_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0564s] [ 25%] 2025-12-04T16:31:44.8241168Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symfloat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0545s] [ 25%] 2025-12-04T16:31:44.8241817Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0541s] [ 26%] 2025-12-04T16:31:44.8242447Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_complex_args_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0867s] [ 26%] 2025-12-04T16:31:44.8243054Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_complex_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0673s] [ 26%] 2025-12-04T16:31:44.8243695Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0733s] [ 26%] 2025-12-04T16:31:44.8244394Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_str_on_user_defined_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0388s] [ 26%] 2025-12-04T16:31:44.8245167Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_subclasses_as_method_on_class_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0400s] [ 26%] 2025-12-04T16:31:44.8245870Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_subclasses_as_method_on_var_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0746s] [ 26%] 2025-12-04T16:31:44.8246602Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_call_parent_non_class_methods_from_child_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3175s] [ 26%] 2025-12-04T16:31:44.8247196Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_callpacked_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3284s] [ 26%] 2025-12-04T16:31:44.8247849Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cannot_trace_mark_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0141s] [ 26%] 2025-12-04T16:31:44.8248595Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cannot_trace_mark_dynamic_safe_unreached_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0984s] [ 26%] 2025-12-04T16:31:44.8249151Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cast_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0939s] [ 26%] 2025-12-04T16:31:44.8249813Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cat_unbacked_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1287s] [ 26%] 2025-12-04T16:31:44.8250428Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_catch_watchings1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0732s] [ 26%] 2025-12-04T16:31:44.8251096Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_catch_watchings2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0734s] [ 26%] 2025-12-04T16:31:44.8251875Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_captured_by_existing_func_but_not_root_frame_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7290s] [ 26%] 2025-12-04T16:31:44.8252507Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_output1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0534s] [ 26%] 2025-12-04T16:31:44.8253116Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_output2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1013s] [ 26%] 2025-12-04T16:31:44.8254003Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_assert_error_at_runtime_when_predicate_false_and_message_has_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0535s] [ 26%] 2025-12-04T16:31:44.8254890Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_assert_error_at_runtime_when_predicate_true_and_message_has_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0318s] [ 27%] 2025-12-04T16:31:44.8255666Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0875s] [ 27%] 2025-12-04T16:31:44.8256475Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_has_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0845s] [ 27%] 2025-12-04T16:31:44.8257307Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0845s] [ 27%] 2025-12-04T16:31:44.8258135Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_constant_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0842s] [ 27%] 2025-12-04T16:31:44.8259010Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_constant_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0846s] [ 27%] 2025-12-04T16:31:44.8259823Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0426s] [ 27%] 2025-12-04T16:31:44.8260726Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_has_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0410s] [ 27%] 2025-12-04T16:31:44.8261586Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0415s] [ 27%] 2025-12-04T16:31:44.8262442Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_constant_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0403s] [ 27%] 2025-12-04T16:31:44.8263361Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_constant_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0409s] [ 27%] 2025-12-04T16:31:44.8264011Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_simplification_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1518s] [ 27%] 2025-12-04T16:31:44.8264610Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_binop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1101s] [ 27%] 2025-12-04T16:31:44.8265285Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_duner_flags_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1912s] [ 27%] 2025-12-04T16:31:44.8265900Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_duner_mro_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1004s] [ 27%] 2025-12-04T16:31:44.8266581Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_has_instancecheck_method_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0747s] [ 27%] 2025-12-04T16:31:44.8267199Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_clone_sparse_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1824s] [ 27%] 2025-12-04T16:31:44.8267890Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1082s] [ 27%] 2025-12-04T16:31:44.8268578Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_with_cond_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5170s] [ 27%] 2025-12-04T16:31:44.8269311Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_with_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3278s] [ 27%] 2025-12-04T16:31:44.8269940Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_recompiles_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2461s] [ 28%] 2025-12-04T16:31:44.8270649Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_with_mutation_and_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1022s] [ 28%] 2025-12-04T16:31:44.8271348Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_write_across_functions_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0550s] [ 28%] 2025-12-04T16:31:44.8271968Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3232s] [ 28%] 2025-12-04T16:31:44.8272601Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_neq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3242s] [ 28%] 2025-12-04T16:31:44.8273245Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_tuple_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2014s] [ 28%] 2025-12-04T16:31:44.8273908Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_tuple_neq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2049s] [ 28%] 2025-12-04T16:31:44.8274582Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_with_constant_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2181s] [ 28%] 2025-12-04T16:31:44.8275770Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_tensor_with_none_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:41:35.531655878 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8275791Z 2025-12-04T16:31:44.8276314Z [W1204 15:41:35.541616233 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8276322Z 2025-12-04T16:31:44.8276428Z PASSED [0.0247s] [ 28%] 2025-12-04T16:31:44.8277126Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compilation_metrics_size_limit_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8331s] [ 28%] 2025-12-04T16:31:44.8277788Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compiled_class_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1423s] [ 28%] 2025-12-04T16:31:44.8278356Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1202s] [ 28%] 2025-12-04T16:31:44.8278946Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_export_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1751s] [ 28%] 2025-12-04T16:31:44.8279609Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_export_single_arg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1127s] [ 28%] 2025-12-04T16:31:44.8280239Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_nested_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1761s] [ 28%] 2025-12-04T16:31:44.8281422Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_runtime_assert_generation_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:41:38.833637260 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8281428Z 2025-12-04T16:31:44.8281581Z PASSED [0.7388s] [ 28%] 2025-12-04T16:31:44.8282198Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_side_effects_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1197s] [ 28%] 2025-12-04T16:31:44.8282842Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_with_quantization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5865s] [ 28%] 2025-12-04T16:31:44.8283547Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_conditional_list_comp_in_context_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1995s] [ 28%] 2025-12-04T16:31:44.8284185Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_config_getattr_default_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1996s] [ 28%] 2025-12-04T16:31:44.8284776Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_config_obj_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2558s] [ 29%] 2025-12-04T16:31:44.8285458Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_const_dict_variable_python_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0038s] [ 29%] 2025-12-04T16:31:44.8286091Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_constant_getattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0114s] [ 29%] 2025-12-04T16:31:44.8286767Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_constant_hasattr_returns_bool_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0396s] [ 29%] 2025-12-04T16:31:44.8287711Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_fancy_ctor1_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] (https://github.com/pytorch/pytorch/issues/99726) [ 29%] 2025-12-04T16:31:44.8288403Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_fancy_ctor2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3889s] [ 29%] 2025-12-04T16:31:44.8289074Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_simple_ctor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3358s] [ 29%] 2025-12-04T16:31:44.8289706Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_custom_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0952s] [ 29%] 2025-12-04T16:31:44.8290326Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_custom_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1882s] [ 29%] 2025-12-04T16:31:44.8290996Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_access_in_inference_mode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1528s] [ 29%] 2025-12-04T16:31:44.8291739Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_ptr_graph_break_aten_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0687s] [ 29%] 2025-12-04T16:31:44.8292401Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_ptr_graph_break_builtin_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0857s] [ 29%] 2025-12-04T16:31:44.8293002Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0655s] [ 29%] 2025-12-04T16:31:44.8293617Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_fields_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2422s] [ 29%] 2025-12-04T16:31:44.8294280Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_local_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0893s] [ 29%] 2025-12-04T16:31:44.8294994Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_default_args_device_dtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0505s] [ 29%] 2025-12-04T16:31:44.8296128Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_default_dtype_change_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:41:42.118444648 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8296148Z 2025-12-04T16:31:44.8296671Z [W1204 15:41:42.118941663 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8296706Z 2025-12-04T16:31:44.8297226Z [W1204 15:41:42.119140473 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8297231Z 2025-12-04T16:31:44.8297348Z PASSED [1.2850s] [ 29%] 2025-12-04T16:31:44.8297952Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_defaultdict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0951s] [ 29%] 2025-12-04T16:31:44.8298583Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deque_append_left_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1274s] [ 29%] 2025-12-04T16:31:44.8299169Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deque_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1423s] [ 29%] 2025-12-04T16:31:44.8299799Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_derpy_nn_module_usage_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1321s] [ 30%] 2025-12-04T16:31:44.8300407Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1536s] [ 30%] 2025-12-04T16:31:44.8301050Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_descriptor_side_effect_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0757s] [ 30%] 2025-12-04T16:31:44.8301767Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deterministic_algorithms_mutated_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0751s] [ 30%] 2025-12-04T16:31:44.8302345Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dictcomp_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0655s] [ 30%] 2025-12-04T16:31:44.8302920Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dim_order_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5974s] [ 30%] 2025-12-04T16:31:44.8303524Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_disable_flag_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0043s] [ 30%] 2025-12-04T16:31:44.8304194Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dtypes_no_graphbreaks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4084s] [ 30%] 2025-12-04T16:31:44.8304967Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_methods_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2229s] [ 30%] 2025-12-04T16:31:44.8305649Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0770s] [ 30%] 2025-12-04T16:31:44.8306340Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0834s] [ 30%] 2025-12-04T16:31:44.8307014Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0956s] [ 30%] 2025-12-04T16:31:44.8307684Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining4_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0960s] [ 30%] 2025-12-04T16:31:44.8308370Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1817s] [ 30%] 2025-12-04T16:31:44.8308974Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_weakref_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0752s] [ 30%] 2025-12-04T16:31:44.8309729Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_duplicate_graph_break_log_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0060s] [ 30%] 2025-12-04T16:31:44.8310330Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_one_hot_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1923s] [ 30%] 2025-12-04T16:31:44.8310979Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_shapes_as_strided_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1493s] [ 30%] 2025-12-04T16:31:44.8311691Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_dynamic_override_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0786s] [ 30%] 2025-12-04T16:31:44.8312481Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_dynamic_override_regex_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0816s] [ 31%] 2025-12-04T16:31:44.8313429Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_force_parameter_static_shapes_and_property_static_shapes_override_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3043s] [ 31%] 2025-12-04T16:31:44.8314100Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1662s] [ 31%] 2025-12-04T16:31:44.8314738Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_int_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0510s] [ 31%] 2025-12-04T16:31:44.8315524Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_precedence_over_int_specialization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1231s] [ 31%] 2025-12-04T16:31:44.8316171Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0734s] [ 31%] 2025-12-04T16:31:44.8316832Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_cache_invalidate_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2713s] [ 31%] 2025-12-04T16:31:44.8317487Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_cache_move_to_front_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1508s] [ 31%] 2025-12-04T16:31:44.8318230Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_compiling_fake_tensor_to_vararg_int_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1424s] [ 31%] 2025-12-04T16:31:44.8319437Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_disabled_in_custom_op_kernels_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:41:49.985748629 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8319483Z 2025-12-04T16:31:44.8319599Z PASSED [0.1445s] [ 31%] 2025-12-04T16:31:44.8320244Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_inside_custom_op_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.3703s] [ 31%] 2025-12-04T16:31:44.8320918Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_min_operator_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0663s] [ 31%] 2025-12-04T16:31:44.8321581Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_reset_clears_cache_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0939s] [ 31%] 2025-12-04T16:31:44.8322159Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_empty_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1832s] [ 31%] 2025-12-04T16:31:44.8322771Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_as_dict_key_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2062s] [ 31%] 2025-12-04T16:31:44.8323470Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_as_dict_key_with_overloaded_str_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1975s] [ 31%] 2025-12-04T16:31:44.8324055Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_guards_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0723s] [ 31%] 2025-12-04T16:31:44.8324717Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_method_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7243s] [ 31%] 2025-12-04T16:31:44.8325345Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_no_graphbreaks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0991s] [ 31%] 2025-12-04T16:31:44.8325958Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_subclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0751s] [ 31%] 2025-12-04T16:31:44.8326599Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_error_on_nested_fx_trace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0996s] [ 32%] 2025-12-04T16:31:44.8327256Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_error_on_recompile_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1282s] [ 32%] 2025-12-04T16:31:44.8327994Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_escaping_closure_var_with_backward_hook_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0829s] [ 32%] 2025-12-04T16:31:44.8328712Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_escaping_closure_var_with_nonlocal_var_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0805s] [ 32%] 2025-12-04T16:31:44.8329488Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_existing_func_that_creates_capturing_nested_func_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0552s] [ 32%] 2025-12-04T16:31:44.8330173Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fail_on_recompile_error_message_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0057s] [ 32%] 2025-12-04T16:31:44.8330836Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_flat_name_to_original_fqn_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1765s] [ 32%] 2025-12-04T16:31:44.8331618Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_float_speculation_log_divergence_dynamic_shapes <- test/dynamo/test_misc.py PASSED [23.6652s] [ 32%] 2025-12-04T16:31:44.8332241Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0358s] [ 32%] 2025-12-04T16:31:44.8332867Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0371s] [ 32%] 2025-12-04T16:31:44.8333475Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0432s] [ 32%] 2025-12-04T16:31:44.8334044Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fold_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0920s] [ 32%] 2025-12-04T16:31:44.8334761Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_free_var_and_local_name_collision_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0571s] [ 32%] 2025-12-04T16:31:44.8335432Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_attr_access_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1552s] [ 32%] 2025-12-04T16:31:44.8336136Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_default_factory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9938s] [ 32%] 2025-12-04T16:31:44.8336819Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_default_value_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0808s] [ 32%] 2025-12-04T16:31:44.8337491Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_hashable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0831s] [ 32%] 2025-12-04T16:31:44.8338146Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_kw_only_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0506s] [ 32%] 2025-12-04T16:31:44.8338744Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0769s] [ 32%] 2025-12-04T16:31:44.8339426Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozenset_of_non_literals_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0153s] [ 32%] 2025-12-04T16:31:44.8340162Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozenset_torch_func_contains_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0946s] [ 33%] 2025-12-04T16:31:44.8340801Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fullgraph_capture_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1086s] [ 33%] 2025-12-04T16:31:44.8341408Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_funcname_cache_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0041s] [ 33%] 2025-12-04T16:31:44.8342088Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_function_annotation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1329s] [ 33%] 2025-12-04T16:31:44.8342787Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_function_generic_alias_annotation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1305s] [ 33%] 2025-12-04T16:31:44.8343559Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_generate_tensor_from_list_of_numpy_primitive_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7674s] [ 33%] 2025-12-04T16:31:44.8344761Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_generate_trivial_abstract_impl_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:42:23.461216725 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8344768Z 2025-12-04T16:31:44.8345293Z [W1204 15:42:23.491046689 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8345303Z 2025-12-04T16:31:44.8345424Z PASSED [0.1251s] [ 33%] 2025-12-04T16:31:44.8346043Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_attr_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0648s] [ 33%] 2025-12-04T16:31:44.8346660Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_cache_entry_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.8121s] [ 33%] 2025-12-04T16:31:44.8347328Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_custom_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0865s] [ 33%] 2025-12-04T16:31:44.8347987Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_instruction_source_311_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] [ 33%] 2025-12-04T16:31:44.8348597Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getattr_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0727s] [ 33%] 2025-12-04T16:31:44.8349338Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getattrvariable_as_python_constant_dynamic_shapes <- test/dynamo/test_misc.py PASSED [6.6502s] [ 33%] 2025-12-04T16:31:44.8349971Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getset_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1021s] [ 33%] 2025-12-04T16:31:44.8350670Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_global_state_guard_serialization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0041s] [ 33%] 2025-12-04T16:31:44.8351239Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2516s] [ 33%] 2025-12-04T16:31:44.8351829Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_non_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1456s] [ 33%] 2025-12-04T16:31:44.8352402Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1284s] [ 33%] 2025-12-04T16:31:44.8353036Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_state_mutated_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0716s] [ 33%] 2025-12-04T16:31:44.8353723Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_compilation_metrics_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3385s] [ 33%] 2025-12-04T16:31:44.8354534Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_compilation_metrics_on_failure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0671s] [ 34%] 2025-12-04T16:31:44.8355380Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_correctly_when_passing_numpy_ndarray_to_torch_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4650s] [ 34%] 2025-12-04T16:31:44.8355993Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1034s] [ 34%] 2025-12-04T16:31:44.8356644Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1162s] [ 34%] 2025-12-04T16:31:44.8357323Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_shape_control_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2053s] [ 34%] 2025-12-04T16:31:44.8357999Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_tensor_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3708s] [ 34%] 2025-12-04T16:31:44.8358623Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_id_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0844s] [ 34%] 2025-12-04T16:31:44.8359290Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_is_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0274s] [ 34%] 2025-12-04T16:31:44.8359965Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_name_and_value_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1777s] [ 34%] 2025-12-04T16:31:44.8360600Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_globals_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.6592s] [ 34%] 2025-12-04T16:31:44.8361294Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_inbuilt_nn_modules_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.4087s] [ 34%] 2025-12-04T16:31:44.8361934Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_nn_modules_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.4927s] [ 34%] 2025-12-04T16:31:44.8362580Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_tensors_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.2802s] [ 34%] 2025-12-04T16:31:44.8363256Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_function_builder_with_cse_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0068s] [ 34%] 2025-12-04T16:31:44.8363920Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_size_oblivious_backed_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1135s] [ 34%] 2025-12-04T16:31:44.8364605Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_string_escaped_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0800s] [ 34%] 2025-12-04T16:31:44.8365283Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_sym_node_fstring_when_used_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2158s] [ 34%] 2025-12-04T16:31:44.8365947Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_cse_pass_multiple_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0069s] [ 34%] 2025-12-04T16:31:44.8366582Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_cse_pass_single_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0071s] [ 34%] 2025-12-04T16:31:44.8367253Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_strip_function_call_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0035s] [ 35%] 2025-12-04T16:31:44.8367896Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hasattr_nn_module_guard_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1141s] [ 35%] 2025-12-04T16:31:44.8368514Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hash_getitem_slice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0035s] [ 35%] 2025-12-04T16:31:44.8369125Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hash_hop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9312s] [ 35%] 2025-12-04T16:31:44.8369779Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1415s] [ 35%] 2025-12-04T16:31:44.8370408Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_module_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1739s] [ 35%] 2025-12-04T16:31:44.8371095Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_object_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1707s] [ 35%] 2025-12-04T16:31:44.8371733Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_of_nn_module_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1321s] [ 35%] 2025-12-04T16:31:44.8372319Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2210s] [ 35%] 2025-12-04T16:31:44.8372917Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1837s] [ 35%] 2025-12-04T16:31:44.8373530Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0766s] [ 35%] 2025-12-04T16:31:44.8374123Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1057s] [ 35%] 2025-12-04T16:31:44.8374785Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0151s] [ 35%] 2025-12-04T16:31:44.8375460Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2112s] [ 35%] 2025-12-04T16:31:44.8376114Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2785s] [ 35%] 2025-12-04T16:31:44.8376785Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_infer_unbacked_size_gt_zero_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0732s] [ 35%] 2025-12-04T16:31:44.8377388Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inference_mode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1077s] [ 35%] 2025-12-04T16:31:44.8378032Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inference_mode_param_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0924s] [ 35%] 2025-12-04T16:31:44.8378731Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_closure_not_loaded_by_parent_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0752s] [ 35%] 2025-12-04T16:31:44.8379577Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_closure_returned_by_another_function_and_captures_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7330s] [ 35%] 2025-12-04T16:31:44.8380727Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_function_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:42:55.171752150 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8380733Z 2025-12-04T16:31:44.8381256Z [W1204 15:42:55.171992428 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8381262Z 2025-12-04T16:31:44.8381378Z PASSED [0.7116s] [ 36%] 2025-12-04T16:31:44.8382073Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_function_passed_as_arg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.0902s] [ 36%] 2025-12-04T16:31:44.8382722Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0499s] [ 36%] 2025-12-04T16:31:44.8383423Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_func_jump_on_tensor_condition_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1972s] [ 36%] 2025-12-04T16:31:44.8384115Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_list_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0471s] [ 36%] 2025-12-04T16:31:44.8384767Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_local_dict_clear_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0925s] [ 36%] 2025-12-04T16:31:44.8385432Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_module_attr_dict_clear_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0941s] [ 36%] 2025-12-04T16:31:44.8386170Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_user_defined_dict_attr_clear_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1083s] [ 36%] 2025-12-04T16:31:44.8386800Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_desugaring_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1049s] [ 36%] 2025-12-04T16:31:44.8387374Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1069s] [ 36%] 2025-12-04T16:31:44.8388019Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_param_update_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0807s] [ 36%] 2025-12-04T16:31:44.8388681Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_view_on_graph_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.5630s] [ 36%] 2025-12-04T16:31:44.8389317Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_input_cell_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0823s] [ 36%] 2025-12-04T16:31:44.8389964Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_bind_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4021s] [ 36%] 2025-12-04T16:31:44.8390705Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_bind_non_user_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3805s] [ 36%] 2025-12-04T16:31:44.8391386Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_parameters_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1600s] [ 36%] 2025-12-04T16:31:44.8392011Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_int_comparisons_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0916s] [ 36%] 2025-12-04T16:31:44.8392592Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0943s] [ 36%] 2025-12-04T16:31:44.8393154Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_neg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1399s] [ 36%] 2025-12-04T16:31:44.8393812Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6415s] [ 36%] 2025-12-04T16:31:44.8394446Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_comparisons_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0968s] [ 37%] 2025-12-04T16:31:44.8395093Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_inplace_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1078s] [ 37%] 2025-12-04T16:31:44.8395791Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_intermediary_tensor_grad_access_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0951s] [ 37%] 2025-12-04T16:31:44.8396417Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_invalid_args_builtin_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0941s] [ 37%] 2025-12-04T16:31:44.8397024Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_compiling_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1691s] [ 37%] 2025-12-04T16:31:44.8397648Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_floating_point2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1464s] [ 37%] 2025-12-04T16:31:44.8398272Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_floating_point_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1470s] [ 37%] 2025-12-04T16:31:44.8398900Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1368s] [ 37%] 2025-12-04T16:31:44.8399473Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1468s] [ 37%] 2025-12-04T16:31:44.8400089Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_like2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0933s] [ 37%] 2025-12-04T16:31:44.8400682Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_like_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1206s] [ 37%] 2025-12-04T16:31:44.8401315Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_changes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1411s] [ 37%] 2025-12-04T16:31:44.8401948Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_changes_new_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1450s] [ 37%] 2025-12-04T16:31:44.8402505Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0706s] [ 37%] 2025-12-04T16:31:44.8403085Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iter_set_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1360s] [ 37%] 2025-12-04T16:31:44.8403660Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iter_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8448s] [ 37%] 2025-12-04T16:31:44.8404274Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iterator_limit_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.9736s] [ 37%] 2025-12-04T16:31:44.8405224Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_symint_default_sum_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0828s] [ 37%] 2025-12-04T16:31:44.8405958Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_builtins_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6667s] [ 37%] 2025-12-04T16:31:44.8406713Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_default_sum_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2069s] [ 37%] 2025-12-04T16:31:44.8407424Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_kwargs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6432s] [ 38%] 2025-12-04T16:31:44.8408182Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_user_defined_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5909s] [ 38%] 2025-12-04T16:31:44.8409032Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_groupby_pure_python_default_identify_func_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1666s] [ 38%] 2025-12-04T16:31:44.8409765Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_groupby_pure_python_key_func_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1643s] [ 38%] 2025-12-04T16:31:44.8410426Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_count_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2950s] [ 38%] 2025-12-04T16:31:44.8411144Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_cycle_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1197s] [ 38%] 2025-12-04T16:31:44.8411825Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_repeat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0778s] [ 38%] 2025-12-04T16:31:44.8412548Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_repeat_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0931s] [ 38%] 2025-12-04T16:31:44.8413220Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_default_end_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1057s] [ 38%] 2025-12-04T16:31:44.8413952Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_default_step_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1041s] [ 38%] 2025-12-04T16:31:44.8414606Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1041s] [ 38%] 2025-12-04T16:31:44.8415220Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_repeat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0750s] [ 38%] 2025-12-04T16:31:44.8415827Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_tee_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0842s] [ 38%] 2025-12-04T16:31:44.8416546Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_jacfwd_one_hot_dynamic_compile_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0721s] [ 38%] 2025-12-04T16:31:44.8417191Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_large_reduction_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0140s] [ 38%] 2025-12-04T16:31:44.8417815Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_linear_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.7078s] [ 38%] 2025-12-04T16:31:44.8418468Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_append_return_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0504s] [ 38%] 2025-12-04T16:31:44.8419046Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1402s] [ 38%] 2025-12-04T16:31:44.8419638Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_hasattr1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0727s] [ 38%] 2025-12-04T16:31:44.8420255Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_hasattr2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0451s] [ 38%] 2025-12-04T16:31:44.8420875Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iadd_side_effect_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0561s] [ 39%] 2025-12-04T16:31:44.8421518Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iadd_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1294s] [ 39%] 2025-12-04T16:31:44.8422165Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iterator_contains_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0692s] [ 39%] 2025-12-04T16:31:44.8422733Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_mul_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0567s] [ 39%] 2025-12-04T16:31:44.8423345Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_slice_mul_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0536s] [ 39%] 2025-12-04T16:31:44.8423953Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_listcomp_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0669s] [ 39%] 2025-12-04T16:31:44.8424636Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_load_fast_and_clear_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0971s] [ 39%] 2025-12-04T16:31:44.8425256Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mandelbrot_numpy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.3137s] [ 39%] 2025-12-04T16:31:44.8425877Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_map_side_effects_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1278s] [ 39%] 2025-12-04T16:31:44.8426511Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_map_with_quantization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7799s] [ 39%] 2025-12-04T16:31:44.8427153Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_dynamic_with_ranges_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0139s] [ 39%] 2025-12-04T16:31:44.8427762Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_static_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1153s] [ 39%] 2025-12-04T16:31:44.8428394Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_unbacked_strict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8322s] [ 39%] 2025-12-04T16:31:44.8429053Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_matmul1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0963s] [ 39%] 2025-12-04T16:31:44.8429686Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_min_max_over_iterable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2121s] [ 39%] 2025-12-04T16:31:44.8430311Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_complex_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0106s] [ 39%] 2025-12-04T16:31:44.8430936Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_deepcopy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3308s] [ 39%] 2025-12-04T16:31:44.8431588Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_not_callable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0662s] [ 39%] 2025-12-04T16:31:44.8432246Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mro_type_tensor_no_source_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1022s] [ 39%] 2025-12-04T16:31:44.8432886Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_multiple_inheritance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0791s] [ 40%] 2025-12-04T16:31:44.8433607Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mutable_mapping_multiple_inheritance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1151s] [ 40%] 2025-12-04T16:31:44.8434231Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_named_parameters_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2531s] [ 40%] 2025-12-04T16:31:44.8434822Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0585s] [ 40%] 2025-12-04T16:31:44.8435431Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0705s] [ 40%] 2025-12-04T16:31:44.8436027Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0947s] [ 40%] 2025-12-04T16:31:44.8436656Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1448s] [ 40%] 2025-12-04T16:31:44.8437379Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_source_dynamic_attributes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0559s] [ 40%] 2025-12-04T16:31:44.8438123Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_sourceless_dynamic_attributes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0461s] [ 40%] 2025-12-04T16:31:44.8439371Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_with_custom_getitem_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0762s] [ 40%] 2025-12-04T16:31:44.8439918Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nan_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0781s] [ 40%] 2025-12-04T16:31:44.8440594Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0575s] [ 40%] 2025-12-04T16:31:44.8441304Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_graphbreak_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1153s] [ 40%] 2025-12-04T16:31:44.8441956Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_ne_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0784s] [ 40%] 2025-12-04T16:31:44.8442569Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2120s] [ 40%] 2025-12-04T16:31:44.8443219Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_closure_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1406s] [ 40%] 2025-12-04T16:31:44.8443903Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_dataclass_reconstruct_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1048s] [ 40%] 2025-12-04T16:31:44.8444652Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_frozen_dataclass_hashable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1153s] [ 40%] 2025-12-04T16:31:44.8445420Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_function_resuming_with_correct_globals_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3112s] [ 40%] 2025-12-04T16:31:44.8446080Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_decorator_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2080s] [ 40%] 2025-12-04T16:31:44.8446741Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2616s] [ 41%] 2025-12-04T16:31:44.8447378Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_run_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3363s] [ 41%] 2025-12-04T16:31:44.8448014Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0540s] [ 41%] 2025-12-04T16:31:44.8448687Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_with_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0562s] [ 41%] 2025-12-04T16:31:44.8449399Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_with_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3166s] [ 41%] 2025-12-04T16:31:44.8450041Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_with_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0565s] [ 41%] 2025-12-04T16:31:44.8450652Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_wraps_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2434s] [ 41%] 2025-12-04T16:31:44.8451458Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nesteduserfunction_setattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0874s] [ 41%] 2025-12-04T16:31:44.8452083Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_new_with_int_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1400s] [ 41%] 2025-12-04T16:31:44.8452803Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_newly_constructed_tensor_attr_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0750s] [ 41%] 2025-12-04T16:31:44.8453465Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_functional_reduction_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0918s] [ 41%] 2025-12-04T16:31:44.8454079Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_module_getattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1589s] [ 41%] 2025-12-04T16:31:44.8454757Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_module_getattribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1273s] [ 41%] 2025-12-04T16:31:44.8455427Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_sequential_invocation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2203s] [ 41%] 2025-12-04T16:31:44.8456182Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_sequential_invocation_reposition_indices_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1694s] [ 41%] 2025-12-04T16:31:44.8456842Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_error_on_nested_fx_trace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1059s] [ 41%] 2025-12-04T16:31:44.8457536Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_guard_for_unused_sym_node_fstring_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1054s] [ 41%] 2025-12-04T16:31:44.8458293Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_raise_guard_partial_constraint_across_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6113s] [ 41%] 2025-12-04T16:31:44.8458997Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_raise_guard_partial_constraint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2620s] [ 41%] 2025-12-04T16:31:44.8459744Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_non_pt2_compliant_ops_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0551s] [ 41%] 2025-12-04T16:31:44.8460371Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_not_dynamic_scope_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0500s] [ 42%] 2025-12-04T16:31:44.8460926Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numel_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1099s] [ 42%] 2025-12-04T16:31:44.8461565Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_array_of_arrays_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2343s] [ 42%] 2025-12-04T16:31:44.8462196Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_as_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8846s] [ 42%] 2025-12-04T16:31:44.8463348Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_fallback_on_eager_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:43:28.692104107 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8463355Z 2025-12-04T16:31:44.8463469Z PASSED [0.0447s] [ 42%] 2025-12-04T16:31:44.8464059Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_force_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1449s] [ 42%] 2025-12-04T16:31:44.8465137Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_gt_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:43:29.950750789 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8465148Z 2025-12-04T16:31:44.8465668Z [W1204 15:43:29.951116731 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8465674Z 2025-12-04T16:31:44.8466201Z [W1204 15:43:29.951305173 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8466208Z 2025-12-04T16:31:44.8466313Z PASSED [0.8702s] [ 42%] 2025-12-04T16:31:44.8466936Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_int_constant_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1079s] [ 42%] 2025-12-04T16:31:44.8467528Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0853s] [ 42%] 2025-12-04T16:31:44.8468596Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_min_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:43:30.117240215 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8468632Z 2025-12-04T16:31:44.8469158Z [W1204 15:43:30.117611948 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8469163Z 2025-12-04T16:31:44.8469678Z [W1204 15:43:30.117799799 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8469685Z 2025-12-04T16:31:44.8469800Z PASSED [1.0572s] [ 42%] 2025-12-04T16:31:44.8470455Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1923s] [ 42%] 2025-12-04T16:31:44.8471216Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_graph_break_with_multiple_outputs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3029s] [ 42%] 2025-12-04T16:31:44.8471958Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_works_with_builtin_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0965s] [ 42%] 2025-12-04T16:31:44.8473171Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_no_raise_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:43:32.154398907 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8473177Z 2025-12-04T16:31:44.8473739Z [W1204 15:43:32.154667344 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8473744Z 2025-12-04T16:31:44.8474263Z [W1204 15:43:32.155084815 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8474268Z 2025-12-04T16:31:44.8474798Z [W1204 15:43:32.155279084 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8474837Z 2025-12-04T16:31:44.8475350Z [W1204 15:43:32.155641460 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8475355Z 2025-12-04T16:31:44.8475882Z [W1204 15:43:32.155821664 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8475889Z 2025-12-04T16:31:44.8476404Z [W1204 15:43:32.156175278 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8476409Z 2025-12-04T16:31:44.8476918Z [W1204 15:43:32.156351708 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8476937Z 2025-12-04T16:31:44.8477446Z [W1204 15:43:32.156696380 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8477456Z 2025-12-04T16:31:44.8477967Z [W1204 15:43:32.156873393 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8477972Z 2025-12-04T16:31:44.8478497Z [W1204 15:43:32.157213269 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8478502Z 2025-12-04T16:31:44.8479016Z [W1204 15:43:32.157390206 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8479021Z 2025-12-04T16:31:44.8479135Z PASSED [2.0052s] [ 42%] 2025-12-04T16:31:44.8479768Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_non_torch_dtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0164s] [ 42%] 2025-12-04T16:31:44.8480443Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_random_config_to_numpy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0413s] [ 42%] 2025-12-04T16:31:44.8481097Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_readonly_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0610s] [ 42%] 2025-12-04T16:31:44.8481760Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_recompilation_scalar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0991s] [ 42%] 2025-12-04T16:31:44.8482377Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_size_attr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0821s] [ 42%] 2025-12-04T16:31:44.8482980Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_subdtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0738s] [ 42%] 2025-12-04T16:31:44.8483615Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_take_along_axis_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2230s] [ 43%] 2025-12-04T16:31:44.8484206Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_tolist_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1235s] [ 43%] 2025-12-04T16:31:44.8485343Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_torch_operators_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:43:35.441091318 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8485361Z 2025-12-04T16:31:44.8485905Z [W1204 15:43:35.442743730 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8485938Z 2025-12-04T16:31:44.8486453Z [W1204 15:43:35.626805499 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8486458Z 2025-12-04T16:31:44.8486981Z [W1204 15:43:35.626998863 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8486988Z 2025-12-04T16:31:44.8487533Z [W1204 15:43:36.800722013 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8487540Z 2025-12-04T16:31:44.8488065Z [W1204 15:43:36.802340231 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8488070Z 2025-12-04T16:31:44.8488584Z [W1204 15:43:36.978379259 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8488591Z 2025-12-04T16:31:44.8489115Z [W1204 15:43:36.978573237 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8489120Z 2025-12-04T16:31:44.8489630Z [W1204 15:43:36.062875813 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8489635Z 2025-12-04T16:31:44.8492824Z [W1204 15:43:36.065069212 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8492861Z 2025-12-04T16:31:44.8493422Z [W1204 15:43:36.066344733 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8493428Z 2025-12-04T16:31:44.8493949Z [W1204 15:43:36.117966073 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8493954Z 2025-12-04T16:31:44.8494477Z [W1204 15:43:36.119194011 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8494482Z 2025-12-04T16:31:44.8494995Z [W1204 15:43:36.120300241 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8495000Z 2025-12-04T16:31:44.8495525Z [W1204 15:43:36.159021152 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8495612Z 2025-12-04T16:31:44.8496137Z [W1204 15:43:36.160329913 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8496142Z 2025-12-04T16:31:44.8496658Z [W1204 15:43:36.161436877 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8496667Z 2025-12-04T16:31:44.8497192Z [W1204 15:43:36.199713577 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8497197Z 2025-12-04T16:31:44.8497706Z [W1204 15:43:36.201082205 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8497711Z 2025-12-04T16:31:44.8498234Z [W1204 15:43:36.202455603 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8498244Z 2025-12-04T16:31:44.8498758Z [W1204 15:43:36.203083742 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8498762Z 2025-12-04T16:31:44.8499286Z [W1204 15:43:36.345940320 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8499291Z 2025-12-04T16:31:44.8499837Z [W1204 15:43:36.347902183 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8499842Z 2025-12-04T16:31:44.8500352Z [W1204 15:43:36.349376296 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8500367Z 2025-12-04T16:31:44.8500879Z [W1204 15:43:36.567173481 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8500922Z 2025-12-04T16:31:44.8501436Z [W1204 15:43:36.569734256 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8501440Z 2025-12-04T16:31:44.8501963Z [W1204 15:43:36.729973262 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8501968Z 2025-12-04T16:31:44.8502479Z [W1204 15:43:36.731897135 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8502484Z 2025-12-04T16:31:44.8503009Z [W1204 15:43:36.733209125 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8503013Z 2025-12-04T16:31:44.8503523Z [W1204 15:43:36.734286106 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8503530Z 2025-12-04T16:31:44.8504122Z [W1204 15:43:37.107821382 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8504128Z 2025-12-04T16:31:44.8505234Z [W1204 15:43:37.109577532 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8505240Z 2025-12-04T16:31:44.8505773Z [W1204 15:43:37.110931675 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8505778Z 2025-12-04T16:31:44.8506291Z [W1204 15:43:38.824098537 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8506295Z 2025-12-04T16:31:44.8506806Z [W1204 15:43:38.825752831 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8506821Z 2025-12-04T16:31:44.8507336Z [W1204 15:43:38.995714589 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8507401Z 2025-12-04T16:31:44.8507917Z [W1204 15:43:38.996888393 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8507921Z 2025-12-04T16:31:44.8508447Z [W1204 15:43:38.997058827 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8508452Z 2025-12-04T16:31:44.8508966Z [W1204 15:43:38.185263916 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8508970Z 2025-12-04T16:31:44.8509497Z [W1204 15:43:38.187030269 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8509502Z 2025-12-04T16:31:44.8510017Z [W1204 15:43:38.440994167 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8510027Z 2025-12-04T16:31:44.8510547Z [W1204 15:43:38.442696328 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8510552Z 2025-12-04T16:31:44.8511116Z [W1204 15:43:38.714839060 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8511121Z 2025-12-04T16:31:44.8511650Z [W1204 15:43:38.715780222 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8511657Z 2025-12-04T16:31:44.8512171Z [W1204 15:43:38.717117734 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8512175Z 2025-12-04T16:31:44.8512689Z [W1204 15:43:39.974904943 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8512742Z 2025-12-04T16:31:44.8513267Z [W1204 15:43:39.058429595 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8513272Z 2025-12-04T16:31:44.8513790Z [W1204 15:43:39.299177371 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8513795Z 2025-12-04T16:31:44.8514317Z [W1204 15:43:39.300319660 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8514321Z 2025-12-04T16:31:44.8514831Z [W1204 15:43:39.456903015 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8514836Z 2025-12-04T16:31:44.8515357Z [W1204 15:43:39.457888473 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8515366Z 2025-12-04T16:31:44.8515944Z [W1204 15:43:39.459295169 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8515950Z 2025-12-04T16:31:44.8516477Z [W1204 15:43:39.460406067 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8516484Z 2025-12-04T16:31:44.8516993Z [W1204 15:43:39.599158447 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8516997Z 2025-12-04T16:31:44.8517507Z [W1204 15:43:39.599355952 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8517523Z 2025-12-04T16:31:44.8518037Z [W1204 15:43:39.601149026 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8518076Z 2025-12-04T16:31:44.8518591Z [W1204 15:43:40.777707114 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8518595Z 2025-12-04T16:31:44.8519120Z [W1204 15:43:40.778945741 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8519124Z 2025-12-04T16:31:44.8519638Z [W1204 15:43:40.780462165 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8519643Z 2025-12-04T16:31:44.8520165Z [W1204 15:43:40.781210132 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8520171Z 2025-12-04T16:31:44.8520683Z [W1204 15:43:40.913624498 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8520692Z 2025-12-04T16:31:44.8521220Z [W1204 15:43:40.983339902 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8521224Z 2025-12-04T16:31:44.8521735Z [W1204 15:43:40.984889745 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8521740Z 2025-12-04T16:31:44.8522298Z [W1204 15:43:40.223399012 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8522304Z 2025-12-04T16:31:44.8522815Z [W1204 15:43:40.224494679 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8522820Z 2025-12-04T16:31:44.8523331Z [W1204 15:43:40.225968553 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8523399Z 2025-12-04T16:31:44.8523916Z [W1204 15:43:40.679161993 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8523922Z 2025-12-04T16:31:44.8524433Z [W1204 15:43:40.680374561 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8524437Z 2025-12-04T16:31:44.8524964Z [W1204 15:43:41.308419763 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8524969Z 2025-12-04T16:31:44.8525481Z [W1204 15:43:41.309730116 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8525485Z 2025-12-04T16:31:44.8526011Z [W1204 15:43:41.309902784 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8526016Z 2025-12-04T16:31:44.8526567Z [W1204 15:43:41.327717372 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8526574Z 2025-12-04T16:31:44.8527102Z [W1204 15:43:41.328911413 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8527107Z 2025-12-04T16:31:44.8527625Z [W1204 15:43:41.330375590 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8527629Z 2025-12-04T16:31:44.8528156Z [W1204 15:43:41.330561589 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8528161Z 2025-12-04T16:31:44.8528674Z [W1204 15:43:41.461876618 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8528678Z 2025-12-04T16:31:44.8529191Z [W1204 15:43:41.463190340 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8529227Z 2025-12-04T16:31:44.8529749Z [W1204 15:43:41.464654203 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8529754Z 2025-12-04T16:31:44.8530271Z [W1204 15:43:41.695671574 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8530275Z 2025-12-04T16:31:44.8530803Z [W1204 15:43:41.696977431 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8530808Z 2025-12-04T16:31:44.8530917Z PASSED [6.5327s] [ 43%] 2025-12-04T16:31:44.8531670Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ufunc_out_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0503s] [ 43%] 2025-12-04T16:31:44.8532325Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ufunc_out_graph_break_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.1218s] [ 43%] 2025-12-04T16:31:44.8532938Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_unique_f16_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0507s] [ 43%] 2025-12-04T16:31:44.8533671Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_variable_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1177s] [ 43%] 2025-12-04T16:31:44.8534319Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_with_builtin_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1101s] [ 43%] 2025-12-04T16:31:44.8534960Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_classmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0467s] [ 43%] 2025-12-04T16:31:44.8535663Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_setattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2595s] [ 43%] 2025-12-04T16:31:44.8536791Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_staticmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0449s] [ 43%] 2025-12-04T16:31:44.8537436Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_onnx_shape_as_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2956s] [ 43%] 2025-12-04T16:31:44.8538090Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_optimize_on_module_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1044s] [ 43%] 2025-12-04T16:31:44.8538805Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ordered_dict_alias_reconstruct_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1079s] [ 43%] 2025-12-04T16:31:44.8539446Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ordered_dict_move_to_end_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0888s] [ 43%] 2025-12-04T16:31:44.8540058Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_os_environ_get_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1967s] [ 43%] 2025-12-04T16:31:44.8540751Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_os_environ_set_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2207s] [ 43%] 2025-12-04T16:31:44.8541388Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variant_custom_op_dynamic_shapes <- test/dynamo/test_misc.py PASSED [13.8426s] [ 43%] 2025-12-04T16:31:44.8542134Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1641s] [ 43%] 2025-12-04T16:31:44.8542973Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_with_dynamic1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4609s] [ 44%] 2025-12-04T16:31:44.8543784Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_with_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3576s] [ 44%] 2025-12-04T16:31:44.8544447Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_outside_linear_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.7447s] [ 44%] 2025-12-04T16:31:44.8545156Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_overridden_getattribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1342s] [ 44%] 2025-12-04T16:31:44.8545802Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_packaging_version_parse_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0929s] [ 44%] 2025-12-04T16:31:44.8546357Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pair_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1311s] [ 44%] 2025-12-04T16:31:44.8546995Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_param_shape_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6786s] [ 44%] 2025-12-04T16:31:44.8549750Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_parameter_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.6479s] [ 44%] 2025-12-04T16:31:44.8550448Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_patched_builtin_functions_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2000s] [ 44%] 2025-12-04T16:31:44.8551146Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pep0479_convert_stopiteration_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0623s] [ 44%] 2025-12-04T16:31:44.8551772Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entries_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9522s] [ 44%] 2025-12-04T16:31:44.8552416Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entry_hit_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9469s] [ 44%] 2025-12-04T16:31:44.8553050Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entry_miss_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9432s] [ 44%] 2025-12-04T16:31:44.8553751Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_fail_on_recompile_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0062s] [ 44%] 2025-12-04T16:31:44.8554448Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_proxy_frozen_dataclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9757s] [ 44%] 2025-12-04T16:31:44.8555125Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pt2_compliant_ops_are_allowed_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0756s] [ 44%] 2025-12-04T16:31:44.8555765Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pt2_compliant_overload_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1276s] [ 44%] 2025-12-04T16:31:44.8556416Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pure_python_accumulate_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0846s] [ 44%] 2025-12-04T16:31:44.8557047Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_py_guards_mark_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7164s] [ 44%] 2025-12-04T16:31:44.8557677Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_python_slice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1892s] [ 44%] 2025-12-04T16:31:44.8558361Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_full_constraint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1068s] [ 45%] 2025-12-04T16:31:44.8559068Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_indirect_full_constraint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0998s] [ 45%] 2025-12-04T16:31:44.8559817Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_partial_constraint_across_break_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.2713s] [ 45%] 2025-12-04T16:31:44.8560565Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_partial_constraint_no_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1195s] [ 45%] 2025-12-04T16:31:44.8561202Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_on_backend_error_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0819s] [ 45%] 2025-12-04T16:31:44.8561816Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2592s] [ 45%] 2025-12-04T16:31:44.8562449Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_importerror1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0159s] [ 45%] 2025-12-04T16:31:44.8563088Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_importerror2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0143s] [ 45%] 2025-12-04T16:31:44.8563680Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range___iter___dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0714s] [ 45%] 2025-12-04T16:31:44.8564277Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1194s] [ 45%] 2025-12-04T16:31:44.8565455Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_iter_guards_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:44:09.623459025 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8565467Z 2025-12-04T16:31:44.8565987Z [W1204 15:44:09.624511105 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8566002Z 2025-12-04T16:31:44.8566519Z [W1204 15:44:09.624921190 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8566524Z 2025-12-04T16:31:44.8567038Z [W1204 15:44:09.625117128 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8567043Z 2025-12-04T16:31:44.8567573Z [W1204 15:44:10.376233803 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8567578Z 2025-12-04T16:31:44.8568125Z [W1204 15:44:10.376482977 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8568133Z 2025-12-04T16:31:44.8568660Z [W1204 15:44:10.376876467 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8568665Z 2025-12-04T16:31:44.8569175Z [W1204 15:44:10.377067438 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8569180Z 2025-12-04T16:31:44.8569704Z [W1204 15:44:10.377405040 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8569709Z 2025-12-04T16:31:44.8570221Z [W1204 15:44:10.377585586 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8570225Z 2025-12-04T16:31:44.8570335Z PASSED [1.5921s] [ 45%] 2025-12-04T16:31:44.8571173Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_iter_side_effects_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0488s] [ 45%] 2025-12-04T16:31:44.8571794Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0867s] [ 45%] 2025-12-04T16:31:44.8572462Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_real_imag_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2638s] [ 45%] 2025-12-04T16:31:44.8573143Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_message_on_parameter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1648s] [ 45%] 2025-12-04T16:31:44.8573795Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_disable_1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2022s] [ 45%] 2025-12-04T16:31:44.8574433Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_disable_2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0034s] [ 45%] 2025-12-04T16:31:44.8575156Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_global_state_change_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1927s] [ 45%] 2025-12-04T16:31:44.8575850Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_reconstruct_frozen_dataclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1117s] [ 45%] 2025-12-04T16:31:44.8576546Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_reconstruct_set_across_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1655s] [ 45%] 2025-12-04T16:31:44.8577209Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursion_depth_guards_dynamic_shapes <- test/dynamo/test_misc.py PASSED [34.5068s] [ 46%] 2025-12-04T16:31:44.8577889Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursive_inline_list_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0539s] [ 46%] 2025-12-04T16:31:44.8578633Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursive_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3465s] [ 46%] 2025-12-04T16:31:44.8579279Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_input_memory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0725s] [ 46%] 2025-12-04T16:31:44.8579915Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_module_memory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1170s] [ 46%] 2025-12-04T16:31:44.8580554Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_scope_memory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0255s] [ 46%] 2025-12-04T16:31:44.8581135Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_remove_set_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0699s] [ 46%] 2025-12-04T16:31:44.8581834Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repeat_interleave_graphbreaks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6523s] [ 46%] 2025-12-04T16:31:44.8582527Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_config_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1147s] [ 46%] 2025-12-04T16:31:44.8583194Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_input_mut_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2481s] [ 46%] 2025-12-04T16:31:44.8583879Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_model_attr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.6283s] [ 46%] 2025-12-04T16:31:44.8584434Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9036s] [ 46%] 2025-12-04T16:31:44.8585143Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repro_graph_breaks_in__get_item_by_idx_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1158s] [ 46%] 2025-12-04T16:31:44.8585776Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_restore_graphstate_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3453s] [ 46%] 2025-12-04T16:31:44.8586520Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_return_dict_with_graph_break_and_update_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1205s] [ 46%] 2025-12-04T16:31:44.8587172Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_return_nested_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1357s] [ 46%] 2025-12-04T16:31:44.8587915Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_returning_func_with_captured_func_and_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0451s] [ 46%] 2025-12-04T16:31:44.8588659Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_returning_nested_func_with_captured_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0444s] [ 46%] 2025-12-04T16:31:44.8589387Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_running_func_with_captured_func_and_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0447s] [ 46%] 2025-12-04T16:31:44.8590156Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_running_nested_func_with_captured_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0420s] [ 46%] 2025-12-04T16:31:44.8591328Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_runtime_assert_replacement_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:44:54.073314287 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8591334Z 2025-12-04T16:31:44.8591437Z PASSED [0.0960s] [ 47%] 2025-12-04T16:31:44.8592047Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sample_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0783s] [ 47%] 2025-12-04T16:31:44.8592825Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_device_movement_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0035s] (Doesn't work with symints) [ 47%] 2025-12-04T16:31:44.8593625Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_int_list_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2008s] [ 47%] 2025-12-04T16:31:44.8594377Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_symint_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8138s] [ 47%] 2025-12-04T16:31:44.8595162Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_symint_list_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2883s] [ 47%] 2025-12-04T16:31:44.8595804Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sequential_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.4121s] [ 47%] 2025-12-04T16:31:44.8596454Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_aliasing_recompiles_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5018s] [ 47%] 2025-12-04T16:31:44.8597133Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_custom_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0932s] [ 47%] 2025-12-04T16:31:44.8597773Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0826s] [ 47%] 2025-12-04T16:31:44.8598371Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_discard_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0756s] [ 47%] 2025-12-04T16:31:44.8598951Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_update_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1133s] [ 47%] 2025-12-04T16:31:44.8599572Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1678s] [ 47%] 2025-12-04T16:31:44.8600203Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1320s] [ 47%] 2025-12-04T16:31:44.8600824Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1331s] [ 47%] 2025-12-04T16:31:44.8601521Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_and_tuple_equality_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2276s] [ 47%] 2025-12-04T16:31:44.8602185Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_constructor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0039s] [ 47%] 2025-12-04T16:31:44.8603018Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_create_symbolic_sizes_strides_storage_offset_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0229s] [ 47%] 2025-12-04T16:31:44.8603644Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_empty_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0033s] [ 47%] 2025-12-04T16:31:44.8604368Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_divisible_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0303s] [ 48%] 2025-12-04T16:31:44.8605289Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_refinement_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0253s] [ 48%] 2025-12-04T16:31:44.8606024Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_replacement_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0304s] [ 48%] 2025-12-04T16:31:44.8606711Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_runtime_assert_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0133s] [ 48%] 2025-12-04T16:31:44.8607359Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_unbacked_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0096s] [ 48%] 2025-12-04T16:31:44.8607990Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_no_recording_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0125s] [ 48%] 2025-12-04T16:31:44.8608775Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_recorded_function_fallback_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0033s] [ 48%] 2025-12-04T16:31:44.8609420Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_int_comparisons_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1011s] [ 48%] 2025-12-04T16:31:44.8610080Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_int_inplace_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1077s] [ 48%] 2025-12-04T16:31:44.8610665Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0477s] [ 48%] 2025-12-04T16:31:44.8611384Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_unpack_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1005s] [ 48%] 2025-12-04T16:31:44.8612085Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_side_effects_codegen_update_mutated_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6828s] [ 48%] 2025-12-04T16:31:44.8612748Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_simple_set_usage_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1178s] [ 48%] 2025-12-04T16:31:44.8613332Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_size_dim_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2028s] [ 48%] 2025-12-04T16:31:44.8613913Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_size_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3096s] [ 48%] 2025-12-04T16:31:44.8614513Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_slice_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2800s] [ 48%] 2025-12-04T16:31:44.8615179Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_source_non_input_grad_access_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1079s] [ 48%] 2025-12-04T16:31:44.8615827Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sourceless_namedtuple_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0711s] [ 48%] 2025-12-04T16:31:44.8617107Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sparse_output_inductor_should_break_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:45:01.759779678 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8617114Z 2025-12-04T16:31:44.8617637Z [W1204 15:45:02.886434507 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8617642Z 2025-12-04T16:31:44.8617756Z PASSED [0.2029s] [ 48%] 2025-12-04T16:31:44.8618368Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_storage_return_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0918s] [ 48%] 2025-12-04T16:31:44.8618961Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str___iter___dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0695s] [ 49%] 2025-12-04T16:31:44.8619582Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_assert1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1912s] [ 49%] 2025-12-04T16:31:44.8620250Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_assert2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4780s] [ 49%] 2025-12-04T16:31:44.8620875Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_return1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1601s] [ 49%] 2025-12-04T16:31:44.8621487Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_return2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1593s] [ 49%] 2025-12-04T16:31:44.8622079Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_stride_dim_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1883s] [ 49%] 2025-12-04T16:31:44.8622664Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_structseq1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0934s] [ 49%] 2025-12-04T16:31:44.8623281Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_structseq2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1518s] [ 49%] 2025-12-04T16:31:44.8623939Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_super_after_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3831s] [ 49%] 2025-12-04T16:31:44.8624608Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_super_calling_with_metaclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2686s] [ 49%] 2025-12-04T16:31:44.8625711Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sym_and_terms_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:45:05.349924555 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8625716Z 2025-12-04T16:31:44.8625820Z PASSED [0.1514s] [ 49%] 2025-12-04T16:31:44.8626589Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sym_constrain_range_on_replaced_unbacked_symbol_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9792s] [ 49%] 2025-12-04T16:31:44.8627405Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_as_device_kwarg_multi_gpu_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] (need multiple GPU) [ 49%] 2025-12-04T16:31:44.8628127Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_as_device_kwarg_non_strict_export_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0468s] [ 49%] 2025-12-04T16:31:44.8628810Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_copy_into_unbacked_slice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.3549s] [ 49%] 2025-12-04T16:31:44.8630028Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_fold_nontrivial_product_modulo_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:45:09.820899298 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8630034Z 2025-12-04T16:31:44.8630565Z [W1204 15:45:09.821268783 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8630606Z 2025-12-04T16:31:44.8631125Z [W1204 15:45:09.821447801 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8631130Z 2025-12-04T16:31:44.8631246Z PASSED [0.7906s] [ 49%] 2025-12-04T16:31:44.8631832Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sys_modules_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4670s] [ 49%] 2025-12-04T16:31:44.8632565Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tagging_tensors_mix_used_unused_structure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2527s] [ 49%] 2025-12-04T16:31:44.8633223Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tagging_tensors_simple_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0985s] [ 49%] 2025-12-04T16:31:44.8633820Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor__iter___dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1260s] [ 49%] 2025-12-04T16:31:44.8634530Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_build_list_unpack_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1765s] [ 50%] 2025-12-04T16:31:44.8635180Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_ctor_list_of_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0607s] [ 50%] 2025-12-04T16:31:44.8635776Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_data_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1084s] [ 50%] 2025-12-04T16:31:44.8636363Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0598s] [ 50%] 2025-12-04T16:31:44.8636976Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1708s] [ 50%] 2025-12-04T16:31:44.8637597Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0672s] [ 50%] 2025-12-04T16:31:44.8638287Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dot_grad_no_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2925s] [ 50%] 2025-12-04T16:31:44.8638925Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dynamic_method_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7491s] [ 50%] 2025-12-04T16:31:44.8639529Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.8102s] [ 50%] 2025-12-04T16:31:44.8640250Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_interacts_with_numpy_ndarray_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4109s] [ 50%] 2025-12-04T16:31:44.8640885Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_is_contiguous_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0989s] [ 50%] 2025-12-04T16:31:44.8641560Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_item_capture_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1271s] [ 50%] 2025-12-04T16:31:44.8642201Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_item_no_capture_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1579s] [ 50%] 2025-12-04T16:31:44.8642802Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1225s] [ 50%] 2025-12-04T16:31:44.8643396Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_layout_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0846s] [ 50%] 2025-12-04T16:31:44.8644092Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_setattr_getset_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1300s] [ 50%] 2025-12-04T16:31:44.8644700Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_types_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3156s] [ 50%] 2025-12-04T16:31:44.8645369Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_thread_local_setattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9061s] [ 50%] 2025-12-04T16:31:44.8645965Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_0d_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0518s] [ 50%] 2025-12-04T16:31:44.8646543Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_1d_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0939s] [ 50%] 2025-12-04T16:31:44.8647105Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.8496s] [ 51%] 2025-12-04T16:31:44.8647717Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_float_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1023s] [ 51%] 2025-12-04T16:31:44.8648336Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_kd_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4730s] [ 51%] 2025-12-04T16:31:44.8648928Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_kd_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3549s] [ 51%] 2025-12-04T16:31:44.8649557Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_scalar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0571s] [ 51%] 2025-12-04T16:31:44.8650181Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_top_package_import_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0978s] [ 51%] 2025-12-04T16:31:44.8650781Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0788s] [ 51%] 2025-12-04T16:31:44.8651521Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_nonnegative_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0187s] [ 51%] 2025-12-04T16:31:44.8652212Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_symbolic_shape_rel_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0779s] [ 51%] 2025-12-04T16:31:44.8653000Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_compile_ctx_on_forward_and_training_step_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0247s] [ 51%] 2025-12-04T16:31:44.8653724Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_distributions_lazy_property_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4735s] [ 51%] 2025-12-04T16:31:44.8654373Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_dtype_python_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0722s] [ 51%] 2025-12-04T16:31:44.8655020Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_dynamo_codegen_pow_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8652s] [ 51%] 2025-12-04T16:31:44.8655689Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_generator_set_state_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2503s] [ 51%] 2025-12-04T16:31:44.8656455Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_guards_stack_frame_register_inlining_deep_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2499s] [ 51%] 2025-12-04T16:31:44.8657251Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_guards_stack_frame_register_inlining_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2389s] [ 51%] 2025-12-04T16:31:44.8657932Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_nn_parameter_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1059s] [ 51%] 2025-12-04T16:31:44.8658560Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_objects_as_keys_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0413s] [ 51%] 2025-12-04T16:31:44.8659265Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_package_working_with_trace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1985s] [ 51%] 2025-12-04T16:31:44.8659847Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_seed_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0659s] [ 51%] 2025-12-04T16:31:44.8660475Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0901s] [ 52%] 2025-12-04T16:31:44.8661122Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_numel_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0831s] [ 52%] 2025-12-04T16:31:44.8661744Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_numel_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0356s] [ 52%] 2025-12-04T16:31:44.8662380Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_variable_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0910s] [ 52%] 2025-12-04T16:31:44.8663012Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_trace_ndarray_frame_2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1342s] [ 52%] 2025-12-04T16:31:44.8663649Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_trace_ndarray_frame_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1674s] [ 52%] 2025-12-04T16:31:44.8664367Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tracing_nested_py_tree_mixed_all_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2224s] [ 52%] 2025-12-04T16:31:44.8664967Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1387s] [ 52%] 2025-12-04T16:31:44.8665592Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_from_tuple_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3908s] [ 52%] 2025-12-04T16:31:44.8666193Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0736s] [ 52%] 2025-12-04T16:31:44.8666835Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_iadd_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1157s] [ 52%] 2025-12-04T16:31:44.8667439Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_mul_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0588s] [ 52%] 2025-12-04T16:31:44.8668081Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_mul_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0887s] [ 52%] 2025-12-04T16:31:44.8668715Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tying_union_new_syntax_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0738s] [ 52%] 2025-12-04T16:31:44.8669289Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_type_copy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2107s] [ 52%] 2025-12-04T16:31:44.8669887Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0629s] [ 52%] 2025-12-04T16:31:44.8670493Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_typevar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0624s] [ 52%] 2025-12-04T16:31:44.8671163Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_union_and_optional_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0738s] [ 52%] 2025-12-04T16:31:44.8671895Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_union_new_syntax_reconstruct_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.0434s] [ 52%] 2025-12-04T16:31:44.8672576Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_variable_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0936s] [ 53%] 2025-12-04T16:31:44.8673206Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_2d_expand_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.2040s] [ 53%] 2025-12-04T16:31:44.8673840Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_empty_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0837s] [ 53%] 2025-12-04T16:31:44.8674476Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_repeat_cat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1229s] [ 53%] 2025-12-04T16:31:44.8675162Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_sources_scalar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0507s] [ 53%] 2025-12-04T16:31:44.8675824Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_sources_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0717s] [ 53%] 2025-12-04T16:31:44.8676451Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_strict_mode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0462s] [ 53%] 2025-12-04T16:31:44.8677087Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_symint_split_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2414s] [ 53%] 2025-12-04T16:31:44.8678291Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unhandled_exception_in_dynamo2_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:45:27.571359332 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8678300Z 2025-12-04T16:31:44.8678407Z PASSED [0.1986s] [ 53%] 2025-12-04T16:31:44.8679142Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unhandled_exception_in_dynamo_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0291s] [ 53%] 2025-12-04T16:31:44.8679768Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unique_consecutive_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0760s] [ 53%] 2025-12-04T16:31:44.8680355Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack4_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2305s] [ 53%] 2025-12-04T16:31:44.8680922Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack5_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2117s] [ 53%] 2025-12-04T16:31:44.8681597Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack_tensor_shape_mismatch_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0923s] [ 53%] 2025-12-04T16:31:44.8682370Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_update_locals_and_stack_uses_shared_cache_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0541s] [ 53%] 2025-12-04T16:31:44.8683036Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_code_statically_known_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1446s] [ 53%] 2025-12-04T16:31:44.8683671Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_binop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0794s] [ 53%] 2025-12-04T16:31:44.8684311Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_class_name_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1635s] [ 53%] 2025-12-04T16:31:44.8684988Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_class_python_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1409s] [ 53%] 2025-12-04T16:31:44.8685607Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3164s] [ 53%] 2025-12-04T16:31:44.8686353Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_object_class_interaction_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0823s] [ 54%] 2025-12-04T16:31:44.8686999Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_setattr1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0802s] [ 54%] 2025-12-04T16:31:44.8687632Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_setattr2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0747s] [ 54%] 2025-12-04T16:31:44.8688400Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_enum_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0733s] [ 54%] 2025-12-04T16:31:44.8689181Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_function_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1327s] [ 54%] 2025-12-04T16:31:44.8690100Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_type_abcmeta_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0966s] [ 54%] 2025-12-04T16:31:44.8690716Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattr1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0895s] [ 54%] 2025-12-04T16:31:44.8691419Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattr2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0997s] [ 54%] 2025-12-04T16:31:44.8692061Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1691s] [ 54%] 2025-12-04T16:31:44.8692658Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_property_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0827s] [ 54%] 2025-12-04T16:31:44.8693287Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_usr_cls_classmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1310s] [ 54%] 2025-12-04T16:31:44.8693937Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_usr_cls_staticmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1306s] [ 54%] 2025-12-04T16:31:44.8695196Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_validate_outputs_unbacked_by_custom_op_dynamic_shapes <- test/dynamo/test_misc.py [W1204 15:45:30.443526955 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8695202Z 2025-12-04T16:31:44.8695321Z PASSED [0.4769s] [ 54%] 2025-12-04T16:31:44.8695980Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_validate_outputs_unbacked_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.2272s] [ 54%] 2025-12-04T16:31:44.8696677Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_variable_access_in_exception_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0438s] [ 54%] 2025-12-04T16:31:44.8697433Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_variable_tracker_recursively_contains_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0765s] [ 54%] 2025-12-04T16:31:44.8698025Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_version_ci_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0033s] [ 54%] 2025-12-04T16:31:44.8698655Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_with_builtin_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1123s] [ 54%] 2025-12-04T16:31:44.8699344Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_write_to_cells_with_name_shadowing_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7348s] [ 54%] 2025-12-04T16:31:44.8700026Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_write_to_closures_in_inlining_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0934s] [ 54%] 2025-12-04T16:31:44.8700701Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_writes_to_cells_across_frames1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0210s] [ 55%] 2025-12-04T16:31:44.8701388Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_writes_to_cells_across_frames2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0609s] [ 55%] 2025-12-04T16:31:44.8702000Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2425s] [ 55%] 2025-12-04T16:31:44.8702616Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_in_a_loop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0793s] [ 55%] 2025-12-04T16:31:44.8703302Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_user_stop_iteration_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0459s] [ 55%] 2025-12-04T16:31:44.8703912Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_gen_and_from_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0821s] [ 55%] 2025-12-04T16:31:44.8704773Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_send_to_subgenerator_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0044s] [ 55%] 2025-12-04T16:31:44.8705498Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_312_local_cell_overlap_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1511s] [ 55%] 2025-12-04T16:31:44.8706075Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_Size_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0677s] [ 55%] 2025-12-04T16:31:44.8706694Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_abc_setattr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0808s] [ 55%] 2025-12-04T16:31:44.8707318Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_add_complex_conj_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7840s] [ 55%] 2025-12-04T16:31:44.8707956Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_add_sub_alpha_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.1520s] [ 55%] 2025-12-04T16:31:44.8708594Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_addr_alpha_beta_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9133s] [ 55%] 2025-12-04T16:31:44.8709289Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_amp_foreach_fake_impl_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2079s] [ 55%] 2025-12-04T16:31:44.8710085Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_aot_autograd_runtime_wrapper_prologue_profiled_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4279s] [ 55%] 2025-12-04T16:31:44.8710807Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_as_strided_on_base_with_mutation_works_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1980s] [ 55%] 2025-12-04T16:31:44.8712034Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_as_strided_on_existing_view_banned_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:45:37.847619659 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8712040Z 2025-12-04T16:31:44.8712142Z PASSED [0.1721s] [ 55%] 2025-12-04T16:31:44.8712877Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_attached_attribute_in_dir_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0025s] [ 55%] 2025-12-04T16:31:44.8713577Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_autograd_function_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1252s] [ 55%] 2025-12-04T16:31:44.8714260Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_avoid_dupe_specialization_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7681s] [ 55%] 2025-12-04T16:31:44.8714952Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batch_encoding_clone_inputs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0016s] [ 56%] 2025-12-04T16:31:44.8715569Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batch_norm_act_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3249s] [ 56%] 2025-12-04T16:31:44.8716197Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batchnorm_e2e_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.9630s] [ 56%] 2025-12-04T16:31:44.8716926Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bigbird_unsqueeze_inplace_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6590s] [ 56%] 2025-12-04T16:31:44.8717566Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bitwise_op_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1299s] [ 56%] 2025-12-04T16:31:44.8718238Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bitwise_print_precedence_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1790s] [ 56%] 2025-12-04T16:31:44.8718830Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_boxes_len_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1086s] [ 56%] 2025-12-04T16:31:44.8719513Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_build_map_unpack_with_call_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1196s] [ 56%] 2025-12-04T16:31:44.8720328Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_c_defined_metaclass_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (missing msgspec package) [ 56%] 2025-12-04T16:31:44.8721060Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_cells_unsupported_step_exception_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0992s] [ 56%] 2025-12-04T16:31:44.8721690Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_changing_stride_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2693s] [ 56%] 2025-12-04T16:31:44.8722321Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_chunk_reformer_ff_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7111s] [ 56%] 2025-12-04T16:31:44.8722947Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_class_member_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1684s] [ 56%] 2025-12-04T16:31:44.8723606Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_classmethod_with_slots_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0905s] [ 56%] 2025-12-04T16:31:44.8724308Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_clone_not_memory_dense_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1816s] [ 56%] 2025-12-04T16:31:44.8725003Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compilation_metrics_on_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1069s] [ 56%] 2025-12-04T16:31:44.8725663Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compile_complex_conj_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2503s] [ 56%] 2025-12-04T16:31:44.8726336Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compile_copy__int_overload_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1415s] [ 56%] 2025-12-04T16:31:44.8727022Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compiled_module_truthiness_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0057s] [ 56%] 2025-12-04T16:31:44.8727709Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_const_dict_keyerror_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0852s] [ 57%] 2025-12-04T16:31:44.8728395Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_contains_range_constprop_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0668s] [ 57%] 2025-12-04T16:31:44.8729097Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_convert_boxes_to_pooler_format_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7907s] [ 57%] 2025-12-04T16:31:44.8729737Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_copy_weird_strides_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.2092s] [ 57%] 2025-12-04T16:31:44.8730425Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_create_rand_mask_from_inputs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [240.4577s] [ 57%] 2025-12-04T16:31:44.8731146Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dalle2_maybe_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0507s] [ 57%] 2025-12-04T16:31:44.8731908Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_data_attr_mutation_after_saved_for_bw_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3327s] [ 57%] 2025-12-04T16:31:44.8733075Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dataclass_in_module_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:49:47.503833569 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8733081Z 2025-12-04T16:31:44.8733599Z [W1204 15:49:47.504208366 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8733605Z 2025-12-04T16:31:44.8734135Z [W1204 15:49:47.504395291 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8734140Z 2025-12-04T16:31:44.8734242Z PASSED [0.2445s] [ 57%] 2025-12-04T16:31:44.8735093Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dataclass_init_with_default_factory_with_inputs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3912s] [ 57%] 2025-12-04T16:31:44.8736121Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ddp_checkpoint_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Failing with ncc update 2.25.1 : https://github.com/pytorch/pytorch/issues/147141) [ 57%] 2025-12-04T16:31:44.8736735Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dedup_global_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1838s] [ 57%] 2025-12-04T16:31:44.8737428Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_deferred_runtime_asserts_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1262s] [ 57%] 2025-12-04T16:31:44.8738021Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0335s] [ 57%] 2025-12-04T16:31:44.8738659Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_raises_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0160s] [ 57%] 2025-12-04T16:31:44.8739329Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_return_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0355s] [ 57%] 2025-12-04T16:31:44.8739965Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delete_local_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0371s] [ 57%] 2025-12-04T16:31:44.8740695Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_deleted_compile_wrapper_segfault_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0485s] [ 57%] 2025-12-04T16:31:44.8741296Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delsubscr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0310s] [ 57%] 2025-12-04T16:31:44.8741949Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delsubscr_raises_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0110s] [ 57%] 2025-12-04T16:31:44.8742660Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_detectron2_instances_cat_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3694s] [ 57%] 2025-12-04T16:31:44.8743454Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_disabling_unpack_hooks_within_compiled_region_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2259s] [ 58%] 2025-12-04T16:31:44.8744126Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_distributions_subclass_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1917s] [ 58%] 2025-12-04T16:31:44.8744745Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_do_paste_mask_dynamic_shapes <- test/dynamo/test_repros.py PASSED [11.8564s] [ 58%] 2025-12-04T16:31:44.8745456Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dont_aggressively_write_assert_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4628s] [ 58%] 2025-12-04T16:31:44.8746065Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dont_dce_rand_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9347s] [ 58%] 2025-12-04T16:31:44.8746755Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dropout_inline_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1478s] [ 58%] 2025-12-04T16:31:44.8747455Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shape_disable_duck_size_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2004s] [ 58%] 2025-12-04T16:31:44.8748152Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_double_not_equal_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3761s] [ 58%] 2025-12-04T16:31:44.8748841Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_float_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1382s] [ 58%] 2025-12-04T16:31:44.8749535Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_implicit_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0910s] [ 58%] 2025-12-04T16:31:44.8750226Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_right_side_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0835s] [ 58%] 2025-12-04T16:31:44.8750963Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_default_lru_cache_behavior_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0845s] [ 58%] 2025-12-04T16:31:44.8751689Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_disable_lru_cache_behavior_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0822s] [ 58%] 2025-12-04T16:31:44.8752591Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_set_recursion_limit_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (only 3.12, 3.13 affected by c recursion limit) [ 58%] 2025-12-04T16:31:44.8753513Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_set_recursion_limit_usage_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0002s] (only 3.12, 3.13 affected by c recursion limit) [ 58%] 2025-12-04T16:31:44.8754133Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ellipsis_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6168s] [ 58%] 2025-12-04T16:31:44.8754923Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_embedding_backward_broadcasting_decomp_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2588s] [ 58%] 2025-12-04T16:31:44.8755683Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_graph_nested_calls_fullgraph_False_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0913s] [ 58%] 2025-12-04T16:31:44.8756423Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_graph_nested_calls_fullgraph_True_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0857s] [ 58%] 2025-12-04T16:31:44.8757124Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_list_contains_with_jump_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0885s] [ 58%] 2025-12-04T16:31:44.8757790Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1987s] [ 59%] 2025-12-04T16:31:44.8758373Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_enum_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0947s] [ 59%] 2025-12-04T16:31:44.8759019Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ephemeral_module_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1560s] [ 59%] 2025-12-04T16:31:44.8759737Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_error_return_without_exception_set_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0123s] [ 59%] 2025-12-04T16:31:44.8760442Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exception_in_dynamo_handling_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0165s] [ 59%] 2025-12-04T16:31:44.8761047Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exec_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0390s] [ 59%] 2025-12-04T16:31:44.8761701Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exec_wildcard_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0828s] [ 59%] 2025-12-04T16:31:44.8762503Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_export_vs_dynamo_for_multiheadattention_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.9609s] [ 59%] 2025-12-04T16:31:44.8763436Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_flip_bad_accuracy_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Skip this flip test for the moment. It is under investigation) [ 59%] 2025-12-04T16:31:44.8764127Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_for_loop_graph_break_before_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4190s] [ 59%] 2025-12-04T16:31:44.8764768Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_for_loop_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0913s] [ 59%] 2025-12-04T16:31:44.8765449Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_foreach_decomp_arg_names_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8972s] [ 59%] 2025-12-04T16:31:44.8766323Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_fsdp_set_input_mutation_applied_when_input_gets_no_gradients_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0015s] [ 59%] 2025-12-04T16:31:44.8766989Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_function_in_skipfiles_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0848s] [ 59%] 2025-12-04T16:31:44.8767635Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_functools_wraps_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0301s] [ 59%] 2025-12-04T16:31:44.8768472Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_gan_repro_trying_to_backward_through_the_graph_a_second_time_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7162s] [ 59%] 2025-12-04T16:31:44.8769123Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_generator_dealloc_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0501s] [ 59%] 2025-12-04T16:31:44.8769803Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_get_parameter_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0873s] [ 59%] 2025-12-04T16:31:44.8770436Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_get_type_hints_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.9891s] [ 59%] 2025-12-04T16:31:44.8771155Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_global_fn_mutation_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0766s] [ 59%] 2025-12-04T16:31:44.8771729Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1148s] [ 60%] 2025-12-04T16:31:44.8772535Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_mode_carrying_correct_state_after_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1354s] [ 60%] 2025-12-04T16:31:44.8773246Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_references_cleared_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3900s] [ 60%] 2025-12-04T16:31:44.8774469Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_on_jit_isinstance_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:50:14.741001778 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8774475Z 2025-12-04T16:31:44.8775002Z [W1204 15:50:14.741189792 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8775007Z 2025-12-04T16:31:44.8775538Z [W1204 15:50:14.741304975 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8775544Z 2025-12-04T16:31:44.8776059Z [W1204 15:50:14.755619857 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8776064Z 2025-12-04T16:31:44.8776615Z [W1204 15:50:14.755784496 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8776634Z 2025-12-04T16:31:44.8777151Z [W1204 15:50:14.755897313 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8777156Z 2025-12-04T16:31:44.8777260Z PASSED [0.0754s] [ 60%] 2025-12-04T16:31:44.8778503Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_on_jit_isinstance_pep585_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:50:15.816443238 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8778509Z 2025-12-04T16:31:44.8779024Z [W1204 15:50:15.816629369 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8779029Z 2025-12-04T16:31:44.8779593Z [W1204 15:50:15.816742828 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8779602Z 2025-12-04T16:31:44.8780117Z [W1204 15:50:15.831125984 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8780122Z 2025-12-04T16:31:44.8780650Z [W1204 15:50:15.831285474 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8780654Z 2025-12-04T16:31:44.8781166Z [W1204 15:50:15.831395621 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8781171Z 2025-12-04T16:31:44.8781274Z PASSED [0.0739s] [ 60%] 2025-12-04T16:31:44.8782494Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_unsupported_fake_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:50:15.854194670 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8782536Z 2025-12-04T16:31:44.8782642Z PASSED [0.1580s] [ 60%] 2025-12-04T16:31:44.8783306Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_default_device_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0995s] [ 60%] 2025-12-04T16:31:44.8783964Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_fail_nested_tuple_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0478s] [ 60%] 2025-12-04T16:31:44.8784635Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_fail_tensor_bool_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.6174s] [ 60%] 2025-12-04T16:31:44.8785308Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_ordering_shape_fail_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0022s] [ 60%] 2025-12-04T16:31:44.8786023Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_same_frame_fail_message_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1537s] [ 60%] 2025-12-04T16:31:44.8786715Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_with_tuple_mutation_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1134s] [ 60%] 2025-12-04T16:31:44.8787346Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hasattr_builtin_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0915s] [ 60%] 2025-12-04T16:31:44.8788008Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_bigbird_unsqueeze_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9803s] [ 60%] 2025-12-04T16:31:44.8788652Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_classinstantier_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2356s] [ 60%] 2025-12-04T16:31:44.8789262Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_gelu_inline_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2454s] [ 60%] 2025-12-04T16:31:44.8789891Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_model_output_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3076s] [ 60%] 2025-12-04T16:31:44.8790533Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_t5_forward_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.1764s] [ 60%] 2025-12-04T16:31:44.8791198Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_xsoftmax_inference_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2208s] [ 60%] 2025-12-04T16:31:44.8791842Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_xsoftmax_training_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3080s] [ 61%] 2025-12-04T16:31:44.8792479Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_iadd_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0668s] [ 61%] 2025-12-04T16:31:44.8793138Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_incompatible_configs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0068s] [ 61%] 2025-12-04T16:31:44.8793809Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_indexing_with_list_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0667s] [ 61%] 2025-12-04T16:31:44.8794575Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_dynamic_shapes_broadcasting_dynamic_shapes <- test/dynamo/test_repros.py PASSED [225.7299s] [ 61%] 2025-12-04T16:31:44.8795593Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_no_recursionerror_on_for_loops_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 61%] 2025-12-04T16:31:44.8796287Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_rng_default_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0617s] [ 61%] 2025-12-04T16:31:44.8796983Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inference_mode_dynamic_shapes_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6607s] [ 61%] 2025-12-04T16:31:44.8797637Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inlining_cornercase_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1000s] [ 61%] 2025-12-04T16:31:44.8798347Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inplace_unsqueeze_input_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1872s] [ 61%] 2025-12-04T16:31:44.8799220Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_int_format_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Fails with incorrect result with fullgraph constraints) [ 61%] 2025-12-04T16:31:44.8799943Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_intermediate_leaf_requires_grad_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2166s] [ 61%] 2025-12-04T16:31:44.8800581Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_invalid_seq_unpack_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0414s] [ 61%] 2025-12-04T16:31:44.8801286Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_is_make_fx_tracing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0714s] [ 61%] 2025-12-04T16:31:44.8801933Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_is_symbolic_tracing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0719s] [ 61%] 2025-12-04T16:31:44.8802567Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_isinstance_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0569s] [ 61%] 2025-12-04T16:31:44.8803228Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_isinstance_storage_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0939s] [ 61%] 2025-12-04T16:31:44.8803839Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue111522_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0823s] [ 61%] 2025-12-04T16:31:44.8804642Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue111918_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1249s] [ 61%] 2025-12-04T16:31:44.8805253Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue114171_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3079s] [ 61%] 2025-12-04T16:31:44.8805928Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue126128_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9576s] [ 62%] 2025-12-04T16:31:44.8806546Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue134451_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1787s] [ 62%] 2025-12-04T16:31:44.8807226Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue1466_size_aot_autograd_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8069s] [ 62%] 2025-12-04T16:31:44.8807911Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue164247_backend_eager_dynamic_shapes <- test/dynamo/test_repros.py PASSED [5.8246s] [ 62%] 2025-12-04T16:31:44.8808886Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue164247_backend_inductor_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0017s] (Skip only in dynamic-shapes wrapper (known issue #157612)) [ 62%] 2025-12-04T16:31:44.8809546Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue175_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4996s] [ 62%] 2025-12-04T16:31:44.8810198Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_jit_script_defaults_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0942s] [ 62%] 2025-12-04T16:31:44.8810828Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_jit_trace_errors_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0025s] [ 62%] 2025-12-04T16:31:44.8811593Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_kwargs_out_list_variable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1444s] [ 62%] 2025-12-04T16:31:44.8812212Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_aliasing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0790s] [ 62%] 2025-12-04T16:31:44.8812826Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.5268s] [ 62%] 2025-12-04T16:31:44.8813520Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_not_found_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0204s] [ 62%] 2025-12-04T16:31:44.8814214Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_tensor_unsupported_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1579s] [ 62%] 2025-12-04T16:31:44.8814841Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_reverse_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5514s] [ 62%] 2025-12-04T16:31:44.8815480Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_self_reference_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0141s] [ 62%] 2025-12-04T16:31:44.8816085Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_listcomp_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1681s] [ 62%] 2025-12-04T16:31:44.8817041Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_longformer_chunk_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 62%] 2025-12-04T16:31:44.8817688Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_longtensor_list_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5085s] [ 62%] 2025-12-04T16:31:44.8818315Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_lru_cache_tracing_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.1027s] [ 62%] 2025-12-04T16:31:44.8818940Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maml_item_capture_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0016s] [ 62%] 2025-12-04T16:31:44.8819598Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maml_no_item_capture_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.3314s] [ 63%] 2025-12-04T16:31:44.8820660Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_many_overlapping_inputs_does_not_explode_guards_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 63%] 2025-12-04T16:31:44.8821376Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_many_views_with_mutation_dynamic_shapes <- test/dynamo/test_repros.py PASSED [13.3127s] [ 63%] 2025-12-04T16:31:44.8822029Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_map_with_multiple_args_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2586s] [ 63%] 2025-12-04T16:31:44.8822694Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maybe_multiply_symint_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2426s] [ 63%] 2025-12-04T16:31:44.8823310Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_mem_leak_guards_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4981s] [ 63%] 2025-12-04T16:31:44.8824007Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_merge_criteria_processor_list1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2302s] [ 63%] 2025-12-04T16:31:44.8824751Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_merge_criteria_processor_list2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2226s] [ 63%] 2025-12-04T16:31:44.8825390Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_method_overriding_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0834s] [ 63%] 2025-12-04T16:31:44.8826043Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_module_in_skipfiles_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1544s] [ 63%] 2025-12-04T16:31:44.8826632Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_modules_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1845s] [ 63%] 2025-12-04T16:31:44.8827259Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_multi_dot_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1402s] [ 63%] 2025-12-04T16:31:44.8828004Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_multi_import_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0018s] (requires detectron2) [ 63%] 2025-12-04T16:31:44.8828651Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_named_buffers_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1505s] [ 63%] 2025-12-04T16:31:44.8829268Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nanmean_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0968s] [ 63%] 2025-12-04T16:31:44.8829935Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_negative_floor_div_solve_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1444s] [ 63%] 2025-12-04T16:31:44.8830597Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_negative_shape_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3625s] [ 63%] 2025-12-04T16:31:44.8831285Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nested_while_loop_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1683s] [ 63%] 2025-12-04T16:31:44.8831950Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_callable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0344s] [ 63%] 2025-12-04T16:31:44.8832644Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_property_closure_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1124s] [ 63%] 2025-12-04T16:31:44.8833265Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_stack_bc_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1466s] [ 64%] 2025-12-04T16:31:44.8833938Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_param_freevar_codegen_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0172s] [ 64%] 2025-12-04T16:31:44.8834628Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parameter_ctor_graph_breaks_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0955s] [ 64%] 2025-12-04T16:31:44.8835238Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parameter_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1184s] [ 64%] 2025-12-04T16:31:44.8835905Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parametrize_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2005s] [ 64%] 2025-12-04T16:31:44.8836518Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_grad_inline_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0809s] [ 64%] 2025-12-04T16:31:44.8837253Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_tracing_into_eval_frame_ctx_manager_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0669s] [ 64%] 2025-12-04T16:31:44.8837920Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_tracing_into_eval_frame_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0661s] [ 64%] 2025-12-04T16:31:44.8838585Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nonconst_issubclass_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0910s] [ 64%] 2025-12-04T16:31:44.8839301Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_not_rewrite_assert_for_other_errors_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0767s] [ 64%] 2025-12-04T16:31:44.8839954Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nullcontext1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0799s] [ 64%] 2025-12-04T16:31:44.8840583Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nullcontext2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0784s] [ 64%] 2025-12-04T16:31:44.8841272Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_numpy_not_ndarray_recompiles_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2338s] [ 64%] 2025-12-04T16:31:44.8841937Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_numpy_tobytes_no_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2205s] [ 64%] 2025-12-04T16:31:44.8842599Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_odict_get_item_index_name_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0437s] [ 64%] 2025-12-04T16:31:44.8843405Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_dictconfig_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (missing omegaconf package) [ 64%] 2025-12-04T16:31:44.8844304Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_listconfig_contains_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (missing omegaconf package) [ 64%] 2025-12-04T16:31:44.8844981Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_listconfig_iter_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0994s] [ 64%] 2025-12-04T16:31:44.8846125Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ones_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:54:42.950598402 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8846132Z 2025-12-04T16:31:44.8846683Z [W1204 15:54:42.950860967 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8846692Z 2025-12-04T16:31:44.8846815Z PASSED [0.4175s] [ 64%] 2025-12-04T16:31:44.8847519Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optim_state_references_cleared_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3761s] [ 64%] 2025-12-04T16:31:44.8848167Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_deepcopy_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0955s] [ 65%] 2025-12-04T16:31:44.8848882Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_module_patched_init_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1619s] [ 65%] 2025-12-04T16:31:44.8849562Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_module_training_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0027s] [ 65%] 2025-12-04T16:31:44.8850169Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_os_fspath_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0586s] [ 65%] 2025-12-04T16:31:44.8850884Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_nested_cell_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1265s] [ 65%] 2025-12-04T16:31:44.8851694Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_nested_cell_tuple_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1513s] [ 65%] 2025-12-04T16:31:44.8852280Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_none_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0387s] [ 65%] 2025-12-04T16:31:44.8852961Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_overload_non_contiguous_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3768s] [ 65%] 2025-12-04T16:31:44.8853636Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_root_cell_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1262s] [ 65%] 2025-12-04T16:31:44.8854333Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_root_cell_tuple_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1637s] [ 65%] 2025-12-04T16:31:44.8855077Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_output_aliases_intermediate_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4064s] [ 65%] 2025-12-04T16:31:44.8855850Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_overlapping_inputs_with_dynamic_shapes_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0021s] [ 65%] 2025-12-04T16:31:44.8856495Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_overwriting_params_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1629s] [ 65%] 2025-12-04T16:31:44.8857254Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partially_initialized_module_property_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0690s] [ 65%] 2025-12-04T16:31:44.8858105Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partitioner_activation_memory_budget_with_unbacked_symints_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8223s] [ 65%] 2025-12-04T16:31:44.8858940Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partitioner_cse_respects_mutation_boundaries_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0016s] [ 65%] 2025-12-04T16:31:44.8859607Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_pointless_graph_removal_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0796s] [ 65%] 2025-12-04T16:31:44.8860300Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_preserve_stride_with_clone_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3967s] [ 65%] 2025-12-04T16:31:44.8860910Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_primtorch_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0923s] [ 65%] 2025-12-04T16:31:44.8861574Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_primtorch_no_graph_break_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0335s] [ 66%] 2025-12-04T16:31:44.8862269Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_randint_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3170s] [ 66%] 2025-12-04T16:31:44.8862894Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_recursive_map_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1378s] [ 66%] 2025-12-04T16:31:44.8863521Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_eval_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7726s] [ 66%] 2025-12-04T16:31:44.8864175Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_min_chunk_len_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0670s] [ 66%] 2025-12-04T16:31:44.8864808Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_sorting_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4581s] [ 66%] 2025-12-04T16:31:44.8865443Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_train_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7346s] [ 66%] 2025-12-04T16:31:44.8866090Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reinplacing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0311s] [ 66%] 2025-12-04T16:31:44.8866731Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_relative_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1147s] [ 66%] 2025-12-04T16:31:44.8867431Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_relative_import_no_modulename_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1106s] [ 66%] 2025-12-04T16:31:44.8868164Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_requires_grad_guards_with_grad_mode1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3539s] [ 66%] 2025-12-04T16:31:44.8868882Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_requires_grad_guards_with_grad_mode2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5011s] [ 66%] 2025-12-04T16:31:44.8869567Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1082s] [ 66%] 2025-12-04T16:31:44.8870292Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0978s] [ 66%] 2025-12-04T16:31:44.8870971Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1060s] [ 66%] 2025-12-04T16:31:44.8871705Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_mixed_grad_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1876s] [ 66%] 2025-12-04T16:31:44.8872410Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_scalar_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2459s] [ 66%] 2025-12-04T16:31:44.8873128Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_tensor_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2490s] [ 66%] 2025-12-04T16:31:44.8873756Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_weakref_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1097s] [ 66%] 2025-12-04T16:31:44.8874503Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_dont_change_bytecode_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1368s] [ 66%] 2025-12-04T16:31:44.8875157Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_noop_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2557s] [ 67%] 2025-12-04T16:31:44.8875815Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_with_msg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1900s] [ 67%] 2025-12-04T16:31:44.8876537Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_with_non_string_msg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1528s] [ 67%] 2025-12-04T16:31:44.8877746Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_without_msg_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:54:52.559013533 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8877756Z 2025-12-04T16:31:44.8877862Z PASSED [0.1112s] [ 67%] 2025-12-04T16:31:44.8878471Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rng_state_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1769s] [ 67%] 2025-12-04T16:31:44.8879092Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_seq_append_list_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2972s] [ 67%] 2025-12-04T16:31:44.8879837Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setattr_requires_grad_graph_breaks_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7131s] [ 67%] 2025-12-04T16:31:44.8880508Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_boolean_mask_diff_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4443s] [ 67%] 2025-12-04T16:31:44.8881203Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_tensor_prop_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2447s] [ 67%] 2025-12-04T16:31:44.8881907Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_tuple_boolean_mask_diff_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.1352s] [ 67%] 2025-12-04T16:31:44.8882519Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1205s] [ 67%] 2025-12-04T16:31:44.8883138Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2581s] [ 67%] 2025-12-04T16:31:44.8883760Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_size_typematch_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0635s] [ 67%] 2025-12-04T16:31:44.8884432Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slice_into_list_mutable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0791s] [ 67%] 2025-12-04T16:31:44.8885119Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slicing_dynamic_shape_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1080s] [ 67%] 2025-12-04T16:31:44.8885818Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slicing_dynamic_shape_setitem_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3057s] [ 67%] 2025-12-04T16:31:44.8886426Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1153s] [ 67%] 2025-12-04T16:31:44.8887011Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2229s] [ 67%] 2025-12-04T16:31:44.8887668Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_specialized_stride_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0276s] [ 67%] 2025-12-04T16:31:44.8888352Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_split_with_sizes_aot_autograd_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5863s] [ 67%] 2025-12-04T16:31:44.8889090Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_staticmethod_allow_in_graph_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0719s] [ 68%] 2025-12-04T16:31:44.8889737Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_stk_sdd_is_transposed_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2338s] [ 68%] 2025-12-04T16:31:44.8890424Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_stop_iteration_reconstruct_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0321s] [ 68%] 2025-12-04T16:31:44.8891137Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_str_isalnum_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0523s] [ 68%] 2025-12-04T16:31:44.8891756Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_string_format_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0534s] [ 68%] 2025-12-04T16:31:44.8892492Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_subclass_graph_output_repro_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2405s] [ 68%] 2025-12-04T16:31:44.8893139Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_classmethod_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0615s] [ 68%] 2025-12-04T16:31:44.8893841Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_classmethod_inheritance_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0585s] [ 68%] 2025-12-04T16:31:44.8894475Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_diamond_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0571s] [ 68%] 2025-12-04T16:31:44.8895132Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_in_staticmethod_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0253s] [ 68%] 2025-12-04T16:31:44.8895790Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_staticmethod_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0564s] [ 68%] 2025-12-04T16:31:44.8896474Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_swin_base_tensor_attr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1495s] [ 68%] 2025-12-04T16:31:44.8897108Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symint_bitwise_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0787s] [ 68%] 2025-12-04T16:31:44.8897739Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symnode_is_not_op_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0699s] [ 68%] 2025-12-04T16:31:44.8898348Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symnode_is_op_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0704s] [ 68%] 2025-12-04T16:31:44.8899105Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sys_monitoring_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0004s] (Requires Python 3.12+) [ 68%] 2025-12-04T16:31:44.8899737Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_data_kwarg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0278s] [ 68%] 2025-12-04T16:31:44.8900460Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_isinstance_tuple_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0295s] [ 68%] 2025-12-04T16:31:44.8901062Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_item_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0910s] [ 68%] 2025-12-04T16:31:44.8901679Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_random_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2582s] [ 68%] 2025-12-04T16:31:44.8902469Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0015s] [ 69%] 2025-12-04T16:31:44.8903246Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1385s] [ 69%] 2025-12-04T16:31:44.8904040Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1407s] [ 69%] 2025-12-04T16:31:44.8904979Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0598s] [ 69%] 2025-12-04T16:31:44.8905750Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0609s] [ 69%] 2025-12-04T16:31:44.8906506Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0631s] [ 69%] 2025-12-04T16:31:44.8907281Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0015s] [ 69%] 2025-12-04T16:31:44.8908639Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func2_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:55:00.827340891 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8908648Z 2025-12-04T16:31:44.8909173Z [W1204 15:55:00.827586508 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8909178Z 2025-12-04T16:31:44.8909299Z PASSED [0.1648s] [ 69%] 2025-12-04T16:31:44.8910588Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func3_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:55:00.997973302 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8910594Z 2025-12-04T16:31:44.8911127Z [W1204 15:55:00.998222952 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8911179Z 2025-12-04T16:31:44.8911696Z [W1204 15:55:00.998562763 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8911702Z 2025-12-04T16:31:44.8912226Z [W1204 15:55:00.998883555 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8912232Z 2025-12-04T16:31:44.8912745Z [W1204 15:55:00.999057624 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8912750Z 2025-12-04T16:31:44.8912856Z PASSED [0.1721s] [ 69%] 2025-12-04T16:31:44.8913573Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_mismatched_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0919s] [ 69%] 2025-12-04T16:31:44.8914245Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_split_dynamic_shapes <- test/dynamo/test_repros.py PASSED [95.5036s] [ 69%] 2025-12-04T16:31:44.8914953Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_split_within_device_cm_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6590s] [ 69%] 2025-12-04T16:31:44.8915574Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_uniform_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9374s] [ 69%] 2025-12-04T16:31:44.8916223Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_threading_local_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0590s] [ 69%] 2025-12-04T16:31:44.8916843Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tokenization_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0811s] [ 69%] 2025-12-04T16:31:44.8917535Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_compile_in_compile_frame_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1377s] [ 69%] 2025-12-04T16:31:44.8918211Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_ops_aten_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0700s] [ 69%] 2025-12-04T16:31:44.8918837Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_tensor_ops_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0727s] [ 69%] 2025-12-04T16:31:44.8919541Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_tensor_ops_no_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0718s] [ 69%] 2025-12-04T16:31:44.8920180Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_variable_type_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0210s] [ 70%] 2025-12-04T16:31:44.8920779Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torchname_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0401s] [ 70%] 2025-12-04T16:31:44.8922017Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_trace_functional_tensor_with_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:56:38.446781129 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8922027Z 2025-12-04T16:31:44.8922130Z PASSED [0.6429s] [ 70%] 2025-12-04T16:31:44.8922795Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tuple_enum_as_key_dict_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6007s] [ 70%] 2025-12-04T16:31:44.8923393Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_typed_dict_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1042s] [ 70%] 2025-12-04T16:31:44.8924035Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_typed_dict_total_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0983s] [ 70%] 2025-12-04T16:31:44.8924720Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_udf_classes_reconstruction_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1524s] [ 70%] 2025-12-04T16:31:44.8925397Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unbacked_arange_in_bounds_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3499s] [ 70%] 2025-12-04T16:31:44.8926127Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unbind_copy_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1610s] [ 70%] 2025-12-04T16:31:44.8926809Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unpack_hooks_can_be_disabled_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2195s] [ 70%] 2025-12-04T16:31:44.8927539Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unpack_hooks_dont_run_during_tracing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2199s] [ 70%] 2025-12-04T16:31:44.8928354Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unspecialized_nn_module_with_torch_variable_attribute_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2745s] [ 70%] 2025-12-04T16:31:44.8929017Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unsqueeze_mul_strides_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1516s] [ 70%] 2025-12-04T16:31:44.8929765Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_custom_init_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0973s] [ 70%] 2025-12-04T16:31:44.8930526Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_custom_init_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1198s] [ 70%] 2025-12-04T16:31:44.8931291Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0906s] [ 70%] 2025-12-04T16:31:44.8931929Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_defined_iter_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0565s] [ 70%] 2025-12-04T16:31:44.8932631Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_defined_object_callable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0505s] [ 70%] 2025-12-04T16:31:44.8933296Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_validate_model_kwargs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1648s] [ 70%] 2025-12-04T16:31:44.8934014Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_vc_bumped_in_inference_graph_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2003s] [ 70%] 2025-12-04T16:31:44.8934668Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_vdd_duplicate_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1327s] [ 71%] 2025-12-04T16:31:44.8935306Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_view_dtype_overload_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2934s] [ 71%] 2025-12-04T16:31:44.8935952Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_callback_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3025s] [ 71%] 2025-12-04T16:31:44.8936631Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_construction_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0880s] [ 71%] 2025-12-04T16:31:44.8937244Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_del_dynamic_shapes <- test/dynamo/test_repros.py PASSED [4.5592s] [ 71%] 2025-12-04T16:31:44.8937843Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0785s] [ 71%] 2025-12-04T16:31:44.8938455Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_proxy_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0603s] [ 71%] 2025-12-04T16:31:44.8939117Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_reconstruct_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1818s] [ 71%] 2025-12-04T16:31:44.8939766Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_while_loop_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0906s] [ 71%] 2025-12-04T16:31:44.8940534Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_while_loop_graph_break_inside_call_function_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1362s] [ 71%] 2025-12-04T16:31:44.8941227Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_with_on_graph_break_inst_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4108s] [ 71%] 2025-12-04T16:31:44.8941895Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_with_on_graph_break_nested_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4379s] [ 71%] 2025-12-04T16:31:44.8943047Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_zeros_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py [W1204 15:56:48.582061285 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8943053Z 2025-12-04T16:31:44.8943576Z [W1204 15:56:48.582327769 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8943581Z 2025-12-04T16:31:44.8943701Z PASSED [0.4442s] [ 71%] 2025-12-04T16:31:44.8944374Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_access_by_keys_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.3033s] [ 71%] 2025-12-04T16:31:44.8945031Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_basicmodule1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1314s] [ 71%] 2025-12-04T16:31:44.8945670Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_basicmodule2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1139s] [ 71%] 2025-12-04T16:31:44.8946389Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_call_fn_with_non_const_inputs_safe_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.6007s] [ 71%] 2025-12-04T16:31:44.8947009Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_cfgmod_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1470s] [ 71%] 2025-12-04T16:31:44.8947627Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_children_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1455s] [ 71%] 2025-12-04T16:31:44.8948300Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_constloop_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1163s] [ 71%] 2025-12-04T16:31:44.8948997Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_call_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.4050s] [ 72%] 2025-12-04T16:31:44.8949723Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_call_super_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1847s] [ 72%] 2025-12-04T16:31:44.8950482Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_transpose_call_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1679s] [ 72%] 2025-12-04T16:31:44.8951257Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_transpose_call_super_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2061s] [ 72%] 2025-12-04T16:31:44.8951923Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_densenet_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2911s] [ 72%] 2025-12-04T16:31:44.8952554Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_enumvalues_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2877s] [ 72%] 2025-12-04T16:31:44.8953184Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmember_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1119s] [ 72%] 2025-12-04T16:31:44.8953827Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmembercmp1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1014s] [ 72%] 2025-12-04T16:31:44.8954465Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmembercmp2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1022s] [ 72%] 2025-12-04T16:31:44.8955135Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1525s] [ 72%] 2025-12-04T16:31:44.8955811Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_generation_tag_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0044s] [ 72%] 2025-12-04T16:31:44.8956433Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_hasattr_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1906s] [ 72%] 2025-12-04T16:31:44.8957126Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_inject_module_parameters_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2160s] [ 72%] 2025-12-04T16:31:44.8957733Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_intarg_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1136s] [ 72%] 2025-12-04T16:31:44.8958353Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_iseval1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1053s] [ 72%] 2025-12-04T16:31:44.8958967Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_iseval2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1012s] [ 72%] 2025-12-04T16:31:44.8959648Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_isnonelayer_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0999s] [ 72%] 2025-12-04T16:31:44.8960283Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_istraining1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1016s] [ 72%] 2025-12-04T16:31:44.8960917Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_istraining2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1026s] [ 72%] 2025-12-04T16:31:44.8961554Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_layerlist_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1341s] [ 72%] 2025-12-04T16:31:44.8962695Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module1_dynamic_shapes <- test/dynamo/test_modules.py [W1204 15:56:54.798501472 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8962737Z 2025-12-04T16:31:44.8962851Z XFAIL [0.3180s] [ 73%] 2025-12-04T16:31:44.8963987Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module2_dynamic_shapes <- test/dynamo/test_modules.py [W1204 15:56:54.005775871 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8963993Z 2025-12-04T16:31:44.8964106Z XFAIL [0.0429s] [ 73%] 2025-12-04T16:31:44.8965245Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module4_dynamic_shapes <- test/dynamo/test_modules.py [W1204 15:56:54.044212649 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8965250Z 2025-12-04T16:31:44.8965362Z XFAIL [0.0349s] [ 73%] 2025-12-04T16:31:44.8966525Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module5_dynamic_shapes <- test/dynamo/test_modules.py [W1204 15:56:54.086105741 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8966535Z 2025-12-04T16:31:44.8966634Z XFAIL [0.0410s] [ 73%] 2025-12-04T16:31:44.8967779Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module6_dynamic_shapes <- test/dynamo/test_modules.py [W1204 15:56:54.127286331 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8967784Z 2025-12-04T16:31:44.8967881Z XFAIL [0.0392s] [ 73%] 2025-12-04T16:31:44.8969025Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module7_dynamic_shapes <- test/dynamo/test_modules.py [W1204 15:56:54.189833199 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8969030Z 2025-12-04T16:31:44.8969127Z XFAIL [0.0789s] [ 73%] 2025-12-04T16:31:44.8969886Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_bad_params_call_function_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1152s] [ 73%] 2025-12-04T16:31:44.8970606Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_bad_params_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0021s] [ 73%] 2025-12-04T16:31:44.8971381Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_kwargs_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1859s] [ 73%] 2025-12-04T16:31:44.8972092Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_no_cls_to_become_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1481s] [ 73%] 2025-12-04T16:31:44.8973360Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_speculation_log_divergence_dynamic_shapes <- test/dynamo/test_modules.py [W1204 15:56:54.712262858 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.8973368Z 2025-12-04T16:31:44.8973486Z XFAIL [0.0479s] [ 73%] 2025-12-04T16:31:44.8974249Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_attribute_precedence_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1686s] [ 73%] 2025-12-04T16:31:44.8975004Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_call_module_with_static_forward_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1161s] [ 73%] 2025-12-04T16:31:44.8975687Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_class_method_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1833s] [ 73%] 2025-12-04T16:31:44.8976351Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_comparison_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1585s] [ 73%] 2025-12-04T16:31:44.8977082Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_forward_has_graph_break_dynamic_shapes <- test/dynamo/test_modules.py PASSED [1.2331s] [ 73%] 2025-12-04T16:31:44.8977780Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_guard_name_is_valid_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1755s] [ 73%] 2025-12-04T16:31:44.8978485Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_name_string_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1078s] [ 73%] 2025-12-04T16:31:44.8979137Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_property_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1107s] [ 73%] 2025-12-04T16:31:44.8979807Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_static_method_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1889s] [ 74%] 2025-12-04T16:31:44.8980481Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_moduledict_custom_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1068s] [ 74%] 2025-12-04T16:31:44.8981148Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_moduledict_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1003s] [ 74%] 2025-12-04T16:31:44.8981828Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_custom_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1486s] [ 74%] 2025-12-04T16:31:44.8982456Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2879s] [ 74%] 2025-12-04T16:31:44.8983119Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_nested_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1849s] [ 74%] 2025-12-04T16:31:44.8983782Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulemethod1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1676s] [ 74%] 2025-12-04T16:31:44.8984431Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulemethod2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1700s] [ 74%] 2025-12-04T16:31:44.8985092Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_named_children_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1383s] [ 74%] 2025-12-04T16:31:44.8985780Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_module_setattr_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0945s] [ 74%] 2025-12-04T16:31:44.8986487Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_module_unspec_int_attr_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.3102s] [ 74%] 2025-12-04T16:31:44.8987169Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_moduledict_contains_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1028s] [ 74%] 2025-12-04T16:31:44.8987850Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameterdict_custom_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0901s] [ 74%] 2025-12-04T16:31:44.8988511Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameterdict_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0847s] [ 74%] 2025-12-04T16:31:44.8989180Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1075s] [ 74%] 2025-12-04T16:31:44.8989836Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1063s] [ 74%] 2025-12-04T16:31:44.8990466Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters3_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1254s] [ 74%] 2025-12-04T16:31:44.8991099Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters4_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1209s] [ 74%] 2025-12-04T16:31:44.8991744Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters5_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1269s] [ 74%] 2025-12-04T16:31:44.8992387Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_self_mutating1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1450s] [ 74%] 2025-12-04T16:31:44.8993020Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_seq_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1434s] [ 75%] 2025-12-04T16:31:44.8993770Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_sequential_with_duplicated_module2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1969s] [ 75%] 2025-12-04T16:31:44.8994523Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_sequential_with_duplicated_module_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1845s] [ 75%] 2025-12-04T16:31:44.8995201Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_simple_torch_function_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0642s] [ 75%] 2025-12-04T16:31:44.8995841Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_stringmember_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1099s] [ 75%] 2025-12-04T16:31:44.8996526Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_submodules1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1767s] [ 75%] 2025-12-04T16:31:44.8997170Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_submodules2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1768s] [ 75%] 2025-12-04T16:31:44.8997787Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1271s] [ 75%] 2025-12-04T16:31:44.8998391Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1235s] [ 75%] 2025-12-04T16:31:44.8999053Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super_class_method_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0991s] [ 75%] 2025-12-04T16:31:44.8999694Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_tensorlist_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2339s] [ 75%] 2025-12-04T16:31:44.9000405Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_torch_function_with_closure_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0543s] [ 75%] 2025-12-04T16:31:44.9001138Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_torch_mangled_class_name_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1492s] [ 75%] 2025-12-04T16:31:44.9001814Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_unsupportedmethod_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.4620s] [ 75%] 2025-12-04T16:31:44.9002502Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_unsupportedmodule_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.4792s] [ 75%] 2025-12-04T16:31:44.9003152Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_viamodulecall_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1210s] [ 75%] 2025-12-04T16:31:44.9003896Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_access_class_method_from_user_class_attr_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0944s] [ 75%] 2025-12-04T16:31:44.9004909Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_access_class_method_from_user_class_builtin_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0877s] [ 75%] 2025-12-04T16:31:44.9005597Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_byte_tensor_does_not_crash_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1740s] [ 75%] 2025-12-04T16:31:44.9006410Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_capture_symbolic_tracing_simple_within_fake_mode_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1398s] [ 75%] 2025-12-04T16:31:44.9007172Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_capture_symbolic_tracing_within_fake_mode_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.2803s] [ 76%] 2025-12-04T16:31:44.9007885Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_free_variables_overlapping_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2178s] [ 76%] 2025-12-04T16:31:44.9008588Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_op_param_buffer_lifted_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2563s] [ 76%] 2025-12-04T16:31:44.9009395Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_args_mismatch_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0710s] [ 76%] 2025-12-04T16:31:44.9010228Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_return_multiple_tensors_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3873s] [ 76%] 2025-12-04T16:31:44.9011007Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_return_non_tensor_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0392s] [ 76%] 2025-12-04T16:31:44.9011887Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_mismatch_return_length_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0762s] [ 76%] 2025-12-04T16:31:44.9012737Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_mismatch_return_tensor_meta_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0467s] [ 76%] 2025-12-04T16:31:44.9013466Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_missing_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0018s] [ 76%] 2025-12-04T16:31:44.9014230Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_non_list_operands_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0021s] [ 76%] 2025-12-04T16:31:44.9014986Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_non_tensor_operands_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0018s] [ 76%] 2025-12-04T16:31:44.9015746Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_unsupported_pred_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0015s] [ 76%] 2025-12-04T16:31:44.9016470Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_supported_pred_types_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.8564s] [ 76%] 2025-12-04T16:31:44.9017227Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_constraint_violation_error_messages_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2912s] [ 76%] 2025-12-04T16:31:44.9017898Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dataclass_input_output_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1488s] [ 76%] 2025-12-04T16:31:44.9018514Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dict_return_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1997s] [ 76%] 2025-12-04T16:31:44.9019216Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dict_return_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2116s] [ 76%] 2025-12-04T16:31:44.9019811Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_2_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1126s] [ 76%] 2025-12-04T16:31:44.9020520Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_2_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1236s] [ 76%] 2025-12-04T16:31:44.9021158Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1354s] [ 76%] 2025-12-04T16:31:44.9021931Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1401s] [ 77%] 2025-12-04T16:31:44.9022766Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1547s] [ 77%] 2025-12-04T16:31:44.9023471Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1493s] [ 77%] 2025-12-04T16:31:44.9024237Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_arg_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1396s] [ 77%] 2025-12-04T16:31:44.9025026Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1548s] [ 77%] 2025-12-04T16:31:44.9025775Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_output_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1654s] [ 77%] 2025-12-04T16:31:44.9026579Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_output_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1616s] [ 77%] 2025-12-04T16:31:44.9027176Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1153s] [ 77%] 2025-12-04T16:31:44.9027884Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1248s] [ 77%] 2025-12-04T16:31:44.9028524Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamic_slicing_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3760s] [ 77%] 2025-12-04T16:31:44.9029216Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamic_slicing_simple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1105s] [ 77%] 2025-12-04T16:31:44.9029873Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamo_enum_in_tuple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0847s] [ 77%] 2025-12-04T16:31:44.9030524Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamo_list_index_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0780s] [ 77%] 2025-12-04T16:31:44.9031109Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_empty_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0923s] [ 77%] 2025-12-04T16:31:44.9031795Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_enforce_equalities_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.0251s] [ 77%] 2025-12-04T16:31:44.9032537Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_compare_optimize_with_make_fx_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3982s] [ 77%] 2025-12-04T16:31:44.9033228Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_cond_in_aten_symbolic_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3958s] [ 77%] 2025-12-04T16:31:44.9033955Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_control_flow_with_getattr_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0812s] [ 77%] 2025-12-04T16:31:44.9034654Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_decomp_asserts_bad_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0016s] [ 77%] 2025-12-04T16:31:44.9035320Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_decomp_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2403s] [ 77%] 2025-12-04T16:31:44.9035966Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_defaults_ok_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.5376s] [ 78%] 2025-12-04T16:31:44.9036678Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_control_flow_error_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1064s] [ 78%] 2025-12-04T16:31:44.9037373Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_cleanup_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1048s] [ 78%] 2025-12-04T16:31:44.9038043Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_not_1_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0611s] [ 78%] 2025-12-04T16:31:44.9038785Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_range_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2303s] [ 78%] 2025-12-04T16:31:44.9039407Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1589s] [ 78%] 2025-12-04T16:31:44.9040060Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_bypass_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1351s] [ 78%] 2025-12-04T16:31:44.9040791Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_bypass_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1332s] [ 78%] 2025-12-04T16:31:44.9041509Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_complex_reorder_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1865s] [ 78%] 2025-12-04T16:31:44.9042310Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_complex_reorder_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2023s] [ 78%] 2025-12-04T16:31:44.9043011Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_list_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1669s] [ 78%] 2025-12-04T16:31:44.9043765Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_list_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1801s] [ 78%] 2025-12-04T16:31:44.9044398Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_identity_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0347s] [ 78%] 2025-12-04T16:31:44.9045078Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_masking_with_no_grad_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2596s] [ 78%] 2025-12-04T16:31:44.9045703Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_meta_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0902s] [ 78%] 2025-12-04T16:31:44.9046338Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_meta_val_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1816s] [ 78%] 2025-12-04T16:31:44.9047051Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_2_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1218s] [ 78%] 2025-12-04T16:31:44.9047786Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_2_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1301s] [ 78%] 2025-12-04T16:31:44.9048447Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1196s] [ 78%] 2025-12-04T16:31:44.9049201Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1312s] [ 79%] 2025-12-04T16:31:44.9049978Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_module_specify_constraints_signature_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1708s] [ 79%] 2025-12-04T16:31:44.9050752Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_multi_dynamic_dim_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5239s] [ 79%] 2025-12-04T16:31:44.9051627Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_multi_dynamic_dim_unsafe_relationship_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5360s] [ 79%] 2025-12-04T16:31:44.9052374Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_nn_module_stack_patched_module_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0752s] [ 79%] 2025-12-04T16:31:44.9053001Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_no_raise_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1756s] [ 79%] 2025-12-04T16:31:44.9053766Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_no_tensor_computation_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0752s] [ 79%] 2025-12-04T16:31:44.9054440Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_pass_arg_by_name_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1588s] [ 79%] 2025-12-04T16:31:44.9055174Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_pass_arg_by_name_star_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2572s] [ 79%] 2025-12-04T16:31:44.9056358Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_persist_assert_dynamic_shapes <- test/dynamo/test_export.py [W1204 15:57:18.669415426 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9056365Z 2025-12-04T16:31:44.9056469Z PASSED [0.2831s] [ 79%] 2025-12-04T16:31:44.9057274Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_preserve_constraints_as_metadata_tensor_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1099s] [ 79%] 2025-12-04T16:31:44.9058068Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_preserves_nn_module_stack_for_get_attr_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2170s] [ 79%] 2025-12-04T16:31:44.9058799Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_guard_full_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1620s] [ 79%] 2025-12-04T16:31:44.9059553Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_guard_partial_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2014s] [ 79%] 2025-12-04T16:31:44.9060248Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_on_relationship_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3301s] [ 79%] 2025-12-04T16:31:44.9060945Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_shape_control_flow_1_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1832s] [ 79%] 2025-12-04T16:31:44.9061617Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_specialized_int_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1632s] [ 79%] 2025-12-04T16:31:44.9062330Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_symbolic_shape_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0793s] [ 79%] 2025-12-04T16:31:44.9063037Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_and_empty_kwargs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1069s] [ 79%] 2025-12-04T16:31:44.9063752Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_None_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0523s] [ 79%] 2025-12-04T16:31:44.9064493Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_float_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0367s] [ 80%] 2025-12-04T16:31:44.9065212Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_tensor_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0518s] [ 80%] 2025-12-04T16:31:44.9065975Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_tuple_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0521s] [ 80%] 2025-12-04T16:31:44.9066639Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2160s] [ 80%] 2025-12-04T16:31:44.9067390Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_builtin_op_on_assume_constant_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1058s] [ 80%] 2025-12-04T16:31:44.9068161Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_branches_calling_methods_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.4383s] [ 80%] 2025-12-04T16:31:44.9068831Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_closure_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.4118s] [ 80%] 2025-12-04T16:31:44.9069564Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_dynamic_shape_pred_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.7817s] [ 80%] 2025-12-04T16:31:44.9070330Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_with_closed_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1932s] [ 80%] 2025-12-04T16:31:44.9071053Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_dict_values_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0854s] [ 80%] 2025-12-04T16:31:44.9071853Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1407s] [ 80%] 2025-12-04T16:31:44.9072718Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_multiarg_diff_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0950s] [ 80%] 2025-12-04T16:31:44.9073605Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_multiarg_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1701s] [ 80%] 2025-12-04T16:31:44.9074331Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1524s] [ 80%] 2025-12-04T16:31:44.9075079Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_global_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0125s] [ 80%] 2025-12-04T16:31:44.9075864Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_in_unspecialized_nn_module_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0825s] [ 80%] 2025-12-04T16:31:44.9076599Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_list_nonzero_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1126s] [ 80%] 2025-12-04T16:31:44.9077383Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_list_nonzero_free_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1093s] [ 80%] 2025-12-04T16:31:44.9078148Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_method_on_module_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1325s] [ 80%] 2025-12-04T16:31:44.9078954Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_method_on_module_invoke_twice_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1520s] [ 80%] 2025-12-04T16:31:44.9079688Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_none_control_flow_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0280s] [ 81%] 2025-12-04T16:31:44.9080487Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_none_control_flow_free_func_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0275s] [ 81%] 2025-12-04T16:31:44.9081234Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0338s] [ 81%] 2025-12-04T16:31:44.9082086Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_free_func_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0339s] [ 81%] 2025-12-04T16:31:44.9082856Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_pos_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0362s] [ 81%] 2025-12-04T16:31:44.9083585Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_return_const_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0284s] [ 81%] 2025-12-04T16:31:44.9084321Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_tuple_nonzero_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1104s] [ 81%] 2025-12-04T16:31:44.9085032Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_functools_wrapped_fn_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1168s] [ 81%] 2025-12-04T16:31:44.9085828Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_functools_wrapped_method_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1271s] [ 81%] 2025-12-04T16:31:44.9086540Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_and_empty_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0927s] [ 81%] 2025-12-04T16:31:44.9087198Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1566s] [ 81%] 2025-12-04T16:31:44.9087924Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_None_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0785s] [ 81%] 2025-12-04T16:31:44.9088681Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_float_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0670s] [ 81%] 2025-12-04T16:31:44.9089430Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_tensor_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0829s] [ 81%] 2025-12-04T16:31:44.9090156Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_tuple_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0856s] [ 81%] 2025-12-04T16:31:44.9090819Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_cond_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.4456s] [ 81%] 2025-12-04T16:31:44.9091638Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_zero_sized_tensor_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0451s] [ 81%] 2025-12-04T16:31:44.9092425Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_zero_sized_tensor_suppress_errors_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0436s] [ 81%] 2025-12-04T16:31:44.9093152Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_module_layer_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.6523s] [ 81%] 2025-12-04T16:31:44.9093838Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_nonzero_static_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1173s] [ 81%] 2025-12-04T16:31:44.9094627Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_shallow_list_copy_with_side_effects_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1061s] [ 82%] 2025-12-04T16:31:44.9095392Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_shallow_list_copy_wo_side_effects_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0807s] [ 82%] 2025-12-04T16:31:44.9096078Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_stack_trace_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1512s] [ 82%] 2025-12-04T16:31:44.9096795Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_symbool_inputs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.4897s] [ 82%] 2025-12-04T16:31:44.9097460Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_wrapped_fn_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1097s] [ 82%] 2025-12-04T16:31:44.9098180Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_exported_graph_serialization_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1830s] [ 82%] 2025-12-04T16:31:44.9098797Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_func_return_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2181s] [ 82%] 2025-12-04T16:31:44.9099500Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_func_return_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2370s] [ 82%] 2025-12-04T16:31:44.9100101Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_fx_pytree_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3151s] [ 82%] 2025-12-04T16:31:44.9100772Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_immutable_list_dict_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5494s] [ 82%] 2025-12-04T16:31:44.9101461Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_container_type_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2043s] [ 82%] 2025-12-04T16:31:44.9102076Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_global_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0726s] [ 82%] 2025-12-04T16:31:44.9102782Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_global_multiple_access_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0859s] [ 82%] 2025-12-04T16:31:44.9103414Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_nonlocal_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0690s] [ 82%] 2025-12-04T16:31:44.9104130Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_unused_nonlocal_ok_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0477s] [ 82%] 2025-12-04T16:31:44.9104909Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_contains_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2347s] [ 82%] 2025-12-04T16:31:44.9105548Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_not_contains_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1493s] [ 82%] 2025-12-04T16:31:44.9106170Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_unpack_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1778s] [ 82%] 2025-12-04T16:31:44.9106852Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_unpack_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1862s] [ 82%] 2025-12-04T16:31:44.9107553Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_map_cond_param_buffer_lifted_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.6992s] [ 83%] 2025-12-04T16:31:44.9108227Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_mixed_real_and_fake_inputs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.8072s] [ 83%] 2025-12-04T16:31:44.9109033Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_multiple_outputs_op_with_evaluator_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0572s] [ 83%] 2025-12-04T16:31:44.9109744Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_nested_cond_op_param_buffer_lifted_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3465s] [ 83%] 2025-12-04T16:31:44.9110411Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_2_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0873s] [ 83%] 2025-12-04T16:31:44.9111163Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_2_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0941s] [ 83%] 2025-12-04T16:31:44.9111831Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0871s] [ 83%] 2025-12-04T16:31:44.9112569Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_fail_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0288s] [ 83%] 2025-12-04T16:31:44.9113218Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_not_functionalize_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1107s] [ 83%] 2025-12-04T16:31:44.9113965Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_param_buffer_safe_from_mutation_recurse_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0820s] [ 83%] 2025-12-04T16:31:44.9114719Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_param_buffer_safe_from_mutation_simple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0889s] [ 83%] 2025-12-04T16:31:44.9115372Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_pre_dispatch_simple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0479s] [ 83%] 2025-12-04T16:31:44.9116099Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_for_out_dtype_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1681s] [ 83%] 2025-12-04T16:31:44.9116878Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_for_out_dtype_nested_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.8174s] [ 83%] 2025-12-04T16:31:44.9117590Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_higher_order_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2038s] [ 83%] 2025-12-04T16:31:44.9118327Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_higher_order_nested_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3235s] [ 83%] 2025-12-04T16:31:44.9119004Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3400s] [ 83%] 2025-12-04T16:31:44.9119793Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_graph_break_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.4705s] [ 83%] 2025-12-04T16:31:44.9120511Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_inline_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2200s] [ 83%] 2025-12-04T16:31:44.9121256Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_recompile_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3883s] [ 83%] 2025-12-04T16:31:44.9122031Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_remove_redundant_dynamic_dim_in_error_message_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1076s] [ 84%] 2025-12-04T16:31:44.9123066Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_dict_container_inp_out_dynamic_shapes <- test/dynamo/test_export.py SKIPPED [0.0014s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 84%] 2025-12-04T16:31:44.9123977Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_dynamic_shapes <- test/dynamo/test_export.py SKIPPED [0.0013s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 84%] 2025-12-04T16:31:44.9124992Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_nested_list_out_dynamic_shapes <- test/dynamo/test_export.py SKIPPED [0.0012s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 84%] 2025-12-04T16:31:44.9125670Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_round_dynamic_shapes_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2723s] [ 84%] 2025-12-04T16:31:44.9126395Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_strict_fake_tensor_prop_real_tensors_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1015s] [ 84%] 2025-12-04T16:31:44.9127068Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_subclass_parameters_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1793s] [ 84%] 2025-12-04T16:31:44.9127706Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_sum_param_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0936s] [ 84%] 2025-12-04T16:31:44.9128339Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_sym_contains_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1319s] [ 84%] 2025-12-04T16:31:44.9129145Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5480s] [ 84%] 2025-12-04T16:31:44.9130025Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_with_parameters_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.8574s] [ 84%] 2025-12-04T16:31:44.9130648Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbool_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1205s] [ 84%] 2025-12-04T16:31:44.9131949Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_torch_inference_mode_ctx_dynamic_shapes <- test/dynamo/test_export.py [W1204 15:57:41.033982031 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9131997Z 2025-12-04T16:31:44.9132121Z PASSED [0.2344s] [ 84%] 2025-12-04T16:31:44.9132775Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_trivial_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5688s] [ 84%] 2025-12-04T16:31:44.9133576Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_uncaptured_higher_order_op_error_not_suppresed_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0643s] [ 84%] 2025-12-04T16:31:44.9134294Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_untracked_inputs_in_constraints_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1427s] [ 84%] 2025-12-04T16:31:44.9135067Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_and_out_different_shape_on_test_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2033s] [ 84%] 2025-12-04T16:31:44.9135907Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_and_out_different_shape_on_test_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2205s] [ 84%] 2025-12-04T16:31:44.9136601Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2109s] [ 84%] 2025-12-04T16:31:44.9137421Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2311s] [ 84%] 2025-12-04T16:31:44.9138152Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_permute_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2241s] [ 85%] 2025-12-04T16:31:44.9138788Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1305s] [ 85%] 2025-12-04T16:31:44.9139470Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2404s] [ 85%] 2025-12-04T16:31:44.9140104Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1306s] [ 85%] 2025-12-04T16:31:44.9140770Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1444s] [ 85%] 2025-12-04T16:31:44.9141421Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0789s] [ 85%] 2025-12-04T16:31:44.9142087Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3039s] [ 85%] 2025-12-04T16:31:44.9142745Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow4_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1867s] [ 85%] 2025-12-04T16:31:44.9143441Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow5_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.4184s] [ 85%] 2025-12-04T16:31:44.9144120Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_duck_size_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1662s] [ 85%] 2025-12-04T16:31:44.9144780Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_getitem_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0788s] [ 85%] 2025-12-04T16:31:44.9145447Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_kwarg_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0946s] [ 85%] 2025-12-04T16:31:44.9146158Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_order_dependence_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2754s] [ 85%] 2025-12-04T16:31:44.9146863Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_zero_inference_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1175s] [ 85%] 2025-12-04T16:31:44.9147617Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_enumerate_not_break_graph_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0989s] [ 85%] 2025-12-04T16:31:44.9148266Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_extended_args_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [3.2752s] [ 85%] 2025-12-04T16:31:44.9148957Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_graph_break_on_item_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2218s] [ 85%] 2025-12-04T16:31:44.9149658Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2478s] [ 85%] 2025-12-04T16:31:44.9150415Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3768s] [ 85%] 2025-12-04T16:31:44.9151127Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2480s] [ 85%] 2025-12-04T16:31:44.9151776Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_multigraph_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1620s] [ 86%] 2025-12-04T16:31:44.9152469Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_no_graph_break_on_item_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1049s] [ 86%] 2025-12-04T16:31:44.9153133Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_pop_after_resume_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2451s] [ 86%] 2025-12-04T16:31:44.9153802Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_range_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1392s] [ 86%] 2025-12-04T16:31:44.9154482Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_range_iter_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1692s] [ 86%] 2025-12-04T16:31:44.9155165Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_state_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2250s] [ 86%] 2025-12-04T16:31:44.9155808Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2152s] [ 86%] 2025-12-04T16:31:44.9156430Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3294s] [ 86%] 2025-12-04T16:31:44.9157065Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3305s] [ 86%] 2025-12-04T16:31:44.9157682Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume4_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3313s] [ 86%] 2025-12-04T16:31:44.9158353Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume5_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2214s] [ 86%] 2025-12-04T16:31:44.9159027Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_freevars_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2913s] [ 86%] 2025-12-04T16:31:44.9159694Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_paths_join_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.5707s] [ 86%] 2025-12-04T16:31:44.9160399Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_tuple_iterator_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2976s] [ 86%] 2025-12-04T16:31:44.9161078Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.4186s] [ 86%] 2025-12-04T16:31:44.9161771Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3071s] [ 86%] 2025-12-04T16:31:44.9162478Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2060s] [ 86%] 2025-12-04T16:31:44.9163122Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_stack_state1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2626s] [ 86%] 2025-12-04T16:31:44.9163778Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_stack_state2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3774s] [ 86%] 2025-12-04T16:31:44.9164395Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1627s] [ 87%] 2025-12-04T16:31:44.9165023Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2755s] [ 87%] 2025-12-04T16:31:44.9165743Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1462s] [ 87%] 2025-12-04T16:31:44.9166378Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start4_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2294s] [ 87%] 2025-12-04T16:31:44.9167070Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_tuple_iterator_mutate_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1439s] [ 87%] 2025-12-04T16:31:44.9167761Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_tuple_iterator_return_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3794s] [ 87%] 2025-12-04T16:31:44.9168521Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_access_module_attr_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1332s] [ 87%] 2025-12-04T16:31:44.9169334Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_allow_python_side_effects_utility_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0918s] [ 87%] 2025-12-04T16:31:44.9170121Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_constants_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1867s] [ 87%] 2025-12-04T16:31:44.9170915Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_global_num_adds_guard_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0978s] [ 87%] 2025-12-04T16:31:44.9171765Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_global_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1425s] [ 87%] 2025-12-04T16:31:44.9172503Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_input_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1392s] [ 87%] 2025-12-04T16:31:44.9173252Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_numpy_number_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2339s] [ 87%] 2025-12-04T16:31:44.9174034Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_tracked_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3617s] [ 87%] 2025-12-04T16:31:44.9174804Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_tracked_nested_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3709s] [ 87%] 2025-12-04T16:31:44.9175593Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_global_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2665s] [ 87%] 2025-12-04T16:31:44.9176404Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_global_nested_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0945s] [ 87%] 2025-12-04T16:31:44.9177192Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_nonlocal_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3562s] [ 87%] 2025-12-04T16:31:44.9178020Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_value_created_in_subgraph_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1487s] [ 87%] 2025-12-04T16:31:44.9178847Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_concat_unbacked_shape_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4854s] [ 87%] 2025-12-04T16:31:44.9179639Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_branches_no_arguments_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3391s] [ 88%] 2025-12-04T16:31:44.9180467Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_branches_no_arguments_no_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2886s] [ 88%] 2025-12-04T16:31:44.9181299Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_free_variable_in_both_branches_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3085s] [ 88%] 2025-12-04T16:31:44.9182115Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_graph_break_in_one_branch_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2698s] [ 88%] 2025-12-04T16:31:44.9182872Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_pytree_operands_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.8206s] [ 88%] 2025-12-04T16:31:44.9183746Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_pytree_operands_with_non_tensor_leaves_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0382s] [ 88%] 2025-12-04T16:31:44.9184543Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_side_effect_in_one_branches_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0781s] [ 88%] 2025-12-04T16:31:44.9185301Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4231s] [ 88%] 2025-12-04T16:31:44.9186115Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_subgraph_name_is_valid_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4219s] [ 88%] 2025-12-04T16:31:44.9186895Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_with_constant_pred_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1627s] [ 88%] 2025-12-04T16:31:44.9187663Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_with_empty_operands_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4348s] [ 88%] 2025-12-04T16:31:44.9188477Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_dynamic_shapes_over_vmap_batch_size_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.6690s] [ 88%] 2025-12-04T16:31:44.9189182Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_enum_arg_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2200s] [ 88%] 2025-12-04T16:31:44.9189956Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_error_message_sane_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0286s] [ 88%] 2025-12-04T16:31:44.9190802Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fallback_on_graph_break_complicated_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1461s] [ 88%] 2025-12-04T16:31:44.9191605Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fallback_on_graph_break_simple_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0500s] [ 88%] 2025-12-04T16:31:44.9192347Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_flat_list_output_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2412s] [ 88%] 2025-12-04T16:31:44.9193118Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fn_with_kwargs_in_torch_ops_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2076s] [ 88%] 2025-12-04T16:31:44.9193899Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_freevars_as_inputs_to_wrap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2508s] [ 88%] 2025-12-04T16:31:44.9194687Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_grad_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1275s] [ 88%] 2025-12-04T16:31:44.9195406Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2151s] [ 89%] 2025-12-04T16:31:44.9196214Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_incorrect_type_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1085s] [ 89%] 2025-12-04T16:31:44.9196972Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_no_hints_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0113s] [ 89%] 2025-12-04T16:31:44.9197801Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_pytree_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0024s] [ 89%] 2025-12-04T16:31:44.9198486Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hooks_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1195s] [ 89%] 2025-12-04T16:31:44.9199228Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hopify_generic_wrap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9707s] [ 89%] 2025-12-04T16:31:44.9199978Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_inlined_functions_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3460s] [ 89%] 2025-12-04T16:31:44.9200718Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_internal_nonlocal_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3879s] [ 89%] 2025-12-04T16:31:44.9201479Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensor_constant_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2020s] [ 89%] 2025-12-04T16:31:44.9202384Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensors_with_compound_expressions_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0017s] [ 89%] 2025-12-04T16:31:44.9203204Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensors_with_shared_symbols_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3323s] [ 89%] 2025-12-04T16:31:44.9203914Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_make_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3421s] [ 89%] 2025-12-04T16:31:44.9205020Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_example_value_metadata_consistent_with_eager_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [8.1392s] [ 89%] 2025-12-04T16:31:44.9205767Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2064s] [ 89%] 2025-12-04T16:31:44.9206535Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0126s] [ 89%] 2025-12-04T16:31:44.9207291Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_lowers_to_graph_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4880s] [ 89%] 2025-12-04T16:31:44.9208021Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_multi_return_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4329s] [ 89%] 2025-12-04T16:31:44.9208771Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_pytree_return_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6347s] [ 89%] 2025-12-04T16:31:44.9209495Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_side_effect_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1400s] [ 89%] 2025-12-04T16:31:44.9210283Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4144s] [ 89%] 2025-12-04T16:31:44.9211166Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_subgraph_name_is_valid_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9418s] [ 90%] 2025-12-04T16:31:44.9211900Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_symint_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4668s] [ 90%] 2025-12-04T16:31:44.9212604Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_modules_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1142s] [ 90%] 2025-12-04T16:31:44.9213351Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_nested_tuple_output_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4265s] [ 90%] 2025-12-04T16:31:44.9214122Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_nested_wrap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4788s] [ 90%] 2025-12-04T16:31:44.9214850Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_no_freevars_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2271s] [ 90%] 2025-12-04T16:31:44.9215583Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_output_with_dict_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2267s] [ 90%] 2025-12-04T16:31:44.9216312Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_register_mode_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0031s] [ 90%] 2025-12-04T16:31:44.9217053Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_register_subclass_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0031s] [ 90%] 2025-12-04T16:31:44.9217822Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_var_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2255s] [ 90%] 2025-12-04T16:31:44.9218713Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_var_used_multiple_times_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [5.7487s] [ 90%] 2025-12-04T16:31:44.9219465Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_vars_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2499s] [ 90%] 2025-12-04T16:31:44.9220220Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_same_freevar_twice_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2795s] [ 90%] 2025-12-04T16:31:44.9221082Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_global_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0616s] [ 90%] 2025-12-04T16:31:44.9221968Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_global_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0576s] [ 90%] 2025-12-04T16:31:44.9222837Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1836s] [ 90%] 2025-12-04T16:31:44.9223696Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0592s] [ 90%] 2025-12-04T16:31:44.9224436Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_in_body_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0446s] [ 90%] 2025-12-04T16:31:44.9225294Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_local_list_append_no_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2666s] [ 90%] 2025-12-04T16:31:44.9226109Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_list_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0865s] [ 90%] 2025-12-04T16:31:44.9226958Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_num_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0855s] [ 91%] 2025-12-04T16:31:44.9227762Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0852s] [ 91%] 2025-12-04T16:31:44.9228605Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_tensor_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1414s] [ 91%] 2025-12-04T16:31:44.9229421Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1402s] [ 91%] 2025-12-04T16:31:44.9230292Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_num_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0929s] [ 91%] 2025-12-04T16:31:44.9231095Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0913s] [ 91%] 2025-12-04T16:31:44.9231959Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0970s] [ 91%] 2025-12-04T16:31:44.9232767Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0985s] [ 91%] 2025-12-04T16:31:44.9233679Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_nested_nonlocal_list_append_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1241s] [ 91%] 2025-12-04T16:31:44.9234576Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_nonlocal_list_append_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1140s] [ 91%] 2025-12-04T16:31:44.9235441Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_global_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0586s] [ 91%] 2025-12-04T16:31:44.9236281Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_global_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0906s] [ 91%] 2025-12-04T16:31:44.9237163Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1832s] [ 91%] 2025-12-04T16:31:44.9238045Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0980s] [ 91%] 2025-12-04T16:31:44.9238875Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_global_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0920s] [ 91%] 2025-12-04T16:31:44.9239694Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_global_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0906s] [ 91%] 2025-12-04T16:31:44.9240532Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2225s] [ 91%] 2025-12-04T16:31:44.9241358Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0967s] [ 91%] 2025-12-04T16:31:44.9242124Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_support_float_in_output_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0706s] [ 91%] 2025-12-04T16:31:44.9242892Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_symint_in_slice_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7083s] [ 92%] 2025-12-04T16:31:44.9243605Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_symint_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2603s] [ 92%] 2025-12-04T16:31:44.9244428Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_and_unbacked_symbol_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4249s] [ 92%] 2025-12-04T16:31:44.9245195Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_to_list_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1178s] [ 92%] 2025-12-04T16:31:44.9246048Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_with_unbacked_shape_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3905s] [ 92%] 2025-12-04T16:31:44.9246840Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_unbacked_symbol_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2323s] [ 92%] 2025-12-04T16:31:44.9248100Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_vmap_multiply_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py [W1204 15:58:35.376316805 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9248107Z 2025-12-04T16:31:44.9248640Z [W1204 15:58:35.376573850 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9248646Z 2025-12-04T16:31:44.9249165Z [W1204 15:58:35.668071818 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9249206Z 2025-12-04T16:31:44.9249736Z [W1204 15:58:35.668333135 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9249740Z 2025-12-04T16:31:44.9249844Z PASSED [0.5935s] [ 92%] 2025-12-04T16:31:44.9250599Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_vmap_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3892s] [ 92%] 2025-12-04T16:31:44.9251436Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_all_kwarg_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3565s] [ 92%] 2025-12-04T16:31:44.9252247Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_allow_local_assign_in_body_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1968s] [ 92%] 2025-12-04T16:31:44.9253132Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_inductor_compiled_regions_option_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6390s] [ 92%] 2025-12-04T16:31:44.9254016Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_inductor_compiled_regions_with_backward_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6840s] [ 92%] 2025-12-04T16:31:44.9254760Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3844s] [ 92%] 2025-12-04T16:31:44.9255569Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_else_branch_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2810s] [ 92%] 2025-12-04T16:31:44.9256355Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_if_branch_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3417s] [ 92%] 2025-12-04T16:31:44.9257069Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3075s] [ 92%] 2025-12-04T16:31:44.9263426Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_int_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2228s] [ 92%] 2025-12-04T16:31:44.9264244Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_only_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3328s] [ 92%] 2025-12-04T16:31:44.9265013Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_recompile_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2075s] [ 92%] 2025-12-04T16:31:44.9265798Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_nested_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1770s] [ 92%] 2025-12-04T16:31:44.9266751Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_not_const_symint_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0527s] [ 93%] 2025-12-04T16:31:44.9267608Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_with_symint_constant_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2905s] [ 93%] 2025-12-04T16:31:44.9268354Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3923s] [ 93%] 2025-12-04T16:31:44.9269097Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1571s] [ 93%] 2025-12-04T16:31:44.9269894Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_subgraph_name_is_valid_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1468s] [ 93%] 2025-12-04T16:31:44.9270821Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_disable_inline_nn_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5049s] [ 93%] 2025-12-04T16:31:44.9271676Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2751s] [ 93%] 2025-12-04T16:31:44.9272618Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_sequential_params_and_buffers_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1787s] [ 93%] 2025-12-04T16:31:44.9273497Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_call_compiled_backward_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3331s] [ 93%] 2025-12-04T16:31:44.9274339Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_call_torch_compile_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0094s] [ 93%] 2025-12-04T16:31:44.9275208Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_capture_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1987s] [ 93%] 2025-12-04T16:31:44.9276022Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_closure_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3236s] [ 93%] 2025-12-04T16:31:44.9276767Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2903s] [ 93%] 2025-12-04T16:31:44.9277582Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_fn_with_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3406s] [ 93%] 2025-12-04T16:31:44.9278430Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_freevar_python_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3235s] [ 93%] 2025-12-04T16:31:44.9279262Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_freevar_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6162s] [ 93%] 2025-12-04T16:31:44.9280067Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3269s] [ 93%] 2025-12-04T16:31:44.9280880Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_non_tensor_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3024s] [ 93%] 2025-12-04T16:31:44.9281673Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_over_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1248s] [ 93%] 2025-12-04T16:31:44.9282442Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_pytree_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5233s] [ 93%] 2025-12-04T16:31:44.9283279Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_recompile_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0978s] [ 94%] 2025-12-04T16:31:44.9284137Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_two_tensor_all_grad_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.8610s] [ 94%] 2025-12-04T16:31:44.9284969Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_two_tensor_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3703s] [ 94%] 2025-12-04T16:31:44.9285786Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_with_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1409s] [ 94%] 2025-12-04T16:31:44.9286596Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_with_side_effect_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4837s] [ 94%] 2025-12-04T16:31:44.9287440Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_hessian_argnums_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.7231s] [ 94%] 2025-12-04T16:31:44.9288206Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_hessian_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.1965s] [ 94%] 2025-12-04T16:31:44.9288970Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.8110s] [ 94%] 2025-12-04T16:31:44.9289749Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9888s] [ 94%] 2025-12-04T16:31:44.9290561Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_randomness_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.0999s] [ 94%] 2025-12-04T16:31:44.9291558Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_two_tensors_argnums_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.8336s] [ 94%] 2025-12-04T16:31:44.9292318Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6189s] [ 94%] 2025-12-04T16:31:44.9293111Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6492s] [ 94%] 2025-12-04T16:31:44.9293956Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_two_tensors_argnums_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6464s] [ 94%] 2025-12-04T16:31:44.9294799Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_call_torch_compile_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0098s] [ 94%] 2025-12-04T16:31:44.9295643Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_freevar_python_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5700s] [ 94%] 2025-12-04T16:31:44.9296496Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_freevar_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5214s] [ 94%] 2025-12-04T16:31:44.9297259Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3039s] [ 94%] 2025-12-04T16:31:44.9298161Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_jvp_dynamic_shapes <- test/dynamo/test_higher_order_ops.py SKIPPED [0.0017s] (test fails with dynamic shapes) [ 94%] 2025-12-04T16:31:44.9298942Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_simple_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2895s] [ 94%] 2025-12-04T16:31:44.9299907Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_enable_disable_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2916s] [ 95%] 2025-12-04T16:31:44.9300770Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2898s] [ 95%] 2025-12-04T16:31:44.9301588Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4953s] [ 95%] 2025-12-04T16:31:44.9302398Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_linearize_jvp_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6349s] [ 95%] 2025-12-04T16:31:44.9303287Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_teardown_resets_nested_graph_breaks_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0017s] [ 95%] 2025-12-04T16:31:44.9304186Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_call_compiled_backward_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0995s] [ 95%] 2025-12-04T16:31:44.9305117Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0957s] [ 95%] 2025-12-04T16:31:44.9305876Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0967s] [ 95%] 2025-12-04T16:31:44.9306712Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_multiple_outputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1928s] [ 95%] 2025-12-04T16:31:44.9307609Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_multiple_outputs_python_struct_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2128s] [ 95%] 2025-12-04T16:31:44.9308552Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_call_compiled_backward_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0987s] [ 95%] 2025-12-04T16:31:44.9309394Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_call_torch_compile_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0096s] [ 95%] 2025-12-04T16:31:44.9310134Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2045s] [ 95%] 2025-12-04T16:31:44.9310936Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_free_const_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2323s] [ 95%] 2025-12-04T16:31:44.9311734Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_free_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5019s] [ 95%] 2025-12-04T16:31:44.9312587Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_get_wrapped_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0264s] [ 95%] 2025-12-04T16:31:44.9313358Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5478s] [ 95%] 2025-12-04T16:31:44.9314247Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_in_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.8462s] [ 95%] 2025-12-04T16:31:44.9315126Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_out_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7339s] [ 95%] 2025-12-04T16:31:44.9316030Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_diff_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2920s] [ 96%] 2025-12-04T16:31:44.9316872Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2163s] [ 96%] 2025-12-04T16:31:44.9317760Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_out_dims_tuple_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3183s] [ 96%] 2025-12-04T16:31:44.9318635Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_implicit_via_op_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2007s] [ 96%] 2025-12-04T16:31:44.9319449Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_in_body_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3188s] [ 96%] 2025-12-04T16:31:44.9320320Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_unused_in_body_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1818s] [ 96%] 2025-12-04T16:31:44.9321168Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_out_dims_None_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3382s] [ 96%] 2025-12-04T16:31:44.9322005Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_over_vmap_captured_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5745s] [ 96%] 2025-12-04T16:31:44.9322836Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_over_vmap_two_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4299s] [ 96%] 2025-12-04T16:31:44.9323736Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_previous_illegal_op_no_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7056s] [ 96%] 2025-12-04T16:31:44.9324582Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_pytree_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3349s] [ 96%] 2025-12-04T16:31:44.9325464Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_different_config_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1241s] [ 96%] 2025-12-04T16:31:44.9326270Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1191s] [ 96%] 2025-12-04T16:31:44.9327115Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_same_config_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1235s] [ 96%] 2025-12-04T16:31:44.9328004Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_with_randomness_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1229s] [ 96%] 2025-12-04T16:31:44.9329376Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_side_effects_append_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py [W1204 15:59:08.560993177 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9329449Z 2025-12-04T16:31:44.9329558Z XFAIL [0.2119s] [ 96%] 2025-12-04T16:31:44.9330375Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_side_effects_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3357s] [ 96%] 2025-12-04T16:31:44.9331245Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_two_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3646s] [ 96%] 2025-12-04T16:31:44.9332109Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_two_inputs_tuple_in_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4521s] [ 96%] 2025-12-04T16:31:44.9333032Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_conditional_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4484s] [ 96%] 2025-12-04T16:31:44.9333870Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_2_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1697s] [ 97%] 2025-12-04T16:31:44.9334686Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1731s] [ 97%] 2025-12-04T16:31:44.9335534Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_lambda_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1626s] [ 97%] 2025-12-04T16:31:44.9336249Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_LSTM_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0913s] [ 97%] 2025-12-04T16:31:44.9337018Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_alias_inputs_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2374s] [ 97%] 2025-12-04T16:31:44.9337905Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_backwards_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.8156s] [ 97%] 2025-12-04T16:31:44.9339245Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_error_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:12.900725944 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9339251Z 2025-12-04T16:31:44.9339369Z XFAIL [0.5389s] [ 97%] 2025-12-04T16:31:44.9340273Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_functionalizes_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.5589s] [ 97%] 2025-12-04T16:31:44.9341644Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_raises_invalid_leaf_set_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:13.061214596 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9341663Z 2025-12-04T16:31:44.9342189Z [W1204 15:59:13.061466662 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9342195Z 2025-12-04T16:31:44.9342711Z [W1204 15:59:13.756726092 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9342716Z 2025-12-04T16:31:44.9342835Z PASSED [0.7780s] [ 97%] 2025-12-04T16:31:44.9344349Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_stride_reconstruction_on_zero_dim_dynamic_shaped_tensor_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:14.217647934 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9344387Z 2025-12-04T16:31:44.9344919Z [W1204 15:59:14.217882236 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9344924Z 2025-12-04T16:31:44.9345437Z [W1204 15:59:15.504817265 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9345442Z 2025-12-04T16:31:44.9345968Z [W1204 15:59:15.505051538 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9345973Z 2025-12-04T16:31:44.9346078Z PASSED [3.4519s] [ 97%] 2025-12-04T16:31:44.9346926Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_export_joint_simple_repro_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.7812s] [ 97%] 2025-12-04T16:31:44.9347723Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_grad_mode_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.0992s] [ 97%] 2025-12-04T16:31:44.9348472Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_sequence_nr_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3206s] [ 97%] 2025-12-04T16:31:44.9349308Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.2710s] [ 97%] 2025-12-04T16:31:44.9350169Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [4.5636s] [ 97%] 2025-12-04T16:31:44.9351075Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.0503s] [ 97%] 2025-12-04T16:31:44.9352063Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.1164s] [ 97%] 2025-12-04T16:31:44.9353053Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_list_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.1186s] [ 97%] 2025-12-04T16:31:44.9353947Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_with_global_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.6597s] [ 97%] 2025-12-04T16:31:44.9354805Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_autograd_function_tangent_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2572s] [ 97%] 2025-12-04T16:31:44.9355691Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_safe_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3158s] [ 98%] 2025-12-04T16:31:44.9356608Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_control_flow_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3364s] [ 98%] 2025-12-04T16:31:44.9357472Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1913s] [ 98%] 2025-12-04T16:31:44.9358242Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_copy_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0047s] [ 98%] 2025-12-04T16:31:44.9359595Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_fails_in_backward_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:35.433274554 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9359631Z 2025-12-04T16:31:44.9359737Z PASSED [0.1721s] [ 98%] 2025-12-04T16:31:44.9361060Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_fails_in_forward_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:35.524943508 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9361078Z 2025-12-04T16:31:44.9361601Z [W1204 15:59:35.549655758 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9361606Z 2025-12-04T16:31:44.9362120Z [W1204 15:59:35.563842677 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9362125Z 2025-12-04T16:31:44.9362684Z [W1204 15:59:35.584187627 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9362691Z 2025-12-04T16:31:44.9363205Z [W1204 15:59:35.608523333 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9363210Z 2025-12-04T16:31:44.9363736Z [W1204 15:59:35.631391141 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9363741Z 2025-12-04T16:31:44.9363843Z PASSED [0.1338s] [ 98%] 2025-12-04T16:31:44.9364777Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_different_inputs_overlapping_set_with_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.1144s] [ 98%] 2025-12-04T16:31:44.9366036Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer1_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:37.046848276 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9366071Z 2025-12-04T16:31:44.9366609Z [W1204 15:59:37.047093078 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9366614Z 2025-12-04T16:31:44.9366717Z PASSED [2.2471s] [ 98%] 2025-12-04T16:31:44.9367475Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer2_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3168s] [ 98%] 2025-12-04T16:31:44.9368243Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer3_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.2930s] [ 98%] 2025-12-04T16:31:44.9369497Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer4_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:42.789262424 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9369535Z 2025-12-04T16:31:44.9370067Z [W1204 15:59:42.789511831 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9370073Z 2025-12-04T16:31:44.9370176Z PASSED [1.7988s] [ 98%] 2025-12-04T16:31:44.9371550Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer5_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:44.792818179 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9371556Z 2025-12-04T16:31:44.9372073Z [W1204 15:59:44.793066302 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9372079Z 2025-12-04T16:31:44.9372184Z PASSED [2.5829s] [ 98%] 2025-12-04T16:31:44.9372962Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer6_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0037s] [ 98%] 2025-12-04T16:31:44.9374386Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph1_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:46.184120847 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9374393Z 2025-12-04T16:31:44.9374924Z [W1204 15:59:46.184381208 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9374929Z 2025-12-04T16:31:44.9375032Z PASSED [1.8664s] [ 98%] 2025-12-04T16:31:44.9376463Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph2_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:48.049141995 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9376473Z 2025-12-04T16:31:44.9376994Z [W1204 15:59:48.049396306 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9376999Z 2025-12-04T16:31:44.9377117Z PASSED [1.8051s] [ 98%] 2025-12-04T16:31:44.9378496Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph3_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:50.841618022 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9378502Z 2025-12-04T16:31:44.9379019Z [W1204 15:59:50.841863783 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9379039Z 2025-12-04T16:31:44.9379142Z PASSED [1.7268s] [ 98%] 2025-12-04T16:31:44.9380525Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph4_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 15:59:51.569192200 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9380561Z 2025-12-04T16:31:44.9381092Z [W1204 15:59:51.569431309 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9381097Z 2025-12-04T16:31:44.9381199Z PASSED [1.7316s] [ 98%] 2025-12-04T16:31:44.9382000Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_double_backward_errors_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.7121s] [ 98%] 2025-12-04T16:31:44.9382776Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_eager_sequence_nr_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [229.1515s] [ 98%] 2025-12-04T16:31:44.9383609Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_grad_inputs_alias_inputs_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1014s] [ 98%] 2025-12-04T16:31:44.9384523Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_inputs_overlapping_with_mutation_recompile_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.8812s] [ 99%] 2025-12-04T16:31:44.9385676Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_inputs_overlapping_with_mutation_stress_dynamic_shapes <- test/dynamo/test_aot_autograd.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 99%] 2025-12-04T16:31:44.9386447Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_joint_custom_pass_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2850s] [ 99%] 2025-12-04T16:31:44.9387298Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_multiple_aot_autograd_calls_dupe_args_dynamic_shapes <- test/dynamo/test_aot_autograd.py XFAIL [0.0730s] [ 99%] 2025-12-04T16:31:44.9388081Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_mutation1_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.6777s] [ 99%] 2025-12-04T16:31:44.9388805Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1089s] [ 99%] 2025-12-04T16:31:44.9389588Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_negative_testing_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1957s] [ 99%] 2025-12-04T16:31:44.9390401Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_negative_testing_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3500s] [ 99%] 2025-12-04T16:31:44.9391207Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_nn_parameter_construction_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.4669s] [ 99%] 2025-12-04T16:31:44.9392114Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_no_storage_overlap_guards_no_aliasing_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2807s] [ 99%] 2025-12-04T16:31:44.9392971Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_no_storage_overlap_guards_no_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1989s] [ 99%] 2025-12-04T16:31:44.9393856Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_requires_grad_fake_via_dynamo_recompiles_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.8694s] [ 99%] 2025-12-04T16:31:44.9394783Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_split_with_sizes_aot_autograd_cleans_up_traceback_meta_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0042s] [ 99%] 2025-12-04T16:31:44.9396206Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_unbacked_activation_specialized_in_inductor_dynamic_shapes <- test/dynamo/test_aot_autograd.py [W1204 16:03:50.102078113 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9396247Z 2025-12-04T16:31:44.9396767Z [W1204 16:03:50.102324396 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9396772Z 2025-12-04T16:31:44.9397304Z [W1204 16:03:50.102742087 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9397309Z 2025-12-04T16:31:44.9397830Z [W1204 16:03:50.102922886 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9397835Z 2025-12-04T16:31:44.9398347Z [W1204 16:03:50.103311409 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9398354Z 2025-12-04T16:31:44.9398915Z [W1204 16:03:50.103482480 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9398920Z 2025-12-04T16:31:44.9399437Z [W1204 16:03:50.103798194 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9399442Z 2025-12-04T16:31:44.9399971Z [W1204 16:03:50.103957935 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9399976Z 2025-12-04T16:31:44.9400487Z [W1204 16:03:50.104350642 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9400492Z 2025-12-04T16:31:44.9401020Z [W1204 16:03:50.104515251 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9401025Z 2025-12-04T16:31:44.9401549Z [W1204 16:03:50.104832640 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9401583Z 2025-12-04T16:31:44.9402109Z [W1204 16:03:50.104992206 Module.cpp:201] symbolizing C++ stack trace for exception; if this hangs, rerun with TORCH_DISABLE_ADDR2LINE=1... 2025-12-04T16:31:44.9402113Z 2025-12-04T16:31:44.9402219Z PASSED [3.4843s] [ 99%] 2025-12-04T16:31:44.9402872Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_graph_break_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.1953s] [ 99%] 2025-12-04T16:31:44.9403505Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_input_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.1186s] [ 99%] 2025-12-04T16:31:44.9404225Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_intermediate_attr_access_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.0856s] [ 99%] 2025-12-04T16:31:44.9405108Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_returns_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.0707s] [ 99%] 2025-12-04T16:31:44.9405789Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_sdpa_c_functions_no_graph_break_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.0335s] [ 99%] 2025-12-04T16:31:44.9406478Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_sdpa_kernel_decorator_with_compile_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [1.3721s] [100%] 2025-12-04T16:31:44.9406499Z 2025-12-04T16:31:44.9407254Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-b776495d1358f465.xml - 2025-12-04T16:31:44.9407486Z ========== 1918 passed, 32 skipped, 27 xfailed in 1605.04s (0:26:45) =========== 2025-12-04T16:31:44.9407602Z Got exit code 0 2025-12-04T16:31:44.9407851Z Test succeeded in new process, continuing with the rest of the tests 2025-12-04T16:31:44.9408424Z Test results will be stored in test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-130877be3b6d9064.xml 2025-12-04T16:31:44.9408659Z ============================= test session starts ============================== 2025-12-04T16:31:44.9409017Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T16:31:44.9409142Z cachedir: .pytest_cache 2025-12-04T16:31:44.9409665Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T16:31:44.9409791Z rootdir: /var/lib/jenkins/workspace 2025-12-04T16:31:44.9409916Z configfile: pytest.ini 2025-12-04T16:31:44.9410513Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T16:31:44.9410634Z collecting ... collected 1977 items 2025-12-04T16:31:44.9410834Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T16:31:44.9410955Z Running 1977 items in this shard 2025-12-04T16:31:44.9410962Z 2025-12-04T16:31:44.9411878Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_311_resume_block_keyerror2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4915s] [ 0%] 2025-12-04T16:31:44.9412608Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_311_resume_block_keyerror_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4276s] [ 0%] 2025-12-04T16:31:44.9413349Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_arguments_binding_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2466s] [ 0%] 2025-12-04T16:31:44.9414031Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0709s] [ 0%] 2025-12-04T16:31:44.9414753Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3277s] [ 0%] 2025-12-04T16:31:44.9415598Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4153s] [ 0%] 2025-12-04T16:31:44.9416352Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_cpu_graph_break_inner_fn_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.8312s] [ 0%] 2025-12-04T16:31:44.9417070Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [1.1218s] [ 0%] 2025-12-04T16:31:44.9417749Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_device_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0642s] [ 0%] 2025-12-04T16:31:44.9418399Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0642s] [ 0%] 2025-12-04T16:31:44.9419128Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_float64_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0632s] [ 0%] 2025-12-04T16:31:44.9419871Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_graph_break_method_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3723s] [ 0%] 2025-12-04T16:31:44.9420745Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autocast_sdpa_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0004s] (Can't run fused SDPA on this platform) [ 0%] 2025-12-04T16:31:44.9422058Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autograd_profiler_dynamic_shapes <- test/dynamo/test_ctx_manager.py W1204 16:04:37.071000 160802 site-packages/torch/_logging/_internal.py:1204] [0/0] Profiler function will be ignored 2025-12-04T16:31:44.9422741Z W1204 16:04:37.081000 160802 site-packages/torch/_logging/_internal.py:1204] [0/0] Profiler function will be ignored 2025-12-04T16:31:44.9422876Z PASSED [0.3588s] [ 0%] 2025-12-04T16:31:44.9423618Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_autograd_profiler_enabled_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2142s] [ 0%] 2025-12-04T16:31:44.9424412Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_grad_mode_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2858s] [ 0%] 2025-12-04T16:31:44.9425279Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_grad_mode_nested_function_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2777s] [ 0%] 2025-12-04T16:31:44.9426133Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_context_wrapping_set_grad_enabled_nested_function_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1421s] [ 0%] 2025-12-04T16:31:44.9426824Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_amp_autocast_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0619s] [ 0%] 2025-12-04T16:31:44.9427532Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_device_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1117s] [ 1%] 2025-12-04T16:31:44.9428724Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_across_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0004s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.9429924Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_created_outside_of_graph_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0003s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.9431215Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_method_create_stream_outside_of_compile_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0003s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.9431938Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_method_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2351s] [ 1%] 2025-12-04T16:31:44.9433095Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_event_reconstruct_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0003s] (Will not support external events for now: https://github.com/pytorch/pytorch/issues/167257) [ 1%] 2025-12-04T16:31:44.9433842Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_across_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py XFAIL [0.2116s] [ 1%] 2025-12-04T16:31:44.9434625Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_compared_with_constant_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.5063s] [ 1%] 2025-12-04T16:31:44.9435418Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_compared_with_stream_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3507s] [ 1%] 2025-12-04T16:31:44.9436177Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_context_manager1_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2019s] [ 1%] 2025-12-04T16:31:44.9436917Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_context_manager2_dynamic_shapes <- test/dynamo/test_ctx_manager.py XFAIL [0.2575s] [ 1%] 2025-12-04T16:31:44.9437607Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_cuda_stream_method_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2403s] [ 1%] 2025-12-04T16:31:44.9438357Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0493s] [ 1%] 2025-12-04T16:31:44.9439201Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1052s] [ 1%] 2025-12-04T16:31:44.9440017Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_prev_disabled_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0467s] [ 1%] 2025-12-04T16:31:44.9440851Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_disable_saved_tensors_hooks_prev_disabled_nested_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0491s] [ 1%] 2025-12-04T16:31:44.9441706Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3645s] [ 1%] 2025-12-04T16:31:44.9442536Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3758s] [ 1%] 2025-12-04T16:31:44.9443490Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_with_graph_break_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2421s] [ 1%] 2025-12-04T16:31:44.9444415Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_context_manager_with_graph_break_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0803s] [ 1%] 2025-12-04T16:31:44.9445400Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_ctx_manager_with_graph_break_CustomizedCtxManagerWithGraphBreak_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1347s] [ 2%] 2025-12-04T16:31:44.9446369Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_generic_ctx_manager_with_graph_break_customized_ctx_manager_with_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0184s] [ 2%] 2025-12-04T16:31:44.9447047Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_grad_mode_guard_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2560s] [ 2%] 2025-12-04T16:31:44.9447840Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_graph_break_inlining_autocast_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.8111s] [ 2%] 2025-12-04T16:31:44.9448562Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_graph_break_inlining_grad_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2648s] [ 2%] 2025-12-04T16:31:44.9449331Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1581s] [ 2%] 2025-12-04T16:31:44.9450161Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_nullctx2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1633s] [ 2%] 2025-12-04T16:31:44.9451000Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_local_nullctx_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1595s] [ 2%] 2025-12-04T16:31:44.9451880Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_stack2_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1806s] [ 2%] 2025-12-04T16:31:44.9452648Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_inactive_context_graph_break_stack_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1633s] [ 2%] 2025-12-04T16:31:44.9453375Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_is_autocast_cpu_enabled_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1564s] [ 2%] 2025-12-04T16:31:44.9454254Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.3938s] [ 2%] 2025-12-04T16:31:44.9455126Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4077s] [ 2%] 2025-12-04T16:31:44.9456128Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_with_graph_break_CustomizedCtxManager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.4781s] [ 2%] 2025-12-04T16:31:44.9457073Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_generic_context_manager_with_graph_break_customized_ctx_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1598s] [ 2%] 2025-12-04T16:31:44.9457829Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_nested_grad_mode_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.6372s] [ 2%] 2025-12-04T16:31:44.9458470Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_no_grad_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [1.1226s] [ 2%] 2025-12-04T16:31:44.9459241Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_return_context_manager_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0407s] [ 2%] 2025-12-04T16:31:44.9460033Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_return_context_manager_with_graph_break_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1333s] [ 2%] 2025-12-04T16:31:44.9460764Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager1_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [52.8152s] [ 2%] 2025-12-04T16:31:44.9461773Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager2_dynamic_shapes <- test/dynamo/test_ctx_manager.py SKIPPED [0.0006s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 3%] 2025-12-04T16:31:44.9462497Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager3_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2332s] [ 3%] 2025-12-04T16:31:44.9463290Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_as_decorator_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.2659s] [ 3%] 2025-12-04T16:31:44.9464064Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_kwargs_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1116s] [ 3%] 2025-12-04T16:31:44.9464856Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_sdpa_kernel_ctx_manager_set_priority_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1321s] [ 3%] 2025-12-04T16:31:44.9465604Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_store_attr_graph_break_key_error_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.1630s] [ 3%] 2025-12-04T16:31:44.9466936Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_torch_profiler_dynamic_shapes <- test/dynamo/test_ctx_manager.py W1204 16:05:41.475000 160802 site-packages/torch/_logging/_internal.py:1204] [0/0] Profiler function will be ignored 2025-12-04T16:31:44.9467056Z PASSED [0.3425s] [ 3%] 2025-12-04T16:31:44.9467827Z dynamo/test_dynamic_shapes.py::DynamicShapesCtxManagerTests::test_torch_profiler_use_after_with_block_dynamic_shapes <- test/dynamo/test_ctx_manager.py PASSED [0.0262s] [ 3%] 2025-12-04T16:31:44.9468437Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_T_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1440s] [ 3%] 2025-12-04T16:31:44.9469039Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_add__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1656s] [ 3%] 2025-12-04T16:31:44.9469649Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1166s] [ 3%] 2025-12-04T16:31:44.9470275Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcdiv__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1975s] [ 3%] 2025-12-04T16:31:44.9470930Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcdiv_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1779s] [ 3%] 2025-12-04T16:31:44.9471566Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_addcmul__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1663s] [ 3%] 2025-12-04T16:31:44.9472305Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_are_functorch_transforms_active_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0910s] [ 3%] 2025-12-04T16:31:44.9472957Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_attrgetter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [3.6504s] [ 3%] 2025-12-04T16:31:44.9473651Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_broadcast_foreach_pow_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0577s] [ 3%] 2025-12-04T16:31:44.9474315Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_build_list_unpack_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2048s] [ 3%] 2025-12-04T16:31:44.9475013Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1451s] [ 3%] 2025-12-04T16:31:44.9475643Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0997s] [ 3%] 2025-12-04T16:31:44.9476278Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1696s] [ 4%] 2025-12-04T16:31:44.9476905Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1717s] [ 4%] 2025-12-04T16:31:44.9477532Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_call_dict5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1699s] [ 4%] 2025-12-04T16:31:44.9478216Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_builtin_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0907s] [ 4%] 2025-12-04T16:31:44.9478899Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_class_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.8289s] [ 4%] 2025-12-04T16:31:44.9479573Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0904s] [ 4%] 2025-12-04T16:31:44.9480223Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1394s] [ 4%] 2025-12-04T16:31:44.9480898Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_callable_torch_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0907s] [ 4%] 2025-12-04T16:31:44.9481522Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_chunks1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2723s] [ 4%] 2025-12-04T16:31:44.9482187Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_class_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0724s] [ 4%] 2025-12-04T16:31:44.9482811Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_eq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1601s] [ 4%] 2025-12-04T16:31:44.9483448Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0930s] [ 4%] 2025-12-04T16:31:44.9484072Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cls_is_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1561s] [ 4%] 2025-12-04T16:31:44.9484790Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_compare_constant_and_tensor_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.4816s] [ 4%] 2025-12-04T16:31:44.9485454Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_complex_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0180s] [ 4%] 2025-12-04T16:31:44.9486158Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_const_tuple_add1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1355s] [ 4%] 2025-12-04T16:31:44.9486812Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_const_tuple_add2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1363s] [ 4%] 2025-12-04T16:31:44.9487456Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1845s] [ 4%] 2025-12-04T16:31:44.9488085Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1704s] [ 4%] 2025-12-04T16:31:44.9488729Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0890s] [ 5%] 2025-12-04T16:31:44.9489361Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1131s] [ 5%] 2025-12-04T16:31:44.9490036Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_constant_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1642s] [ 5%] 2025-12-04T16:31:44.9490852Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_context_wrapping_nested_functions_no_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1077s] [ 5%] 2025-12-04T16:31:44.9491619Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_cublas_allow_tf32_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1142s] [ 5%] 2025-12-04T16:31:44.9492300Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_custom_dict_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0516s] [ 5%] 2025-12-04T16:31:44.9492979Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1752s] [ 5%] 2025-12-04T16:31:44.9493665Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_constr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1968s] [ 5%] 2025-12-04T16:31:44.9494384Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1645s] [ 5%] 2025-12-04T16:31:44.9495061Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1652s] [ 5%] 2025-12-04T16:31:44.9495735Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1649s] [ 5%] 2025-12-04T16:31:44.9496389Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1648s] [ 5%] 2025-12-04T16:31:44.9497118Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_default_dict_tuple_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1644s] [ 5%] 2025-12-04T16:31:44.9497839Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0914s] [ 5%] 2025-12-04T16:31:44.9498552Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0912s] [ 5%] 2025-12-04T16:31:44.9499274Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_defaultdict_setdefault3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0909s] [ 5%] 2025-12-04T16:31:44.9499876Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_del_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1526s] [ 5%] 2025-12-04T16:31:44.9500506Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_deque_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1113s] [ 5%] 2025-12-04T16:31:44.9501177Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_device_constant_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0919s] [ 5%] 2025-12-04T16:31:44.9501825Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_device_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0888s] [ 5%] 2025-12-04T16:31:44.9502469Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_copy_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2517s] [ 6%] 2025-12-04T16:31:44.9503120Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_fromkeys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2229s] [ 6%] 2025-12-04T16:31:44.9503776Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1321s] [ 6%] 2025-12-04T16:31:44.9504422Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_id_guard_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0863s] [ 6%] 2025-12-04T16:31:44.9505324Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_items_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1026s] [ 6%] 2025-12-04T16:31:44.9505970Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1934s] [ 6%] 2025-12-04T16:31:44.9506610Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1853s] [ 6%] 2025-12-04T16:31:44.9507262Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_key_set3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1754s] [ 6%] 2025-12-04T16:31:44.9507886Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_keys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0907s] [ 6%] 2025-12-04T16:31:44.9508537Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1102s] [ 6%] 2025-12-04T16:31:44.9509246Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_mutable_map_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5892s] [ 6%] 2025-12-04T16:31:44.9509865Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_ops_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2114s] [ 6%] 2025-12-04T16:31:44.9510526Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_param_keys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1039s] [ 6%] 2025-12-04T16:31:44.9511194Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0913s] [ 6%] 2025-12-04T16:31:44.9511874Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0917s] [ 6%] 2025-12-04T16:31:44.9512577Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_setdefault3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0916s] [ 6%] 2025-12-04T16:31:44.9513234Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0935s] [ 6%] 2025-12-04T16:31:44.9513912Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_tuple_lazy_guard_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1759s] [ 6%] 2025-12-04T16:31:44.9514546Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_update_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3726s] [ 6%] 2025-12-04T16:31:44.9515227Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_update_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1062s] [ 6%] 2025-12-04T16:31:44.9515864Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dict_values_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1057s] [ 7%] 2025-12-04T16:31:44.9516631Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_distributed_is_available_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0927s] [ 7%] 2025-12-04T16:31:44.9517357Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_distributed_is_initialized_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0926s] [ 7%] 2025-12-04T16:31:44.9518514Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dtype_compare_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1384s] [ 7%] 2025-12-04T16:31:44.9519300Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_dtype_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0908s] [ 7%] 2025-12-04T16:31:44.9519933Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_elipsis_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7257s] [ 7%] 2025-12-04T16:31:44.9520670Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_custom_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0873s] [ 7%] 2025-12-04T16:31:44.9521367Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1231s] [ 7%] 2025-12-04T16:31:44.9522409Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_enumerate_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py SKIPPED [0.0004s] (https://github.com/pytorch/pytorch/pull/146527 exposed a bug) [ 7%] 2025-12-04T16:31:44.9523029Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3491s] [ 7%] 2025-12-04T16:31:44.9523700Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_fallback_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4384s] [ 7%] 2025-12-04T16:31:44.9524432Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_graph_break_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1516s] [ 7%] 2025-12-04T16:31:44.9525151Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_infinite_iterator_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0592s] [ 7%] 2025-12-04T16:31:44.9525881Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0915s] [ 7%] 2025-12-04T16:31:44.9526572Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_filter_with_graph_break_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3093s] [ 7%] 2025-12-04T16:31:44.9527181Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_finfo_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1108s] [ 7%] 2025-12-04T16:31:44.9527899Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_flat_param_same_storage_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2720s] [ 7%] 2025-12-04T16:31:44.9528536Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_float_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0912s] [ 7%] 2025-12-04T16:31:44.9529211Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fn_with_self_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [50.4790s] [ 7%] 2025-12-04T16:31:44.9529857Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_foreach_lerp__dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2777s] [ 7%] 2025-12-04T16:31:44.9530501Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1121s] [ 8%] 2025-12-04T16:31:44.9531243Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0859s] [ 8%] 2025-12-04T16:31:44.9531878Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0842s] [ 8%] 2025-12-04T16:31:44.9532525Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0805s] [ 8%] 2025-12-04T16:31:44.9533194Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0819s] [ 8%] 2025-12-04T16:31:44.9533837Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_fstrings6_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0888s] [ 8%] 2025-12-04T16:31:44.9534497Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_funcdef_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2189s] [ 8%] 2025-12-04T16:31:44.9535187Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_cache_guard_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0768s] [ 8%] 2025-12-04T16:31:44.9535911Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_partial_binding_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0697s] [ 8%] 2025-12-04T16:31:44.9536619Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_functools_partial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3142s] [ 8%] 2025-12-04T16:31:44.9537354Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1146s] [ 8%] 2025-12-04T16:31:44.9538082Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_subclass_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1128s] [ 8%] 2025-12-04T16:31:44.9538830Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_generic_namedtuple_user_methods_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1130s] [ 8%] 2025-12-04T16:31:44.9539521Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_autocast_gpu_dtype_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0902s] [ 8%] 2025-12-04T16:31:44.9540235Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_calculate_correct_fan_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0951s] [ 8%] 2025-12-04T16:31:44.9540947Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_default_dtype_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0850s] [ 8%] 2025-12-04T16:31:44.9541711Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_device_properties_tensor_device_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1163s] [ 8%] 2025-12-04T16:31:44.9542407Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_get_privateuse1_name_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0863s] [ 8%] 2025-12-04T16:31:44.9543036Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_getattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0914s] [ 8%] 2025-12-04T16:31:44.9543707Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_getattr_metaclass_dynamic_shapes <- test/dynamo/test_functions.py XFAIL [0.0443s] [ 9%] 2025-12-04T16:31:44.9544413Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalfn_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1104s] [ 9%] 2025-12-04T16:31:44.9545069Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalmodule_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1088s] [ 9%] 2025-12-04T16:31:44.9545709Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_globalvar_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1573s] [ 9%] 2025-12-04T16:31:44.9546331Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_import1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1316s] [ 9%] 2025-12-04T16:31:44.9546958Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_in_not_in_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0904s] [ 9%] 2025-12-04T16:31:44.9547568Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_index_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.6609s] [ 9%] 2025-12-04T16:31:44.9548252Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indexed_range_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0050s] [ 9%] 2025-12-04T16:31:44.9548897Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1105s] [ 9%] 2025-12-04T16:31:44.9549529Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1110s] [ 9%] 2025-12-04T16:31:44.9550177Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_indirect3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1118s] [ 9%] 2025-12-04T16:31:44.9550891Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_jit__unwrap_optional_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0908s] [ 9%] 2025-12-04T16:31:44.9551586Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_jit_annotations_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1197s] [ 9%] 2025-12-04T16:31:44.9552379Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_lru_cache_fn_with_default_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1080s] [ 9%] 2025-12-04T16:31:44.9553176Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_script_if_tracing_fn_with_default_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1478s] [ 9%] 2025-12-04T16:31:44.9553842Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_softmax_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1789s] [ 9%] 2025-12-04T16:31:44.9554520Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inline_with_default_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1566s] [ 9%] 2025-12-04T16:31:44.9555188Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_inner_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0895s] [ 9%] 2025-12-04T16:31:44.9555928Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_any_autocast_enabled_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0864s] [ 9%] 2025-12-04T16:31:44.9556602Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_checkpoint_valid_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0857s] [ 9%] 2025-12-04T16:31:44.9557243Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_complex_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.6266s] [ 10%] 2025-12-04T16:31:44.9557951Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_contiguous_frame_counts_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.0346s] [ 10%] 2025-12-04T16:31:44.9558683Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_contiguous_memory_format_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1072s] [ 10%] 2025-12-04T16:31:44.9559308Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1201s] [ 10%] 2025-12-04T16:31:44.9559977Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_floating_point_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0902s] [ 10%] 2025-12-04T16:31:44.9561906Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_fx_tracing_dynamic_shapes <- test/dynamo/test_functions.py W1204 16:06:58.807000 160802 site-packages/torch/fx/_symbolic_trace.py:53] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile. 2025-12-04T16:31:44.9562018Z PASSED [0.0915s] [ 10%] 2025-12-04T16:31:44.9562690Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_in_onnx_export_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0855s] [ 10%] 2025-12-04T16:31:44.9563509Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_inference_mode_global_recompilation_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1227s] [ 10%] 2025-12-04T16:31:44.9564243Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_inference_recompilation_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3092s] [ 10%] 2025-12-04T16:31:44.9564872Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_integer_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0942s] [ 10%] 2025-12-04T16:31:44.9565481Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_not_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1190s] [ 10%] 2025-12-04T16:31:44.9566125Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_not_null_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1211s] [ 10%] 2025-12-04T16:31:44.9566773Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_quantized_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1152s] [ 10%] 2025-12-04T16:31:44.9567440Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_is_sparse_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0895s] [ 10%] 2025-12-04T16:31:44.9568081Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_isinstance_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1292s] [ 10%] 2025-12-04T16:31:44.9568725Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_islice_chain_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1740s] [ 10%] 2025-12-04T16:31:44.9569363Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itemgetter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [2.4607s] [ 10%] 2025-12-04T16:31:44.9570021Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_chain_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1758s] [ 10%] 2025-12-04T16:31:44.9570759Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_chain_from_iterable_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1709s] [ 10%] 2025-12-04T16:31:44.9571584Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_combinations_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0541s] [ 10%] 2025-12-04T16:31:44.9572273Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_compress_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0414s] [ 11%] 2025-12-04T16:31:44.9572989Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_compress_tensors_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0471s] [ 11%] 2025-12-04T16:31:44.9573710Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_filterfalse_basic_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0739s] [ 11%] 2025-12-04T16:31:44.9574401Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_pairwise_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0498s] [ 11%] 2025-12-04T16:31:44.9575174Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0308s] [ 11%] 2025-12-04T16:31:44.9575915Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_basic_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0424s] [ 11%] 2025-12-04T16:31:44.9576709Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_permutations_various_iterators_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0884s] [ 11%] 2025-12-04T16:31:44.9577419Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0121s] [ 11%] 2025-12-04T16:31:44.9578093Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2178s] [ 11%] 2025-12-04T16:31:44.9578859Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_product_various_iterators_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0885s] [ 11%] 2025-12-04T16:31:44.9579602Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_itertools_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0748s] [ 11%] 2025-12-04T16:31:44.9580245Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_jit_annotate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1060s] [ 11%] 2025-12-04T16:31:44.9580916Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0918s] [ 11%] 2025-12-04T16:31:44.9581577Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0920s] [ 11%] 2025-12-04T16:31:44.9582297Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_constant_misc_iterables_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0913s] [ 11%] 2025-12-04T16:31:44.9582975Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_len_tensor_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0923s] [ 11%] 2025-12-04T16:31:44.9583596Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1168s] [ 11%] 2025-12-04T16:31:44.9584279Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_add_then_mutate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1598s] [ 11%] 2025-12-04T16:31:44.9584909Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_clear_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1456s] [ 11%] 2025-12-04T16:31:44.9585603Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_compare_polyfill_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4223s] [ 11%] 2025-12-04T16:31:44.9586344Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_compare_polyfill_non_lists_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1185s] [ 12%] 2025-12-04T16:31:44.9587020Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_convert_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1694s] [ 12%] 2025-12-04T16:31:44.9587681Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_expand_lhs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1351s] [ 12%] 2025-12-04T16:31:44.9588410Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_index_with_constant_tensor_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1325s] [ 12%] 2025-12-04T16:31:44.9589065Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_reversed_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1795s] [ 12%] 2025-12-04T16:31:44.9589710Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_setitem_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1188s] [ 12%] 2025-12-04T16:31:44.9590419Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_setitem_slice_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1152s] [ 12%] 2025-12-04T16:31:44.9591122Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_slice_assignment_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0924s] [ 12%] 2025-12-04T16:31:44.9591753Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_slice_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0740s] [ 12%] 2025-12-04T16:31:44.9592405Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_sorted1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0933s] [ 12%] 2025-12-04T16:31:44.9593049Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_sorted2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0961s] [ 12%] 2025-12-04T16:31:44.9593694Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_list_truth_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1188s] [ 12%] 2025-12-04T16:31:44.9594361Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1310s] [ 12%] 2025-12-04T16:31:44.9594989Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1258s] [ 12%] 2025-12-04T16:31:44.9595634Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1261s] [ 12%] 2025-12-04T16:31:44.9596260Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1255s] [ 12%] 2025-12-04T16:31:44.9596898Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_listarg5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1256s] [ 12%] 2025-12-04T16:31:44.9597560Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_load_global_bool_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0946s] [ 12%] 2025-12-04T16:31:44.9598366Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_lru_cache_warning_issued_during_tracing_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0796s] [ 12%] 2025-12-04T16:31:44.9598976Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_mT_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1527s] [ 12%] 2025-12-04T16:31:44.9599619Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_manual_seed_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1054s] [ 13%] 2025-12-04T16:31:44.9600307Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_call_function_ex_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1522s] [ 13%] 2025-12-04T16:31:44.9600987Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_deque_extendleft_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0930s] [ 13%] 2025-12-04T16:31:44.9601667Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_dict_fromkeys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0918s] [ 13%] 2025-12-04T16:31:44.9602347Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_enumerate_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1395s] [ 13%] 2025-12-04T16:31:44.9603000Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_infinite_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1356s] [ 13%] 2025-12-04T16:31:44.9603631Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_iter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0954s] [ 13%] 2025-12-04T16:31:44.9604249Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1409s] [ 13%] 2025-12-04T16:31:44.9605690Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_extend_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0939s] [ 13%] 2025-12-04T16:31:44.9606395Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_list_slice_assign_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1854s] [ 13%] 2025-12-04T16:31:44.9607040Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_max_const_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0897s] [ 13%] 2025-12-04T16:31:44.9607667Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_max_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0941s] [ 13%] 2025-12-04T16:31:44.9608336Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_partial_unpack_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0910s] [ 13%] 2025-12-04T16:31:44.9609009Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0907s] [ 13%] 2025-12-04T16:31:44.9609649Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_reduce_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.8042s] [ 13%] 2025-12-04T16:31:44.9610335Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_return_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0834s] [ 13%] 2025-12-04T16:31:44.9610945Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_set_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0943s] [ 13%] 2025-12-04T16:31:44.9611669Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0940s] [ 13%] 2025-12-04T16:31:44.9612328Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_str_join_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0922s] [ 13%] 2025-12-04T16:31:44.9612948Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_sum_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2982s] [ 14%] 2025-12-04T16:31:44.9613658Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_tuple_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1346s] [ 14%] 2025-12-04T16:31:44.9614324Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_unpack_twice_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1352s] [ 14%] 2025-12-04T16:31:44.9614974Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_unpack_vars_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1549s] [ 14%] 2025-12-04T16:31:44.9615666Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_with_graph_break_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3094s] [ 14%] 2025-12-04T16:31:44.9616306Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_map_zip_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1011s] [ 14%] 2025-12-04T16:31:44.9617034Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_match_mapping_and_match_keys_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0920s] [ 14%] 2025-12-04T16:31:44.9617745Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_match_sequence_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1057s] [ 14%] 2025-12-04T16:31:44.9618557Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_math_fma_dynamic_shapes <- test/dynamo/test_functions.py SKIPPED [0.0004s] (math.fma introduced in python 3.13) [ 14%] 2025-12-04T16:31:44.9619200Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_math_radians_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0841s] [ 14%] 2025-12-04T16:31:44.9619822Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_mean_sum_np_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1565s] [ 14%] 2025-12-04T16:31:44.9620481Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1815s] [ 14%] 2025-12-04T16:31:44.9621150Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1471s] [ 14%] 2025-12-04T16:31:44.9621816Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcall3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1478s] [ 14%] 2025-12-04T16:31:44.9622465Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_methodcaller_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.3185s] [ 14%] 2025-12-04T16:31:44.9623074Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_min_max_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1507s] [ 14%] 2025-12-04T16:31:44.9623744Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_module_constant_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1619s] [ 14%] 2025-12-04T16:31:44.9624426Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_defaults_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1160s] [ 14%] 2025-12-04T16:31:44.9625113Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1377s] [ 14%] 2025-12-04T16:31:44.9625784Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_fields_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1238s] [ 14%] 2025-12-04T16:31:44.9626462Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1206s] [ 15%] 2025-12-04T16:31:44.9627152Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_replace_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1411s] [ 15%] 2025-12-04T16:31:44.9627835Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_subclass_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1192s] [ 15%] 2025-12-04T16:31:44.9628553Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_namedtuple_user_methods_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1200s] [ 15%] 2025-12-04T16:31:44.9629294Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_builtin_functions_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1515s] [ 15%] 2025-12-04T16:31:44.9629959Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_method_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1343s] [ 15%] 2025-12-04T16:31:44.9630707Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_methods_returning_scalar_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2254s] [ 15%] 2025-12-04T16:31:44.9631368Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_reshape_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2699s] [ 15%] 2025-12-04T16:31:44.9632058Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndarray_transpose_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1524s] [ 15%] 2025-12-04T16:31:44.9632662Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ndim_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0916s] [ 15%] 2025-12-04T16:31:44.9633423Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_no_recompile_inner_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1382s] [ 15%] 2025-12-04T16:31:44.9634132Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_no_recompile_inner_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1311s] [ 15%] 2025-12-04T16:31:44.9634819Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_non_inlined_closure_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3489s] [ 15%] 2025-12-04T16:31:44.9635442Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_not_list_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0894s] [ 15%] 2025-12-04T16:31:44.9636292Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_as_input_int_or_float_float_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4660s] [ 15%] 2025-12-04T16:31:44.9637120Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_as_input_int_or_float_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4635s] [ 15%] 2025-12-04T16:31:44.9637884Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_guards_float_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2766s] [ 15%] 2025-12-04T16:31:44.9638643Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_constant_collections_guards_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2754s] [ 15%] 2025-12-04T16:31:44.9639267Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_finfo_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0915s] [ 15%] 2025-12-04T16:31:44.9639887Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_np_iinfo_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0905s] [ 15%] 2025-12-04T16:31:44.9640735Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_as_integer_ratio_num_type0_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0583s] [ 16%] 2025-12-04T16:31:44.9641537Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_as_integer_ratio_num_type3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1440s] [ 16%] 2025-12-04T16:31:44.9642325Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_bit_length_num_type1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1902s] [ 16%] 2025-12-04T16:31:44.9643100Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_conjugate_num_type2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1211s] [ 16%] 2025-12-04T16:31:44.9643887Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_conjugate_num_type4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1438s] [ 16%] 2025-12-04T16:31:44.9644662Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_hex_num_type5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1458s] [ 16%] 2025-12-04T16:31:44.9645438Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_number_method_method_is_integer_num_type6_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1542s] [ 16%] 2025-12-04T16:31:44.9646117Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_attributes_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1909s] [ 16%] 2025-12-04T16:31:44.9646856Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_dtype_argument_to_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0939s] [ 16%] 2025-12-04T16:31:44.9647577Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_dtype_call_in_function_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0893s] [ 16%] 2025-12-04T16:31:44.9648210Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_fft_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2507s] [ 16%] 2025-12-04T16:31:44.9648902Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_linalg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1772s] [ 16%] 2025-12-04T16:31:44.9649555Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_meshgrid_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7280s] [ 16%] 2025-12-04T16:31:44.9650200Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_random_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0473s] [ 16%] 2025-12-04T16:31:44.9650850Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_numpy_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1144s] [ 16%] 2025-12-04T16:31:44.9651553Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_obj_eq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1642s] [ 16%] 2025-12-04T16:31:44.9652213Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_obj_is_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1589s] [ 16%] 2025-12-04T16:31:44.9652894Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_ordered_dict_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0493s] [ 16%] 2025-12-04T16:31:44.9653657Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partial_across_graph_break_uninvoked_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1893s] [ 16%] 2025-12-04T16:31:44.9654357Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_UDF_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1921s] [ 16%] 2025-12-04T16:31:44.9655100Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_partials_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1372s] [ 17%] 2025-12-04T16:31:44.9655845Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_as_input_partials_mod_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4786s] [ 17%] 2025-12-04T16:31:44.9656700Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_args_and_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1450s] [ 17%] 2025-12-04T16:31:44.9657457Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2110s] [ 17%] 2025-12-04T16:31:44.9658221Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_mix_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2101s] [ 17%] 2025-12-04T16:31:44.9659024Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_graph_break_reconstruct_mix_no_source_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2255s] [ 17%] 2025-12-04T16:31:44.9659901Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___annotations___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1069s] [ 17%] 2025-12-04T16:31:44.9660650Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___builtins___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0903s] [ 17%] 2025-12-04T16:31:44.9661388Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___call___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1314s] [ 17%] 2025-12-04T16:31:44.9662117Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___class___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1311s] [ 17%] 2025-12-04T16:31:44.9662867Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___closure___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0881s] [ 17%] 2025-12-04T16:31:44.9663591Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___code___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0859s] [ 17%] 2025-12-04T16:31:44.9664371Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___defaults___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0871s] [ 17%] 2025-12-04T16:31:44.9665117Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___delattr___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1305s] [ 17%] 2025-12-04T16:31:44.9665839Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___dict___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1306s] [ 17%] 2025-12-04T16:31:44.9666569Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___dir___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1313s] [ 17%] 2025-12-04T16:31:44.9667319Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___doc___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.8916s] [ 17%] 2025-12-04T16:31:44.9668050Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___eq___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1333s] [ 17%] 2025-12-04T16:31:44.9668793Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___format___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1326s] [ 17%] 2025-12-04T16:31:44.9669500Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___ge___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1326s] [ 18%] 2025-12-04T16:31:44.9670232Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___get___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0903s] [ 18%] 2025-12-04T16:31:44.9671005Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___getattribute___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1324s] [ 18%] 2025-12-04T16:31:44.9671800Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___globals___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0898s] [ 18%] 2025-12-04T16:31:44.9672514Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___gt___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1326s] [ 18%] 2025-12-04T16:31:44.9673240Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___hash___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1338s] [ 18%] 2025-12-04T16:31:44.9673976Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___init___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1335s] [ 18%] 2025-12-04T16:31:44.9674742Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___init_subclass___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1333s] [ 18%] 2025-12-04T16:31:44.9675548Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___kwdefaults___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0899s] [ 18%] 2025-12-04T16:31:44.9676263Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___le___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1340s] [ 18%] 2025-12-04T16:31:44.9676984Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___lt___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1462s] [ 18%] 2025-12-04T16:31:44.9677719Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___module___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1454s] [ 18%] 2025-12-04T16:31:44.9678435Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___name___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0920s] [ 18%] 2025-12-04T16:31:44.9679166Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___ne___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1329s] [ 18%] 2025-12-04T16:31:44.9679919Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___new___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1339s] [ 18%] 2025-12-04T16:31:44.9680681Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___qualname___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0898s] [ 18%] 2025-12-04T16:31:44.9681420Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___reduce___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1308s] [ 18%] 2025-12-04T16:31:44.9682175Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___reduce_ex___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1314s] [ 18%] 2025-12-04T16:31:44.9682932Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___repr___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1315s] [ 18%] 2025-12-04T16:31:44.9683678Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___setattr___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1325s] [ 18%] 2025-12-04T16:31:44.9684419Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___sizeof___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1318s] [ 19%] 2025-12-04T16:31:44.9685128Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___str___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1318s] [ 19%] 2025-12-04T16:31:44.9685907Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr___subclasshook___dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1325s] [ 19%] 2025-12-04T16:31:44.9686622Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_args_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1321s] [ 19%] 2025-12-04T16:31:44.9687372Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_func_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1312s] [ 19%] 2025-12-04T16:31:44.9688111Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_attr_keywords_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1312s] [ 19%] 2025-12-04T16:31:44.9688812Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_hasattr_set_attr_dynamic_shapes <- test/dynamo/test_functions.py XFAIL [0.0122s] [ 19%] 2025-12-04T16:31:44.9689484Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_lambda_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0917s] [ 19%] 2025-12-04T16:31:44.9690193Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_recompilation_dynamic_shapes <- test/dynamo/test_functions.py PASSED [1.1066s] [ 19%] 2025-12-04T16:31:44.9690923Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_torch_op_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0906s] [ 19%] 2025-12-04T16:31:44.9691763Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_torch_op_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0899s] [ 19%] 2025-12-04T16:31:44.9692422Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0851s] [ 19%] 2025-12-04T16:31:44.9693108Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0901s] [ 19%] 2025-12-04T16:31:44.9693810Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_method_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3198s] [ 19%] 2025-12-04T16:31:44.9694523Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_partials_udf_kwarg_module_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3038s] [ 19%] 2025-12-04T16:31:44.9695167Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pop_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1683s] [ 19%] 2025-12-04T16:31:44.9695776Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pos_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.7256s] [ 19%] 2025-12-04T16:31:44.9696548Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pos_only_args_with_same_name_in_star_kwargs_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5374s] [ 19%] 2025-12-04T16:31:44.9697164Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_pow_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1328s] [ 19%] 2025-12-04T16:31:44.9697828Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_promote_types_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0916s] [ 19%] 2025-12-04T16:31:44.9698509Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_rand_inlined_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1243s] [ 20%] 2025-12-04T16:31:44.9699196Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_rand_tensor_partial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.5248s] [ 20%] 2025-12-04T16:31:44.9699817Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0825s] [ 20%] 2025-12-04T16:31:44.9700433Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1605s] [ 20%] 2025-12-04T16:31:44.9701105Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1192s] [ 20%] 2025-12-04T16:31:44.9701760Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1187s] [ 20%] 2025-12-04T16:31:44.9702523Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_graph_break_2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1111s] [ 20%] 2025-12-04T16:31:44.9703232Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_iterator_graph_break_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1117s] [ 20%] 2025-12-04T16:31:44.9703882Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_length_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0088s] [ 20%] 2025-12-04T16:31:44.9704686Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_with_index_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1123s] [ 20%] 2025-12-04T16:31:44.9705378Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_range_with_slice_index_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1151s] [ 20%] 2025-12-04T16:31:44.9706007Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2181s] [ 20%] 2025-12-04T16:31:44.9706746Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_initial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2066s] [ 20%] 2025-12-04T16:31:44.9707453Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_none_initial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0666s] [ 20%] 2025-12-04T16:31:44.9708120Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_single_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0699s] [ 20%] 2025-12-04T16:31:44.9708850Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_reduce_with_single_with_initial_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0837s] [ 20%] 2025-12-04T16:31:44.9709504Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_dict2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1172s] [ 20%] 2025-12-04T16:31:44.9710187Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_dict_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1191s] [ 20%] 2025-12-04T16:31:44.9710929Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_multiple_numpy_ndarray_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1716s] [ 20%] 2025-12-04T16:31:44.9711610Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_numpy_ndarray_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1577s] [ 20%] 2025-12-04T16:31:44.9712270Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_tuple1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1391s] [ 21%] 2025-12-04T16:31:44.9712915Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_return_tuple2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0944s] [ 21%] 2025-12-04T16:31:44.9713660Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_returning_recursive_func_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0493s] [ 21%] 2025-12-04T16:31:44.9714291Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_round_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0726s] [ 21%] 2025-12-04T16:31:44.9714909Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0845s] [ 21%] 2025-12-04T16:31:44.9715582Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_in_frozenset_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0945s] [ 21%] 2025-12-04T16:31:44.9716229Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_keys_view_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1357s] [ 21%] 2025-12-04T16:31:44.9716911Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_update_bytecode_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0953s] [ 21%] 2025-12-04T16:31:44.9717681Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_set_update_list_with_duplicated_items_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0955s] [ 21%] 2025-12-04T16:31:44.9718336Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_shape1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0860s] [ 21%] 2025-12-04T16:31:44.9718963Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_shape2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0857s] [ 21%] 2025-12-04T16:31:44.9719612Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_size_tuple_add_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0391s] [ 21%] 2025-12-04T16:31:44.9720237Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1209s] [ 21%] 2025-12-04T16:31:44.9720850Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1088s] [ 21%] 2025-12-04T16:31:44.9721507Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1486s] [ 21%] 2025-12-04T16:31:44.9722137Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0984s] [ 21%] 2025-12-04T16:31:44.9722750Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1506s] [ 21%] 2025-12-04T16:31:44.9723376Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice6_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1852s] [ 21%] 2025-12-04T16:31:44.9723997Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_slice_eq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1332s] [ 21%] 2025-12-04T16:31:44.9724639Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sliced_range_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0122s] [ 22%] 2025-12-04T16:31:44.9725416Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sorted_const_key_non_const_items_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1560s] [ 22%] 2025-12-04T16:31:44.9726142Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sourceless_build_method_type_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1192s] [ 22%] 2025-12-04T16:31:44.9726795Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_startswith_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1348s] [ 22%] 2025-12-04T16:31:44.9727392Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2371s] [ 22%] 2025-12-04T16:31:44.9728049Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0390s] [ 22%] 2025-12-04T16:31:44.9728796Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_with_start_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0378s] [ 22%] 2025-12-04T16:31:44.9729519Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_shortcut_with_start_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0374s] [ 22%] 2025-12-04T16:31:44.9730199Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_with_start_arg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2043s] [ 22%] 2025-12-04T16:31:44.9730871Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_sum_with_start_kwarg_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1990s] [ 22%] 2025-12-04T16:31:44.9731641Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_symbool_to_int_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1033s] [ 22%] 2025-12-04T16:31:44.9732273Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_dim_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0904s] [ 22%] 2025-12-04T16:31:44.9732990Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_element_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1039s] [ 22%] 2025-12-04T16:31:44.9733674Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_is_complex_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0902s] [ 22%] 2025-12-04T16:31:44.9734309Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_len_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1481s] [ 22%] 2025-12-04T16:31:44.9735004Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_new_with_shape_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0782s] [ 22%] 2025-12-04T16:31:44.9735676Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_new_with_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0762s] [ 22%] 2025-12-04T16:31:44.9736332Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_size_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0923s] [ 22%] 2025-12-04T16:31:44.9737084Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_size_indexed_by_symint_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1650s] [ 22%] 2025-12-04T16:31:44.9737732Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1752s] [ 22%] 2025-12-04T16:31:44.9738390Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1383s] [ 23%] 2025-12-04T16:31:44.9739032Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type4_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1351s] [ 23%] 2025-12-04T16:31:44.9739684Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type5_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1599s] [ 23%] 2025-12-04T16:31:44.9740326Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tensor_type_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1371s] [ 23%] 2025-12-04T16:31:44.9740948Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_to_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0462s] [ 23%] 2025-12-04T16:31:44.9741698Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_distributions_functions_dynamic_shapes <- test/dynamo/test_functions.py PASSED [51.3003s] [ 23%] 2025-12-04T16:31:44.9742355Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_from_numpy_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1220s] [ 23%] 2025-12-04T16:31:44.9743063Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_get_device_module_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2045s] [ 23%] 2025-12-04T16:31:44.9743770Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_size_as_dict_key_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.2225s] [ 23%] 2025-12-04T16:31:44.9744457Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_size_hasattr_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0937s] [ 23%] 2025-12-04T16:31:44.9745099Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_torch_source_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0395s] [ 23%] 2025-12-04T16:31:44.9745781Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_transpose_for_scores_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.3088s] [ 23%] 2025-12-04T16:31:44.9746403Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_truth_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0124s] [ 23%] 2025-12-04T16:31:44.9747015Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1189s] [ 23%] 2025-12-04T16:31:44.9747645Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1192s] [ 23%] 2025-12-04T16:31:44.9748335Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_contains_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1184s] [ 23%] 2025-12-04T16:31:44.9748969Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_iadd_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1362s] [ 23%] 2025-12-04T16:31:44.9749606Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_map_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1650s] [ 23%] 2025-12-04T16:31:44.9750243Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_tuple_sorted_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0905s] [ 23%] 2025-12-04T16:31:44.9750906Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_two_point_iter_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1293s] [ 23%] 2025-12-04T16:31:44.9751578Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unary_fold_op_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1916s] [ 24%] 2025-12-04T16:31:44.9752244Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unary_fold_op_seq_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0439s] [ 24%] 2025-12-04T16:31:44.9752877Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1704s] [ 24%] 2025-12-04T16:31:44.9753500Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1690s] [ 24%] 2025-12-04T16:31:44.9754138Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1581s] [ 24%] 2025-12-04T16:31:44.9754767Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex1_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1560s] [ 24%] 2025-12-04T16:31:44.9755414Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex2_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1549s] [ 24%] 2025-12-04T16:31:44.9756080Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_ex3_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1551s] [ 24%] 2025-12-04T16:31:44.9756751Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unpack_mutable_map_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0968s] [ 24%] 2025-12-04T16:31:44.9757438Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_unsqueeze_inplace_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.4255s] [ 24%] 2025-12-04T16:31:44.9758066Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_viamethod_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1174s] [ 24%] 2025-12-04T16:31:44.9758705Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_viatorch_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1186s] [ 24%] 2025-12-04T16:31:44.9759371Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_zip_longest_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.1327s] [ 24%] 2025-12-04T16:31:44.9760033Z dynamo/test_dynamic_shapes.py::DynamicShapesFunctionTests::test_zip_reconstruct_dynamic_shapes <- test/dynamo/test_functions.py PASSED [0.0918s] [ 24%] 2025-12-04T16:31:44.9760726Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_312_binary_slice_with_graph_break1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2034s] [ 24%] 2025-12-04T16:31:44.9761412Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_312_binary_slice_with_graph_break2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2347s] [ 24%] 2025-12-04T16:31:44.9762105Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_RAISE_VARARGS_0_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0004s] (Python 3.11+) [ 24%] 2025-12-04T16:31:44.9762723Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_T_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1976s] [ 24%] 2025-12-04T16:31:44.9763349Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_add_sizes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0936s] [ 24%] 2025-12-04T16:31:44.9763919Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_add_to_set_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1230s] [ 24%] 2025-12-04T16:31:44.9764547Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_anomaly_aot_autograd_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1047s] [ 25%] 2025-12-04T16:31:44.9765156Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_any_all_symnode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1977s] [ 25%] 2025-12-04T16:31:44.9765912Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_aot_autograd_propagate_unbacked_symints_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1859s] [ 25%] 2025-12-04T16:31:44.9766642Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_arange_length_with_float32_dtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2481s] [ 25%] 2025-12-04T16:31:44.9767314Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_argwhere_with_dynamic_shapes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.5057s] [ 25%] 2025-12-04T16:31:44.9767875Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assert_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1976s] [ 25%] 2025-12-04T16:31:44.9768504Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assert_size_stride_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0044s] [ 25%] 2025-12-04T16:31:44.9769222Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assigning_function_to_class_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1238s] [ 25%] 2025-12-04T16:31:44.9769952Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assigning_function_to_object_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0990s] [ 25%] 2025-12-04T16:31:44.9770619Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_assume_32_bit_indexing_dynamic_shapes <- test/dynamo/test_misc.py PASSED [6.2768s] [ 25%] 2025-12-04T16:31:44.9771362Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backend_match_guard_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8669s] [ 25%] 2025-12-04T16:31:44.9772050Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backend_match_guard_multi_threads_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2721s] [ 25%] 2025-12-04T16:31:44.9772806Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_backward_deterministic_mode_mismatch_warning_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1791s] [ 25%] 2025-12-04T16:31:44.9773383Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_boolarg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3659s] [ 25%] 2025-12-04T16:31:44.9774032Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_bound_shape_checks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2627s] [ 25%] 2025-12-04T16:31:44.9774678Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_build_tuple_unpack_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3353s] [ 25%] 2025-12-04T16:31:44.9775365Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builder_for_class_with_metaclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0930s] [ 25%] 2025-12-04T16:31:44.9775950Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_abs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3264s] [ 25%] 2025-12-04T16:31:44.9776605Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symbool_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0569s] [ 25%] 2025-12-04T16:31:44.9777251Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symfloat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0550s] [ 25%] 2025-12-04T16:31:44.9777905Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_bool_on_symint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0539s] [ 26%] 2025-12-04T16:31:44.9778571Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_complex_args_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0903s] [ 26%] 2025-12-04T16:31:44.9779194Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_complex_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0733s] [ 26%] 2025-12-04T16:31:44.9779821Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0813s] [ 26%] 2025-12-04T16:31:44.9780518Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_str_on_user_defined_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0431s] [ 26%] 2025-12-04T16:31:44.9781273Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_subclasses_as_method_on_class_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0438s] [ 26%] 2025-12-04T16:31:44.9782001Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_builtin_subclasses_as_method_on_var_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0788s] [ 26%] 2025-12-04T16:31:44.9782735Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_call_parent_non_class_methods_from_child_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3208s] [ 26%] 2025-12-04T16:31:44.9783325Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_callpacked_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3289s] [ 26%] 2025-12-04T16:31:44.9783975Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cannot_trace_mark_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0142s] [ 26%] 2025-12-04T16:31:44.9784714Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cannot_trace_mark_dynamic_safe_unreached_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0987s] [ 26%] 2025-12-04T16:31:44.9785270Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cast_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0937s] [ 26%] 2025-12-04T16:31:44.9785923Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cat_unbacked_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1297s] [ 26%] 2025-12-04T16:31:44.9786537Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_catch_watchings1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0734s] [ 26%] 2025-12-04T16:31:44.9787167Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_catch_watchings2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0735s] [ 26%] 2025-12-04T16:31:44.9787923Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_captured_by_existing_func_but_not_root_frame_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7297s] [ 26%] 2025-12-04T16:31:44.9788517Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_output1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0534s] [ 26%] 2025-12-04T16:31:44.9789165Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cell_output2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1012s] [ 26%] 2025-12-04T16:31:44.9790052Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_assert_error_at_runtime_when_predicate_false_and_message_has_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0324s] [ 26%] 2025-12-04T16:31:44.9790938Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_assert_error_at_runtime_when_predicate_true_and_message_has_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0571s] [ 27%] 2025-12-04T16:31:44.9791719Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0878s] [ 27%] 2025-12-04T16:31:44.9792526Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_has_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0884s] [ 27%] 2025-12-04T16:31:44.9793387Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0913s] [ 27%] 2025-12-04T16:31:44.9794214Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_constant_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0941s] [ 27%] 2025-12-04T16:31:44.9795093Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_compiles_when_predicate_true_constant_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0932s] [ 27%] 2025-12-04T16:31:44.9795904Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0442s] [ 27%] 2025-12-04T16:31:44.9796763Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_has_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0424s] [ 27%] 2025-12-04T16:31:44.9797654Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0418s] [ 27%] 2025-12-04T16:31:44.9798535Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_constant_and_message_None_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0415s] [ 27%] 2025-12-04T16:31:44.9799443Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_raises_at_runtime_when_predicate_false_constant_and_message_has_no_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0415s] [ 27%] 2025-12-04T16:31:44.9800084Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_check_simplification_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1532s] [ 27%] 2025-12-04T16:31:44.9800686Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_binop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1104s] [ 27%] 2025-12-04T16:31:44.9801333Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_duner_flags_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1939s] [ 27%] 2025-12-04T16:31:44.9801946Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_duner_mro_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1003s] [ 27%] 2025-12-04T16:31:44.9802630Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_class_has_instancecheck_method_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0749s] [ 27%] 2025-12-04T16:31:44.9803247Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_clone_sparse_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1877s] [ 27%] 2025-12-04T16:31:44.9803905Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1094s] [ 27%] 2025-12-04T16:31:44.9804813Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_with_cond_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5149s] [ 27%] 2025-12-04T16:31:44.9805544Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_out_of_scope_cell_with_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3287s] [ 27%] 2025-12-04T16:31:44.9806172Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_recompiles_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2469s] [ 28%] 2025-12-04T16:31:44.9806897Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_with_mutation_and_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1022s] [ 28%] 2025-12-04T16:31:44.9807577Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_closure_write_across_functions_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0552s] [ 28%] 2025-12-04T16:31:44.9808190Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3250s] [ 28%] 2025-12-04T16:31:44.9808872Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_neq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3248s] [ 28%] 2025-12-04T16:31:44.9809505Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_tuple_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2059s] [ 28%] 2025-12-04T16:31:44.9810163Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_tuple_neq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2137s] [ 28%] 2025-12-04T16:31:44.9810834Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_shapes_with_constant_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2216s] [ 28%] 2025-12-04T16:31:44.9811598Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compare_tensor_with_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0238s] [ 28%] 2025-12-04T16:31:44.9812343Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compilation_metrics_size_limit_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8341s] [ 28%] 2025-12-04T16:31:44.9813012Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_compiled_class_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1433s] [ 28%] 2025-12-04T16:31:44.9813580Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1194s] [ 28%] 2025-12-04T16:31:44.9814165Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_export_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1756s] [ 28%] 2025-12-04T16:31:44.9814815Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_export_single_arg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1127s] [ 28%] 2025-12-04T16:31:44.9815398Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_nested_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1776s] [ 28%] 2025-12-04T16:31:44.9816087Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_runtime_assert_generation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7200s] [ 28%] 2025-12-04T16:31:44.9816763Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_side_effects_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1197s] [ 28%] 2025-12-04T16:31:44.9817405Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cond_with_quantization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5889s] [ 28%] 2025-12-04T16:31:44.9818107Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_conditional_list_comp_in_context_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2088s] [ 28%] 2025-12-04T16:31:44.9818747Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_config_getattr_default_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2149s] [ 28%] 2025-12-04T16:31:44.9819325Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_config_obj_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2571s] [ 29%] 2025-12-04T16:31:44.9820048Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_const_dict_variable_python_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0039s] [ 29%] 2025-12-04T16:31:44.9820665Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_constant_getattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0112s] [ 29%] 2025-12-04T16:31:44.9821354Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_constant_hasattr_returns_bool_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0390s] [ 29%] 2025-12-04T16:31:44.9822281Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_fancy_ctor1_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] (https://github.com/pytorch/pytorch/issues/99726) [ 29%] 2025-12-04T16:31:44.9822970Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_fancy_ctor2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3901s] [ 29%] 2025-12-04T16:31:44.9823645Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_cross_entropy_loss_simple_ctor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3362s] [ 29%] 2025-12-04T16:31:44.9824260Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_custom_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0948s] [ 29%] 2025-12-04T16:31:44.9824891Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_custom_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1855s] [ 29%] 2025-12-04T16:31:44.9825559Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_access_in_inference_mode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1546s] [ 29%] 2025-12-04T16:31:44.9826213Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_ptr_graph_break_aten_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0654s] [ 29%] 2025-12-04T16:31:44.9826874Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_data_ptr_graph_break_builtin_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0842s] [ 29%] 2025-12-04T16:31:44.9827490Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0638s] [ 29%] 2025-12-04T16:31:44.9828121Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_fields_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2368s] [ 29%] 2025-12-04T16:31:44.9828764Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dataclass_local_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0841s] [ 29%] 2025-12-04T16:31:44.9829424Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_default_args_device_dtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0460s] [ 29%] 2025-12-04T16:31:44.9830054Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_default_dtype_change_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2567s] [ 29%] 2025-12-04T16:31:44.9830661Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_defaultdict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0927s] [ 29%] 2025-12-04T16:31:44.9831307Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deque_append_left_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1259s] [ 29%] 2025-12-04T16:31:44.9831890Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deque_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1402s] [ 29%] 2025-12-04T16:31:44.9832533Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_derpy_nn_module_usage_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1293s] [ 30%] 2025-12-04T16:31:44.9833122Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1516s] [ 30%] 2025-12-04T16:31:44.9833777Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_descriptor_side_effect_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0751s] [ 30%] 2025-12-04T16:31:44.9834517Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_deterministic_algorithms_mutated_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0723s] [ 30%] 2025-12-04T16:31:44.9835103Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dictcomp_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0645s] [ 30%] 2025-12-04T16:31:44.9835687Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dim_order_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5901s] [ 30%] 2025-12-04T16:31:44.9836283Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_disable_flag_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0043s] [ 30%] 2025-12-04T16:31:44.9836935Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dtypes_no_graphbreaks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3884s] [ 30%] 2025-12-04T16:31:44.9837537Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_methods_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2161s] [ 30%] 2025-12-04T16:31:44.9838215Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0725s] [ 30%] 2025-12-04T16:31:44.9838932Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0778s] [ 30%] 2025-12-04T16:31:44.9839602Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0836s] [ 30%] 2025-12-04T16:31:44.9840290Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining4_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0838s] [ 30%] 2025-12-04T16:31:44.9840962Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_new_function_inlining_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1620s] [ 30%] 2025-12-04T16:31:44.9841576Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dunder_weakref_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0706s] [ 30%] 2025-12-04T16:31:44.9842276Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_duplicate_graph_break_log_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9850s] [ 30%] 2025-12-04T16:31:44.9842879Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_one_hot_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1855s] [ 30%] 2025-12-04T16:31:44.9843539Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_shapes_as_strided_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1459s] [ 30%] 2025-12-04T16:31:44.9844231Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_dynamic_override_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0750s] [ 30%] 2025-12-04T16:31:44.9844960Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_dynamic_override_regex_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0775s] [ 31%] 2025-12-04T16:31:44.9845889Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_force_parameter_static_shapes_and_property_static_shapes_override_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2945s] [ 31%] 2025-12-04T16:31:44.9846597Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1590s] [ 31%] 2025-12-04T16:31:44.9847219Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_int_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0476s] [ 31%] 2025-12-04T16:31:44.9848003Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_precedence_over_int_specialization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1187s] [ 31%] 2025-12-04T16:31:44.9848656Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamic_sources_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0690s] [ 31%] 2025-12-04T16:31:44.9849301Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_cache_invalidate_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2593s] [ 31%] 2025-12-04T16:31:44.9850000Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_cache_move_to_front_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1403s] [ 31%] 2025-12-04T16:31:44.9850734Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_compiling_fake_tensor_to_vararg_int_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1377s] [ 31%] 2025-12-04T16:31:44.9851539Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_disabled_in_custom_op_kernels_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1395s] [ 31%] 2025-12-04T16:31:44.9852195Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_inside_custom_op_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2658s] [ 31%] 2025-12-04T16:31:44.9852866Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_min_operator_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0642s] [ 31%] 2025-12-04T16:31:44.9853536Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_dynamo_reset_clears_cache_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0924s] [ 31%] 2025-12-04T16:31:44.9854160Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_empty_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1818s] [ 31%] 2025-12-04T16:31:44.9854772Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_as_dict_key_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2026s] [ 31%] 2025-12-04T16:31:44.9855462Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_as_dict_key_with_overloaded_str_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1977s] [ 31%] 2025-12-04T16:31:44.9856045Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_guards_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0724s] [ 31%] 2025-12-04T16:31:44.9856641Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_method_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7095s] [ 31%] 2025-12-04T16:31:44.9857295Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_no_graphbreaks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0948s] [ 31%] 2025-12-04T16:31:44.9857904Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_enum_subclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0726s] [ 31%] 2025-12-04T16:31:44.9858547Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_error_on_nested_fx_trace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0971s] [ 32%] 2025-12-04T16:31:44.9859165Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_error_on_recompile_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1257s] [ 32%] 2025-12-04T16:31:44.9859894Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_escaping_closure_var_with_backward_hook_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0806s] [ 32%] 2025-12-04T16:31:44.9860611Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_escaping_closure_var_with_nonlocal_var_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0784s] [ 32%] 2025-12-04T16:31:44.9861428Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_existing_func_that_creates_capturing_nested_func_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0539s] [ 32%] 2025-12-04T16:31:44.9862105Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fail_on_recompile_error_message_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0056s] [ 32%] 2025-12-04T16:31:44.9862762Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_flat_name_to_original_fqn_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1757s] [ 32%] 2025-12-04T16:31:44.9863468Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_float_speculation_log_divergence_dynamic_shapes <- test/dynamo/test_misc.py PASSED [23.7157s] [ 32%] 2025-12-04T16:31:44.9864077Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0359s] [ 32%] 2025-12-04T16:31:44.9864728Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0355s] [ 32%] 2025-12-04T16:31:44.9865348Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fn_hasattr__name__3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0432s] [ 32%] 2025-12-04T16:31:44.9865908Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fold_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0924s] [ 32%] 2025-12-04T16:31:44.9866589Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_free_var_and_local_name_collision_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0558s] [ 32%] 2025-12-04T16:31:44.9867259Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_attr_access_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1568s] [ 32%] 2025-12-04T16:31:44.9867968Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_default_factory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9922s] [ 32%] 2025-12-04T16:31:44.9868689Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_default_value_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0786s] [ 32%] 2025-12-04T16:31:44.9869361Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_hashable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0842s] [ 32%] 2025-12-04T16:31:44.9870010Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dataclass_kw_only_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0559s] [ 32%] 2025-12-04T16:31:44.9870607Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozen_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0755s] [ 32%] 2025-12-04T16:31:44.9871260Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozenset_of_non_literals_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0149s] [ 32%] 2025-12-04T16:31:44.9871933Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_frozenset_torch_func_contains_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0971s] [ 33%] 2025-12-04T16:31:44.9872600Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_fullgraph_capture_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1100s] [ 33%] 2025-12-04T16:31:44.9873202Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_funcname_cache_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0042s] [ 33%] 2025-12-04T16:31:44.9873847Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_function_annotation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1335s] [ 33%] 2025-12-04T16:31:44.9874549Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_function_generic_alias_annotation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1316s] [ 33%] 2025-12-04T16:31:44.9875312Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_generate_tensor_from_list_of_numpy_primitive_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7736s] [ 33%] 2025-12-04T16:31:44.9876012Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_generate_trivial_abstract_impl_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0951s] [ 33%] 2025-12-04T16:31:44.9876654Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_attr_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0642s] [ 33%] 2025-12-04T16:31:44.9877270Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_cache_entry_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.8653s] [ 33%] 2025-12-04T16:31:44.9877931Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_custom_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0898s] [ 33%] 2025-12-04T16:31:44.9878603Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_get_instruction_source_311_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] [ 33%] 2025-12-04T16:31:44.9879199Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getattr_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0762s] [ 33%] 2025-12-04T16:31:44.9879942Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getattrvariable_as_python_constant_dynamic_shapes <- test/dynamo/test_misc.py PASSED [6.8472s] [ 33%] 2025-12-04T16:31:44.9880586Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_getset_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1026s] [ 33%] 2025-12-04T16:31:44.9881278Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_global_state_guard_serialization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0044s] [ 33%] 2025-12-04T16:31:44.9881846Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2603s] [ 33%] 2025-12-04T16:31:44.9882434Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_non_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1492s] [ 33%] 2025-12-04T16:31:44.9883006Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1349s] [ 33%] 2025-12-04T16:31:44.9883672Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_grad_state_mutated_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0752s] [ 33%] 2025-12-04T16:31:44.9884356Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_compilation_metrics_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3508s] [ 33%] 2025-12-04T16:31:44.9885104Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_compilation_metrics_on_failure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0686s] [ 34%] 2025-12-04T16:31:44.9885957Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_graph_break_correctly_when_passing_numpy_ndarray_to_torch_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4767s] [ 34%] 2025-12-04T16:31:44.9886581Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1071s] [ 34%] 2025-12-04T16:31:44.9887223Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1211s] [ 34%] 2025-12-04T16:31:44.9887902Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_shape_control_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2130s] [ 34%] 2025-12-04T16:31:44.9888578Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_failure_fn_tensor_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3824s] [ 34%] 2025-12-04T16:31:44.9889201Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_id_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0874s] [ 34%] 2025-12-04T16:31:44.9889866Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_is_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9969s] [ 34%] 2025-12-04T16:31:44.9890538Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_fn_by_name_and_value_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1757s] [ 34%] 2025-12-04T16:31:44.9891318Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_globals_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.6612s] [ 34%] 2025-12-04T16:31:44.9892012Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_inbuilt_nn_modules_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.4005s] [ 34%] 2025-12-04T16:31:44.9892645Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_nn_modules_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.4802s] [ 34%] 2025-12-04T16:31:44.9893289Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_filter_tensors_dynamic_shapes <- test/dynamo/test_misc.py PASSED [3.2857s] [ 34%] 2025-12-04T16:31:44.9893969Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_function_builder_with_cse_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0067s] [ 34%] 2025-12-04T16:31:44.9894664Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_size_oblivious_backed_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1136s] [ 34%] 2025-12-04T16:31:44.9895318Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_string_escaped_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0802s] [ 34%] 2025-12-04T16:31:44.9895992Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guard_sym_node_fstring_when_used_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2175s] [ 34%] 2025-12-04T16:31:44.9896654Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_cse_pass_multiple_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0071s] [ 34%] 2025-12-04T16:31:44.9897290Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_cse_pass_single_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0072s] [ 34%] 2025-12-04T16:31:44.9897961Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_guards_strip_function_call_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0036s] [ 35%] 2025-12-04T16:31:44.9898711Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hasattr_nn_module_guard_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1147s] [ 35%] 2025-12-04T16:31:44.9899332Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hash_getitem_slice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0036s] [ 35%] 2025-12-04T16:31:44.9899916Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_hash_hop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9348s] [ 35%] 2025-12-04T16:31:44.9900525Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1422s] [ 35%] 2025-12-04T16:31:44.9901151Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_module_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1755s] [ 35%] 2025-12-04T16:31:44.9901769Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_guarded_object_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1717s] [ 35%] 2025-12-04T16:31:44.9902393Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_of_nn_module_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1315s] [ 35%] 2025-12-04T16:31:44.9902984Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_id_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2212s] [ 35%] 2025-12-04T16:31:44.9903582Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1850s] [ 35%] 2025-12-04T16:31:44.9904188Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0774s] [ 35%] 2025-12-04T16:31:44.9904932Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_nn_mod3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1063s] [ 35%] 2025-12-04T16:31:44.9905608Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0151s] [ 35%] 2025-12-04T16:31:44.9906280Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2123s] [ 35%] 2025-12-04T16:31:44.9906992Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_if_cond_user_defined_object_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2790s] [ 35%] 2025-12-04T16:31:44.9907667Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_infer_unbacked_size_gt_zero_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0735s] [ 35%] 2025-12-04T16:31:44.9908272Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inference_mode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1095s] [ 35%] 2025-12-04T16:31:44.9908916Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inference_mode_param_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0938s] [ 35%] 2025-12-04T16:31:44.9909660Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_closure_not_loaded_by_parent_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0756s] [ 35%] 2025-12-04T16:31:44.9910482Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_closure_returned_by_another_function_and_captures_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7315s] [ 35%] 2025-12-04T16:31:44.9911128Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7107s] [ 36%] 2025-12-04T16:31:44.9911819Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_function_passed_as_arg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.1624s] [ 36%] 2025-12-04T16:31:44.9912464Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_dict_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0499s] [ 36%] 2025-12-04T16:31:44.9913168Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_func_jump_on_tensor_condition_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1994s] [ 36%] 2025-12-04T16:31:44.9913856Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_list_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0480s] [ 36%] 2025-12-04T16:31:44.9914505Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_local_dict_clear_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0933s] [ 36%] 2025-12-04T16:31:44.9915171Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_module_attr_dict_clear_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0951s] [ 36%] 2025-12-04T16:31:44.9915880Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inline_user_defined_dict_attr_clear_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1089s] [ 36%] 2025-12-04T16:31:44.9916513Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_desugaring_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1065s] [ 36%] 2025-12-04T16:31:44.9917096Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1083s] [ 36%] 2025-12-04T16:31:44.9917777Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_param_update_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0812s] [ 36%] 2025-12-04T16:31:44.9918440Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inplace_view_on_graph_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.5961s] [ 36%] 2025-12-04T16:31:44.9919385Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_input_cell_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0826s] [ 36%] 2025-12-04T16:31:44.9920315Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_bind_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4043s] [ 36%] 2025-12-04T16:31:44.9921069Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_bind_non_user_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3851s] [ 36%] 2025-12-04T16:31:44.9921818Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_inspect_signature_parameters_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1590s] [ 36%] 2025-12-04T16:31:44.9922494Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_int_comparisons_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0896s] [ 36%] 2025-12-04T16:31:44.9923261Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0932s] [ 36%] 2025-12-04T16:31:44.9924197Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_neg_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1382s] [ 36%] 2025-12-04T16:31:44.9925036Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6404s] [ 36%] 2025-12-04T16:31:44.9925673Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_comparisons_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0967s] [ 37%] 2025-12-04T16:31:44.9926378Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_int_shape_inplace_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1066s] [ 37%] 2025-12-04T16:31:44.9927087Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_intermediary_tensor_grad_access_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0944s] [ 37%] 2025-12-04T16:31:44.9927717Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_invalid_args_builtin_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0934s] [ 37%] 2025-12-04T16:31:44.9928329Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_compiling_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1638s] [ 37%] 2025-12-04T16:31:44.9928947Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_floating_point2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1443s] [ 37%] 2025-12-04T16:31:44.9929559Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_floating_point_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1451s] [ 37%] 2025-12-04T16:31:44.9930191Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1347s] [ 37%] 2025-12-04T16:31:44.9930772Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1449s] [ 37%] 2025-12-04T16:31:44.9931491Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_like2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0902s] [ 37%] 2025-12-04T16:31:44.9932086Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_is_tensor_like_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1171s] [ 37%] 2025-12-04T16:31:44.9932677Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_changes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1395s] [ 37%] 2025-12-04T16:31:44.9933320Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_changes_new_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1406s] [ 37%] 2025-12-04T16:31:44.9933910Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_item_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0683s] [ 37%] 2025-12-04T16:31:44.9934493Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iter_set_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1297s] [ 37%] 2025-12-04T16:31:44.9935071Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iter_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8122s] [ 37%] 2025-12-04T16:31:44.9935691Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_iterator_limit_dynamic_shapes <- test/dynamo/test_misc.py PASSED [4.0386s] [ 37%] 2025-12-04T16:31:44.9936425Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_symint_default_sum_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0818s] [ 37%] 2025-12-04T16:31:44.9937156Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_builtins_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6572s] [ 37%] 2025-12-04T16:31:44.9937944Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_default_sum_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2032s] [ 37%] 2025-12-04T16:31:44.9938656Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_kwargs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6437s] [ 38%] 2025-12-04T16:31:44.9939406Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_accumulate_tensors_user_defined_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5968s] [ 38%] 2025-12-04T16:31:44.9940189Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_groupby_pure_python_default_identify_func_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1693s] [ 38%] 2025-12-04T16:31:44.9940908Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_groupby_pure_python_key_func_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1662s] [ 38%] 2025-12-04T16:31:44.9941609Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_count_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2992s] [ 38%] 2025-12-04T16:31:44.9942269Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_cycle_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1213s] [ 38%] 2025-12-04T16:31:44.9942944Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_repeat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0784s] [ 38%] 2025-12-04T16:31:44.9943646Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_infinite_repeat_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0967s] [ 38%] 2025-12-04T16:31:44.9944323Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_default_end_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1101s] [ 38%] 2025-12-04T16:31:44.9945000Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_default_step_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1084s] [ 38%] 2025-12-04T16:31:44.9945651Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_islice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1090s] [ 38%] 2025-12-04T16:31:44.9946276Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_repeat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0786s] [ 38%] 2025-12-04T16:31:44.9946872Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_itertools_tee_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0875s] [ 38%] 2025-12-04T16:31:44.9947655Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_jacfwd_one_hot_dynamic_compile_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0777s] [ 38%] 2025-12-04T16:31:44.9948718Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_large_reduction_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0149s] [ 38%] 2025-12-04T16:31:44.9949341Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_linear_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.7371s] [ 38%] 2025-12-04T16:31:44.9950036Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_append_return_none_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0510s] [ 38%] 2025-12-04T16:31:44.9950619Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1399s] [ 38%] 2025-12-04T16:31:44.9951224Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_hasattr1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0710s] [ 38%] 2025-12-04T16:31:44.9951819Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_hasattr2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0441s] [ 38%] 2025-12-04T16:31:44.9952457Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iadd_side_effect_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0573s] [ 39%] 2025-12-04T16:31:44.9953083Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iadd_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1315s] [ 39%] 2025-12-04T16:31:44.9953758Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_iterator_contains_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0711s] [ 39%] 2025-12-04T16:31:44.9954344Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_mul_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0583s] [ 39%] 2025-12-04T16:31:44.9954937Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_list_slice_mul_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0574s] [ 39%] 2025-12-04T16:31:44.9955524Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_listcomp_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0697s] [ 39%] 2025-12-04T16:31:44.9956195Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_load_fast_and_clear_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1036s] [ 39%] 2025-12-04T16:31:44.9956860Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mandelbrot_numpy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.3525s] [ 39%] 2025-12-04T16:31:44.9957489Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_map_side_effects_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1282s] [ 39%] 2025-12-04T16:31:44.9958128Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_map_with_quantization_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8211s] [ 39%] 2025-12-04T16:31:44.9958787Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_dynamic_with_ranges_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0153s] [ 39%] 2025-12-04T16:31:44.9959368Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_static_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1248s] [ 39%] 2025-12-04T16:31:44.9960003Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mark_unbacked_strict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8870s] [ 39%] 2025-12-04T16:31:44.9960616Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_matmul1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1039s] [ 39%] 2025-12-04T16:31:44.9961244Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_min_max_over_iterable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2275s] [ 39%] 2025-12-04T16:31:44.9961884Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_complex_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0115s] [ 39%] 2025-12-04T16:31:44.9962490Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_deepcopy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3629s] [ 39%] 2025-12-04T16:31:44.9963125Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_module_not_callable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0712s] [ 39%] 2025-12-04T16:31:44.9963810Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mro_type_tensor_no_source_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1114s] [ 39%] 2025-12-04T16:31:44.9964978Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_multiple_inheritance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0870s] [ 40%] 2025-12-04T16:31:44.9965718Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_mutable_mapping_multiple_inheritance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1237s] [ 40%] 2025-12-04T16:31:44.9966334Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_named_parameters_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2731s] [ 40%] 2025-12-04T16:31:44.9966939Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0647s] [ 40%] 2025-12-04T16:31:44.9967529Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0780s] [ 40%] 2025-12-04T16:31:44.9968126Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1028s] [ 40%] 2025-12-04T16:31:44.9968789Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1545s] [ 40%] 2025-12-04T16:31:44.9969508Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_source_dynamic_attributes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0603s] [ 40%] 2025-12-04T16:31:44.9970265Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_sourceless_dynamic_attributes_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0502s] [ 40%] 2025-12-04T16:31:44.9970945Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_namedtuple_with_custom_getitem_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0822s] [ 40%] 2025-12-04T16:31:44.9971589Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nan_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0841s] [ 40%] 2025-12-04T16:31:44.9972281Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0607s] [ 40%] 2025-12-04T16:31:44.9972996Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_graphbreak_eq_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1267s] [ 40%] 2025-12-04T16:31:44.9973666Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ne_operator_with_custom_ne_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0854s] [ 40%] 2025-12-04T16:31:44.9974266Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_closure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2288s] [ 40%] 2025-12-04T16:31:44.9974928Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_closure_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1516s] [ 40%] 2025-12-04T16:31:44.9975606Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_dataclass_reconstruct_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1126s] [ 40%] 2025-12-04T16:31:44.9976333Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_frozen_dataclass_hashable_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1676s] [ 40%] 2025-12-04T16:31:44.9977103Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_function_resuming_with_correct_globals_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3039s] [ 40%] 2025-12-04T16:31:44.9977763Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_decorator_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2030s] [ 40%] 2025-12-04T16:31:44.9978390Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2498s] [ 41%] 2025-12-04T16:31:44.9979013Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_optimize_run_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3216s] [ 41%] 2025-12-04T16:31:44.9979665Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0484s] [ 41%] 2025-12-04T16:31:44.9980358Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_with_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0502s] [ 41%] 2025-12-04T16:31:44.9981072Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_try_with_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2874s] [ 41%] 2025-12-04T16:31:44.9981725Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_sequential_with_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0510s] [ 41%] 2025-12-04T16:31:44.9982320Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nested_wraps_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2278s] [ 41%] 2025-12-04T16:31:44.9983005Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nesteduserfunction_setattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0808s] [ 41%] 2025-12-04T16:31:44.9983613Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_new_with_int_list_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1298s] [ 41%] 2025-12-04T16:31:44.9984370Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_newly_constructed_tensor_attr_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0679s] [ 41%] 2025-12-04T16:31:44.9985027Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_functional_reduction_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0842s] [ 41%] 2025-12-04T16:31:44.9985639Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_module_getattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1483s] [ 41%] 2025-12-04T16:31:44.9986292Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_module_getattribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1185s] [ 41%] 2025-12-04T16:31:44.9986945Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_sequential_invocation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2058s] [ 41%] 2025-12-04T16:31:44.9987749Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_nn_sequential_invocation_reposition_indices_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1557s] [ 41%] 2025-12-04T16:31:44.9988400Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_error_on_nested_fx_trace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0976s] [ 41%] 2025-12-04T16:31:44.9989101Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_guard_for_unused_sym_node_fstring_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0987s] [ 41%] 2025-12-04T16:31:44.9989864Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_raise_guard_partial_constraint_across_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.5818s] [ 41%] 2025-12-04T16:31:44.9990652Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_no_raise_guard_partial_constraint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2539s] [ 41%] 2025-12-04T16:31:44.9991395Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_non_pt2_compliant_ops_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0539s] [ 41%] 2025-12-04T16:31:44.9992014Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_not_dynamic_scope_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0487s] [ 42%] 2025-12-04T16:31:44.9992569Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numel_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1083s] [ 42%] 2025-12-04T16:31:44.9993210Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_array_of_arrays_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2303s] [ 42%] 2025-12-04T16:31:44.9993811Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_as_global_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8873s] [ 42%] 2025-12-04T16:31:44.9994462Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_fallback_on_eager_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0409s] [ 42%] 2025-12-04T16:31:44.9995081Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_force_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1470s] [ 42%] 2025-12-04T16:31:44.9995668Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_gt_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8669s] [ 42%] 2025-12-04T16:31:44.9996286Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_int_constant_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1064s] [ 42%] 2025-12-04T16:31:44.9996868Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0849s] [ 42%] 2025-12-04T16:31:44.9997453Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_min_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.0554s] [ 42%] 2025-12-04T16:31:44.9998103Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1956s] [ 42%] 2025-12-04T16:31:44.9998881Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_graph_break_with_multiple_outputs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3051s] [ 42%] 2025-12-04T16:31:44.9999642Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ndarray_works_with_builtin_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0969s] [ 42%] 2025-12-04T16:31:45.0000237Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_no_raise_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.0068s] [ 42%] 2025-12-04T16:31:45.0000881Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_non_torch_dtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0165s] [ 42%] 2025-12-04T16:31:45.0001549Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_random_config_to_numpy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0417s] [ 42%] 2025-12-04T16:31:45.0002195Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_readonly_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0616s] [ 42%] 2025-12-04T16:31:45.0002876Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_recompilation_scalar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0963s] [ 42%] 2025-12-04T16:31:45.0003479Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_size_attr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0820s] [ 42%] 2025-12-04T16:31:45.0004097Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_subdtype_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0748s] [ 42%] 2025-12-04T16:31:45.0004900Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_take_along_axis_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2355s] [ 43%] 2025-12-04T16:31:45.0005512Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_tolist_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1250s] [ 43%] 2025-12-04T16:31:45.0006156Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_torch_operators_dynamic_shapes <- test/dynamo/test_misc.py PASSED [6.1435s] [ 43%] 2025-12-04T16:31:45.0006838Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ufunc_out_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0488s] [ 43%] 2025-12-04T16:31:45.0007488Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_ufunc_out_graph_break_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.1197s] [ 43%] 2025-12-04T16:31:45.0008091Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_unique_f16_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0514s] [ 43%] 2025-12-04T16:31:45.0008766Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_variable_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1112s] [ 43%] 2025-12-04T16:31:45.0009409Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_numpy_with_builtin_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1066s] [ 43%] 2025-12-04T16:31:45.0010098Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_classmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0438s] [ 43%] 2025-12-04T16:31:45.0010703Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_setattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2523s] [ 43%] 2025-12-04T16:31:45.0011435Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_object_staticmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0439s] [ 43%] 2025-12-04T16:31:45.0012074Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_onnx_shape_as_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2885s] [ 43%] 2025-12-04T16:31:45.0012692Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_optimize_on_module_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1040s] [ 43%] 2025-12-04T16:31:45.0013397Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ordered_dict_alias_reconstruct_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1080s] [ 43%] 2025-12-04T16:31:45.0014045Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_ordered_dict_move_to_end_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0866s] [ 43%] 2025-12-04T16:31:45.0014719Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_os_environ_get_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1964s] [ 43%] 2025-12-04T16:31:45.0015374Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_os_environ_set_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2221s] [ 43%] 2025-12-04T16:31:45.0016375Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variant_custom_op_dynamic_shapes <- test/dynamo/test_misc.py PASSED [13.8714s] [ 43%] 2025-12-04T16:31:45.0017300Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1745s] [ 43%] 2025-12-04T16:31:45.0018158Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_with_dynamic1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4670s] [ 44%] 2025-12-04T16:31:45.0018968Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_out_variants_with_resizing_on_graph_inputs_with_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3607s] [ 44%] 2025-12-04T16:31:45.0019634Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_outside_linear_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.7512s] [ 44%] 2025-12-04T16:31:45.0020289Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_overridden_getattribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1331s] [ 44%] 2025-12-04T16:31:45.0020952Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_packaging_version_parse_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0942s] [ 44%] 2025-12-04T16:31:45.0021508Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pair_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1318s] [ 44%] 2025-12-04T16:31:45.0022184Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_param_shape_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6818s] [ 44%] 2025-12-04T16:31:45.0022792Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_parameter_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.6666s] [ 44%] 2025-12-04T16:31:45.0023474Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_patched_builtin_functions_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2014s] [ 44%] 2025-12-04T16:31:45.0024159Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pep0479_convert_stopiteration_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0627s] [ 44%] 2025-12-04T16:31:45.0024786Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entries_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9571s] [ 44%] 2025-12-04T16:31:45.0025435Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entry_hit_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9692s] [ 44%] 2025-12-04T16:31:45.0026106Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_entry_miss_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9477s] [ 44%] 2025-12-04T16:31:45.0026794Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_precompile_fail_on_recompile_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0063s] [ 44%] 2025-12-04T16:31:45.0027436Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_proxy_frozen_dataclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9764s] [ 44%] 2025-12-04T16:31:45.0028108Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pt2_compliant_ops_are_allowed_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0759s] [ 44%] 2025-12-04T16:31:45.0028769Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pt2_compliant_overload_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1277s] [ 44%] 2025-12-04T16:31:45.0029415Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_pure_python_accumulate_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0859s] [ 44%] 2025-12-04T16:31:45.0030101Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_py_guards_mark_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7382s] [ 44%] 2025-12-04T16:31:45.0030694Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_python_slice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2138s] [ 44%] 2025-12-04T16:31:45.0031373Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_full_constraint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1111s] [ 45%] 2025-12-04T16:31:45.0032083Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_indirect_full_constraint_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1031s] [ 45%] 2025-12-04T16:31:45.0032822Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_partial_constraint_across_break_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.2771s] [ 45%] 2025-12-04T16:31:45.0033628Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_guard_partial_constraint_no_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1229s] [ 45%] 2025-12-04T16:31:45.0034805Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raise_on_backend_error_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0839s] [ 45%] 2025-12-04T16:31:45.0035388Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2659s] [ 45%] 2025-12-04T16:31:45.0036020Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_importerror1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0164s] [ 45%] 2025-12-04T16:31:45.0036656Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_raises_importerror2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0153s] [ 45%] 2025-12-04T16:31:45.0037271Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range___iter___dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0732s] [ 45%] 2025-12-04T16:31:45.0037900Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1233s] [ 45%] 2025-12-04T16:31:45.0038533Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_iter_guards_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.6486s] [ 45%] 2025-12-04T16:31:45.0039171Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_iter_side_effects_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0523s] [ 45%] 2025-12-04T16:31:45.0039793Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_range_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0928s] [ 45%] 2025-12-04T16:31:45.0040449Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_real_imag_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2807s] [ 45%] 2025-12-04T16:31:45.0041139Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_message_on_parameter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1903s] [ 45%] 2025-12-04T16:31:45.0041830Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_disable_1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2199s] [ 45%] 2025-12-04T16:31:45.0042466Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_disable_2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0036s] [ 45%] 2025-12-04T16:31:45.0043168Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recompile_on_global_state_change_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2097s] [ 45%] 2025-12-04T16:31:45.0043844Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_reconstruct_frozen_dataclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1505s] [ 45%] 2025-12-04T16:31:45.0044543Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_reconstruct_set_across_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1699s] [ 45%] 2025-12-04T16:31:45.0045212Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursion_depth_guards_dynamic_shapes <- test/dynamo/test_misc.py PASSED [34.9722s] [ 46%] 2025-12-04T16:31:45.0045923Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursive_inline_list_mutation_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0588s] [ 46%] 2025-12-04T16:31:45.0046608Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_recursive_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3632s] [ 46%] 2025-12-04T16:31:45.0047234Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_input_memory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0784s] [ 46%] 2025-12-04T16:31:45.0047886Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_module_memory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1255s] [ 46%] 2025-12-04T16:31:45.0048539Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_release_scope_memory_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0281s] [ 46%] 2025-12-04T16:31:45.0049124Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_remove_set_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0765s] [ 46%] 2025-12-04T16:31:45.0049823Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repeat_interleave_graphbreaks_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6638s] [ 46%] 2025-12-04T16:31:45.0050478Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_config_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1190s] [ 46%] 2025-12-04T16:31:45.0051255Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_input_mut_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.2338s] [ 46%] 2025-12-04T16:31:45.0051931Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_replay_side_effects_model_attr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.5942s] [ 46%] 2025-12-04T16:31:45.0052486Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8954s] [ 46%] 2025-12-04T16:31:45.0053240Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_repro_graph_breaks_in__get_item_by_idx_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1149s] [ 46%] 2025-12-04T16:31:45.0053869Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_restore_graphstate_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3392s] [ 46%] 2025-12-04T16:31:45.0054599Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_return_dict_with_graph_break_and_update_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1202s] [ 46%] 2025-12-04T16:31:45.0055241Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_return_nested_function_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1319s] [ 46%] 2025-12-04T16:31:45.0055995Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_returning_func_with_captured_func_and_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0435s] [ 46%] 2025-12-04T16:31:45.0056766Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_returning_nested_func_with_captured_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0426s] [ 46%] 2025-12-04T16:31:45.0057494Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_running_func_with_captured_func_and_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0431s] [ 46%] 2025-12-04T16:31:45.0058229Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_running_nested_func_with_captured_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0417s] [ 46%] 2025-12-04T16:31:45.0058896Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_runtime_assert_replacement_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0972s] [ 47%] 2025-12-04T16:31:45.0059507Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sample_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0766s] [ 47%] 2025-12-04T16:31:45.0060290Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_device_movement_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0035s] (Doesn't work with symints) [ 47%] 2025-12-04T16:31:45.0061098Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_int_list_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1978s] [ 47%] 2025-12-04T16:31:45.0061851Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_symint_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7966s] [ 47%] 2025-12-04T16:31:45.0062626Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_scalar_tensor_is_equivalent_to_symint_list_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2844s] [ 47%] 2025-12-04T16:31:45.0063284Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sequential_module_free_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.4131s] [ 47%] 2025-12-04T16:31:45.0063959Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_aliasing_recompiles_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4948s] [ 47%] 2025-12-04T16:31:45.0064645Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_custom_tensor_attribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0917s] [ 47%] 2025-12-04T16:31:45.0065251Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0808s] [ 47%] 2025-12-04T16:31:45.0065837Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_discard_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0732s] [ 47%] 2025-12-04T16:31:45.0066433Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_set_update_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1125s] [ 47%] 2025-12-04T16:31:45.0067057Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1633s] [ 47%] 2025-12-04T16:31:45.0067693Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1314s] [ 47%] 2025-12-04T16:31:45.0068349Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_setattr_mutation3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1320s] [ 47%] 2025-12-04T16:31:45.0069018Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_and_tuple_equality_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2215s] [ 47%] 2025-12-04T16:31:45.0069682Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_constructor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0040s] [ 47%] 2025-12-04T16:31:45.0070506Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_create_symbolic_sizes_strides_storage_offset_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0230s] [ 47%] 2025-12-04T16:31:45.0071160Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_empty_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0034s] [ 47%] 2025-12-04T16:31:45.0071928Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_divisible_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0310s] [ 48%] 2025-12-04T16:31:45.0072679Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_refinement_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0252s] [ 48%] 2025-12-04T16:31:45.0073410Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_evaluate_expr_replacement_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0299s] [ 48%] 2025-12-04T16:31:45.0074099Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_runtime_assert_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0132s] [ 48%] 2025-12-04T16:31:45.0074745Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_equal_unbacked_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0096s] [ 48%] 2025-12-04T16:31:45.0075382Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_no_recording_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0118s] [ 48%] 2025-12-04T16:31:45.0076141Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_env_recorded_function_fallback_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0031s] [ 48%] 2025-12-04T16:31:45.0076780Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_int_comparisons_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0977s] [ 48%] 2025-12-04T16:31:45.0077440Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_int_inplace_binops_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1032s] [ 48%] 2025-12-04T16:31:45.0078021Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0460s] [ 48%] 2025-12-04T16:31:45.0078617Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_shape_unpack_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0977s] [ 48%] 2025-12-04T16:31:45.0079368Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_side_effects_codegen_update_mutated_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.6758s] [ 48%] 2025-12-04T16:31:45.0079984Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_simple_set_usage_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1131s] [ 48%] 2025-12-04T16:31:45.0080566Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_size_dim_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1992s] [ 48%] 2025-12-04T16:31:45.0081143Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_size_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2996s] [ 48%] 2025-12-04T16:31:45.0081728Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_slice_input_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2704s] [ 48%] 2025-12-04T16:31:45.0082407Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_source_non_input_grad_access_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1049s] [ 48%] 2025-12-04T16:31:45.0083088Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sourceless_namedtuple_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0692s] [ 48%] 2025-12-04T16:31:45.0083814Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sparse_output_inductor_should_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1556s] [ 48%] 2025-12-04T16:31:45.0084415Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_storage_return_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0885s] [ 48%] 2025-12-04T16:31:45.0085009Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str___iter___dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0676s] [ 49%] 2025-12-04T16:31:45.0085633Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_assert1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1929s] [ 49%] 2025-12-04T16:31:45.0086251Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_assert2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4746s] [ 49%] 2025-12-04T16:31:45.0086905Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_return1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1571s] [ 49%] 2025-12-04T16:31:45.0087527Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_str_format_return2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1572s] [ 49%] 2025-12-04T16:31:45.0088123Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_stride_dim_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1831s] [ 49%] 2025-12-04T16:31:45.0088709Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_structseq1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0903s] [ 49%] 2025-12-04T16:31:45.0089295Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_structseq2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.1368s] [ 49%] 2025-12-04T16:31:45.0089953Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_super_after_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3770s] [ 49%] 2025-12-04T16:31:45.0090666Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_super_calling_with_metaclass_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2618s] [ 49%] 2025-12-04T16:31:45.0091367Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sym_and_terms_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1496s] [ 49%] 2025-12-04T16:31:45.0092132Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sym_constrain_range_on_replaced_unbacked_symbol_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9626s] [ 49%] 2025-12-04T16:31:45.0092931Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_as_device_kwarg_multi_gpu_dynamic_shapes <- test/dynamo/test_misc.py SKIPPED [0.0003s] (need multiple GPU) [ 49%] 2025-12-04T16:31:45.0093651Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_as_device_kwarg_non_strict_export_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0466s] [ 49%] 2025-12-04T16:31:45.0094374Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_copy_into_unbacked_slice_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.3199s] [ 49%] 2025-12-04T16:31:45.0095107Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_symint_fold_nontrivial_product_modulo_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7862s] [ 49%] 2025-12-04T16:31:45.0095698Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_sys_modules_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4688s] [ 49%] 2025-12-04T16:31:45.0096443Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tagging_tensors_mix_used_unused_structure_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2520s] [ 49%] 2025-12-04T16:31:45.0097087Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tagging_tensors_simple_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0969s] [ 49%] 2025-12-04T16:31:45.0097689Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor__iter___dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1238s] [ 49%] 2025-12-04T16:31:45.0098388Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_build_list_unpack_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1774s] [ 50%] 2025-12-04T16:31:45.0099039Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_ctor_list_of_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0611s] [ 50%] 2025-12-04T16:31:45.0099635Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_data_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1093s] [ 50%] 2025-12-04T16:31:45.0100225Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0619s] [ 50%] 2025-12-04T16:31:45.0100829Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1742s] [ 50%] 2025-12-04T16:31:45.0101421Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dict3_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0665s] [ 50%] 2025-12-04T16:31:45.0102118Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dot_grad_no_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2898s] [ 50%] 2025-12-04T16:31:45.0103043Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_dynamic_method_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7451s] [ 50%] 2025-12-04T16:31:45.0103731Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.8661s] [ 50%] 2025-12-04T16:31:45.0104583Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_interacts_with_numpy_ndarray_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4276s] [ 50%] 2025-12-04T16:31:45.0105219Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_is_contiguous_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1012s] [ 50%] 2025-12-04T16:31:45.0105853Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_item_capture_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1299s] [ 50%] 2025-12-04T16:31:45.0106580Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_item_no_capture_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1637s] [ 50%] 2025-12-04T16:31:45.0107174Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1268s] [ 50%] 2025-12-04T16:31:45.0107788Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_layout_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0878s] [ 50%] 2025-12-04T16:31:45.0108485Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_setattr_getset_descriptor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1340s] [ 50%] 2025-12-04T16:31:45.0109094Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tensor_types_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3372s] [ 50%] 2025-12-04T16:31:45.0109776Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_thread_local_setattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.9308s] [ 50%] 2025-12-04T16:31:45.0110359Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_0d_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0547s] [ 50%] 2025-12-04T16:31:45.0110947Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_1d_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0971s] [ 50%] 2025-12-04T16:31:45.0111514Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_dynamic_shapes <- test/dynamo/test_misc.py PASSED [1.8928s] [ 51%] 2025-12-04T16:31:45.0112120Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_float_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1053s] [ 51%] 2025-12-04T16:31:45.0112736Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_kd_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4865s] [ 51%] 2025-12-04T16:31:45.0113350Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_kd_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3616s] [ 51%] 2025-12-04T16:31:45.0113962Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tolist_scalar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0583s] [ 51%] 2025-12-04T16:31:45.0114582Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_top_package_import_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1032s] [ 51%] 2025-12-04T16:31:45.0115188Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0815s] [ 51%] 2025-12-04T16:31:45.0115836Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_nonnegative_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0198s] [ 51%] 2025-12-04T16:31:45.0116512Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_check_symbolic_shape_rel_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0815s] [ 51%] 2025-12-04T16:31:45.0117323Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_compile_ctx_on_forward_and_training_step_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0258s] [ 51%] 2025-12-04T16:31:45.0118031Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_distributions_lazy_property_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4803s] [ 51%] 2025-12-04T16:31:45.0118696Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_dtype_python_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0737s] [ 51%] 2025-12-04T16:31:45.0119345Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_dynamo_codegen_pow_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.8877s] [ 51%] 2025-12-04T16:31:45.0120010Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_generator_set_state_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2579s] [ 51%] 2025-12-04T16:31:45.0120772Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_guards_stack_frame_register_inlining_deep_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2619s] [ 51%] 2025-12-04T16:31:45.0121541Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_guards_stack_frame_register_inlining_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2442s] [ 51%] 2025-12-04T16:31:45.0122234Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_nn_parameter_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1111s] [ 51%] 2025-12-04T16:31:45.0122867Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_objects_as_keys_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0457s] [ 51%] 2025-12-04T16:31:45.0123573Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_package_working_with_trace_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2018s] [ 51%] 2025-12-04T16:31:45.0124190Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_seed_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0695s] [ 51%] 2025-12-04T16:31:45.0124776Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0938s] [ 52%] 2025-12-04T16:31:45.0125438Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_numel_dynamic_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0878s] [ 52%] 2025-12-04T16:31:45.0126051Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_size_numel_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0397s] [ 52%] 2025-12-04T16:31:45.0126709Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_torch_variable_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0956s] [ 52%] 2025-12-04T16:31:45.0127339Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_trace_ndarray_frame_2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1362s] [ 52%] 2025-12-04T16:31:45.0127980Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_trace_ndarray_frame_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1771s] [ 52%] 2025-12-04T16:31:45.0128711Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tracing_nested_py_tree_mixed_all_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2279s] [ 52%] 2025-12-04T16:31:45.0129306Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_class_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1403s] [ 52%] 2025-12-04T16:31:45.0129950Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_from_tuple_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4019s] [ 52%] 2025-12-04T16:31:45.0130546Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_hasattr_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0758s] [ 52%] 2025-12-04T16:31:45.0131285Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_iadd_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1190s] [ 52%] 2025-12-04T16:31:45.0131863Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_mul_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0613s] [ 52%] 2025-12-04T16:31:45.0132527Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tuple_mul_with_shape_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0922s] [ 52%] 2025-12-04T16:31:45.0133181Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_tying_union_new_syntax_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0739s] [ 52%] 2025-12-04T16:31:45.0133759Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_type_copy_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2141s] [ 52%] 2025-12-04T16:31:45.0134359Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_dict_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0655s] [ 52%] 2025-12-04T16:31:45.0134957Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_typevar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0661s] [ 52%] 2025-12-04T16:31:45.0135631Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_union_and_optional_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0759s] [ 52%] 2025-12-04T16:31:45.0136367Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_union_new_syntax_reconstruct_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.0434s] [ 52%] 2025-12-04T16:31:45.0137034Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_typing_variable_isinstance_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0963s] [ 53%] 2025-12-04T16:31:45.0137669Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_2d_expand_dynamic_shapes <- test/dynamo/test_misc.py PASSED [2.2430s] [ 53%] 2025-12-04T16:31:45.0138307Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_empty_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0867s] [ 53%] 2025-12-04T16:31:45.0138948Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_repeat_cat_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1265s] [ 53%] 2025-12-04T16:31:45.0139696Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_sources_scalar_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0525s] [ 53%] 2025-12-04T16:31:45.0140349Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_sources_tensor_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0749s] [ 53%] 2025-12-04T16:31:45.0140999Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_strict_mode_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0471s] [ 53%] 2025-12-04T16:31:45.0141633Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unbacked_symint_split_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2506s] [ 53%] 2025-12-04T16:31:45.0142333Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unhandled_exception_in_dynamo2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1560s] [ 53%] 2025-12-04T16:31:45.0143014Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unhandled_exception_in_dynamo_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0305s] [ 53%] 2025-12-04T16:31:45.0143687Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unique_consecutive_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0785s] [ 53%] 2025-12-04T16:31:45.0144255Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack4_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2329s] [ 53%] 2025-12-04T16:31:45.0144824Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack5_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2169s] [ 53%] 2025-12-04T16:31:45.0145509Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_unpack_tensor_shape_mismatch_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0934s] [ 53%] 2025-12-04T16:31:45.0146239Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_update_locals_and_stack_uses_shared_cache_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0553s] [ 53%] 2025-12-04T16:31:45.0146917Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_code_statically_known_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1484s] [ 53%] 2025-12-04T16:31:45.0147567Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_binop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0824s] [ 53%] 2025-12-04T16:31:45.0148214Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_class_name_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1695s] [ 53%] 2025-12-04T16:31:45.0148904Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_class_python_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1433s] [ 53%] 2025-12-04T16:31:45.0149516Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_iter_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.3237s] [ 53%] 2025-12-04T16:31:45.0150245Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_object_class_interaction_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0824s] [ 54%] 2025-12-04T16:31:45.0150890Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_setattr1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0826s] [ 54%] 2025-12-04T16:31:45.0151562Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_defined_setattr2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0789s] [ 54%] 2025-12-04T16:31:45.0152324Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_enum_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0765s] [ 54%] 2025-12-04T16:31:45.0153107Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_function_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1352s] [ 54%] 2025-12-04T16:31:45.0153918Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_function_variable_supports_type_abcmeta_argument_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0976s] [ 54%] 2025-12-04T16:31:45.0154548Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattr1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0908s] [ 54%] 2025-12-04T16:31:45.0155165Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattr2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1019s] [ 54%] 2025-12-04T16:31:45.0155788Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_getattribute_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1724s] [ 54%] 2025-12-04T16:31:45.0156387Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_user_property_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0850s] [ 54%] 2025-12-04T16:31:45.0157028Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_usr_cls_classmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1332s] [ 54%] 2025-12-04T16:31:45.0157663Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_usr_cls_staticmethod_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1339s] [ 54%] 2025-12-04T16:31:45.0158393Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_validate_outputs_unbacked_by_custom_op_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.4900s] [ 54%] 2025-12-04T16:31:45.0159084Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_validate_outputs_unbacked_dynamic_shapes <- test/dynamo/test_misc.py XFAIL [0.2301s] [ 54%] 2025-12-04T16:31:45.0159773Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_variable_access_in_exception_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0454s] [ 54%] 2025-12-04T16:31:45.0160504Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_variable_tracker_recursively_contains_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0807s] [ 54%] 2025-12-04T16:31:45.0161084Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_version_ci_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0034s] [ 54%] 2025-12-04T16:31:45.0161716Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_with_builtin_type_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.1143s] [ 54%] 2025-12-04T16:31:45.0162445Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_write_to_cells_with_name_shadowing_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.7420s] [ 54%] 2025-12-04T16:31:45.0163129Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_write_to_closures_in_inlining_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0957s] [ 54%] 2025-12-04T16:31:45.0163800Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_writes_to_cells_across_frames1_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0221s] [ 55%] 2025-12-04T16:31:45.0164471Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_writes_to_cells_across_frames2_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0626s] [ 55%] 2025-12-04T16:31:45.0165070Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.2479s] [ 55%] 2025-12-04T16:31:45.0165689Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_in_a_loop_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0814s] [ 55%] 2025-12-04T16:31:45.0166406Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_from_user_stop_iteration_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0476s] [ 55%] 2025-12-04T16:31:45.0167018Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_gen_and_from_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0859s] [ 55%] 2025-12-04T16:31:45.0167744Z dynamo/test_dynamic_shapes.py::DynamicShapesMiscTests::test_yield_send_to_subgenerator_graph_break_dynamic_shapes <- test/dynamo/test_misc.py PASSED [0.0047s] [ 55%] 2025-12-04T16:31:45.0168395Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_312_local_cell_overlap_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1560s] [ 55%] 2025-12-04T16:31:45.0168964Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_Size_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0695s] [ 55%] 2025-12-04T16:31:45.0169613Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_abc_setattr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0832s] [ 55%] 2025-12-04T16:31:45.0170241Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_add_complex_conj_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7947s] [ 55%] 2025-12-04T16:31:45.0170879Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_add_sub_alpha_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.1546s] [ 55%] 2025-12-04T16:31:45.0171600Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_addr_alpha_beta_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9202s] [ 55%] 2025-12-04T16:31:45.0172247Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_amp_foreach_fake_impl_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2131s] [ 55%] 2025-12-04T16:31:45.0173043Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_aot_autograd_runtime_wrapper_prologue_profiled_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4372s] [ 55%] 2025-12-04T16:31:45.0173809Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_as_strided_on_base_with_mutation_works_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2041s] [ 55%] 2025-12-04T16:31:45.0174537Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_as_strided_on_existing_view_banned_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1260s] [ 55%] 2025-12-04T16:31:45.0175208Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_attached_attribute_in_dir_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0027s] [ 55%] 2025-12-04T16:31:45.0175918Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_autograd_function_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1328s] [ 55%] 2025-12-04T16:31:45.0176598Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_avoid_dupe_specialization_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7831s] [ 55%] 2025-12-04T16:31:45.0177311Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batch_encoding_clone_inputs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0017s] [ 56%] 2025-12-04T16:31:45.0177944Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batch_norm_act_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3280s] [ 56%] 2025-12-04T16:31:45.0178563Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_batchnorm_e2e_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.9796s] [ 56%] 2025-12-04T16:31:45.0179255Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bigbird_unsqueeze_inplace_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6584s] [ 56%] 2025-12-04T16:31:45.0179882Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bitwise_op_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1356s] [ 56%] 2025-12-04T16:31:45.0180568Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_bitwise_print_precedence_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1855s] [ 56%] 2025-12-04T16:31:45.0181200Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_boxes_len_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1119s] [ 56%] 2025-12-04T16:31:45.0181867Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_build_map_unpack_with_call_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1217s] [ 56%] 2025-12-04T16:31:45.0182656Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_c_defined_metaclass_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (missing msgspec package) [ 56%] 2025-12-04T16:31:45.0183372Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_cells_unsupported_step_exception_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1029s] [ 56%] 2025-12-04T16:31:45.0184011Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_changing_stride_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2758s] [ 56%] 2025-12-04T16:31:45.0184680Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_chunk_reformer_ff_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7269s] [ 56%] 2025-12-04T16:31:45.0185302Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_class_member_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1713s] [ 56%] 2025-12-04T16:31:45.0185974Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_classmethod_with_slots_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0762s] [ 56%] 2025-12-04T16:31:45.0186622Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_clone_not_memory_dense_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1410s] [ 56%] 2025-12-04T16:31:45.0187325Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compilation_metrics_on_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0892s] [ 56%] 2025-12-04T16:31:45.0187971Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compile_complex_conj_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2398s] [ 56%] 2025-12-04T16:31:45.0188688Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compile_copy__int_overload_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1391s] [ 56%] 2025-12-04T16:31:45.0189377Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_compiled_module_truthiness_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0066s] [ 56%] 2025-12-04T16:31:45.0190021Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_const_dict_keyerror_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0792s] [ 57%] 2025-12-04T16:31:45.0190710Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_contains_range_constprop_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0606s] [ 57%] 2025-12-04T16:31:45.0191402Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_convert_boxes_to_pooler_format_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7819s] [ 57%] 2025-12-04T16:31:45.0192051Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_copy_weird_strides_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.2221s] [ 57%] 2025-12-04T16:31:45.0192774Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_create_rand_mask_from_inputs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [240.5822s] [ 57%] 2025-12-04T16:31:45.0193381Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dalle2_maybe_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0531s] [ 57%] 2025-12-04T16:31:45.0194109Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_data_attr_mutation_after_saved_for_bw_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3438s] [ 57%] 2025-12-04T16:31:45.0194749Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dataclass_in_module_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2560s] [ 57%] 2025-12-04T16:31:45.0195542Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dataclass_init_with_default_factory_with_inputs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4059s] [ 57%] 2025-12-04T16:31:45.0196568Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ddp_checkpoint_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0004s] (Failing with ncc update 2.25.1 : https://github.com/pytorch/pytorch/issues/147141) [ 57%] 2025-12-04T16:31:45.0197227Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dedup_global_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1888s] [ 57%] 2025-12-04T16:31:45.0197902Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_deferred_runtime_asserts_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1336s] [ 57%] 2025-12-04T16:31:45.0198492Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0374s] [ 57%] 2025-12-04T16:31:45.0199125Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_raises_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0171s] [ 57%] 2025-12-04T16:31:45.0199770Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delattr_return_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0382s] [ 57%] 2025-12-04T16:31:45.0200430Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delete_local_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0395s] [ 57%] 2025-12-04T16:31:45.0201143Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_deleted_compile_wrapper_segfault_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0522s] [ 57%] 2025-12-04T16:31:45.0201745Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delsubscr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0350s] [ 57%] 2025-12-04T16:31:45.0202388Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_delsubscr_raises_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0120s] [ 57%] 2025-12-04T16:31:45.0203064Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_detectron2_instances_cat_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3784s] [ 57%] 2025-12-04T16:31:45.0203859Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_disabling_unpack_hooks_within_compiled_region_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2424s] [ 58%] 2025-12-04T16:31:45.0204698Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_distributions_subclass_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2165s] [ 58%] 2025-12-04T16:31:45.0205335Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_do_paste_mask_dynamic_shapes <- test/dynamo/test_repros.py PASSED [12.0621s] [ 58%] 2025-12-04T16:31:45.0206036Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dont_aggressively_write_assert_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4568s] [ 58%] 2025-12-04T16:31:45.0206650Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dont_dce_rand_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9503s] [ 58%] 2025-12-04T16:31:45.0207287Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dropout_inline_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1499s] [ 58%] 2025-12-04T16:31:45.0208064Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shape_disable_duck_size_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1995s] [ 58%] 2025-12-04T16:31:45.0208777Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_double_not_equal_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3744s] [ 58%] 2025-12-04T16:31:45.0209457Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_float_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1378s] [ 58%] 2025-12-04T16:31:45.0210168Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_implicit_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0910s] [ 58%] 2025-12-04T16:31:45.0210841Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamic_shapes_right_side_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0822s] [ 58%] 2025-12-04T16:31:45.0211652Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_default_lru_cache_behavior_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0848s] [ 58%] 2025-12-04T16:31:45.0212429Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_disable_lru_cache_behavior_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0830s] [ 58%] 2025-12-04T16:31:45.0213326Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_set_recursion_limit_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (only 3.12, 3.13 affected by c recursion limit) [ 58%] 2025-12-04T16:31:45.0214261Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_dynamo_set_recursion_limit_usage_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0002s] (only 3.12, 3.13 affected by c recursion limit) [ 58%] 2025-12-04T16:31:45.0214859Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ellipsis_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6068s] [ 58%] 2025-12-04T16:31:45.0215676Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_embedding_backward_broadcasting_decomp_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2632s] [ 58%] 2025-12-04T16:31:45.0216427Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_graph_nested_calls_fullgraph_False_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0920s] [ 58%] 2025-12-04T16:31:45.0217179Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_graph_nested_calls_fullgraph_True_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0867s] [ 58%] 2025-12-04T16:31:45.0217869Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_list_contains_with_jump_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0897s] [ 58%] 2025-12-04T16:31:45.0218499Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_empty_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1886s] [ 59%] 2025-12-04T16:31:45.0219090Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_enum_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0958s] [ 59%] 2025-12-04T16:31:45.0219766Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ephemeral_module_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1568s] [ 59%] 2025-12-04T16:31:45.0220495Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_error_return_without_exception_set_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0121s] [ 59%] 2025-12-04T16:31:45.0221191Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exception_in_dynamo_handling_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0165s] [ 59%] 2025-12-04T16:31:45.0221814Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exec_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0387s] [ 59%] 2025-12-04T16:31:45.0222463Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_exec_wildcard_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0839s] [ 59%] 2025-12-04T16:31:45.0223242Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_export_vs_dynamo_for_multiheadattention_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.9561s] [ 59%] 2025-12-04T16:31:45.0224190Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_flip_bad_accuracy_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Skip this flip test for the moment. It is under investigation) [ 59%] 2025-12-04T16:31:45.0224867Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_for_loop_graph_break_before_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4222s] [ 59%] 2025-12-04T16:31:45.0225523Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_for_loop_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0924s] [ 59%] 2025-12-04T16:31:45.0226189Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_foreach_decomp_arg_names_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8977s] [ 59%] 2025-12-04T16:31:45.0227032Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_fsdp_set_input_mutation_applied_when_input_gets_no_gradients_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0016s] [ 59%] 2025-12-04T16:31:45.0227741Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_function_in_skipfiles_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0866s] [ 59%] 2025-12-04T16:31:45.0228364Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_functools_wraps_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0292s] [ 59%] 2025-12-04T16:31:45.0229203Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_gan_repro_trying_to_backward_through_the_graph_a_second_time_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7273s] [ 59%] 2025-12-04T16:31:45.0229847Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_generator_dealloc_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0534s] [ 59%] 2025-12-04T16:31:45.0230535Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_get_parameter_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0914s] [ 59%] 2025-12-04T16:31:45.0231160Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_get_type_hints_dynamic_shapes <- test/dynamo/test_repros.py PASSED [3.0746s] [ 59%] 2025-12-04T16:31:45.0231795Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_global_fn_mutation_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0806s] [ 59%] 2025-12-04T16:31:45.0232380Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1181s] [ 60%] 2025-12-04T16:31:45.0233167Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_mode_carrying_correct_state_after_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1407s] [ 60%] 2025-12-04T16:31:45.0233845Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_grad_references_cleared_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3981s] [ 60%] 2025-12-04T16:31:45.0234537Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_on_jit_isinstance_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0761s] [ 60%] 2025-12-04T16:31:45.0235299Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_on_jit_isinstance_pep585_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0744s] [ 60%] 2025-12-04T16:31:45.0235990Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_graph_break_unsupported_fake_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1567s] [ 60%] 2025-12-04T16:31:45.0236639Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_default_device_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1033s] [ 60%] 2025-12-04T16:31:45.0237310Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_fail_nested_tuple_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0512s] [ 60%] 2025-12-04T16:31:45.0237963Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_fail_tensor_bool_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.6459s] [ 60%] 2025-12-04T16:31:45.0238677Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_ordering_shape_fail_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0024s] [ 60%] 2025-12-04T16:31:45.0239361Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_same_frame_fail_message_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1723s] [ 60%] 2025-12-04T16:31:45.0240036Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_guard_with_tuple_mutation_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1248s] [ 60%] 2025-12-04T16:31:45.0240671Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hasattr_builtin_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1007s] [ 60%] 2025-12-04T16:31:45.0241318Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_bigbird_unsqueeze_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0546s] [ 60%] 2025-12-04T16:31:45.0241980Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_classinstantier_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2542s] [ 60%] 2025-12-04T16:31:45.0242643Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_gelu_inline_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2647s] [ 60%] 2025-12-04T16:31:45.0243280Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_model_output_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3415s] [ 60%] 2025-12-04T16:31:45.0243894Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_t5_forward_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.2532s] [ 60%] 2025-12-04T16:31:45.0244553Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_xsoftmax_inference_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2360s] [ 60%] 2025-12-04T16:31:45.0245213Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_hf_xsoftmax_training_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3084s] [ 61%] 2025-12-04T16:31:45.0245869Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_iadd_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0576s] [ 61%] 2025-12-04T16:31:45.0246545Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_incompatible_configs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0074s] [ 61%] 2025-12-04T16:31:45.0247179Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_indexing_with_list_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0584s] [ 61%] 2025-12-04T16:31:45.0247928Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_dynamic_shapes_broadcasting_dynamic_shapes <- test/dynamo/test_repros.py PASSED [225.7795s] [ 61%] 2025-12-04T16:31:45.0248960Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_no_recursionerror_on_for_loops_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 61%] 2025-12-04T16:31:45.0249644Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inductor_rng_default_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0622s] [ 61%] 2025-12-04T16:31:45.0250385Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inference_mode_dynamic_shapes_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6697s] [ 61%] 2025-12-04T16:31:45.0251117Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inlining_cornercase_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1026s] [ 61%] 2025-12-04T16:31:45.0251802Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_inplace_unsqueeze_input_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1973s] [ 61%] 2025-12-04T16:31:45.0252671Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_int_format_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Fails with incorrect result with fullgraph constraints) [ 61%] 2025-12-04T16:31:45.0253379Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_intermediate_leaf_requires_grad_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2259s] [ 61%] 2025-12-04T16:31:45.0254066Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_invalid_seq_unpack_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0428s] [ 61%] 2025-12-04T16:31:45.0254699Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_is_make_fx_tracing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0725s] [ 61%] 2025-12-04T16:31:45.0255361Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_is_symbolic_tracing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0737s] [ 61%] 2025-12-04T16:31:45.0255999Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_isinstance_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0587s] [ 61%] 2025-12-04T16:31:45.0256658Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_isinstance_storage_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1016s] [ 61%] 2025-12-04T16:31:45.0257267Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue111522_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0869s] [ 61%] 2025-12-04T16:31:45.0257909Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue111918_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1299s] [ 61%] 2025-12-04T16:31:45.0258528Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue114171_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3149s] [ 61%] 2025-12-04T16:31:45.0259137Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue126128_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9702s] [ 62%] 2025-12-04T16:31:45.0259753Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue134451_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1966s] [ 62%] 2025-12-04T16:31:45.0260432Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue1466_size_aot_autograd_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8392s] [ 62%] 2025-12-04T16:31:45.0261145Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue164247_backend_eager_dynamic_shapes <- test/dynamo/test_repros.py PASSED [5.7917s] [ 62%] 2025-12-04T16:31:45.0262135Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue164247_backend_inductor_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0016s] (Skip only in dynamic-shapes wrapper (known issue #157612)) [ 62%] 2025-12-04T16:31:45.0262730Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_issue175_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4768s] [ 62%] 2025-12-04T16:31:45.0263383Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_jit_script_defaults_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0887s] [ 62%] 2025-12-04T16:31:45.0264005Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_jit_trace_errors_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0023s] [ 62%] 2025-12-04T16:31:45.0264681Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_kwargs_out_list_variable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1372s] [ 62%] 2025-12-04T16:31:45.0265325Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_aliasing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0752s] [ 62%] 2025-12-04T16:31:45.0265920Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.4334s] [ 62%] 2025-12-04T16:31:45.0266569Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_not_found_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0196s] [ 62%] 2025-12-04T16:31:45.0267263Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_index_tensor_unsupported_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1467s] [ 62%] 2025-12-04T16:31:45.0267882Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_reverse_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5351s] [ 62%] 2025-12-04T16:31:45.0268522Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_list_self_reference_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0139s] [ 62%] 2025-12-04T16:31:45.0269148Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_listcomp_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1638s] [ 62%] 2025-12-04T16:31:45.0270075Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_longformer_chunk_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 62%] 2025-12-04T16:31:45.0270702Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_longtensor_list_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5019s] [ 62%] 2025-12-04T16:31:45.0271342Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_lru_cache_tracing_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.1005s] [ 62%] 2025-12-04T16:31:45.0271967Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maml_item_capture_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0016s] [ 62%] 2025-12-04T16:31:45.0272625Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maml_no_item_capture_dynamic_shapes <- test/dynamo/test_repros.py PASSED [2.3244s] [ 63%] 2025-12-04T16:31:45.0273714Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_many_overlapping_inputs_does_not_explode_guards_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0006s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 63%] 2025-12-04T16:31:45.0274386Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_many_views_with_mutation_dynamic_shapes <- test/dynamo/test_repros.py PASSED [13.4327s] [ 63%] 2025-12-04T16:31:45.0275053Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_map_with_multiple_args_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2659s] [ 63%] 2025-12-04T16:31:45.0275708Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_maybe_multiply_symint_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2655s] [ 63%] 2025-12-04T16:31:45.0276379Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_mem_leak_guards_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5188s] [ 63%] 2025-12-04T16:31:45.0277078Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_merge_criteria_processor_list1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2493s] [ 63%] 2025-12-04T16:31:45.0277775Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_merge_criteria_processor_list2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2445s] [ 63%] 2025-12-04T16:31:45.0278428Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_method_overriding_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0921s] [ 63%] 2025-12-04T16:31:45.0279070Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_module_in_skipfiles_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1684s] [ 63%] 2025-12-04T16:31:45.0279670Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_modules_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1991s] [ 63%] 2025-12-04T16:31:45.0280332Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_multi_dot_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1488s] [ 63%] 2025-12-04T16:31:45.0281070Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_multi_import_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0019s] (requires detectron2) [ 63%] 2025-12-04T16:31:45.0281684Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_named_buffers_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1603s] [ 63%] 2025-12-04T16:31:45.0282286Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nanmean_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1047s] [ 63%] 2025-12-04T16:31:45.0282963Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_negative_floor_div_solve_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1588s] [ 63%] 2025-12-04T16:31:45.0283614Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_negative_shape_guard_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3820s] [ 63%] 2025-12-04T16:31:45.0284346Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nested_while_loop_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1779s] [ 63%] 2025-12-04T16:31:45.0284982Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_callable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0381s] [ 63%] 2025-12-04T16:31:45.0285662Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_property_closure_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1191s] [ 63%] 2025-12-04T16:31:45.0286303Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_module_stack_bc_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1556s] [ 64%] 2025-12-04T16:31:45.0286966Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_param_freevar_codegen_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0102s] [ 64%] 2025-12-04T16:31:45.0287676Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parameter_ctor_graph_breaks_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0888s] [ 64%] 2025-12-04T16:31:45.0288318Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parameter_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1133s] [ 64%] 2025-12-04T16:31:45.0288951Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nn_parametrize_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1953s] [ 64%] 2025-12-04T16:31:45.0289563Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_grad_inline_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0788s] [ 64%] 2025-12-04T16:31:45.0290286Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_tracing_into_eval_frame_ctx_manager_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0645s] [ 64%] 2025-12-04T16:31:45.0290994Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_no_tracing_into_eval_frame_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0648s] [ 64%] 2025-12-04T16:31:45.0291761Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nonconst_issubclass_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0886s] [ 64%] 2025-12-04T16:31:45.0292492Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_not_rewrite_assert_for_other_errors_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0735s] [ 64%] 2025-12-04T16:31:45.0293109Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nullcontext1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0775s] [ 64%] 2025-12-04T16:31:45.0293727Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_nullcontext2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0774s] [ 64%] 2025-12-04T16:31:45.0294431Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_numpy_not_ndarray_recompiles_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2278s] [ 64%] 2025-12-04T16:31:45.0295088Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_numpy_tobytes_no_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2203s] [ 64%] 2025-12-04T16:31:45.0295803Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_odict_get_item_index_name_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0425s] [ 64%] 2025-12-04T16:31:45.0296610Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_dictconfig_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (missing omegaconf package) [ 64%] 2025-12-04T16:31:45.0297477Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_listconfig_contains_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0002s] (missing omegaconf package) [ 64%] 2025-12-04T16:31:45.0298158Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_omegaconf_listconfig_iter_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0968s] [ 64%] 2025-12-04T16:31:45.0298786Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_ones_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4067s] [ 64%] 2025-12-04T16:31:45.0299548Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optim_state_references_cleared_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3698s] [ 64%] 2025-12-04T16:31:45.0300197Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_deepcopy_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0945s] [ 65%] 2025-12-04T16:31:45.0300905Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_module_patched_init_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1577s] [ 65%] 2025-12-04T16:31:45.0302011Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_optimized_module_training_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0023s] [ 65%] 2025-12-04T16:31:45.0302772Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_os_fspath_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0507s] [ 65%] 2025-12-04T16:31:45.0303462Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_nested_cell_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1068s] [ 65%] 2025-12-04T16:31:45.0304298Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_nested_cell_tuple_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1429s] [ 65%] 2025-12-04T16:31:45.0305065Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_none_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0380s] [ 65%] 2025-12-04T16:31:45.0305749Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_overload_non_contiguous_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3659s] [ 65%] 2025-12-04T16:31:45.0306432Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_root_cell_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1213s] [ 65%] 2025-12-04T16:31:45.0307191Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_out_root_cell_tuple_shape_change_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1564s] [ 65%] 2025-12-04T16:31:45.0307893Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_output_aliases_intermediate_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3651s] [ 65%] 2025-12-04T16:31:45.0308675Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_overlapping_inputs_with_dynamic_shapes_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0020s] [ 65%] 2025-12-04T16:31:45.0309322Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_overwriting_params_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1537s] [ 65%] 2025-12-04T16:31:45.0310082Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partially_initialized_module_property_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0665s] [ 65%] 2025-12-04T16:31:45.0310929Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partitioner_activation_memory_budget_with_unbacked_symints_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.8008s] [ 65%] 2025-12-04T16:31:45.0311765Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_partitioner_cse_respects_mutation_boundaries_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0016s] [ 65%] 2025-12-04T16:31:45.0312437Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_pointless_graph_removal_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0746s] [ 65%] 2025-12-04T16:31:45.0313115Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_preserve_stride_with_clone_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3910s] [ 65%] 2025-12-04T16:31:45.0313731Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_primtorch_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0896s] [ 65%] 2025-12-04T16:31:45.0314394Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_primtorch_no_graph_break_dynamic_shapes <- test/dynamo/test_repros.py XFAIL [0.0313s] [ 66%] 2025-12-04T16:31:45.0315047Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_randint_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3063s] [ 66%] 2025-12-04T16:31:45.0326758Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_recursive_map_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1344s] [ 66%] 2025-12-04T16:31:45.0327554Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_eval_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7542s] [ 66%] 2025-12-04T16:31:45.0328223Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_min_chunk_len_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0646s] [ 66%] 2025-12-04T16:31:45.0328882Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_sorting_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4390s] [ 66%] 2025-12-04T16:31:45.0329522Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reformer_train_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.7007s] [ 66%] 2025-12-04T16:31:45.0330167Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_reinplacing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0107s] [ 66%] 2025-12-04T16:31:45.0330860Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_relative_import_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1119s] [ 66%] 2025-12-04T16:31:45.0331667Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_relative_import_no_modulename_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1069s] [ 66%] 2025-12-04T16:31:45.0332409Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_requires_grad_guards_with_grad_mode1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3399s] [ 66%] 2025-12-04T16:31:45.0333133Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_requires_grad_guards_with_grad_mode2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4853s] [ 66%] 2025-12-04T16:31:45.0333836Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1039s] [ 66%] 2025-12-04T16:31:45.0334566Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0931s] [ 66%] 2025-12-04T16:31:45.0335265Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_restricted_list_subclass3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1000s] [ 66%] 2025-12-04T16:31:45.0335987Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_mixed_grad_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1786s] [ 66%] 2025-12-04T16:31:45.0336695Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_scalar_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2363s] [ 66%] 2025-12-04T16:31:45.0337416Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_value_duplication_tensor_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2259s] [ 66%] 2025-12-04T16:31:45.0338049Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_return_weakref_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0963s] [ 66%] 2025-12-04T16:31:45.0338828Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_dont_change_bytecode_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1262s] [ 66%] 2025-12-04T16:31:45.0339476Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_noop_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2422s] [ 67%] 2025-12-04T16:31:45.0340150Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_with_msg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1848s] [ 67%] 2025-12-04T16:31:45.0340861Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_with_non_string_msg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1453s] [ 67%] 2025-12-04T16:31:45.0341536Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rewrite_assert_without_msg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0900s] [ 67%] 2025-12-04T16:31:45.0342182Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_rng_state_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1672s] [ 67%] 2025-12-04T16:31:45.0342807Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_seq_append_list_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2883s] [ 67%] 2025-12-04T16:31:45.0343541Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setattr_requires_grad_graph_breaks_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6794s] [ 67%] 2025-12-04T16:31:45.0344216Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_boolean_mask_diff_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4270s] [ 67%] 2025-12-04T16:31:45.0344862Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_tensor_prop_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2396s] [ 67%] 2025-12-04T16:31:45.0345613Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_setitem_tuple_boolean_mask_diff_dynamic_shapes <- test/dynamo/test_repros.py PASSED [1.0922s] [ 67%] 2025-12-04T16:31:45.0346432Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1152s] [ 67%] 2025-12-04T16:31:45.0350913Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sigmoid_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2497s] [ 67%] 2025-12-04T16:31:45.0351870Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_size_typematch_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0895s] [ 67%] 2025-12-04T16:31:45.0352808Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slice_into_list_mutable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0913s] [ 67%] 2025-12-04T16:31:45.0353767Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slicing_dynamic_shape_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1304s] [ 67%] 2025-12-04T16:31:45.0354951Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_slicing_dynamic_shape_setitem_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3087s] [ 67%] 2025-12-04T16:31:45.0355861Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1278s] [ 67%] 2025-12-04T16:31:45.0356793Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sort_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2463s] [ 67%] 2025-12-04T16:31:45.0357918Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_specialized_stride_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0401s] [ 67%] 2025-12-04T16:31:45.0359172Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_split_with_sizes_aot_autograd_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5810s] [ 67%] 2025-12-04T16:31:45.0360391Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_staticmethod_allow_in_graph_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0839s] [ 68%] 2025-12-04T16:31:45.0361671Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_stk_sdd_is_transposed_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2395s] [ 68%] 2025-12-04T16:31:45.0362913Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_stop_iteration_reconstruct_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0462s] [ 68%] 2025-12-04T16:31:45.0364024Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_str_isalnum_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0649s] [ 68%] 2025-12-04T16:31:45.0365124Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_string_format_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0653s] [ 68%] 2025-12-04T16:31:45.0366289Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_subclass_graph_output_repro_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2467s] [ 68%] 2025-12-04T16:31:45.0366933Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_classmethod_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0709s] [ 68%] 2025-12-04T16:31:45.0367703Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_classmethod_inheritance_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0693s] [ 68%] 2025-12-04T16:31:45.0368324Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_diamond_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0730s] [ 68%] 2025-12-04T16:31:45.0368977Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_in_staticmethod_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0393s] [ 68%] 2025-12-04T16:31:45.0369625Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_super_staticmethod_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0693s] [ 68%] 2025-12-04T16:31:45.0370345Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_swin_base_tensor_attr_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1573s] [ 68%] 2025-12-04T16:31:45.0370968Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symint_bitwise_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0930s] [ 68%] 2025-12-04T16:31:45.0371773Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symnode_is_not_op_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0818s] [ 68%] 2025-12-04T16:31:45.0372377Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_symnode_is_op_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0772s] [ 68%] 2025-12-04T16:31:45.0373124Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_sys_monitoring_dynamic_shapes <- test/dynamo/test_repros.py SKIPPED [0.0003s] (Requires Python 3.12+) [ 68%] 2025-12-04T16:31:45.0373747Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_data_kwarg_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0373s] [ 68%] 2025-12-04T16:31:45.0374418Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_isinstance_tuple_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0389s] [ 68%] 2025-12-04T16:31:45.0375059Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_item_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0773s] [ 68%] 2025-12-04T16:31:45.0375680Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_random_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2918s] [ 68%] 2025-12-04T16:31:45.0376469Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0016s] [ 69%] 2025-12-04T16:31:45.0377246Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1531s] [ 69%] 2025-12-04T16:31:45.0378034Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_aot_eager_func_name_func3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1579s] [ 69%] 2025-12-04T16:31:45.0378791Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0729s] [ 69%] 2025-12-04T16:31:45.0379598Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0743s] [ 69%] 2025-12-04T16:31:45.0380354Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_eager_func_name_func3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0753s] [ 69%] 2025-12-04T16:31:45.0381131Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func1_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0015s] [ 69%] 2025-12-04T16:31:45.0381919Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func2_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1783s] [ 69%] 2025-12-04T16:31:45.0382726Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_backend_inductor_func_name_func3_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1891s] [ 69%] 2025-12-04T16:31:45.0383451Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_set_data_mismatched_dtype_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1090s] [ 69%] 2025-12-04T16:31:45.0384066Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_split_dynamic_shapes <- test/dynamo/test_repros.py PASSED [95.4849s] [ 69%] 2025-12-04T16:31:45.0384768Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_split_within_device_cm_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.6028s] [ 69%] 2025-12-04T16:31:45.0385391Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tensor_uniform_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.9025s] [ 69%] 2025-12-04T16:31:45.0386022Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_threading_local_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0591s] [ 69%] 2025-12-04T16:31:45.0386698Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tokenization_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0812s] [ 69%] 2025-12-04T16:31:45.0387389Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_compile_in_compile_frame_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1379s] [ 69%] 2025-12-04T16:31:45.0388020Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_ops_aten_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0706s] [ 69%] 2025-12-04T16:31:45.0388646Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_tensor_ops_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0730s] [ 69%] 2025-12-04T16:31:45.0389341Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_tensor_ops_no_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0728s] [ 69%] 2025-12-04T16:31:45.0390050Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torch_variable_type_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0212s] [ 70%] 2025-12-04T16:31:45.0390657Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_torchname_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0401s] [ 70%] 2025-12-04T16:31:45.0391357Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_trace_functional_tensor_with_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5998s] [ 70%] 2025-12-04T16:31:45.0392005Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_tuple_enum_as_key_dict_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.5833s] [ 70%] 2025-12-04T16:31:45.0392617Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_typed_dict_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1045s] [ 70%] 2025-12-04T16:31:45.0393241Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_typed_dict_total_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0912s] [ 70%] 2025-12-04T16:31:45.0393926Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_udf_classes_reconstruction_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1427s] [ 70%] 2025-12-04T16:31:45.0394643Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unbacked_arange_in_bounds_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3431s] [ 70%] 2025-12-04T16:31:45.0395260Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unbind_copy_out_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1619s] [ 70%] 2025-12-04T16:31:45.0395958Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unpack_hooks_can_be_disabled_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2206s] [ 70%] 2025-12-04T16:31:45.0396677Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unpack_hooks_dont_run_during_tracing_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2199s] [ 70%] 2025-12-04T16:31:45.0397494Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unspecialized_nn_module_with_torch_variable_attribute_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2739s] [ 70%] 2025-12-04T16:31:45.0398240Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_unsqueeze_mul_strides_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1522s] [ 70%] 2025-12-04T16:31:45.0398941Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_custom_init_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0973s] [ 70%] 2025-12-04T16:31:45.0399712Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_custom_init_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1204s] [ 70%] 2025-12-04T16:31:45.0400356Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_ctor_ctx_manager_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0906s] [ 70%] 2025-12-04T16:31:45.0401003Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_defined_iter_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0565s] [ 70%] 2025-12-04T16:31:45.0401697Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_user_defined_object_callable_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0506s] [ 70%] 2025-12-04T16:31:45.0402378Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_validate_model_kwargs_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1659s] [ 70%] 2025-12-04T16:31:45.0403072Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_vc_bumped_in_inference_graph_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2003s] [ 70%] 2025-12-04T16:31:45.0403713Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_vdd_duplicate_error_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1328s] [ 71%] 2025-12-04T16:31:45.0404370Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_view_dtype_overload_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.2937s] [ 71%] 2025-12-04T16:31:45.0405284Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_callback_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.3077s] [ 71%] 2025-12-04T16:31:45.0405968Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_construction_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0860s] [ 71%] 2025-12-04T16:31:45.0406574Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_del_dynamic_shapes <- test/dynamo/test_repros.py PASSED [4.6041s] [ 71%] 2025-12-04T16:31:45.0407167Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0839s] [ 71%] 2025-12-04T16:31:45.0407792Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_proxy_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0638s] [ 71%] 2025-12-04T16:31:45.0408441Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_weakref_reconstruct_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1915s] [ 71%] 2025-12-04T16:31:45.0409108Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_while_loop_graph_break_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.0966s] [ 71%] 2025-12-04T16:31:45.0409918Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_while_loop_graph_break_inside_call_function_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.1473s] [ 71%] 2025-12-04T16:31:45.0410581Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_with_on_graph_break_inst_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4361s] [ 71%] 2025-12-04T16:31:45.0411362Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_with_on_graph_break_nested_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4422s] [ 71%] 2025-12-04T16:31:45.0412000Z dynamo/test_dynamic_shapes.py::DynamicShapesReproTests::test_zeros_out_dynamic_dynamic_shapes <- test/dynamo/test_repros.py PASSED [0.4115s] [ 71%] 2025-12-04T16:31:45.0412656Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_access_by_keys_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2940s] [ 71%] 2025-12-04T16:31:45.0413351Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_basicmodule1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1208s] [ 71%] 2025-12-04T16:31:45.0413996Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_basicmodule2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1027s] [ 71%] 2025-12-04T16:31:45.0414735Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_call_fn_with_non_const_inputs_safe_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.6112s] [ 71%] 2025-12-04T16:31:45.0415344Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_cfgmod_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1413s] [ 71%] 2025-12-04T16:31:45.0415983Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_children_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1353s] [ 71%] 2025-12-04T16:31:45.0416606Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_constloop_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1063s] [ 71%] 2025-12-04T16:31:45.0417366Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_call_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.3697s] [ 72%] 2025-12-04T16:31:45.0418092Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_call_super_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1708s] [ 72%] 2025-12-04T16:31:45.0418841Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_transpose_call_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1556s] [ 72%] 2025-12-04T16:31:45.0419638Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_conv_transpose_call_super_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1965s] [ 72%] 2025-12-04T16:31:45.0420260Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_densenet_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2829s] [ 72%] 2025-12-04T16:31:45.0420935Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_enumvalues_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2752s] [ 72%] 2025-12-04T16:31:45.0421556Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmember_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0986s] [ 72%] 2025-12-04T16:31:45.0422197Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmembercmp1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0904s] [ 72%] 2025-12-04T16:31:45.0422848Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_fnmembercmp2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0900s] [ 72%] 2025-12-04T16:31:45.0423507Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_forward_directly_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1413s] [ 72%] 2025-12-04T16:31:45.0424169Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_generation_tag_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0046s] [ 72%] 2025-12-04T16:31:45.0424812Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_hasattr_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1786s] [ 72%] 2025-12-04T16:31:45.0425527Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_inject_module_parameters_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2079s] [ 72%] 2025-12-04T16:31:45.0426132Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_intarg_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1032s] [ 72%] 2025-12-04T16:31:45.0426743Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_iseval1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0961s] [ 72%] 2025-12-04T16:31:45.0427368Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_iseval2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0900s] [ 72%] 2025-12-04T16:31:45.0428004Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_isnonelayer_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0869s] [ 72%] 2025-12-04T16:31:45.0428691Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_istraining1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0895s] [ 72%] 2025-12-04T16:31:45.0429328Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_istraining2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0898s] [ 72%] 2025-12-04T16:31:45.0429953Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_layerlist_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1204s] [ 72%] 2025-12-04T16:31:45.0430595Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module1_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.2544s] [ 73%] 2025-12-04T16:31:45.0431218Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module2_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0437s] [ 73%] 2025-12-04T16:31:45.0431860Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module4_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0363s] [ 73%] 2025-12-04T16:31:45.0432520Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module5_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0431s] [ 73%] 2025-12-04T16:31:45.0433157Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module6_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0417s] [ 73%] 2025-12-04T16:31:45.0433777Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module7_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0822s] [ 73%] 2025-12-04T16:31:45.0434522Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_bad_params_call_function_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1220s] [ 73%] 2025-12-04T16:31:45.0435214Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_bad_params_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0023s] [ 73%] 2025-12-04T16:31:45.0435905Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_kwargs_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1764s] [ 73%] 2025-12-04T16:31:45.0436625Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_no_cls_to_become_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1331s] [ 73%] 2025-12-04T16:31:45.0437386Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_lazy_module_speculation_log_divergence_dynamic_shapes <- test/dynamo/test_modules.py XFAIL [0.0467s] [ 73%] 2025-12-04T16:31:45.0438099Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_attribute_precedence_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1560s] [ 73%] 2025-12-04T16:31:45.0438869Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_call_module_with_static_forward_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1008s] [ 73%] 2025-12-04T16:31:45.0439540Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_class_method_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1726s] [ 73%] 2025-12-04T16:31:45.0440255Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_comparison_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1494s] [ 73%] 2025-12-04T16:31:45.0440973Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_forward_has_graph_break_dynamic_shapes <- test/dynamo/test_modules.py PASSED [1.2275s] [ 73%] 2025-12-04T16:31:45.0441675Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_guard_name_is_valid_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1626s] [ 73%] 2025-12-04T16:31:45.0442335Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_name_string_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0948s] [ 73%] 2025-12-04T16:31:45.0442988Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_property_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0966s] [ 73%] 2025-12-04T16:31:45.0443703Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_module_static_method_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1773s] [ 74%] 2025-12-04T16:31:45.0444374Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_moduledict_custom_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0925s] [ 74%] 2025-12-04T16:31:45.0445015Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_moduledict_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0892s] [ 74%] 2025-12-04T16:31:45.0445677Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_custom_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1392s] [ 74%] 2025-12-04T16:31:45.0446307Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2823s] [ 74%] 2025-12-04T16:31:45.0446985Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulelist_nested_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1750s] [ 74%] 2025-12-04T16:31:45.0447637Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulemethod1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1581s] [ 74%] 2025-12-04T16:31:45.0448351Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_modulemethod2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1576s] [ 74%] 2025-12-04T16:31:45.0448999Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_named_children_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1258s] [ 74%] 2025-12-04T16:31:45.0449671Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_module_setattr_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0654s] [ 74%] 2025-12-04T16:31:45.0450361Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_module_unspec_int_attr_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2831s] [ 74%] 2025-12-04T16:31:45.0451170Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_nn_moduledict_contains_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0739s] [ 74%] 2025-12-04T16:31:45.0451878Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameterdict_custom_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0759s] [ 74%] 2025-12-04T16:31:45.0452528Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameterdict_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0724s] [ 74%] 2025-12-04T16:31:45.0453178Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0951s] [ 74%] 2025-12-04T16:31:45.0453810Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0941s] [ 74%] 2025-12-04T16:31:45.0454444Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters3_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1149s] [ 74%] 2025-12-04T16:31:45.0455093Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters4_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1119s] [ 74%] 2025-12-04T16:31:45.0455761Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_parameters5_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1153s] [ 74%] 2025-12-04T16:31:45.0456414Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_self_mutating1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1298s] [ 74%] 2025-12-04T16:31:45.0457003Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_seq_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1211s] [ 75%] 2025-12-04T16:31:45.0457760Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_sequential_with_duplicated_module2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1719s] [ 75%] 2025-12-04T16:31:45.0458499Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_sequential_with_duplicated_module_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1614s] [ 75%] 2025-12-04T16:31:45.0459214Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_simple_torch_function_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0450s] [ 75%] 2025-12-04T16:31:45.0459871Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_stringmember_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0887s] [ 75%] 2025-12-04T16:31:45.0460500Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_submodules1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1536s] [ 75%] 2025-12-04T16:31:45.0461145Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_submodules2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1525s] [ 75%] 2025-12-04T16:31:45.0461749Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super1_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1046s] [ 75%] 2025-12-04T16:31:45.0462353Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super2_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1022s] [ 75%] 2025-12-04T16:31:45.0463064Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_super_class_method_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0799s] [ 75%] 2025-12-04T16:31:45.0463694Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_tensorlist_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.2096s] [ 75%] 2025-12-04T16:31:45.0464421Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_torch_function_with_closure_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0362s] [ 75%] 2025-12-04T16:31:45.0465109Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_torch_mangled_class_name_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.1097s] [ 75%] 2025-12-04T16:31:45.0465781Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_unsupportedmethod_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.4028s] [ 75%] 2025-12-04T16:31:45.0466499Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_unsupportedmodule_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.4105s] [ 75%] 2025-12-04T16:31:45.0467152Z dynamo/test_dynamic_shapes.py::DynamicShapesNNModuleTests::test_viamodulecall_dynamic_shapes <- test/dynamo/test_modules.py PASSED [0.0973s] [ 75%] 2025-12-04T16:31:45.0467915Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_access_class_method_from_user_class_attr_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0853s] [ 75%] 2025-12-04T16:31:45.0468671Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_access_class_method_from_user_class_builtin_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0775s] [ 75%] 2025-12-04T16:31:45.0469361Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_byte_tensor_does_not_crash_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0965s] [ 75%] 2025-12-04T16:31:45.0470156Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_capture_symbolic_tracing_simple_within_fake_mode_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1290s] [ 75%] 2025-12-04T16:31:45.0470950Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_capture_symbolic_tracing_within_fake_mode_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.1646s] [ 76%] 2025-12-04T16:31:45.0471675Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_free_variables_overlapping_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1937s] [ 76%] 2025-12-04T16:31:45.0472360Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_op_param_buffer_lifted_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2406s] [ 76%] 2025-12-04T16:31:45.0473135Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_args_mismatch_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0656s] [ 76%] 2025-12-04T16:31:45.0473951Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_return_multiple_tensors_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3384s] [ 76%] 2025-12-04T16:31:45.0474797Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_branch_return_non_tensor_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0362s] [ 76%] 2025-12-04T16:31:45.0475571Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_mismatch_return_length_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0704s] [ 76%] 2025-12-04T16:31:45.0476368Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_mismatch_return_tensor_meta_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0418s] [ 76%] 2025-12-04T16:31:45.0477110Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_missing_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0016s] [ 76%] 2025-12-04T16:31:45.0477863Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_non_list_operands_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0019s] [ 76%] 2025-12-04T16:31:45.0478670Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_non_tensor_operands_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0017s] [ 76%] 2025-12-04T16:31:45.0479425Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_raise_user_error_on_unsupported_pred_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0015s] [ 76%] 2025-12-04T16:31:45.0480116Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_cond_supported_pred_types_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.8093s] [ 76%] 2025-12-04T16:31:45.0480853Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_constraint_violation_error_messages_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2915s] [ 76%] 2025-12-04T16:31:45.0481522Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dataclass_input_output_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1449s] [ 76%] 2025-12-04T16:31:45.0482183Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dict_return_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1826s] [ 76%] 2025-12-04T16:31:45.0482869Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dict_return_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1944s] [ 76%] 2025-12-04T16:31:45.0483473Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_2_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0957s] [ 76%] 2025-12-04T16:31:45.0484148Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_2_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1081s] [ 76%] 2025-12-04T16:31:45.0485279Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1189s] [ 76%] 2025-12-04T16:31:45.0486057Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1236s] [ 77%] 2025-12-04T16:31:45.0486925Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1367s] [ 77%] 2025-12-04T16:31:45.0487654Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1321s] [ 77%] 2025-12-04T16:31:45.0488373Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_arg_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1225s] [ 77%] 2025-12-04T16:31:45.0489204Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1362s] [ 77%] 2025-12-04T16:31:45.0489945Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_output_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1463s] [ 77%] 2025-12-04T16:31:45.0490848Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_and_bypass_with_non_tensor_output_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1500s] [ 77%] 2025-12-04T16:31:45.0491553Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0962s] [ 77%] 2025-12-04T16:31:45.0492271Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dupes_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1072s] [ 77%] 2025-12-04T16:31:45.0492909Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamic_slicing_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3712s] [ 77%] 2025-12-04T16:31:45.0493591Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamic_slicing_simple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1076s] [ 77%] 2025-12-04T16:31:45.0494249Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamo_enum_in_tuple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0829s] [ 77%] 2025-12-04T16:31:45.0494926Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_dynamo_list_index_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0762s] [ 77%] 2025-12-04T16:31:45.0495526Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_empty_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0895s] [ 77%] 2025-12-04T16:31:45.0496180Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_enforce_equalities_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.0153s] [ 77%] 2025-12-04T16:31:45.0496925Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_compare_optimize_with_make_fx_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3992s] [ 77%] 2025-12-04T16:31:45.0497616Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_cond_in_aten_symbolic_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3990s] [ 77%] 2025-12-04T16:31:45.0498379Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_control_flow_with_getattr_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0799s] [ 77%] 2025-12-04T16:31:45.0499079Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_decomp_asserts_bad_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0016s] [ 77%] 2025-12-04T16:31:45.0499973Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_decomp_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2404s] [ 77%] 2025-12-04T16:31:45.0500864Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_defaults_ok_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.5248s] [ 78%] 2025-12-04T16:31:45.0501614Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_control_flow_error_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1071s] [ 78%] 2025-12-04T16:31:45.0502322Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_cleanup_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1044s] [ 78%] 2025-12-04T16:31:45.0503031Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_not_1_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0617s] [ 78%] 2025-12-04T16:31:45.0503763Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_dim_range_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2341s] [ 78%] 2025-12-04T16:31:45.0504369Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1636s] [ 78%] 2025-12-04T16:31:45.0505195Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_bypass_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1383s] [ 78%] 2025-12-04T16:31:45.0505939Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_bypass_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1367s] [ 78%] 2025-12-04T16:31:45.0506748Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_complex_reorder_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1914s] [ 78%] 2025-12-04T16:31:45.0507561Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_complex_reorder_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2083s] [ 78%] 2025-12-04T16:31:45.0508226Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_list_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1732s] [ 78%] 2025-12-04T16:31:45.0508960Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_graph_with_list_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1795s] [ 78%] 2025-12-04T16:31:45.0509607Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_identity_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0353s] [ 78%] 2025-12-04T16:31:45.0510552Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_masking_with_no_grad_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2631s] [ 78%] 2025-12-04T16:31:45.0511676Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_meta_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0929s] [ 78%] 2025-12-04T16:31:45.0512309Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_meta_val_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1831s] [ 78%] 2025-12-04T16:31:45.0512991Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_2_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1236s] [ 78%] 2025-12-04T16:31:45.0513728Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_2_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1327s] [ 78%] 2025-12-04T16:31:45.0514445Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1209s] [ 78%] 2025-12-04T16:31:45.0515199Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_mismatched_out_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1331s] [ 79%] 2025-12-04T16:31:45.0515977Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_module_specify_constraints_signature_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1723s] [ 79%] 2025-12-04T16:31:45.0516714Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_multi_dynamic_dim_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5322s] [ 79%] 2025-12-04T16:31:45.0517487Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_multi_dynamic_dim_unsafe_relationship_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5382s] [ 79%] 2025-12-04T16:31:45.0518217Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_nn_module_stack_patched_module_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0758s] [ 79%] 2025-12-04T16:31:45.0518901Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_no_raise_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1767s] [ 79%] 2025-12-04T16:31:45.0519672Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_no_tensor_computation_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0767s] [ 79%] 2025-12-04T16:31:45.0520343Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_pass_arg_by_name_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1618s] [ 79%] 2025-12-04T16:31:45.0521043Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_pass_arg_by_name_star_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2636s] [ 79%] 2025-12-04T16:31:45.0521720Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_persist_assert_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2805s] [ 79%] 2025-12-04T16:31:45.0522541Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_preserve_constraints_as_metadata_tensor_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1100s] [ 79%] 2025-12-04T16:31:45.0523308Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_preserves_nn_module_stack_for_get_attr_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2242s] [ 79%] 2025-12-04T16:31:45.0524043Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_guard_full_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1697s] [ 79%] 2025-12-04T16:31:45.0524780Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_guard_partial_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2024s] [ 79%] 2025-12-04T16:31:45.0525497Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_raise_on_relationship_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3342s] [ 79%] 2025-12-04T16:31:45.0526182Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_shape_control_flow_1_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1834s] [ 79%] 2025-12-04T16:31:45.0526899Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_specialized_int_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1632s] [ 79%] 2025-12-04T16:31:45.0527560Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_symbolic_shape_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0789s] [ 79%] 2025-12-04T16:31:45.0528270Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_and_empty_kwargs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1070s] [ 79%] 2025-12-04T16:31:45.0528994Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_None_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0533s] [ 79%] 2025-12-04T16:31:45.0529709Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_float_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0421s] [ 80%] 2025-12-04T16:31:45.0530474Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_tensor_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0596s] [ 80%] 2025-12-04T16:31:45.0531293Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_args_with_default_tuple_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0603s] [ 80%] 2025-12-04T16:31:45.0531959Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2351s] [ 80%] 2025-12-04T16:31:45.0532718Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_builtin_op_on_assume_constant_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1163s] [ 80%] 2025-12-04T16:31:45.0533475Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_branches_calling_methods_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5120s] [ 80%] 2025-12-04T16:31:45.0534205Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_closure_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.6035s] [ 80%] 2025-12-04T16:31:45.0534927Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_dynamic_shape_pred_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.8542s] [ 80%] 2025-12-04T16:31:45.0535671Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_cond_with_closed_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2138s] [ 80%] 2025-12-04T16:31:45.0536378Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_dict_values_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0955s] [ 80%] 2025-12-04T16:31:45.0537176Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1528s] [ 80%] 2025-12-04T16:31:45.0538089Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_multiarg_diff_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1020s] [ 80%] 2025-12-04T16:31:45.0538938Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_and_class_method_multiarg_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1857s] [ 80%] 2025-12-04T16:31:45.0539674Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_free_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1667s] [ 80%] 2025-12-04T16:31:45.0540409Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_global_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0147s] [ 80%] 2025-12-04T16:31:45.0541208Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_in_unspecialized_nn_module_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0904s] [ 80%] 2025-12-04T16:31:45.0541925Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_list_nonzero_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1187s] [ 80%] 2025-12-04T16:31:45.0542740Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_list_nonzero_free_function_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1155s] [ 80%] 2025-12-04T16:31:45.0543485Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_method_on_module_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1414s] [ 80%] 2025-12-04T16:31:45.0544275Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_method_on_module_invoke_twice_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1675s] [ 80%] 2025-12-04T16:31:45.0545027Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_none_control_flow_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0332s] [ 81%] 2025-12-04T16:31:45.0545872Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_none_control_flow_free_func_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0325s] [ 81%] 2025-12-04T16:31:45.0546644Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0399s] [ 81%] 2025-12-04T16:31:45.0547442Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_free_func_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0409s] [ 81%] 2025-12-04T16:31:45.0548209Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_none_control_flow_pos_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0400s] [ 81%] 2025-12-04T16:31:45.0548954Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_not_return_const_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0315s] [ 81%] 2025-12-04T16:31:45.0549675Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_constant_tuple_nonzero_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1154s] [ 81%] 2025-12-04T16:31:45.0550433Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_functools_wrapped_fn_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1213s] [ 81%] 2025-12-04T16:31:45.0551173Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_functools_wrapped_method_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1322s] [ 81%] 2025-12-04T16:31:45.0551896Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_and_empty_args_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1006s] [ 81%] 2025-12-04T16:31:45.0552541Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1692s] [ 81%] 2025-12-04T16:31:45.0553268Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_None_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0887s] [ 81%] 2025-12-04T16:31:45.0554046Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_float_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0747s] [ 81%] 2025-12-04T16:31:45.0554776Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_tensor_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0890s] [ 81%] 2025-12-04T16:31:45.0555510Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_kwargs_with_default_tuple_dynamic_shapes <- test/dynamo/test_export.py XFAIL [0.0885s] [ 81%] 2025-12-04T16:31:45.0556158Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_cond_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.4428s] [ 81%] 2025-12-04T16:31:45.0556874Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_zero_sized_tensor_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0434s] [ 81%] 2025-12-04T16:31:45.0557703Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_map_zero_sized_tensor_suppress_errors_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0426s] [ 81%] 2025-12-04T16:31:45.0558378Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_module_layer_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.6373s] [ 81%] 2025-12-04T16:31:45.0559073Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_nonzero_static_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1123s] [ 81%] 2025-12-04T16:31:45.0559852Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_shallow_list_copy_with_side_effects_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1024s] [ 82%] 2025-12-04T16:31:45.0560628Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_shallow_list_copy_wo_side_effects_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0756s] [ 82%] 2025-12-04T16:31:45.0561330Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_stack_trace_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1463s] [ 82%] 2025-12-04T16:31:45.0562015Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_symbool_inputs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.4306s] [ 82%] 2025-12-04T16:31:45.0562690Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_export_with_wrapped_fn_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1031s] [ 82%] 2025-12-04T16:31:45.0563395Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_exported_graph_serialization_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1709s] [ 82%] 2025-12-04T16:31:45.0564027Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_func_return_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2052s] [ 82%] 2025-12-04T16:31:45.0564708Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_func_return_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2246s] [ 82%] 2025-12-04T16:31:45.0565372Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_fx_pytree_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3022s] [ 82%] 2025-12-04T16:31:45.0566024Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_immutable_list_dict_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5062s] [ 82%] 2025-12-04T16:31:45.0566680Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_container_type_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2021s] [ 82%] 2025-12-04T16:31:45.0567317Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_global_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0694s] [ 82%] 2025-12-04T16:31:45.0568013Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_global_multiple_access_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0819s] [ 82%] 2025-12-04T16:31:45.0568690Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_nonlocal_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0644s] [ 82%] 2025-12-04T16:31:45.0569372Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_input_unused_nonlocal_ok_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0443s] [ 82%] 2025-12-04T16:31:45.0569993Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_contains_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1996s] [ 82%] 2025-12-04T16:31:45.0570651Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_not_contains_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1265s] [ 82%] 2025-12-04T16:31:45.0571367Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_unpack_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1536s] [ 82%] 2025-12-04T16:31:45.0572064Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_list_unpack_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1614s] [ 82%] 2025-12-04T16:31:45.0572756Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_map_cond_param_buffer_lifted_dynamic_shapes <- test/dynamo/test_export.py PASSED [1.6372s] [ 83%] 2025-12-04T16:31:45.0573483Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_mixed_real_and_fake_inputs_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.7659s] [ 83%] 2025-12-04T16:31:45.0574208Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_multiple_outputs_op_with_evaluator_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0550s] [ 83%] 2025-12-04T16:31:45.0574925Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_nested_cond_op_param_buffer_lifted_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3329s] [ 83%] 2025-12-04T16:31:45.0575606Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_2_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0823s] [ 83%] 2025-12-04T16:31:45.0576380Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_2_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0880s] [ 83%] 2025-12-04T16:31:45.0577068Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0819s] [ 83%] 2025-12-04T16:31:45.0577751Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_no_tensor_computation_fail_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0272s] [ 83%] 2025-12-04T16:31:45.0578394Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_not_functionalize_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1072s] [ 83%] 2025-12-04T16:31:45.0579152Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_param_buffer_safe_from_mutation_recurse_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0784s] [ 83%] 2025-12-04T16:31:45.0579890Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_param_buffer_safe_from_mutation_simple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0847s] [ 83%] 2025-12-04T16:31:45.0580591Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_pre_dispatch_simple_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0436s] [ 83%] 2025-12-04T16:31:45.0581293Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_for_out_dtype_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1560s] [ 83%] 2025-12-04T16:31:45.0582040Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_for_out_dtype_nested_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.7846s] [ 83%] 2025-12-04T16:31:45.0582746Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_higher_order_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1939s] [ 83%] 2025-12-04T16:31:45.0583481Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_predispatch_with_higher_order_nested_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3044s] [ 83%] 2025-12-04T16:31:45.0584206Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3257s] [ 83%] 2025-12-04T16:31:45.0584942Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_graph_break_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.4560s] [ 83%] 2025-12-04T16:31:45.0585668Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_inline_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2095s] [ 83%] 2025-12-04T16:31:45.0586396Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_preserve_fx_node_metadata_recompile_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.3653s] [ 83%] 2025-12-04T16:31:45.0587186Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_remove_redundant_dynamic_dim_in_error_message_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1007s] [ 84%] 2025-12-04T16:31:45.0588213Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_dict_container_inp_out_dynamic_shapes <- test/dynamo/test_export.py SKIPPED [0.0014s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 84%] 2025-12-04T16:31:45.0589161Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_dynamic_shapes <- test/dynamo/test_export.py SKIPPED [0.0012s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 84%] 2025-12-04T16:31:45.0590153Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_retracibility_nested_list_out_dynamic_shapes <- test/dynamo/test_export.py SKIPPED [0.0012s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 84%] 2025-12-04T16:31:45.0590815Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_round_dynamic_shapes_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2608s] [ 84%] 2025-12-04T16:31:45.0591582Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_strict_fake_tensor_prop_real_tensors_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0935s] [ 84%] 2025-12-04T16:31:45.0592249Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_subclass_parameters_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1728s] [ 84%] 2025-12-04T16:31:45.0592862Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_sum_param_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0891s] [ 84%] 2025-12-04T16:31:45.0593480Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_sym_contains_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1242s] [ 84%] 2025-12-04T16:31:45.0594281Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5111s] [ 84%] 2025-12-04T16:31:45.0595178Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_with_parameters_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.8012s] [ 84%] 2025-12-04T16:31:45.0595804Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_symbool_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1151s] [ 84%] 2025-12-04T16:31:45.0596496Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_torch_inference_mode_ctx_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2179s] [ 84%] 2025-12-04T16:31:45.0597143Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_trivial_constraint_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.5247s] [ 84%] 2025-12-04T16:31:45.0597942Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_uncaptured_higher_order_op_error_not_suppresed_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.0638s] [ 84%] 2025-12-04T16:31:45.0598669Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_untracked_inputs_in_constraints_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1361s] [ 84%] 2025-12-04T16:31:45.0599411Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_and_out_different_shape_on_test_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.1935s] [ 84%] 2025-12-04T16:31:45.0600250Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_and_out_different_shape_on_test_with_aten_graph_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2097s] [ 84%] 2025-12-04T16:31:45.0600957Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2003s] [ 84%] 2025-12-04T16:31:45.0601759Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2233s] [ 84%] 2025-12-04T16:31:45.0602507Z dynamo/test_dynamic_shapes.py::DynamicShapesExportTests::test_zeroes_in_new_shape_scalar_out_permute_dynamic_shapes <- test/dynamo/test_export.py PASSED [0.2139s] [ 85%] 2025-12-04T16:31:45.0603146Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1237s] [ 85%] 2025-12-04T16:31:45.0603819Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2289s] [ 85%] 2025-12-04T16:31:45.0604705Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_capi_call3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1246s] [ 85%] 2025-12-04T16:31:45.0605371Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1361s] [ 85%] 2025-12-04T16:31:45.0606046Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0739s] [ 85%] 2025-12-04T16:31:45.0606694Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2941s] [ 85%] 2025-12-04T16:31:45.0607431Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow4_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1738s] [ 85%] 2025-12-04T16:31:45.0608090Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_control_flow5_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3877s] [ 85%] 2025-12-04T16:31:45.0608757Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_duck_size_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1568s] [ 85%] 2025-12-04T16:31:45.0609441Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_getitem_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0748s] [ 85%] 2025-12-04T16:31:45.0610088Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_kwarg_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0896s] [ 85%] 2025-12-04T16:31:45.0610810Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_order_dependence_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2559s] [ 85%] 2025-12-04T16:31:45.0611650Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_dynamic_zero_inference_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1092s] [ 85%] 2025-12-04T16:31:45.0612365Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_enumerate_not_break_graph_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.0933s] [ 85%] 2025-12-04T16:31:45.0613028Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_extended_args_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [3.2592s] [ 85%] 2025-12-04T16:31:45.0613709Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_graph_break_on_item_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2171s] [ 85%] 2025-12-04T16:31:45.0614426Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2382s] [ 85%] 2025-12-04T16:31:45.0615128Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3355s] [ 85%] 2025-12-04T16:31:45.0615886Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_indirect_unsupported3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2376s] [ 85%] 2025-12-04T16:31:45.0616533Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_multigraph_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1635s] [ 86%] 2025-12-04T16:31:45.0617214Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_no_graph_break_on_item_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1061s] [ 86%] 2025-12-04T16:31:45.0617894Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_pop_after_resume_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2442s] [ 86%] 2025-12-04T16:31:45.0618542Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_range_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1365s] [ 86%] 2025-12-04T16:31:45.0619232Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_range_iter_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1635s] [ 86%] 2025-12-04T16:31:45.0619929Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_restore_state_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2198s] [ 86%] 2025-12-04T16:31:45.0620559Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2097s] [ 86%] 2025-12-04T16:31:45.0621199Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3207s] [ 86%] 2025-12-04T16:31:45.0621825Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3212s] [ 86%] 2025-12-04T16:31:45.0622466Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume4_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3544s] [ 86%] 2025-12-04T16:31:45.0623137Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume5_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2368s] [ 86%] 2025-12-04T16:31:45.0623818Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_freevars_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2969s] [ 86%] 2025-12-04T16:31:45.0624486Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_paths_join_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.5601s] [ 86%] 2025-12-04T16:31:45.0625180Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_tuple_iterator_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2936s] [ 86%] 2025-12-04T16:31:45.0625875Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.4184s] [ 86%] 2025-12-04T16:31:45.0626547Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3101s] [ 86%] 2025-12-04T16:31:45.0627267Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_resume_with_no_grad3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2084s] [ 86%] 2025-12-04T16:31:45.0627914Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_stack_state1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2632s] [ 86%] 2025-12-04T16:31:45.0628558Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_stack_state2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3783s] [ 86%] 2025-12-04T16:31:45.0629186Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start1_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1640s] [ 87%] 2025-12-04T16:31:45.0629804Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start2_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2766s] [ 87%] 2025-12-04T16:31:45.0630435Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start3_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1464s] [ 87%] 2025-12-04T16:31:45.0631087Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_start4_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.2306s] [ 87%] 2025-12-04T16:31:45.0631795Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_tuple_iterator_mutate_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.1432s] [ 87%] 2025-12-04T16:31:45.0632483Z dynamo/test_dynamic_shapes.py::DynamicShapesSubGraphTests::test_tuple_iterator_return_dynamic_shapes <- test/dynamo/test_subgraphs.py PASSED [0.3711s] [ 87%] 2025-12-04T16:31:45.0633231Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_access_module_attr_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1255s] [ 87%] 2025-12-04T16:31:45.0634054Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_allow_python_side_effects_utility_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0906s] [ 87%] 2025-12-04T16:31:45.0634834Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_constants_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1869s] [ 87%] 2025-12-04T16:31:45.0635640Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_global_num_adds_guard_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0973s] [ 87%] 2025-12-04T16:31:45.0636377Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_global_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1449s] [ 87%] 2025-12-04T16:31:45.0637121Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_input_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1465s] [ 87%] 2025-12-04T16:31:45.0637874Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_numpy_number_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2351s] [ 87%] 2025-12-04T16:31:45.0638644Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_tracked_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3612s] [ 87%] 2025-12-04T16:31:45.0639425Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_tracked_nested_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3708s] [ 87%] 2025-12-04T16:31:45.0640200Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_global_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2697s] [ 87%] 2025-12-04T16:31:45.0641024Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_global_nested_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0942s] [ 87%] 2025-12-04T16:31:45.0641820Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_untracked_nonlocal_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3575s] [ 87%] 2025-12-04T16:31:45.0642732Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_capture_value_created_in_subgraph_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1487s] [ 87%] 2025-12-04T16:31:45.0643532Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_concat_unbacked_shape_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4877s] [ 87%] 2025-12-04T16:31:45.0644313Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_branches_no_arguments_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3401s] [ 88%] 2025-12-04T16:31:45.0645154Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_branches_no_arguments_no_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2753s] [ 88%] 2025-12-04T16:31:45.0645967Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_free_variable_in_both_branches_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2953s] [ 88%] 2025-12-04T16:31:45.0646794Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_graph_break_in_one_branch_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2697s] [ 88%] 2025-12-04T16:31:45.0647550Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_pytree_operands_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.8312s] [ 88%] 2025-12-04T16:31:45.0648405Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_pytree_operands_with_non_tensor_leaves_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0388s] [ 88%] 2025-12-04T16:31:45.0649221Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_side_effect_in_one_branches_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0782s] [ 88%] 2025-12-04T16:31:45.0649963Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4226s] [ 88%] 2025-12-04T16:31:45.0650800Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_subgraph_name_is_valid_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4123s] [ 88%] 2025-12-04T16:31:45.0651663Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_with_constant_pred_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1651s] [ 88%] 2025-12-04T16:31:45.0652442Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_cond_with_empty_operands_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4391s] [ 88%] 2025-12-04T16:31:45.0653255Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_dynamic_shapes_over_vmap_batch_size_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.6720s] [ 88%] 2025-12-04T16:31:45.0653946Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_enum_arg_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2265s] [ 88%] 2025-12-04T16:31:45.0654738Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_error_message_sane_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0290s] [ 88%] 2025-12-04T16:31:45.0655569Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fallback_on_graph_break_complicated_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1492s] [ 88%] 2025-12-04T16:31:45.0656374Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fallback_on_graph_break_simple_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0509s] [ 88%] 2025-12-04T16:31:45.0657104Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_flat_list_output_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2526s] [ 88%] 2025-12-04T16:31:45.0657889Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_fn_with_kwargs_in_torch_ops_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2209s] [ 88%] 2025-12-04T16:31:45.0658693Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_freevars_as_inputs_to_wrap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2668s] [ 88%] 2025-12-04T16:31:45.0659439Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_grad_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1342s] [ 88%] 2025-12-04T16:31:45.0660172Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2209s] [ 89%] 2025-12-04T16:31:45.0660966Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_incorrect_type_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1148s] [ 89%] 2025-12-04T16:31:45.0661736Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_no_hints_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0120s] [ 89%] 2025-12-04T16:31:45.0662558Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hints_wrapper_pytree_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0026s] [ 89%] 2025-12-04T16:31:45.0663254Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hooks_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1257s] [ 89%] 2025-12-04T16:31:45.0664002Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_hopify_generic_wrap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9968s] [ 89%] 2025-12-04T16:31:45.0664740Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_inlined_functions_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3637s] [ 89%] 2025-12-04T16:31:45.0665497Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_internal_nonlocal_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4058s] [ 89%] 2025-12-04T16:31:45.0666250Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensor_constant_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2177s] [ 89%] 2025-12-04T16:31:45.0667139Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensors_with_compound_expressions_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0019s] [ 89%] 2025-12-04T16:31:45.0667945Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_lift_tensors_with_shared_symbols_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3495s] [ 89%] 2025-12-04T16:31:45.0668668Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_make_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3611s] [ 89%] 2025-12-04T16:31:45.0669558Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_example_value_metadata_consistent_with_eager_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [8.2314s] [ 89%] 2025-12-04T16:31:45.0670313Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2118s] [ 89%] 2025-12-04T16:31:45.0671032Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0127s] [ 89%] 2025-12-04T16:31:45.0671772Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_lowers_to_graph_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4957s] [ 89%] 2025-12-04T16:31:45.0672509Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_multi_return_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4423s] [ 89%] 2025-12-04T16:31:45.0673247Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_pytree_return_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6553s] [ 89%] 2025-12-04T16:31:45.0673985Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_side_effect_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1347s] [ 89%] 2025-12-04T16:31:45.0674751Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3994s] [ 89%] 2025-12-04T16:31:45.0675524Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_subgraph_name_is_valid_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9106s] [ 90%] 2025-12-04T16:31:45.0676262Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_map_symint_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4506s] [ 90%] 2025-12-04T16:31:45.0676951Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_modules_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1097s] [ 90%] 2025-12-04T16:31:45.0677707Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_nested_tuple_output_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4150s] [ 90%] 2025-12-04T16:31:45.0678446Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_nested_wrap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4631s] [ 90%] 2025-12-04T16:31:45.0679152Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_no_freevars_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2199s] [ 90%] 2025-12-04T16:31:45.0679890Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_output_with_dict_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2192s] [ 90%] 2025-12-04T16:31:45.0680610Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_register_mode_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0029s] [ 90%] 2025-12-04T16:31:45.0681361Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_register_subclass_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0030s] [ 90%] 2025-12-04T16:31:45.0682109Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_var_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2273s] [ 90%] 2025-12-04T16:31:45.0683016Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_var_used_multiple_times_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [5.8260s] [ 90%] 2025-12-04T16:31:45.0683768Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_return_captured_vars_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2530s] [ 90%] 2025-12-04T16:31:45.0684510Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_same_freevar_twice_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2791s] [ 90%] 2025-12-04T16:31:45.0685381Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_global_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0589s] [ 90%] 2025-12-04T16:31:45.0686238Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_global_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0554s] [ 90%] 2025-12-04T16:31:45.0687122Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1837s] [ 90%] 2025-12-04T16:31:45.0687969Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0593s] [ 90%] 2025-12-04T16:31:45.0688719Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_in_body_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0441s] [ 90%] 2025-12-04T16:31:45.0689572Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_local_list_append_no_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2652s] [ 90%] 2025-12-04T16:31:45.0690402Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_list_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0909s] [ 90%] 2025-12-04T16:31:45.0691337Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_num_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0857s] [ 91%] 2025-12-04T16:31:45.0692638Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0846s] [ 91%] 2025-12-04T16:31:45.0693519Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_tensor_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1403s] [ 91%] 2025-12-04T16:31:45.0694328Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_global_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1407s] [ 91%] 2025-12-04T16:31:45.0695227Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_num_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0927s] [ 91%] 2025-12-04T16:31:45.0696030Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_num_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0914s] [ 91%] 2025-12-04T16:31:45.0696887Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor_builtin_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0982s] [ 91%] 2025-12-04T16:31:45.0697712Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0973s] [ 91%] 2025-12-04T16:31:45.0698613Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_nested_nonlocal_list_append_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1226s] [ 91%] 2025-12-04T16:31:45.0699521Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_nonlocal_list_append_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1147s] [ 91%] 2025-12-04T16:31:45.0700373Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_global_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0582s] [ 91%] 2025-12-04T16:31:45.0701218Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_global_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0905s] [ 91%] 2025-12-04T16:31:45.0702081Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1830s] [ 91%] 2025-12-04T16:31:45.0702978Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0984s] [ 91%] 2025-12-04T16:31:45.0703798Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_global_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0920s] [ 91%] 2025-12-04T16:31:45.0704778Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_global_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0908s] [ 91%] 2025-12-04T16:31:45.0705645Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2191s] [ 91%] 2025-12-04T16:31:45.0706466Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_obj_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1025s] [ 91%] 2025-12-04T16:31:45.0707314Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_support_float_in_output_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0712s] [ 91%] 2025-12-04T16:31:45.0708034Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_symint_in_slice_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7056s] [ 92%] 2025-12-04T16:31:45.0708761Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_symint_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2601s] [ 92%] 2025-12-04T16:31:45.0709579Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_and_unbacked_symbol_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4243s] [ 92%] 2025-12-04T16:31:45.0710335Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_to_list_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1187s] [ 92%] 2025-12-04T16:31:45.0711207Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_tensor_with_unbacked_shape_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4033s] [ 92%] 2025-12-04T16:31:45.0711981Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_unbacked_symbol_closure_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2373s] [ 92%] 2025-12-04T16:31:45.0712742Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_vmap_multiply_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6020s] [ 92%] 2025-12-04T16:31:45.0713483Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_vmap_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3910s] [ 92%] 2025-12-04T16:31:45.0714208Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_all_kwarg_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3570s] [ 92%] 2025-12-04T16:31:45.0715017Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_allow_local_assign_in_body_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1981s] [ 92%] 2025-12-04T16:31:45.0715899Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_inductor_compiled_regions_option_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6431s] [ 92%] 2025-12-04T16:31:45.0716782Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_inductor_compiled_regions_with_backward_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6879s] [ 92%] 2025-12-04T16:31:45.0717523Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3883s] [ 92%] 2025-12-04T16:31:45.0718327Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_else_branch_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2938s] [ 92%] 2025-12-04T16:31:45.0719158Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_default_if_branch_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3496s] [ 92%] 2025-12-04T16:31:45.0719873Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3199s] [ 92%] 2025-12-04T16:31:45.0720587Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_int_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2293s] [ 92%] 2025-12-04T16:31:45.0721312Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_only_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3421s] [ 92%] 2025-12-04T16:31:45.0722073Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_kwarg_recompile_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2107s] [ 92%] 2025-12-04T16:31:45.0722837Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_nested_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1849s] [ 92%] 2025-12-04T16:31:45.0723716Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_not_const_symint_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0553s] [ 93%] 2025-12-04T16:31:45.0724542Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_args_with_symint_constant_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2997s] [ 93%] 2025-12-04T16:31:45.0725291Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_pytree_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4057s] [ 93%] 2025-12-04T16:31:45.0726033Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_source_fn_stack_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1607s] [ 93%] 2025-12-04T16:31:45.0726847Z dynamo/test_dynamic_shapes.py::DynamicShapesHigherOrderOpTests::test_wrap_subgraph_name_is_valid_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1494s] [ 93%] 2025-12-04T16:31:45.0727776Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_disable_inline_nn_module_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5114s] [ 93%] 2025-12-04T16:31:45.0728571Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2768s] [ 93%] 2025-12-04T16:31:45.0729528Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_functional_call_sequential_params_and_buffers_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1811s] [ 93%] 2025-12-04T16:31:45.0730390Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_call_compiled_backward_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3406s] [ 93%] 2025-12-04T16:31:45.0731378Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_call_torch_compile_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0098s] [ 93%] 2025-12-04T16:31:45.0732192Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_capture_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2041s] [ 93%] 2025-12-04T16:31:45.0733001Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_closure_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3304s] [ 93%] 2025-12-04T16:31:45.0733753Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2953s] [ 93%] 2025-12-04T16:31:45.0734555Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_fn_with_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3408s] [ 93%] 2025-12-04T16:31:45.0735460Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_freevar_python_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3241s] [ 93%] 2025-12-04T16:31:45.0736271Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_freevar_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6423s] [ 93%] 2025-12-04T16:31:45.0737050Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3446s] [ 93%] 2025-12-04T16:31:45.0737864Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_non_tensor_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3138s] [ 93%] 2025-12-04T16:31:45.0738643Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_over_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1347s] [ 93%] 2025-12-04T16:31:45.0739466Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_pytree_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5526s] [ 93%] 2025-12-04T16:31:45.0740249Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_recompile_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1033s] [ 94%] 2025-12-04T16:31:45.0741117Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_two_tensor_all_grad_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9023s] [ 94%] 2025-12-04T16:31:45.0741939Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_two_tensor_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3861s] [ 94%] 2025-12-04T16:31:45.0742769Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_with_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1511s] [ 94%] 2025-12-04T16:31:45.0743624Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_grad_with_side_effect_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5064s] [ 94%] 2025-12-04T16:31:45.0744416Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_hessian_argnums_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.7534s] [ 94%] 2025-12-04T16:31:45.0745181Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_hessian_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.1874s] [ 94%] 2025-12-04T16:31:45.0745928Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7859s] [ 94%] 2025-12-04T16:31:45.0746721Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.9598s] [ 94%] 2025-12-04T16:31:45.0747559Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_randomness_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [1.0730s] [ 94%] 2025-12-04T16:31:45.0748409Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacfwd_two_tensors_argnums_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.8077s] [ 94%] 2025-12-04T16:31:45.0749172Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5958s] [ 94%] 2025-12-04T16:31:45.0749954Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6225s] [ 94%] 2025-12-04T16:31:45.0750811Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jacrev_two_tensors_argnums_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6187s] [ 94%] 2025-12-04T16:31:45.0751679Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_call_torch_compile_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0096s] [ 94%] 2025-12-04T16:31:45.0752654Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_freevar_python_scalar_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5541s] [ 94%] 2025-12-04T16:31:45.0753861Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_freevar_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4971s] [ 94%] 2025-12-04T16:31:45.0754628Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2836s] [ 94%] 2025-12-04T16:31:45.0755557Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_jvp_dynamic_shapes <- test/dynamo/test_higher_order_ops.py SKIPPED [0.0016s] (test fails with dynamic shapes) [ 94%] 2025-12-04T16:31:45.0756366Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_simple_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2787s] [ 94%] 2025-12-04T16:31:45.0757299Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_enable_disable_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2825s] [ 95%] 2025-12-04T16:31:45.0758148Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_grad_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2799s] [ 95%] 2025-12-04T16:31:45.0758981Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_jvp_two_tensors_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4827s] [ 95%] 2025-12-04T16:31:45.0759779Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_linearize_jvp_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6077s] [ 95%] 2025-12-04T16:31:45.0760713Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_teardown_resets_nested_graph_breaks_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0016s] [ 95%] 2025-12-04T16:31:45.0761567Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_call_compiled_backward_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0952s] [ 95%] 2025-12-04T16:31:45.0762306Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0915s] [ 95%] 2025-12-04T16:31:45.0763085Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_has_aux_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0917s] [ 95%] 2025-12-04T16:31:45.0763904Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_multiple_outputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1845s] [ 95%] 2025-12-04T16:31:45.0764837Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vjp_multiple_outputs_python_struct_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2042s] [ 95%] 2025-12-04T16:31:45.0765696Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_call_compiled_backward_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0935s] [ 95%] 2025-12-04T16:31:45.0766550Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_call_torch_compile_fn_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0092s] [ 95%] 2025-12-04T16:31:45.0767287Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1972s] [ 95%] 2025-12-04T16:31:45.0768098Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_free_const_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2164s] [ 95%] 2025-12-04T16:31:45.0768915Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_free_tensor_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4697s] [ 95%] 2025-12-04T16:31:45.0769707Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_get_wrapped_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.0233s] [ 95%] 2025-12-04T16:31:45.0770491Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_kwargs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5316s] [ 95%] 2025-12-04T16:31:45.0771443Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_in_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.8047s] [ 95%] 2025-12-04T16:31:45.0772338Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_out_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.7057s] [ 95%] 2025-12-04T16:31:45.0773239Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_diff_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2815s] [ 96%] 2025-12-04T16:31:45.0774059Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2084s] [ 96%] 2025-12-04T16:31:45.0774961Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_out_dims_tuple_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3073s] [ 96%] 2025-12-04T16:31:45.0775818Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_implicit_via_op_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1880s] [ 96%] 2025-12-04T16:31:45.0776680Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_in_body_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.2925s] [ 96%] 2025-12-04T16:31:45.0777530Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_new_tensor_unused_in_body_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1713s] [ 96%] 2025-12-04T16:31:45.0778340Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_out_dims_None_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3240s] [ 96%] 2025-12-04T16:31:45.0779167Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_over_vmap_captured_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.5607s] [ 96%] 2025-12-04T16:31:45.0779986Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_over_vmap_two_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4177s] [ 96%] 2025-12-04T16:31:45.0780899Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_previous_illegal_op_no_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.6630s] [ 96%] 2025-12-04T16:31:45.0781738Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_pytree_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3219s] [ 96%] 2025-12-04T16:31:45.0782629Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_different_config_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1214s] [ 96%] 2025-12-04T16:31:45.0783422Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1138s] [ 96%] 2025-12-04T16:31:45.0784312Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_same_config_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1170s] [ 96%] 2025-12-04T16:31:45.0785189Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_recompile_with_randomness_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1164s] [ 96%] 2025-12-04T16:31:45.0786044Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_side_effects_append_input_dynamic_shapes <- test/dynamo/test_higher_order_ops.py XFAIL [0.1990s] [ 96%] 2025-12-04T16:31:45.0786848Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_side_effects_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3033s] [ 96%] 2025-12-04T16:31:45.0787634Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_two_inputs_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.3488s] [ 96%] 2025-12-04T16:31:45.0788494Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_two_inputs_tuple_in_dims_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4316s] [ 96%] 2025-12-04T16:31:45.0789407Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_conditional_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.4332s] [ 96%] 2025-12-04T16:31:45.0790239Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_2_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1679s] [ 97%] 2025-12-04T16:31:45.0791054Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1705s] [ 97%] 2025-12-04T16:31:45.0791900Z dynamo/test_dynamic_shapes.py::DynamicShapesFuncTorchHigherOrderOpTests::test_vmap_with_graph_break_lambda_dynamic_shapes <- test/dynamo/test_higher_order_ops.py PASSED [0.1550s] [ 97%] 2025-12-04T16:31:45.0792615Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_LSTM_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0890s] [ 97%] 2025-12-04T16:31:45.0793386Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_alias_inputs_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2341s] [ 97%] 2025-12-04T16:31:45.0794267Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_backwards_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.8028s] [ 97%] 2025-12-04T16:31:45.0795105Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_error_dynamic_shapes <- test/dynamo/test_aot_autograd.py XFAIL [0.4922s] [ 97%] 2025-12-04T16:31:45.0796017Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_expand_mutation_functionalizes_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.5360s] [ 97%] 2025-12-04T16:31:45.0796868Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_raises_invalid_leaf_set_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.7440s] [ 97%] 2025-12-04T16:31:45.0797907Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_autograd_stride_reconstruction_on_zero_dim_dynamic_shaped_tensor_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [3.4524s] [ 97%] 2025-12-04T16:31:45.0798732Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_export_joint_simple_repro_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.7705s] [ 97%] 2025-12-04T16:31:45.0799508Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_grad_mode_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.0662s] [ 97%] 2025-12-04T16:31:45.0800265Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_aot_sequence_nr_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3069s] [ 97%] 2025-12-04T16:31:45.0801110Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.2814s] [ 97%] 2025-12-04T16:31:45.0801990Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [4.6155s] [ 97%] 2025-12-04T16:31:45.0802885Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.0946s] [ 97%] 2025-12-04T16:31:45.0803841Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.1936s] [ 97%] 2025-12-04T16:31:45.0805011Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_list_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.1711s] [ 97%] 2025-12-04T16:31:45.0806010Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_with_global_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.6862s] [ 97%] 2025-12-04T16:31:45.0806879Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_autograd_function_tangent_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2682s] [ 97%] 2025-12-04T16:31:45.0807721Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_safe_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3657s] [ 98%] 2025-12-04T16:31:45.0808649Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_control_flow_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3924s] [ 98%] 2025-12-04T16:31:45.0809553Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2029s] [ 98%] 2025-12-04T16:31:45.0810336Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_copy_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0051s] [ 98%] 2025-12-04T16:31:45.0811252Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_fails_in_backward_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1472s] [ 98%] 2025-12-04T16:31:45.0812076Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_data_ptr_access_fails_in_forward_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1450s] [ 98%] 2025-12-04T16:31:45.0813000Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_different_inputs_overlapping_set_with_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.2103s] [ 98%] 2025-12-04T16:31:45.0813761Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer1_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.3383s] [ 98%] 2025-12-04T16:31:45.0814579Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer2_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3612s] [ 98%] 2025-12-04T16:31:45.0815327Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer3_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3376s] [ 98%] 2025-12-04T16:31:45.0816088Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer4_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.8115s] [ 98%] 2025-12-04T16:31:45.0816839Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer5_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [2.5146s] [ 98%] 2025-12-04T16:31:45.0817637Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer6_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0036s] [ 98%] 2025-12-04T16:31:45.0818533Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph1_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.7985s] [ 98%] 2025-12-04T16:31:45.0819404Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph2_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.8057s] [ 98%] 2025-12-04T16:31:45.0820293Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph3_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.7818s] [ 98%] 2025-12-04T16:31:45.0821162Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph4_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.7599s] [ 98%] 2025-12-04T16:31:45.0821989Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_double_backward_errors_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.7335s] [ 98%] 2025-12-04T16:31:45.0822760Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_eager_sequence_nr_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [229.2017s] [ 98%] 2025-12-04T16:31:45.0823549Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_grad_inputs_alias_inputs_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1038s] [ 98%] 2025-12-04T16:31:45.0824452Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_inputs_overlapping_with_mutation_recompile_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.9089s] [ 99%] 2025-12-04T16:31:45.0825609Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_inputs_overlapping_with_mutation_stress_dynamic_shapes <- test/dynamo/test_aot_autograd.py SKIPPED [0.0006s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 99%] 2025-12-04T16:31:45.0826613Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_joint_custom_pass_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.3006s] [ 99%] 2025-12-04T16:31:45.0827466Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_multiple_aot_autograd_calls_dupe_args_dynamic_shapes <- test/dynamo/test_aot_autograd.py XFAIL [0.0740s] [ 99%] 2025-12-04T16:31:45.0828209Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_mutation1_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.6364s] [ 99%] 2025-12-04T16:31:45.0828932Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1023s] [ 99%] 2025-12-04T16:31:45.0829698Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_negative_testing_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1845s] [ 99%] 2025-12-04T16:31:45.0830554Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_negative_testing_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [1.3182s] [ 99%] 2025-12-04T16:31:45.0831362Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_nn_parameter_construction_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.4526s] [ 99%] 2025-12-04T16:31:45.0832234Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_no_storage_overlap_guards_no_aliasing_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.2703s] [ 99%] 2025-12-04T16:31:45.0833092Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_no_storage_overlap_guards_no_mutation_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.1892s] [ 99%] 2025-12-04T16:31:45.0834002Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_requires_grad_fake_via_dynamo_recompiles_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.8429s] [ 99%] 2025-12-04T16:31:45.0834941Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_split_with_sizes_aot_autograd_cleans_up_traceback_meta_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [0.0041s] [ 99%] 2025-12-04T16:31:45.0835845Z dynamo/test_dynamic_shapes.py::DynamicShapesAotAutogradFallbackTests::test_unbacked_activation_specialized_in_inductor_dynamic_shapes <- test/dynamo/test_aot_autograd.py PASSED [3.5160s] [ 99%] 2025-12-04T16:31:45.0836500Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_graph_break_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.2273s] [ 99%] 2025-12-04T16:31:45.0837114Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_input_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.1260s] [ 99%] 2025-12-04T16:31:45.0837839Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_intermediate_attr_access_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.0872s] [ 99%] 2025-12-04T16:31:45.0838495Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_returns_SDPAParams_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.0727s] [ 99%] 2025-12-04T16:31:45.0839175Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_sdpa_c_functions_no_graph_break_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [0.0341s] [ 99%] 2025-12-04T16:31:45.0839865Z dynamo/test_dynamic_shapes.py::DynamicShapesTestSDPA::test_sdpa_kernel_decorator_with_compile_dynamic_shapes <- test/dynamo/test_sdpa.py PASSED [1.3735s] [100%] 2025-12-04T16:31:45.0839874Z 2025-12-04T16:31:45.0840625Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-130877be3b6d9064.xml - 2025-12-04T16:31:45.0840866Z ========== 1918 passed, 32 skipped, 27 xfailed in 1606.66s (0:26:46) =========== 2025-12-04T16:31:45.0841363Z The following tests failed and then succeeded when run in a new process['dynamo/test_dynamic_shapes'] 2025-12-04T16:31:45.0841384Z 2025-12-04T16:31:45.0842401Z FINISHED PRINTING LOG FILE of dynamo/test_dynamic_shapes 1/1 (test/test-reports/dynamo.test_dynamic_shapes_1.1_78104ffcd01d4add_.log) 2025-12-04T16:31:45.0842408Z 2025-12-04T16:31:45.0842770Z Finished dynamo/test_dynamic_shapes 1/1 ... [2025-12-04 16:31:44.309517][25140.059055729], took 85.04min 2025-12-04T16:31:45.0843574Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-0e8ef72f00192ba7.xml 2025-12-04T16:31:45.0844413Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-b776495d1358f465.xml 2025-12-04T16:31:45.0845208Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/dynamo.test_dynamic_shapes/dynamo.test_dynamic_shapes-130877be3b6d9064.xml 2025-12-04T16:31:46.1891352Z Uploading artifacts took 1.27 seconds 2025-12-04T16:31:46.1895459Z Running inductor/test_mkldnn_pattern_matcher 1/3 ... [2025-12-04 16:31:46.189316][25141.938858784] 2025-12-04T16:31:46.1896276Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T16:31:46.1901146Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '--shard-id=1', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 16:31:46.189796] 2025-12-04T16:36:27.0685120Z 2025-12-04T16:36:27.0688485Z inductor/test_mkldnn_pattern_matcher 1/3 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.3_dc44ac64682b9938_.log 2025-12-04T16:36:27.0751181Z Running 87 items in this shard: test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_conv2d_add_scalar, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_conv2d_binary_fusion_failed, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_linear_add_bias, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_linear_input_non_contiguous_3D_wo_bias, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qat_qconv2d_hardswish, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qat_qconv2d_relu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qcat, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_broadcast_shapes_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_add_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_dequant_promotion_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_hardswish_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_hardtanh_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_int8_mixed_bf16, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu6_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_relu_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_silu_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_silu_int8_mixed_bf16_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qconv2d_with_concat_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qflatten, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_True_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_True_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_fp8_inductor_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_True_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_xpu_use_relu_False_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_xpu_use_relu_True_is_qat_False_is_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_dequant_promotion_dynamic_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_dequant_promotion_int8_mixed_bf16_input_dim_exceeds_2_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_gelu_cpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_gelu_int8_mixed_bf16, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_gelu_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_input_dim_exceeds_2_and_not_contiguous, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2_and_not_contiguous_use_autocast, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16_use_autocast, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_mul_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_relu_input_dim_exceeds_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_qlinear_relu_int8_mixed_bf16_xpu, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_reproduce_113440_issue_1, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_reproduce_113440_issue_2, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_reproduce_99842_issue, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_True_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_float32_per_channel_quant_True_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_bfloat16_per_channel_quant_False_dynamic_True, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_False_dynamic_False, test/inductor/test_mkldnn_pattern_matcher.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_True_dynamic_False 2025-12-04T16:36:27.0812914Z 2025-12-04T16:36:27.0813334Z Finished inductor/test_mkldnn_pattern_matcher 1/3 ... [2025-12-04 16:36:27.068707][25422.818247153], took 4.68min 2025-12-04T16:36:27.0968576Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_mkldnn_pattern_matcher/inductor.test_mkldnn_pattern_matcher-777f9b31acf06331.xml 2025-12-04T16:36:27.1625956Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 16:36:27.162255][25422.911799117] 2025-12-04T16:36:27.1626810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T16:36:27.1629381Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 16:36:27.162704] 2025-12-04T16:36:39.3879160Z 2025-12-04T16:36:39.3880276Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_cf5664605d628da1_.log 2025-12-04T16:36:39.3881154Z 2025-12-04T16:36:39.3881550Z Finished inductor/test_cpu_cpp_wrapper 1/1 ... [2025-12-04 16:36:39.387646][25435.137189816], took 0.20min 2025-12-04T16:36:39.4164122Z Running inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 16:36:39.416118][25435.165661844] 2025-12-04T16:36:39.4164830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T16:36:39.4168667Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_torchinductor_strided_blocks.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 16:36:39.416568] 2025-12-04T16:37:40.5250003Z 2025-12-04T16:37:40.5251266Z inductor/test_torchinductor_strided_blocks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_6c92204558d14f4f_.log 2025-12-04T16:37:40.5494041Z Running 302 items in this shard: test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_reduction_multi_kernel_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_reduction_odd_shapes_view_size0_num_block_pointers_1_num_triton_kernels_1_reduction_op0_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_reduction_odd_shapes_view_size1_num_block_pointers_3_num_triton_kernels_2_reduction_op1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_reduction_odd_shapes_view_size2_num_block_pointers_1_num_triton_kernels_1_reduction_op2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_reduction_odd_shapes_view_size3_num_block_pointers_1_num_triton_kernels_1_reduction_op3_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_reduction_odd_shapes_view_size4_num_block_pointers_1_num_triton_kernels_1_reduction_op4_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_reductions_mixed_indexing_reduction_op0_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_reductions_mixed_indexing_reduction_op1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_welford_reduction_size0_expected_num_block_pointers_1_expected_num_triton_kernels_1_expect_fallback_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_2d_welford_reduction_size1_expected_num_block_pointers_7_expected_num_triton_kernels_2_expect_fallback_False_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_3d_permute_tiling_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_boundary_check_block_multiple_False_ynumel_exceed_ygrid_size_False_include_z_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_boundary_check_block_multiple_True_ynumel_exceed_ygrid_size_False_include_z_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_boundary_check_block_multiple_True_ynumel_exceed_ygrid_size_True_include_z_False_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_broadcast_prefer_nd_tiling_False_x_size0_y_size0_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_broadcast_prefer_nd_tiling_False_x_size1_y_size1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_broadcast_prefer_nd_tiling_False_x_size2_y_size2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_broadcast_prefer_nd_tiling_False_x_size3_y_size3_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_broadcast_prefer_nd_tiling_True_x_size0_y_size0_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_broadcast_prefer_nd_tiling_True_x_size1_y_size1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_broadcast_prefer_nd_tiling_True_x_size2_y_size2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_broadcast_prefer_nd_tiling_True_x_size3_y_size3_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_broadcast_with_singleton_dims_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_complex_reshape_block_ptr_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_dynamic_shapes_pointwise_multiple_max_block_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_dynamic_shapes_pointwise_nd_tiling_False_num_block_pointers_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_dynamic_shapes_pointwise_nd_tiling_True_num_block_pointers_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_dynamic_shapes_reduction_with_tiling_False_num_block_pointers_0_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_dynamic_shapes_reduction_with_tiling_True_num_block_pointers_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_enable_tiled_reductions_tile_reductions_False_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_enable_tiled_reductions_tile_reductions_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_ensure_integral_dims_and_strides_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size0_y_size0_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size1_y_size1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size2_y_size2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size3_y_size3_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size4_y_size4_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size5_y_size5_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size6_y_size6_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size7_y_size7_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size8_y_size8_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_broadcast_x_size9_y_size9_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expand_clone_broadcast_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expected_num_block_pointers_expected_num_block_pointers_3_raises_False_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_expected_num_block_pointers_expected_num_block_pointers_9_raises_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_fused_2d_reduction_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_mixed_pointwise_reduction_view_size0_num_block_pointers_2_num_triton_kernels_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_mixed_pointwise_reduction_view_size1_num_block_pointers1_num_triton_kernels1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_mul_broadcast_multi_output_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_multiple_max_block_non_power_of_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_nd_tiling_odd_shapes_pointwise_full_size0_view_size0_num_block_pointers_3_num_tiles_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_nd_tiling_odd_shapes_pointwise_full_size1_view_size1_num_block_pointers_3_num_tiles_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_nd_tiling_odd_shapes_pointwise_full_size2_view_size2_num_block_pointers_3_num_tiles_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_nd_tiling_odd_shapes_pointwise_full_size3_view_size3_num_block_pointers_3_num_tiles_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_nd_tiling_odd_shapes_pointwise_full_size4_view_size4_num_block_pointers_3_num_tiles_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_nd_tiling_odd_shapes_pointwise_full_size5_view_size5_num_block_pointers_1_num_tiles_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_negative_strides_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_broadcast_nonzero_strides_prefer_nd_tiling_False_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_broadcast_nonzero_strides_prefer_nd_tiling_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_index_order_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size0_view_size0_stride0_offset0_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size1_view_size1_stride1_offset1_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size2_view_size2_stride2_offset2_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size3_view_size3_stride3_offset_10_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size4_view_size4_stride4_offset4_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size5_view_size5_stride5_offset5_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size6_view_size6_stride6_offset6_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size7_view_size7_stride7_offset7_require_block_ptr_False_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size8_view_size8_stride8_offset8_require_block_ptr_False_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_False_full_size9_view_size9_stride9_offset9_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size0_view_size0_stride0_offset0_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size1_view_size1_stride1_offset1_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size2_view_size2_stride2_offset2_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size3_view_size3_stride3_offset_10_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size4_view_size4_stride4_offset4_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size5_view_size5_stride5_offset5_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size6_view_size6_stride6_offset6_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size7_view_size7_stride7_offset7_require_block_ptr_False_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size8_view_size8_stride8_offset8_require_block_ptr_False_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_pointwise_prefer_nd_tiling_True_full_size9_view_size9_stride9_offset9_require_block_ptr_True_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_multiple_discontiguous_dims_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_False_view_size0_num_block_pointers_1_num_triton_kernels_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_False_view_size1_num_block_pointers_1_num_triton_kernels_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_False_view_size2_num_block_pointers_1_num_triton_kernels_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_False_view_size3_num_block_pointers3_num_triton_kernels_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_False_view_size4_num_block_pointers_3_num_triton_kernels_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_False_view_size5_num_block_pointers_2_num_triton_kernels_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_False_view_size6_num_block_pointers_3_num_triton_kernels_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_True_view_size0_num_block_pointers_1_num_triton_kernels_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_True_view_size1_num_block_pointers_1_num_triton_kernels_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_True_view_size2_num_block_pointers_1_num_triton_kernels_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_True_view_size3_num_block_pointers3_num_triton_kernels_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_True_view_size4_num_block_pointers_3_num_triton_kernels_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_True_view_size5_num_block_pointers_2_num_triton_kernels_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_reduction_prefer_nd_tiling_True_view_size6_num_block_pointers_3_num_triton_kernels_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_removed_buffers_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_unbacked_size_on_non_contig_dim_num_tile_candidates_1_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_unbacked_size_on_non_contig_dim_num_tile_candidates_2_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestCPU::test_welford_non_block_pointer_cpu, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_reduction_multi_kernel_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_reduction_odd_shapes_view_size0_num_block_pointers_1_num_triton_kernels_1_reduction_op0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_reduction_odd_shapes_view_size1_num_block_pointers_3_num_triton_kernels_2_reduction_op1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_reduction_odd_shapes_view_size2_num_block_pointers_1_num_triton_kernels_1_reduction_op2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_reduction_odd_shapes_view_size3_num_block_pointers_1_num_triton_kernels_1_reduction_op3_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_reduction_odd_shapes_view_size4_num_block_pointers_1_num_triton_kernels_1_reduction_op4_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_reductions_mixed_indexing_reduction_op0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_reductions_mixed_indexing_reduction_op1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_welford_reduction_size0_expected_num_block_pointers_1_expected_num_triton_kernels_1_expect_fallback_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_2d_welford_reduction_size1_expected_num_block_pointers_7_expected_num_triton_kernels_2_expect_fallback_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_3d_permute_tiling_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_boundary_check_block_multiple_False_ynumel_exceed_ygrid_size_False_include_z_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_boundary_check_block_multiple_True_ynumel_exceed_ygrid_size_False_include_z_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_boundary_check_block_multiple_True_ynumel_exceed_ygrid_size_True_include_z_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_broadcast_prefer_nd_tiling_False_x_size0_y_size0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_broadcast_prefer_nd_tiling_False_x_size1_y_size1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_broadcast_prefer_nd_tiling_False_x_size2_y_size2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_broadcast_prefer_nd_tiling_False_x_size3_y_size3_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_broadcast_prefer_nd_tiling_True_x_size0_y_size0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_broadcast_prefer_nd_tiling_True_x_size1_y_size1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_broadcast_prefer_nd_tiling_True_x_size2_y_size2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_broadcast_prefer_nd_tiling_True_x_size3_y_size3_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_broadcast_with_singleton_dims_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_complex_reshape_block_ptr_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_dynamic_shapes_pointwise_multiple_max_block_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_dynamic_shapes_pointwise_nd_tiling_False_num_block_pointers_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_dynamic_shapes_pointwise_nd_tiling_True_num_block_pointers_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_dynamic_shapes_reduction_with_tiling_False_num_block_pointers_0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_dynamic_shapes_reduction_with_tiling_True_num_block_pointers_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_enable_tiled_reductions_tile_reductions_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_enable_tiled_reductions_tile_reductions_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_ensure_integral_dims_and_strides_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size0_y_size0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size1_y_size1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size2_y_size2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size3_y_size3_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size4_y_size4_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size5_y_size5_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size6_y_size6_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size7_y_size7_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size8_y_size8_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_broadcast_x_size9_y_size9_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expand_clone_broadcast_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expected_num_block_pointers_expected_num_block_pointers_3_raises_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_expected_num_block_pointers_expected_num_block_pointers_9_raises_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_fused_2d_reduction_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_mixed_pointwise_reduction_view_size0_num_block_pointers_2_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_mixed_pointwise_reduction_view_size1_num_block_pointers1_num_triton_kernels1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_mul_broadcast_multi_output_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_multiple_max_block_non_power_of_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_nd_tiling_odd_shapes_pointwise_full_size0_view_size0_num_block_pointers_3_num_tiles_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_nd_tiling_odd_shapes_pointwise_full_size1_view_size1_num_block_pointers_3_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_nd_tiling_odd_shapes_pointwise_full_size2_view_size2_num_block_pointers_3_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_nd_tiling_odd_shapes_pointwise_full_size3_view_size3_num_block_pointers_3_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_nd_tiling_odd_shapes_pointwise_full_size4_view_size4_num_block_pointers_3_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_nd_tiling_odd_shapes_pointwise_full_size5_view_size5_num_block_pointers_1_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_negative_strides_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_broadcast_nonzero_strides_prefer_nd_tiling_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_broadcast_nonzero_strides_prefer_nd_tiling_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_index_order_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size0_view_size0_stride0_offset0_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size1_view_size1_stride1_offset1_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size2_view_size2_stride2_offset2_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size3_view_size3_stride3_offset_10_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size4_view_size4_stride4_offset4_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size5_view_size5_stride5_offset5_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size6_view_size6_stride6_offset6_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size7_view_size7_stride7_offset7_require_block_ptr_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size8_view_size8_stride8_offset8_require_block_ptr_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_False_full_size9_view_size9_stride9_offset9_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size0_view_size0_stride0_offset0_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size1_view_size1_stride1_offset1_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size2_view_size2_stride2_offset2_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size3_view_size3_stride3_offset_10_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size4_view_size4_stride4_offset4_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size5_view_size5_stride5_offset5_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size6_view_size6_stride6_offset6_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size7_view_size7_stride7_offset7_require_block_ptr_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size8_view_size8_stride8_offset8_require_block_ptr_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_pointwise_prefer_nd_tiling_True_full_size9_view_size9_stride9_offset9_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_multiple_discontiguous_dims_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_False_view_size0_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_False_view_size1_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_False_view_size2_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_False_view_size3_num_block_pointers3_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_False_view_size4_num_block_pointers_3_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_False_view_size5_num_block_pointers_2_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_False_view_size6_num_block_pointers_3_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_True_view_size0_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_True_view_size1_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_True_view_size2_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_True_view_size3_num_block_pointers3_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_True_view_size4_num_block_pointers_3_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_True_view_size5_num_block_pointers_2_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_reduction_prefer_nd_tiling_True_view_size6_num_block_pointers_3_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_removed_buffers_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_unbacked_size_on_non_contig_dim_num_tile_candidates_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_unbacked_size_on_non_contig_dim_num_tile_candidates_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonBlockPointerTestGPU::test_welford_non_block_pointer_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_reduction_multi_kernel_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_reduction_odd_shapes_view_size0_num_block_pointers_1_num_triton_kernels_1_reduction_op0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_reduction_odd_shapes_view_size1_num_block_pointers_3_num_triton_kernels_2_reduction_op1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_reduction_odd_shapes_view_size2_num_block_pointers_1_num_triton_kernels_1_reduction_op2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_reduction_odd_shapes_view_size3_num_block_pointers_1_num_triton_kernels_1_reduction_op3_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_reduction_odd_shapes_view_size4_num_block_pointers_1_num_triton_kernels_1_reduction_op4_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_reductions_mixed_indexing_reduction_op0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_reductions_mixed_indexing_reduction_op1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_welford_reduction_size0_expected_num_block_pointers_1_expected_num_triton_kernels_1_expect_fallback_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_2d_welford_reduction_size1_expected_num_block_pointers_7_expected_num_triton_kernels_2_expect_fallback_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_3d_permute_tiling_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_boundary_check_block_multiple_False_ynumel_exceed_ygrid_size_False_include_z_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_boundary_check_block_multiple_True_ynumel_exceed_ygrid_size_False_include_z_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_boundary_check_block_multiple_True_ynumel_exceed_ygrid_size_True_include_z_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_broadcast_prefer_nd_tiling_False_x_size0_y_size0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_broadcast_prefer_nd_tiling_False_x_size1_y_size1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_broadcast_prefer_nd_tiling_False_x_size2_y_size2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_broadcast_prefer_nd_tiling_False_x_size3_y_size3_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_broadcast_prefer_nd_tiling_True_x_size0_y_size0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_broadcast_prefer_nd_tiling_True_x_size1_y_size1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_broadcast_prefer_nd_tiling_True_x_size2_y_size2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_broadcast_prefer_nd_tiling_True_x_size3_y_size3_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_broadcast_with_singleton_dims_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_complex_reshape_block_ptr_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_dynamic_shapes_pointwise_multiple_max_block_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_dynamic_shapes_pointwise_nd_tiling_False_num_block_pointers_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_dynamic_shapes_pointwise_nd_tiling_True_num_block_pointers_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_dynamic_shapes_reduction_with_tiling_False_num_block_pointers_0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_dynamic_shapes_reduction_with_tiling_True_num_block_pointers_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_enable_tiled_reductions_tile_reductions_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_enable_tiled_reductions_tile_reductions_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_ensure_integral_dims_and_strides_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size0_y_size0_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size1_y_size1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size2_y_size2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size3_y_size3_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size4_y_size4_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size5_y_size5_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size6_y_size6_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size7_y_size7_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size8_y_size8_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_broadcast_x_size9_y_size9_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expand_clone_broadcast_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expected_num_block_pointers_expected_num_block_pointers_3_raises_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_expected_num_block_pointers_expected_num_block_pointers_9_raises_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_fused_2d_reduction_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_match_with_transpose_view_size0_permute_order0_num_tensor_descriptors_3_expect_transpose_False, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_match_with_transpose_view_size1_permute_order1_num_tensor_descriptors_3_expect_transpose_False, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_match_with_transpose_view_size2_permute_order2_num_tensor_descriptors_3_expect_transpose_True, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_match_with_transpose_view_size3_permute_order3_num_tensor_descriptors_3_expect_transpose_True, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_match_with_transpose_view_size4_permute_order4_num_tensor_descriptors_3_expect_transpose_True, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_mixed_pointwise_reduction_view_size0_num_block_pointers_2_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_mixed_pointwise_reduction_view_size1_num_block_pointers1_num_triton_kernels1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_mul_broadcast_multi_output_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_multiple_max_block_non_power_of_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_nd_tiling_odd_shapes_pointwise_full_size0_view_size0_num_block_pointers_3_num_tiles_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_nd_tiling_odd_shapes_pointwise_full_size1_view_size1_num_block_pointers_3_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_nd_tiling_odd_shapes_pointwise_full_size2_view_size2_num_block_pointers_3_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_nd_tiling_odd_shapes_pointwise_full_size3_view_size3_num_block_pointers_3_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_nd_tiling_odd_shapes_pointwise_full_size4_view_size4_num_block_pointers_3_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_nd_tiling_odd_shapes_pointwise_full_size5_view_size5_num_block_pointers_1_num_tiles_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_negative_strides_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_broadcast_nonzero_strides_prefer_nd_tiling_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_broadcast_nonzero_strides_prefer_nd_tiling_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_index_order_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size0_view_size0_stride0_offset0_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size1_view_size1_stride1_offset1_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size2_view_size2_stride2_offset2_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size3_view_size3_stride3_offset_10_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size4_view_size4_stride4_offset4_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size5_view_size5_stride5_offset5_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size6_view_size6_stride6_offset6_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size7_view_size7_stride7_offset7_require_block_ptr_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size8_view_size8_stride8_offset8_require_block_ptr_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_False_full_size9_view_size9_stride9_offset9_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size0_view_size0_stride0_offset0_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size1_view_size1_stride1_offset1_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size2_view_size2_stride2_offset2_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size3_view_size3_stride3_offset_10_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size4_view_size4_stride4_offset4_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size5_view_size5_stride5_offset5_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size6_view_size6_stride6_offset6_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size7_view_size7_stride7_offset7_require_block_ptr_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size8_view_size8_stride8_offset8_require_block_ptr_False_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_pointwise_prefer_nd_tiling_True_full_size9_view_size9_stride9_offset9_require_block_ptr_True_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_multiple_discontiguous_dims_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_False_view_size0_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_False_view_size1_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_False_view_size2_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_False_view_size3_num_block_pointers3_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_False_view_size4_num_block_pointers_3_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_False_view_size5_num_block_pointers_2_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_False_view_size6_num_block_pointers_3_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_True_view_size0_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_True_view_size1_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_True_view_size2_num_block_pointers_1_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_True_view_size3_num_block_pointers3_num_triton_kernels_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_True_view_size4_num_block_pointers_3_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_True_view_size5_num_block_pointers_2_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_reduction_prefer_nd_tiling_True_view_size6_num_block_pointers_3_num_triton_kernels_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_removed_buffers_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_unbacked_size_on_non_contig_dim_num_tile_candidates_1_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_unbacked_size_on_non_contig_dim_num_tile_candidates_2_cuda, test/inductor/test_torchinductor_strided_blocks.py::TritonTensorDescriptorTestCUDA::test_welford_non_block_pointer_cuda 2025-12-04T16:37:40.5732853Z 2025-12-04T16:37:40.5733323Z Finished inductor/test_torchinductor_strided_blocks 1/1 ... [2025-12-04 16:37:40.525658][25496.275197203], took 1.02min 2025-12-04T16:37:40.5734928Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_strided_blocks/inductor.test_torchinductor_strided_blocks-fe35ed14c34e2631.xml 2025-12-04T16:37:40.6595988Z Running test_content_store 1/1 ... [2025-12-04 16:37:40.659365][25496.408911664] 2025-12-04T16:37:40.6596541Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T16:37:40.6600086Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'test_content_store.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 16:37:40.659735] 2025-12-04T16:37:56.4480068Z 2025-12-04T16:37:56.4480998Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_1cfdeb82041718e9_.log 2025-12-04T16:37:56.4483197Z Running 4 items in this shard: test/test_content_store.py::TestContentStoreCUDA::test_basic_cuda, test/test_content_store.py::TestContentStoreCUDA::test_load_tensor_cuda, test/test_content_store.py::TestContentStoreCUDA::test_repeated_hash_cuda, test/test_content_store.py::TestContentStoreCUDA::test_scalar_cuda 2025-12-04T16:37:56.4484772Z 2025-12-04T16:37:56.4485090Z Finished test_content_store 1/1 ... [2025-12-04 16:37:56.447768][25512.197312772], took 0.26min 2025-12-04T16:37:56.4758349Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_content_store/test_content_store-2e9b0d802b9a0a5a.xml 2025-12-04T16:37:56.5567100Z Running inductor/test_multi_kernel 1/1 ... [2025-12-04 16:37:56.556368][25512.305911567] 2025-12-04T16:37:56.5567736Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T16:37:56.5570715Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_multi_kernel.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 16:37:56.556818] 2025-12-04T16:38:38.4864935Z 2025-12-04T16:38:38.4866019Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_e740c4de1c9b3d07_.log 2025-12-04T16:38:38.4875392Z Running 19 items in this shard: test/inductor/test_multi_kernel.py::MultiKernelTest::test_batchnorm_training, test/inductor/test_multi_kernel.py::MultiKernelTest::test_inplace_update, test/inductor/test_multi_kernel.py::MultiKernelTest::test_layernorm, test/inductor/test_multi_kernel.py::MultiKernelTest::test_pass_same_arg_multi_times, test/inductor/test_multi_kernel.py::MultiKernelTest::test_reduction_scratch_buffer, test/inductor/test_multi_kernel.py::MultiKernelTest::test_reduction_scratch_buffer_cpp_wrapper, test/inductor/test_multi_kernel.py::MultiKernelTest::test_reduction_scratch_buffer_cpp_wrapper_non_persistent_reduction, test/inductor/test_multi_kernel.py::MultiKernelTest::test_reduction_scratch_buffer_cpp_wrapper_persistent_reduction, test/inductor/test_multi_kernel.py::MultiKernelTest::test_softmax, test/inductor/test_multi_kernel.py::MultiKernelTest::test_softmax_cpp_wrapper, test/inductor/test_multi_kernel.py::MultiKernelTest::test_softmax_force_non_persistent_reduction_force_kernel_0, test/inductor/test_multi_kernel.py::MultiKernelTest::test_softmax_force_non_persistent_reduction_force_kernel_1, test/inductor/test_multi_kernel.py::MultiKernelTest::test_softmax_warn_mixed_layout, test/inductor/test_multi_kernel.py::MultiKernelTest::test_sort_disables_multi_kernel, test/inductor/test_multi_kernel.py::MultiKernelTest::test_split_scan, test/inductor/test_multi_kernel.py::MultiKernelTest::test_transformer_snippet, test/inductor/test_multi_kernel.py::MultiKernelTest::test_transformer_snippet_with_fallback_random, test/inductor/test_multi_kernel.py::MultiKernelTest::test_triton_gemm, test/inductor/test_multi_kernel.py::MultiKernelTest::test_triton_relu_fused_gemm 2025-12-04T16:38:38.4884069Z 2025-12-04T16:38:38.4884444Z Finished inductor/test_multi_kernel 1/1 ... [2025-12-04 16:38:38.486331][25554.235874757], took 0.70min 2025-12-04T16:38:38.5149084Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_multi_kernel/inductor.test_multi_kernel-9cd34700fcf57ad3.xml 2025-12-04T16:38:38.6125730Z Running inductor/test_b2b_gemm 1/1 ... [2025-12-04 16:38:38.612355][25554.361900798] 2025-12-04T16:38:38.6126299Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T16:38:38.6129875Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_b2b_gemm.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 16:38:38.612732] 2025-12-04T16:38:48.7748317Z 2025-12-04T16:38:48.7749350Z inductor/test_b2b_gemm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_b2b_gemm_1.1_98b6e569596b193b_.log 2025-12-04T16:38:48.7750286Z Running 0 items in this shard: 2025-12-04T16:38:48.7750504Z 2025-12-04T16:38:48.7750861Z Finished inductor/test_b2b_gemm 1/1 ... [2025-12-04 16:38:48.774644][25564.524185369], took 0.17min 2025-12-04T16:38:48.8035967Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_b2b_gemm/inductor.test_b2b_gemm-423d6443ab75feb6.xml 2025-12-04T16:38:48.8743293Z Running inductor/test_triton_heuristics 1/1 ... [2025-12-04 16:38:48.874007][25564.623550488] 2025-12-04T16:38:48.8743980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T16:38:48.8747255Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_triton_heuristics.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 16:38:48.874473] 2025-12-04T16:39:13.4241590Z 2025-12-04T16:39:13.4244615Z inductor/test_triton_heuristics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_heuristics_1.1_d517220e09ca2f97_.log 2025-12-04T16:39:13.4251966Z Running 12 items in this shard: test/inductor/test_triton_heuristics.py::TestTritonHeuristics::test_amd_special_config_args, test/inductor/test_triton_heuristics.py::TestTritonHeuristics::test_artificial_grid_cpp_wrapper, test/inductor/test_triton_heuristics.py::TestTritonHeuristics::test_artificial_zgrid, test/inductor/test_triton_heuristics.py::TestTritonHeuristics::test_autotune_hints_to_configs, test/inductor/test_triton_heuristics.py::TestTritonHeuristics::test_pre_hook_assert, test/inductor/test_triton_heuristics.py::TestTritonHeuristics::test_prune_configs_over_shared_memory_limit_do_pruning_False, test/inductor/test_triton_heuristics.py::TestTritonHeuristics::test_prune_configs_over_shared_memory_limit_do_pruning_True, test/inductor/test_triton_heuristics.py::TestTritonHeuristics::test_template_function_ws, test/inductor/test_triton_heuristics.py::TestTritonHeuristics::test_triton_config, test/inductor/test_triton_heuristics.py::TestArgumentCloneAndRestore::test_clone_args_with_non_zero_offset, test/inductor/test_triton_heuristics.py::TestArgumentCloneAndRestore::test_clone_contiguous_args, test/inductor/test_triton_heuristics.py::TestArgumentCloneAndRestore::test_clone_non_contiguous_args 2025-12-04T16:39:13.4258473Z 2025-12-04T16:39:13.4258867Z Finished inductor/test_triton_heuristics 1/1 ... [2025-12-04 16:39:13.423927][25589.173469954], took 0.41min 2025-12-04T16:39:13.4525369Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_triton_heuristics/inductor.test_triton_heuristics-b5dc620411cd6082.xml 2025-12-04T16:39:13.5290082Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2025-12-04 16:39:13.528758][25589.278302972] 2025-12-04T16:39:13.5290758Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T16:39:13.5294338Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 16:39:13.529192] 2025-12-04T16:46:43.5853584Z 2025-12-04T16:46:43.5854816Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_1f463c19b9f02f67_.log 2025-12-04T16:46:43.6595039Z Running 880 items in this shard: test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_assume_static_by_default_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_constraints_error_not_in_range_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_constraints_error_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_inline_constraints_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_slice_maxsize_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_slice_unbacked_dim1_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_strict_narrow_unbacked_expr_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_no_grad_param_inplace_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_reshape_view_backed_size_oblivious_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_assume_static_by_default_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_constraints_error_not_in_range_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_constraints_error_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_inline_constraints_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_slice_maxsize_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_slice_unbacked_dim1_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_strict_narrow_unbacked_expr_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_no_grad_param_inplace_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_reshape_view_backed_size_oblivious_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test__scaled_dot_product_flash_attention_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_additional_inputs_constants_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_allow_explicit_guards_as_runtime_asserts_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_annotate_on_assert_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_args_type_checked_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_aten_lift_fresh_copy_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_attention_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_attr_assignment_extra_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_automatic_constrain_size_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_automatic_dynamic_shapes_constant_relation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_automatic_dynamic_shapes_linear_relation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_automatic_dynamic_shapes_simple_equality_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_baddbmm_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_basic_non_strict_fake_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_basic_non_strict_real_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_basic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_bincount_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_buffer_util_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_capture_subclass_constructor_torch_ir_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_capture_subclass_constructor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_capture_subclass_wrong_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_ccode_python_mod_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cdist_forward_compute_mode_zero_export_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_check_specialized_int_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_checks_to_constrain_range_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cleanup_dynamic_markers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_colin_unbacked_backed_vr_sub_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_colon_parameter_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_compiling_state_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_access_identical_symint_closure_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_branches_return_constant_int_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_branches_return_same_int_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_buffers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_contains_unbacked_no_escape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_int_closure_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_unflatten_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_with_module_stack_export_with_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_with_module_stack_export_with_unflatten_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_aliasing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_input_naming_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_no_user_inp_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_output_dup_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_output_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_requires_grad_const_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_return_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_tensor_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_tensor_with_non_functional_nested_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_tensor_with_non_functional_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_decomp_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_size_in_eager_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_size_with_constrain_value_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_size_with_various_cases_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_conv_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_crop_like_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cse_for_symint_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_op_auto_functionalize_pre_dispatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_op_auto_functionalize_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_op_auto_warn_pre_dispatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_op_preserve_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_pytree_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_tag_metadata_re_export_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_decomp_batch_norm_functional_predispatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_decomp_item_in_prim_after_decomposition_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_decomp_item_in_prim_before_decomposition_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_default_decomposition_core_cia_ops_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_1_2_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_basic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_integer_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_nested_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_out_of_order_repeat_derived_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_out_of_order_simplified_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_out_of_order_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_derived_dim_repeat_derived_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_detect_leak_nonstrict_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_detect_leak_nonstrict_with_stacktrace_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_detect_leak_strict_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_device_to_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_device_to_gpu_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_device_to_mutation_float_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_device_to_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_device_to_static_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dim_1_2_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dim_auto_and_dim_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dim_dynamic_divisibility_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dim_dynamic_specialization_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dim_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dim_hint_range_violations_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dim_hint_ranges_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_disable_forced_specializations_errors_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_disable_forced_specializations_ok_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_distributed_all_gather_into_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_distributed_all_gather_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_distributed_all_reduce_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_distributed_all_to_all_single_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_distributed_reduce_scatter_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dont_duck_size_for_auto_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_double_lifted_constants_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_draft_export_checks_aliasing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_draft_export_checks_mutation_list_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_draft_export_checks_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_draft_export_checks_mutation_with_nan_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_draft_export_fake_kernel_inference_errors_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_draft_export_infers_fake_kernel_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_duplicate_modules_with_non_persistent_buffers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_lr_shift_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_bounds_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_builder_basic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_builder_kwargs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_builder_pytree_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_dataclass_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_inferred_basic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_serdes_generic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_serdes_user_errors_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_serdes_various_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_spec_with_pytree_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_shapes_wrapped_with_shape_guards_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_dynamic_sym_round_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_ends_of_bounds_oblivious_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_enum_str_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_error_does_not_reference_eager_fallback_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_error_when_passing_mutating_primitive_op_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_exception_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_expand_copy_export_handles_implicit_true_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_api_with_dynamic_shapes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_as_backend_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_associative_scan_lifted_buffers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_associative_scan_symbol_dim_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_associative_scan_symbol_scandim_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_aten_to_unflatten_subclass_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_aten_to_unflatten_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cond_symbool_pred_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cond_warns_constant_pred_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_decomp_table_basic_pop_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_decomp_table_container_methods_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_op_lib_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_triton_kernel_mutable_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_triton_kernel_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cyclic_reference_leak_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomp_torture_case_1_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomp_torture_case_2_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomps_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomps_simple_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_dynamo_config_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_run_decomp_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_container_type_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_dynamic_shapes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_state_dict_hooks_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_default_kwargs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_keyword_only_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_kwargs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_pytree_kwargs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_var_keyword_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_var_keyword_pytree_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_var_postional_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_function_schema_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_graph_with_no_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_input_mutation_bug_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_input_mutation_dynamic_shape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_input_mutation_static_shape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_leak_compile_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_linear_preserve_dynamic_shape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_max_nonstrict_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_max_onnx_reported_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_method_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_mod_constraints_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_preserve_linear_at_aot_level_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_preserve_linear_but_not_custom_op_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_rnn_variants_with_warning_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_scan_pytree_output_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_script_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_statically_known_true_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_then_compile_tensor_ctor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_autocast_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_fake_tensor_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_inline_constraints_complex_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_inline_constraints_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_set_grad_enabled_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_wrong_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_external_call_non_strict_real_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_fake_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_fake_weights_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_filter_traceback_frames_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_flex_attention_export_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_float_conversion_from_int_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_float_conversion_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_fqn_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_from_node_metadata_export_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_full_on_scalar_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_function_holding_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_hints_wrapper_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_hoo_inline_users_issue_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_if_functional_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_if_post_autograd_op_preserved_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_inductor_backend_inside_nonstrict_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_inline_script_class_method_recursive_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_inline_script_class_method_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_inline_script_function_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_inline_script_method_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_int_shape_specialization_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_intermediate_shape_comp_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_invalid_pytree_dynamo_graph_capture_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_is_exporting_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_is_nonzero_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_isnonzero_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_issue_113041_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_issue_157289_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_issue_161902_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_istft_op_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_keep_composite_ops_invalid_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_keep_composite_ops_linear_convd_for_training_ir_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_keep_composite_ops_linear_convd_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_kwarg_dynamic_shapes_diff_order_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_kwargs_reorder_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_layer_norm_unbacked_normalized_shape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_layer_sharing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_lazy_module_kwargs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_lifted_constants_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_linear_conv_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_malformed_fqn_from_source_name_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_map_buffers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_map_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_mask_nonzero_static_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_masked_select_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_math_pow_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_mismatched_dynamic_shapes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_mixed_input_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_dict_key_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_input_subclasses_parameterization_nested_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_input_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_list_slice_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_with_dict_container_inp_out_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_modules_access_for_deleted_submodule_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_more_multidimensional_slicing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_multidimensional_slicing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_multinomial_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_multiple_definitions_same_name_dim_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_namedtuple_input_export_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_native_multi_attention_head_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_dynamic_shapes_spec_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_fake_tensor_leak_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_with_constant_buffer_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_with_init_buffer_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_with_parameter_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nn_module_stack_shared_submodule_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nn_module_stack_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_check_is_size_error_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_suggested_fixes_for_data_dependent_errors_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_2_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_3_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_4_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_arg_name_dynamic_shapes_api_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_persistent_buffer_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_strict_dynamic_shapes_suggested_fixes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_strict_dynamic_shapes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_none_buffers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nonstrict_retrace_preserves_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nonzero_2_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nonzero_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_not_registered_parameter_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_operator_aten_tensor_mode_variant_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_output_node_name_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_pad_sequence_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_param_util_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_partial_patched_forward_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_collisions_hoo_subgraphs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_collisions_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_order_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_order_variadic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_update_preserving_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_predispatch_cond_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_predispatch_grad_wrappers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_preserve_annotation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_preserve_module_call_signature_unflatten_specialization_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_preserve_requires_grad_placeholders_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_preserve_shape_dynamism_for_unused_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_profiling_code_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_python_asserts_with_sym_int_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_pytree_register_data_class_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_pytree_register_nested_data_class_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_range_constraints_with_replacement_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_alias_dtype_mismatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_bool_cast_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_errors_on_aliasing_custom_op_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_for_max_op_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_size_mismatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_redundant_assert_max_upper_bound_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_redundant_asserts_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_refine_dynamic_shapes_from_suggested_fixes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_register_constant_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_repeat_interleave_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_replace_unbacked_with_very_large_upperbound_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_replaced_unbacked_bindings_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_reshape_view_helper_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_retracable_ep_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_retrace_pre_autograd_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_run_decomposition_supports_user_input_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_run_decompositions_keep_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_run_decompositions_keep_tensor_constant_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_runtime_assert_for_prim_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_runtime_assert_for_prm_str_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_runtime_assert_with_size_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sdpa_gqa_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sequential_slicing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_set_example_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_set_grad_as_side_effect_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_set_grad_empty_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_set_grad_unflatten_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_setgrad_lifted_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_shared_submodule_nn_module_stack_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_simple_export_for_training_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_simple_unbacked_view_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_size_input_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_slice_nn_module_stack_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_solver_unsupported_sympy_function_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_specialize_derived_dim_roots_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_split_const_gm_with_lifted_constants_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_stack_trace_make_fx_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_stack_trace_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_state_primitives_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_state_shape_attribute_assignment_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_state_tensors_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_static_dim_constraints_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_context_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_complicated_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_const_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_submodule_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclasses_parameterization_nested_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclasses_parameterization_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggest_torch_checks_with_non_negative_check_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggest_torch_checks_with_regular_check_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggested_fixes_for_data_dependent_errors_basic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggested_fixes_new_roots_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sym_float_operators_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sym_or_sym_and_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sym_sqrt_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symbool_item_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symfloat_item_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_additional_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_basic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_ranges_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_shapes_collection_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_specialization_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_item_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_output_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_tensor_return_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tag_ac_export_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tensor_attribute_zero_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tensor_constant_aten_to_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tensor_constant_with_wrapped_method_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_to_module_with_mutated_buffer_multiple_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_to_module_with_mutated_buffer_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tolist_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_torch_check_eq_commutativity_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_torch_fn_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_trace_under_fake_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_train_eval_on_exported_preautograd_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tril_dynamic_diagonal_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_triu_dynamic_diagonal_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_3d_matmul_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_bincount_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_bindings_for_divisible_u_symint_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_deferred_runtime_retrace_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_expand_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_infer_size_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_kth_value_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_linear_layer_norm_input_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_noncontig_lin_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_pad_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_scalar_constructor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_slice_forward_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_slice_simple_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_stack_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_to_cond_passthrough_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_to_cond_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_unsqueeze_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_asserts_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_buffer_update_child2parent_swap_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_closure_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_isinstance_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_multiple_graphs_dispatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_multiple_graphs_shared_submodule_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_multiple_graphs_state_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_no_unroll_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_placeholder_update_child2parent_swap_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_5_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_6_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_buf_8_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_const_preserving_3_1_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_const_preserving_3_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_4_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_6_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_9_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_preserving_4_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unused_aliases_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unused_constant_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_uplift_common_custom_meta_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_uplift_common_custom_meta_with_multiple_calls_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_use_embedding_twice_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_user_input_and_buffer_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_vmap_custom_autograd_function_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_vmap_to_assert_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_vmap_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_where_decomp_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_while_loop_assert_separation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_while_loop_index_assertions_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_while_loop_simple_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_while_loop_tensor_constant_idx_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_wrapper_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test__scaled_dot_product_flash_attention_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_additional_inputs_constants_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_allow_explicit_guards_as_runtime_asserts_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_annotate_on_assert_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_args_type_checked_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_aten_lift_fresh_copy_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_attention_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_attr_assignment_extra_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_automatic_constrain_size_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_automatic_dynamic_shapes_constant_relation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_automatic_dynamic_shapes_linear_relation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_automatic_dynamic_shapes_simple_equality_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_baddbmm_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_basic_non_strict_fake_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_basic_non_strict_real_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_bincount_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_buffer_util_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_capture_subclass_constructor_torch_ir_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_capture_subclass_constructor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_capture_subclass_wrong_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_ccode_python_mod_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cdist_forward_compute_mode_zero_export_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_check_specialized_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_checks_to_constrain_range_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cleanup_dynamic_markers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_colin_unbacked_backed_vr_sub_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_colon_parameter_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_compiling_state_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_access_identical_symint_closure_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_branches_return_constant_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_branches_return_same_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_contains_unbacked_no_escape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_int_closure_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_unflatten_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_with_module_stack_export_with_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_with_module_stack_export_with_unflatten_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_aliasing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_input_naming_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_no_user_inp_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_output_dup_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_output_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_requires_grad_const_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_return_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_tensor_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_tensor_with_non_functional_nested_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_tensor_with_non_functional_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_decomp_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_size_in_eager_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_size_with_constrain_value_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_size_with_various_cases_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_conv_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_crop_like_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cse_for_symint_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_auto_functionalize_pre_dispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_auto_functionalize_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_auto_warn_pre_dispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_preserve_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_pytree_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_tag_metadata_re_export_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_decomp_batch_norm_functional_predispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_decomp_item_in_prim_after_decomposition_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_decomp_item_in_prim_before_decomposition_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_default_decomposition_core_cia_ops_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_1_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_integer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_nested_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_repeat_derived_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_repeat_derived_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_detect_leak_nonstrict_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_detect_leak_nonstrict_with_stacktrace_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_detect_leak_strict_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_gpu_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_mutation_float_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_static_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_1_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_auto_and_dim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_dynamic_divisibility_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_dynamic_specialization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_hint_range_violations_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_hint_ranges_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_disable_forced_specializations_errors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_disable_forced_specializations_ok_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_all_gather_into_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_all_gather_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_all_reduce_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_all_to_all_single_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_reduce_scatter_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dont_duck_size_for_auto_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_double_lifted_constants_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_checks_aliasing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_checks_mutation_list_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_checks_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_checks_mutation_with_nan_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_fake_kernel_inference_errors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_infers_fake_kernel_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_duplicate_modules_with_non_persistent_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_lr_shift_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_bounds_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_builder_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_builder_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_builder_pytree_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_dataclass_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_inferred_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_serdes_generic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_serdes_user_errors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_serdes_various_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_spec_with_pytree_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_wrapped_with_shape_guards_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_sym_round_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_ends_of_bounds_oblivious_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_enum_str_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_error_does_not_reference_eager_fallback_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_error_when_passing_mutating_primitive_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_exception_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_expand_copy_export_handles_implicit_true_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_api_with_dynamic_shapes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_as_backend_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_associative_scan_lifted_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_associative_scan_symbol_dim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_associative_scan_symbol_scandim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_aten_to_unflatten_subclass_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_aten_to_unflatten_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cond_symbool_pred_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cond_warns_constant_pred_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_decomp_table_basic_pop_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_decomp_table_container_methods_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_op_lib_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_triton_kernel_mutable_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_triton_kernel_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cyclic_reference_leak_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomp_torture_case_1_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomp_torture_case_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomps_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomps_simple_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_dynamo_config_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_run_decomp_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_container_type_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_dynamic_shapes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_state_dict_hooks_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_default_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_keyword_only_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_pytree_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_var_keyword_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_var_keyword_pytree_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_var_postional_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_function_schema_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_graph_with_no_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_input_mutation_bug_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_input_mutation_dynamic_shape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_input_mutation_static_shape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_leak_compile_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_linear_preserve_dynamic_shape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_max_nonstrict_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_max_onnx_reported_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_method_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_mod_constraints_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_preserve_linear_at_aot_level_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_preserve_linear_but_not_custom_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_rnn_variants_with_warning_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_scan_pytree_output_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_script_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_statically_known_true_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_then_compile_tensor_ctor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_autocast_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_fake_tensor_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_inline_constraints_complex_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_inline_constraints_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_set_grad_enabled_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_wrong_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_external_call_non_strict_real_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_fake_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_fake_weights_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_filter_traceback_frames_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_flex_attention_export_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_float_conversion_from_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_float_conversion_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_fqn_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_from_node_metadata_export_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_full_on_scalar_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_function_holding_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_hints_wrapper_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_hoo_inline_users_issue_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_if_functional_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_if_post_autograd_op_preserved_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_inductor_backend_inside_nonstrict_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_inline_script_class_method_recursive_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_inline_script_class_method_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_inline_script_function_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_inline_script_method_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_int_shape_specialization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_intermediate_shape_comp_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_invalid_pytree_dynamo_graph_capture_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_is_exporting_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_is_nonzero_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_isnonzero_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_issue_113041_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_issue_157289_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_issue_161902_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_istft_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_keep_composite_ops_invalid_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_keep_composite_ops_linear_convd_for_training_ir_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_keep_composite_ops_linear_convd_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_kwarg_dynamic_shapes_diff_order_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_kwargs_reorder_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_layer_norm_unbacked_normalized_shape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_layer_sharing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_lazy_module_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_lifted_constants_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_linear_conv_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_malformed_fqn_from_source_name_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_map_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_map_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_mask_nonzero_static_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_masked_select_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_math_pow_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_mismatched_dynamic_shapes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_mixed_input_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_dict_key_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_input_subclasses_parameterization_nested_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_input_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_list_slice_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_with_dict_container_inp_out_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_modules_access_for_deleted_submodule_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_more_multidimensional_slicing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_multidimensional_slicing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_multinomial_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_multiple_definitions_same_name_dim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_namedtuple_input_export_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_native_multi_attention_head_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_dynamic_shapes_spec_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_fake_tensor_leak_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_with_constant_buffer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_with_init_buffer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_with_parameter_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nn_module_stack_shared_submodule_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nn_module_stack_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_check_is_size_error_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_suggested_fixes_for_data_dependent_errors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_3_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_4_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_persistent_buffer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_strict_dynamic_shapes_suggested_fixes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_strict_dynamic_shapes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_none_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nonstrict_retrace_preserves_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nonzero_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nonzero_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_not_registered_parameter_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_operator_aten_tensor_mode_variant_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_output_node_name_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_pad_sequence_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_param_util_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_partial_patched_forward_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_collisions_hoo_subgraphs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_collisions_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_order_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_order_variadic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_update_preserving_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_predispatch_cond_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_predispatch_grad_wrappers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_preserve_annotation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_preserve_module_call_signature_unflatten_specialization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_preserve_requires_grad_placeholders_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_preserve_shape_dynamism_for_unused_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_profiling_code_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_python_asserts_with_sym_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_pytree_register_data_class_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_pytree_register_nested_data_class_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_range_constraints_with_replacement_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_alias_dtype_mismatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_bool_cast_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_errors_on_aliasing_custom_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_for_max_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_size_mismatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_redundant_assert_max_upper_bound_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_redundant_asserts_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_refine_dynamic_shapes_from_suggested_fixes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_register_constant_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_repeat_interleave_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_replace_unbacked_with_very_large_upperbound_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_replaced_unbacked_bindings_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_reshape_view_helper_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_retracable_ep_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_retrace_pre_autograd_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_run_decomposition_supports_user_input_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_run_decompositions_keep_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_run_decompositions_keep_tensor_constant_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_runtime_assert_for_prim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_runtime_assert_for_prm_str_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_runtime_assert_with_size_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sdpa_gqa_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sequential_slicing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_set_example_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_set_grad_as_side_effect_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_set_grad_empty_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_set_grad_unflatten_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_setgrad_lifted_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_shared_submodule_nn_module_stack_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_simple_export_for_training_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_simple_unbacked_view_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_size_input_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_slice_nn_module_stack_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_solver_unsupported_sympy_function_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_specialize_derived_dim_roots_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_split_const_gm_with_lifted_constants_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_stack_trace_make_fx_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_stack_trace_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_state_primitives_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_state_shape_attribute_assignment_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_state_tensors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_static_dim_constraints_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_context_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_complicated_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_const_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_submodule_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclasses_parameterization_nested_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclasses_parameterization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggest_torch_checks_with_non_negative_check_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggest_torch_checks_with_regular_check_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggested_fixes_new_roots_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sym_float_operators_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sym_or_sym_and_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sym_sqrt_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symbool_item_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symfloat_item_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_additional_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_ranges_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_shapes_collection_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_specialization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_item_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_output_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_tensor_return_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tag_ac_export_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tensor_attribute_zero_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tensor_constant_aten_to_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tensor_constant_with_wrapped_method_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_to_module_with_mutated_buffer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tolist_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_torch_check_eq_commutativity_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_torch_fn_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_trace_under_fake_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_train_eval_on_exported_preautograd_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tril_dynamic_diagonal_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_triu_dynamic_diagonal_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_3d_matmul_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_bincount_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_bindings_for_divisible_u_symint_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_deferred_runtime_retrace_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_expand_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_infer_size_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_kth_value_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_linear_layer_norm_input_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_noncontig_lin_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_pad_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_scalar_constructor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_slice_forward_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_slice_simple_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_stack_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_to_cond_passthrough_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_to_cond_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_unsqueeze_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_asserts_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_buffer_update_child2parent_swap_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_closure_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_isinstance_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_multiple_graphs_dispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_multiple_graphs_shared_submodule_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_multiple_graphs_state_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_no_unroll_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_placeholder_update_child2parent_swap_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_5_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_6_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_buf_8_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_const_preserving_3_1_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_const_preserving_3_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_4_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_6_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_9_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_preserving_4_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unused_aliases_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unused_constant_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_uplift_common_custom_meta_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_uplift_common_custom_meta_with_multiple_calls_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_use_embedding_twice_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_user_input_and_buffer_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_vmap_custom_autograd_function_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_vmap_to_assert_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_vmap_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_where_decomp_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_while_loop_assert_separation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_while_loop_index_assertions_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_while_loop_simple_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_while_loop_tensor_constant_idx_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_wrapper_module_training_ir_to_decomp_nonstrict 2025-12-04T16:46:43.7319473Z 2025-12-04T16:46:43.7319943Z Finished export/test_export_training_ir_to_run_decomp 1/1 ... [2025-12-04 16:46:43.587753][26039.337295566], took 7.50min 2025-12-04T16:46:43.7321521Z Parsing testcases for test report: /var/lib/jenkins/workspace/test/test-reports/python-pytest/export.test_export_training_ir_to_run_decomp/export.test_export_training_ir_to_run_decomp-bf5a29a7757c9592.xml 2025-12-04T16:46:43.7472700Z Running inductor/test_cooperative_reductions 1/1 ... [2025-12-04 16:46:43.747031][26039.496576638] 2025-12-04T16:46:43.7473351Z SCRIBE_GRAPHQL_ACCESS_TOKEN is set 2025-12-04T16:46:43.7476810Z Executing ['/opt/conda/envs/py_3.10/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-12-04 16:46:43.747422] 2025-12-04T19:17:02.8452695Z ##[error]The action 'Test' has timed out after 570 minutes. 2025-12-04T19:17:02.8527110Z Prepare all required actions 2025-12-04T19:17:02.8527844Z Getting action download info 2025-12-04T19:17:03.0189176Z ##[group]Run ./.github/actions/pytest-cache-upload 2025-12-04T19:17:03.0189572Z with: 2025-12-04T19:17:03.0189833Z cache_dir: .pytest_cache 2025-12-04T19:17:03.0190149Z shard: 5 2025-12-04T19:17:03.0190421Z sha: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T19:17:03.0190830Z test_config: legacy_nvidia_driver 2025-12-04T19:17:03.0191271Z job_identifier: periodic_linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T19:17:03.0191698Z env: 2025-12-04T19:17:03.0191952Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:03.0192262Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:03.0192617Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:03.0193277Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:03.0193871Z ##[endgroup] 2025-12-04T19:17:03.0231486Z ##[group]Run nick-fields/retry@v3.0.0 2025-12-04T19:17:03.0231891Z with: 2025-12-04T19:17:03.0232115Z shell: bash 2025-12-04T19:17:03.0232372Z timeout_minutes: 5 2025-12-04T19:17:03.0232651Z max_attempts: 5 2025-12-04T19:17:03.0232910Z retry_wait_seconds: 30 2025-12-04T19:17:03.0233297Z command: set -eu python3 -m pip install boto3==1.35.42 2025-12-04T19:17:03.0233748Z polling_interval_seconds: 1 2025-12-04T19:17:03.0234223Z warning_on_retry: true 2025-12-04T19:17:03.0234506Z continue_on_error: false 2025-12-04T19:17:03.0234796Z env: 2025-12-04T19:17:03.0235036Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:03.0235325Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:03.0235685Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:03.0236349Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:03.0236925Z ##[endgroup] 2025-12-04T19:17:03.4039265Z Defaulting to user installation because normal site-packages is not writeable 2025-12-04T19:17:04.6457918Z Collecting boto3==1.35.42 2025-12-04T19:17:04.6649671Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-12-04T19:17:04.6830354Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3==1.35.42) (0.10.0) 2025-12-04T19:17:06.1558185Z Collecting botocore<1.36.0,>=1.35.42 2025-12-04T19:17:06.1603883Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-12-04T19:17:06.3751246Z Collecting s3transfer<0.11.0,>=0.10.0 2025-12-04T19:17:06.3796519Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-12-04T19:17:06.3920414Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (2.8.1) 2025-12-04T19:17:06.3933419Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.25.10) 2025-12-04T19:17:06.6740769Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.15.0) 2025-12-04T19:17:06.7791348Z Installing collected packages: botocore, s3transfer, boto3 2025-12-04T19:17:07.4405954Z Successfully installed boto3-1.35.42 botocore-1.35.99 s3transfer-0.10.4 2025-12-04T19:17:08.1143108Z Command completed after 1 attempt(s). 2025-12-04T19:17:08.1198112Z ##[group]Run python3 .github/scripts/pytest_cache.py \ 2025-12-04T19:17:08.1198660Z python3 .github/scripts/pytest_cache.py \ 2025-12-04T19:17:08.1199076Z  --upload \ 2025-12-04T19:17:08.1199443Z  --cache_dir "$GITHUB_WORKSPACE/$CACHE_DIR" \ 2025-12-04T19:17:08.1199888Z  --pr_identifier "$GITHUB_REF" \ 2025-12-04T19:17:08.1200305Z  --job_identifier "$JOB_IDENTIFIER" \ 2025-12-04T19:17:08.1200696Z  --sha "$SHA" \ 2025-12-04T19:17:08.1201012Z  --test_config "$TEST_CONFIG" \ 2025-12-04T19:17:08.1201385Z  --shard "$SHARD" \ 2025-12-04T19:17:08.1201908Z  --repo "$REPO" \ 2025-12-04T19:17:08.1202237Z  --temp_dir "$RUNNER_TEMP" \ 2025-12-04T19:17:08.1214036Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T19:17:08.1214485Z env: 2025-12-04T19:17:08.1214742Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:08.1215038Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:08.1215415Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:08.1216087Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:08.1216691Z CACHE_DIR: .pytest_cache 2025-12-04T19:17:08.1217101Z JOB_IDENTIFIER: periodic_linux-jammy-cuda12.4-py3.10-gcc11 2025-12-04T19:17:08.1217594Z SHA: ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32 2025-12-04T19:17:08.1217984Z TEST_CONFIG: legacy_nvidia_driver 2025-12-04T19:17:08.1218317Z SHARD: 5 2025-12-04T19:17:08.1218563Z REPO: pytorch/pytorch 2025-12-04T19:17:08.1218849Z ##[endgroup] 2025-12-04T19:17:08.5404867Z PR identifier for `refs/heads/main` is `96e092540d6b3c4076e3d2bc6f1f9013` 2025-12-04T19:17:08.5407312Z Uploading cache with args Namespace(upload=True, download=False, cache_dir='/home/ec2-user/actions-runner/_work/pytorch/pytorch/.pytest_cache', pr_identifier='refs/heads/main', job_identifier='periodic_linux-jammy-cuda12.4-py3.10-gcc11', sha='ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32', test_config='legacy_nvidia_driver', shard='5', repo='pytorch/pytorch', temp_dir='/home/ec2-user/actions-runner/_work/_temp', bucket=None) 2025-12-04T19:17:08.5409953Z Zipping /home/ec2-user/actions-runner/_work/pytorch/pytorch/.pytest_cache 2025-12-04T19:17:08.5411593Z to /home/ec2-user/actions-runner/_work/_temp/zip-upload/pytest_cache/pytorch/pytorch/96e092540d6b3c4076e3d2bc6f1f9013/periodic_linux-jammy-cuda12_4-py3_10-gcc11/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32/legacy_nvidia_driver/5 2025-12-04T19:17:08.5414069Z Uploading /home/ec2-user/actions-runner/_work/_temp/zip-upload/pytest_cache/pytorch/pytorch/96e092540d6b3c4076e3d2bc6f1f9013/periodic_linux-jammy-cuda12_4-py3_10-gcc11/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32/legacy_nvidia_driver/5.zip 2025-12-04T19:17:08.5416416Z to s3://gha-artifacts/pytest_cache/pytorch/pytorch/96e092540d6b3c4076e3d2bc6f1f9013/periodic_linux-jammy-cuda12_4-py3_10-gcc11/ffd9b0fb4355e97af82fc42cf185c3ffa0fc0a32/legacy_nvidia_driver/5.zip 2025-12-04T19:17:08.6106279Z ##[group]Run cat test/**/*_toprint.log || true 2025-12-04T19:17:08.6106767Z cat test/**/*_toprint.log || true 2025-12-04T19:17:08.6113568Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T19:17:08.6114013Z env: 2025-12-04T19:17:08.6114270Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:08.6114564Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:08.6114923Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:08.6115586Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:08.6116180Z ##[endgroup] 2025-12-04T19:17:08.6220106Z Test results will be stored in test-reports/python-pytest/inductor.test_cooperative_reductions/inductor.test_cooperative_reductions-2a1f6add2161f2c6.xml 2025-12-04T19:17:08.6221135Z ============================= test session starts ============================== 2025-12-04T19:17:08.6222006Z platform linux -- Python 3.10.14, pytest-7.3.2, pluggy-1.6.0 -- /opt/conda/envs/py_3.10/bin/python 2025-12-04T19:17:08.6222801Z cachedir: .pytest_cache 2025-12-04T19:17:08.6223531Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2025-12-04T19:17:08.6224325Z rootdir: /var/lib/jenkins/workspace 2025-12-04T19:17:08.6224686Z configfile: pytest.ini 2025-12-04T19:17:08.6225457Z plugins: hypothesis-6.56.4, cpp-2.3.0, flakefinder-1.1.0, rerunfailures-14.0, subtests-0.13.1, xdist-3.3.1, xdoctest-1.3.0, anyio-4.12.0, typeguard-4.3.0 2025-12-04T19:17:08.6227409Z collecting ... /var/lib/jenkins/workspace/test/inductor/test_cooperative_reductions.py:24: PytestCollectionWarning: cannot collect test class 'TestingHeuristics' because it has a __init__ constructor (from: test/inductor/test_cooperative_reductions.py) 2025-12-04T19:17:08.6228939Z class TestingHeuristics(InductorChoices): 2025-12-04T19:17:08.6229313Z collected 163 items 2025-12-04T19:17:08.6229668Z stepcurrent: Cannot find last run test, not skipping 2025-12-04T19:17:08.6331137Z Running 163 items in this shard: test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_bool_reduction_fns, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_chained_reductions, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_15_count_1024, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_15_count_1048575, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_15_count_1048577, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_1_count_1024, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_1_count_1048575, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_1_count_1048577, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_2_count_1024, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_2_count_1048575, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_2_count_1048577, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_5_count_1024, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_5_count_1048575, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_5_count_1048577, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduce_split, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amax_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amax_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amax_float64, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amin_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amin_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amin_float64, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_max_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_max_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_max_float64, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_mean_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_mean_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_mean_float64, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_min_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_min_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_min_float64, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_prod_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_prod_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_prod_float64, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_softmax_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_softmax_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_softmax_float64, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_std_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_std_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_std_float64, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_sum_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_sum_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_sum_float64, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_var_mean_float16, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_var_mean_float32, test/inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_var_mean_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_bool_reduction_fns, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_chained_reductions, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_15_count_1024, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_15_count_1048575, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_15_count_1048577, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_1_count_1024, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_1_count_1048575, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_1_count_1048577, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_2_count_1024, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_2_count_1048575, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_2_count_1048577, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_5_count_1024, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_5_count_1048575, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_non_power_of_2_bs_5_count_1048577, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduce_split, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_amax_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_amax_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_amax_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_amin_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_amin_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_amin_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_max_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_max_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_max_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_mean_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_mean_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_mean_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_min_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_min_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_min_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_prod_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_prod_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_prod_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_softmax_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_softmax_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_softmax_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_std_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_std_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_std_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_sum_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_sum_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_sum_float64, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_var_mean_float16, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_var_mean_float32, test/inductor/test_cooperative_reductions.py::NoPersistCooperativeReductionTests::test_reduction_fns_name_var_mean_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_bool_reduction_fns, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_chained_reductions, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_15_count_1024, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_15_count_1048575, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_15_count_1048577, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_1_count_1024, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_1_count_1048575, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_1_count_1048577, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_2_count_1024, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_2_count_1048575, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_2_count_1048577, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_5_count_1024, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_5_count_1048575, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_non_power_of_2_bs_5_count_1048577, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduce_split, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_amax_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_amax_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_amax_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_amin_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_amin_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_amin_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_max_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_max_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_max_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_mean_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_mean_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_mean_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_min_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_min_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_min_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_prod_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_prod_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_prod_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_softmax_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_softmax_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_softmax_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_std_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_std_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_std_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_sum_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_sum_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_sum_float64, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_var_mean_float16, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_var_mean_float32, test/inductor/test_cooperative_reductions.py::MultiKernelCooperativeReductionTests::test_reduction_fns_name_var_mean_float64, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_config_with_larger_xblock_than_xnumel_persistent_False_rsplit_32, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_config_with_larger_xblock_than_xnumel_persistent_False_rsplit_33, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_config_with_larger_xblock_than_xnumel_persistent_True_rsplit_32, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_config_with_larger_xblock_than_xnumel_persistent_True_rsplit_33, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_False_cooperative_False_cfg0, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_False_cooperative_False_cfg1, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_False_cooperative_True_cfg4, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_False_cooperative_True_cfg5, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_False_cooperative_True_cfg8, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_False_cooperative_True_cfg9, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_True_cooperative_False_cfg2, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_True_cooperative_False_cfg3, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_True_cooperative_True_cfg10, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_True_cooperative_True_cfg11, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_True_cooperative_True_cfg6, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_fixed_configs_persistent_True_cooperative_True_cfg7, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_min_max_non_power_of_2_rsplit_persistent_False, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_min_max_non_power_of_2_rsplit_persistent_True, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_False_x_1_r_8000_rsplit_17, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_False_x_1_r_8192_rsplit_33, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_False_x_3_r_8192_rsplit_17, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_False_x_4_r_8123_rsplit_33, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_False_x_9_r_8000_rsplit_17, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_True_x_1_r_7567_rsplit_17, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_True_x_1_r_8192_rsplit_17, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_True_x_3_r_8192_rsplit_40, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_True_x_4_r_8000_rsplit_17, test/inductor/test_cooperative_reductions.py::TestFixedConfigs::test_welford_non_power_of_2_rsplit_persistent_True_x_9_r_8000_rsplit_37 2025-12-04T19:17:08.6432627Z 2025-12-04T19:17:08.6433170Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_bool_reduction_fns PASSED [5.2872s] [ 0%] 2025-12-04T19:17:08.6434343Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_chained_reductions PASSED [2.2993s] [ 1%] 2025-12-04T19:17:08.6435538Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_15_count_1024 PASSED [0.4428s] [ 1%] 2025-12-04T19:17:08.6436783Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_15_count_1048575 PASSED [0.7972s] [ 2%] 2025-12-04T19:17:08.6438049Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_15_count_1048577 PASSED [0.7992s] [ 3%] 2025-12-04T19:17:08.6439315Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_1_count_1024 PASSED [0.7120s] [ 3%] 2025-12-04T19:17:08.6440564Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_1_count_1048575 PASSED [0.7944s] [ 4%] 2025-12-04T19:17:08.6441815Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_1_count_1048577 PASSED [0.7923s] [ 4%] 2025-12-04T19:17:08.6443058Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_2_count_1024 PASSED [0.7207s] [ 5%] 2025-12-04T19:17:08.6444300Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_2_count_1048575 PASSED [0.7907s] [ 6%] 2025-12-04T19:17:08.6445548Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_2_count_1048577 PASSED [0.7927s] [ 6%] 2025-12-04T19:17:08.6446780Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_5_count_1024 PASSED [0.7259s] [ 7%] 2025-12-04T19:17:08.6448028Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_5_count_1048575 PASSED [0.7938s] [ 7%] 2025-12-04T19:17:08.6449478Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_non_power_of_2_bs_5_count_1048577 PASSED [0.7938s] [ 8%] 2025-12-04T19:17:08.6450653Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduce_split PASSED [0.7927s] [ 9%] 2025-12-04T19:17:08.6451876Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amax_float16 PASSED [0.5643s] [ 9%] 2025-12-04T19:17:08.6453139Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amax_float32 PASSED [0.5589s] [ 10%] 2025-12-04T19:17:08.6454409Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amax_float64 PASSED [0.5751s] [ 11%] 2025-12-04T19:17:08.6455676Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amin_float16 PASSED [0.2580s] [ 11%] 2025-12-04T19:17:08.6457072Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amin_float32 PASSED [0.2542s] [ 12%] 2025-12-04T19:17:08.6458340Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_amin_float64 PASSED [0.2671s] [ 12%] 2025-12-04T19:17:08.6459605Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_max_float16 PASSED [0.4094s] [ 13%] 2025-12-04T19:17:08.6460866Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_max_float32 PASSED [0.3974s] [ 14%] 2025-12-04T19:17:08.6462108Z 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inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_min_float64 PASSED [0.4226s] [ 18%] 2025-12-04T19:17:08.6470987Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_prod_float16 PASSED [0.2518s] [ 19%] 2025-12-04T19:17:08.6472233Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_prod_float32 PASSED [0.2362s] [ 19%] 2025-12-04T19:17:08.6473489Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_prod_float64 PASSED [0.2602s] [ 20%] 2025-12-04T19:17:08.6474776Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_softmax_float16 PASSED [0.4679s] [ 20%] 2025-12-04T19:17:08.6476073Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_softmax_float32 PASSED [0.4462s] [ 21%] 2025-12-04T19:17:08.6477358Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_softmax_float64 PASSED [0.5416s] [ 22%] 2025-12-04T19:17:08.6478636Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_std_float16 PASSED [0.3939s] [ 22%] 2025-12-04T19:17:08.6479891Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_std_float32 PASSED [0.3810s] [ 23%] 2025-12-04T19:17:08.6481043Z inductor/test_cooperative_reductions.py::CooperativeReductionTests::test_reduction_fns_name_std_float64 2025-12-04T19:17:08.6527371Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-12-04T19:17:08.6527817Z kill "$MONITOR_SCRIPT_PID" 2025-12-04T19:17:08.6534646Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T19:17:08.6535080Z env: 2025-12-04T19:17:08.6535332Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:08.6535643Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:08.6535994Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:08.6536658Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:08.6537271Z MONITOR_SCRIPT_PID: 68146 2025-12-04T19:17:08.6537577Z ##[endgroup] 2025-12-04T19:17:08.6565840Z /home/ec2-user/actions-runner/_work/_temp/5489be1d-71e1-4490-90e8-57863a3bc28e.sh: line 1: kill: (68146) - No such process 2025-12-04T19:17:08.6568417Z ##[error]Process completed with exit code 1. 2025-12-04T19:17:08.6712616Z Prepare all required actions 2025-12-04T19:17:08.6713175Z Getting action download info 2025-12-04T19:17:08.8291851Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-12-04T19:17:09.0970604Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-12-04T19:17:09.5630629Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-12-04T19:17:09.5631056Z with: 2025-12-04T19:17:09.5631527Z file-suffix: test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297 2025-12-04T19:17:09.5632128Z s3-bucket: gha-artifacts 2025-12-04T19:17:09.5632427Z env: 2025-12-04T19:17:09.5632660Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:09.5632970Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:09.5633336Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:09.5633986Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:09.5634644Z ##[endgroup] 2025-12-04T19:17:09.5662174Z ##[group]Run # Remove any previous test jsons if they exist 2025-12-04T19:17:09.5662809Z # Remove any previous test jsons if they exist 2025-12-04T19:17:09.5663247Z rm -f test-jsons-*.zip 2025-12-04T19:17:09.5663746Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-12-04T19:17:09.5670682Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T19:17:09.5671104Z env: 2025-12-04T19:17:09.5671359Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:09.5671668Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:09.5672018Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:09.5672680Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:09.5673508Z FILE_SUFFIX: test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297 2025-12-04T19:17:09.5674083Z ##[endgroup] 2025-12-04T19:17:09.5855453Z adding: test/test-reports/td_exclusions-400027cdef7351fe7fd6.json (deflated 82%) 2025-12-04T19:17:09.5861458Z adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-47b146c0aedc1125.json (deflated 91%) 2025-12-04T19:17:09.5870514Z adding: test/test-reports/python-pytest/inductor.test_aot_inductor/inductor.test_aot_inductor-f1669169a1ee3356.json (deflated 95%) 2025-12-04T19:17:09.5879536Z adding: 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NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:09.9213751Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:09.9214678Z FILE_SUFFIX: test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297 2025-12-04T19:17:09.9215239Z ##[endgroup] 2025-12-04T19:17:09.9277771Z adding: usage_log.txt (deflated 58%) 2025-12-04T19:17:09.9337845Z adding: test/test-reports/inductor.test_aot_inductor_5.6_1a7663c7a9d85bc4_.log (deflated 94%) 2025-12-04T19:17:09.9356677Z adding: test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.5_fb4eb20ea6243af3_.log (deflated 91%) 2025-12-04T19:17:09.9377471Z adding: test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.4_dc1bcbffc016889a_.log (deflated 92%) 2025-12-04T19:17:09.9384404Z adding: test/test-reports/inductor.test_torchinductor_opinfo_1.17_98ab2e627f29baea_.log (deflated 90%) 2025-12-04T19:17:09.9396765Z adding: 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2025-12-04T19:17:09.9657863Z adding: test/test-reports/inductor.test_op_dtype_prop_2.2_3e40b5683d4cec18_.log (deflated 98%) 2025-12-04T19:17:09.9658777Z adding: test/test-reports/inductor.test_custom_op_autotune_1.1_ab3a422394520a42_.log (deflated 60%) 2025-12-04T19:17:09.9661211Z adding: test/test-reports/dynamo.test_decorators_1.1_36c65cfdbdd72b7f_.log (deflated 85%) 2025-12-04T19:17:09.9662129Z adding: test/test-reports/test_privateuseone_python_backend_1.1_c2821f6fd111754e_.log (deflated 58%) 2025-12-04T19:17:09.9663375Z adding: test/test-reports/test_varlen_attention_1.1_19ad7bcda8f0a124_.log (deflated 87%) 2025-12-04T19:17:09.9674833Z adding: test/test-reports/test_cuda_1.1_96232d7fba7a63bb_.log (deflated 87%) 2025-12-04T19:17:09.9693834Z adding: test/test-reports/higher_order_ops.test_invoke_subgraph_1.1_7f537c7a4c7f2ac3_.log (deflated 95%) 2025-12-04T19:17:09.9709672Z adding: test/test-reports/test_decomp_1.17_5ccbb32cc72203a6_.log (deflated 89%) 2025-12-04T19:17:09.9725058Z adding: test/test-reports/test_decomp_6.17_83d6619cedbe2efe_.log (deflated 89%) 2025-12-04T19:17:09.9740283Z adding: test/test-reports/test_decomp_11.17_f1b4077b2770ceb5_.log (deflated 89%) 2025-12-04T19:17:09.9754846Z adding: test/test-reports/test_decomp_16.17_8ae2a77759a884d9_.log (deflated 89%) 2025-12-04T19:17:09.9966917Z adding: test/test-reports/test_meta_4.5_aee26956c3c36c94_.log (deflated 93%) 2025-12-04T19:17:10.0040633Z adding: test/test-reports/test_ops_gradients_2.2_dfe056675ccb817e_.log (deflated 94%) 2025-12-04T19:17:10.0048436Z adding: test/test-reports/test_cuda_expandable_segments_1.1_5a43a97c379ac2cb_.log (deflated 87%) 2025-12-04T19:17:10.0131583Z adding: test/test-reports/test_ops_3.11_918497660b2085b6_.log (deflated 91%) 2025-12-04T19:17:10.0217898Z adding: test/test-reports/test_ops_8.11_30d7e5ad6289261a_.log (deflated 91%) 2025-12-04T19:17:10.0285401Z adding: test/test-reports/test_sparse_csr_1.2_f4eef7c97ea0e251_.log (deflated 95%) 2025-12-04T19:17:10.0325685Z adding: test/test-reports/functorch.test_ops_4.7_67c10c4ca21e0494_.log (deflated 92%) 2025-12-04T19:17:10.0353815Z adding: test/test-reports/test_overrides_1.1_140f4f6fbd1922ff_.log (deflated 93%) 2025-12-04T19:17:10.0356380Z adding: test/test-reports/test_torchfuzz_repros_1.1_30749687cf75c600_.log (deflated 89%) 2025-12-04T19:17:10.0510925Z adding: test/test-reports/dynamo.test_dynamic_shapes_1.1_78104ffcd01d4add_.log (deflated 91%) 2025-12-04T19:17:10.0514648Z adding: test/test-reports/inductor.test_mkldnn_pattern_matcher_1.3_dc44ac64682b9938_.log (deflated 91%) 2025-12-04T19:17:10.0515592Z adding: test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_cf5664605d628da1_.log (deflated 7%) 2025-12-04T19:17:10.0525714Z adding: test/test-reports/inductor.test_torchinductor_strided_blocks_1.1_6c92204558d14f4f_.log (deflated 95%) 2025-12-04T19:17:10.0526645Z adding: test/test-reports/test_content_store_1.1_1cfdeb82041718e9_.log (deflated 61%) 2025-12-04T19:17:10.0527793Z adding: test/test-reports/inductor.test_multi_kernel_1.1_e740c4de1c9b3d07_.log (deflated 77%) 2025-12-04T19:17:10.0528692Z adding: test/test-reports/inductor.test_b2b_gemm_1.1_98b6e569596b193b_.log (deflated 49%) 2025-12-04T19:17:10.0529590Z adding: test/test-reports/inductor.test_triton_heuristics_1.1_d517220e09ca2f97_.log (deflated 73%) 2025-12-04T19:17:10.0578265Z adding: test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_1f463c19b9f02f67_.log (deflated 93%) 2025-12-04T19:17:10.0580865Z adding: test/test-reports/inductor.test_cooperative_reductions_1.1_veywczsc_toprint.log (deflated 93%) 2025-12-04T19:17:10.0610658Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-12-04T19:17:10.0611367Z # Remove any previous debugging artifacts if they exist 2025-12-04T19:17:10.0611841Z rm -f debug-*.zip 2025-12-04T19:17:10.0612169Z if [ -d 'test/debug' ]; then 2025-12-04T19:17:10.0612584Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-12-04T19:17:10.0612968Z fi 2025-12-04T19:17:10.0619641Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T19:17:10.0620083Z env: 2025-12-04T19:17:10.0620338Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:10.0620744Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:10.0621110Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:10.0621779Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:10.0622603Z FILE_SUFFIX: test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297 2025-12-04T19:17:10.0623163Z ##[endgroup] 2025-12-04T19:17:10.0753531Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T19:17:10.0753913Z with: 2025-12-04T19:17:10.0754173Z s3-bucket: gha-artifacts 2025-12-04T19:17:10.0754548Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T19:17:10.0754959Z retention-days: 14 2025-12-04T19:17:10.0755238Z if-no-files-found: warn 2025-12-04T19:17:10.0755551Z path: test-jsons-*.zip 2025-12-04T19:17:10.0755840Z name: artifact 2025-12-04T19:17:10.0756255Z region: us-east-1 2025-12-04T19:17:10.0756525Z env: 2025-12-04T19:17:10.0756765Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:10.0757081Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:10.0757448Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:10.0758114Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:10.0758696Z ##[endgroup] 2025-12-04T19:17:10.4722020Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T19:17:10.4722582Z With the provided path, there will be 1 file uploaded 2025-12-04T19:17:10.4723122Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T19:17:10.4778373Z Starting upload of test-jsons-test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297.zip 2025-12-04T19:17:10.6616967Z Finished upload of test-jsons-test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297.zip 2025-12-04T19:17:10.6791684Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T19:17:10.6792091Z with: 2025-12-04T19:17:10.6792343Z s3-bucket: gha-artifacts 2025-12-04T19:17:10.6792806Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T19:17:10.6793222Z retention-days: 14 2025-12-04T19:17:10.6793501Z if-no-files-found: error 2025-12-04T19:17:10.6793817Z path: test-reports-*.zip 2025-12-04T19:17:10.6794123Z name: artifact 2025-12-04T19:17:10.6794367Z region: us-east-1 2025-12-04T19:17:10.6794624Z env: 2025-12-04T19:17:10.6794859Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:10.6795151Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:10.6795514Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:10.6796176Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:10.6796757Z ##[endgroup] 2025-12-04T19:17:11.0679029Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T19:17:11.0679918Z With the provided path, there will be 1 file uploaded 2025-12-04T19:17:11.0680888Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T19:17:11.0737291Z Starting upload of test-reports-test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297.zip 2025-12-04T19:17:11.2785744Z Finished upload of test-reports-test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297.zip 2025-12-04T19:17:11.2962764Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T19:17:11.2963163Z with: 2025-12-04T19:17:11.2963408Z s3-bucket: gha-artifacts 2025-12-04T19:17:11.2963787Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T19:17:11.2964203Z retention-days: 14 2025-12-04T19:17:11.2964484Z if-no-files-found: ignore 2025-12-04T19:17:11.2964799Z path: logs-*.zip 2025-12-04T19:17:11.2965071Z name: artifact 2025-12-04T19:17:11.2965318Z region: us-east-1 2025-12-04T19:17:11.2965582Z env: 2025-12-04T19:17:11.2965827Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:11.2966123Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:11.2966506Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:11.2967173Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:11.2967887Z ##[endgroup] 2025-12-04T19:17:11.6605262Z NOTE: s3-prefix specified, ignoring name parameter 2025-12-04T19:17:11.6606258Z With the provided path, there will be 1 file uploaded 2025-12-04T19:17:11.6606924Z Uploading to s3 prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T19:17:11.6661594Z Starting upload of logs-test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297.zip 2025-12-04T19:17:11.8778855Z Finished upload of logs-test-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu_57119749297.zip 2025-12-04T19:17:11.8957155Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-12-04T19:17:11.8957798Z with: 2025-12-04T19:17:11.8958205Z s3-bucket: gha-artifacts 2025-12-04T19:17:11.8958822Z s3-prefix: pytorch/pytorch/19922826259/1/artifact 2025-12-04T19:17:11.8959520Z retention-days: 14 2025-12-04T19:17:11.8961250Z if-no-files-found: ignore 2025-12-04T19:17:11.8961858Z path: debug-*.zip 2025-12-04T19:17:11.8962310Z name: artifact 2025-12-04T19:17:11.8962745Z region: us-east-1 2025-12-04T19:17:11.8963163Z env: 2025-12-04T19:17:11.8963571Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:11.8964109Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:11.8964744Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:11.8965938Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:11.8966964Z ##[endgroup] 2025-12-04T19:17:12.2504074Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-12-04T19:17:12.2674391Z ##[group]Run # shellcheck disable=SC2156 2025-12-04T19:17:12.2674837Z # shellcheck disable=SC2156 2025-12-04T19:17:12.2675530Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-12-04T19:17:12.2682489Z shell: /usr/bin/bash -e {0} 2025-12-04T19:17:12.2682808Z env: 2025-12-04T19:17:12.2683060Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:12.2683475Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:12.2683836Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:12.2684507Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:12.2685106Z ##[endgroup] 2025-12-04T19:17:12.6351186Z ##[group]Run seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a 2025-12-04T19:17:12.6351762Z with: 2025-12-04T19:17:12.6352184Z name: coredumps-legacy_nvidia_driver-5-5-linux.g4dn.4xlarge.nvidia.gpu 2025-12-04T19:17:12.6352714Z retention-days: 14 2025-12-04T19:17:12.6353009Z if-no-files-found: ignore 2025-12-04T19:17:12.6353315Z path: ./**/core.[1-9]* 2025-12-04T19:17:12.6353620Z s3-bucket: gha-artifacts 2025-12-04T19:17:12.6353923Z region: us-east-1 2025-12-04T19:17:12.6354168Z env: 2025-12-04T19:17:12.6354405Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:12.6354710Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:12.6355059Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:12.6355733Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:12.6356336Z ##[endgroup] 2025-12-04T19:17:21.8360291Z No files were found with the provided path: ./**/core.[1-9]*. No artifacts will be uploaded. 2025-12-04T19:17:21.8610789Z Prepare all required actions 2025-12-04T19:17:21.8611332Z Getting action download info 2025-12-04T19:17:22.0386818Z Download action repository 'actions/setup-python@v6' (SHA:83679a892e2d95755f2dac6acb0bfd1e9ac5d548) 2025-12-04T19:17:22.3985883Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-12-04T19:17:22.3986295Z with: 2025-12-04T19:17:22.3986533Z job_id: 57119749297 2025-12-04T19:17:22.3987257Z job_name: linux-jammy-cuda12.4-py3.10-gcc11 / test (legacy_nvidia_driver, 5, 5, linux.g4dn.4xlarge.nvidia.gpu, mem_leak_check, unstable) 2025-12-04T19:17:22.3988060Z workflow_name: periodic 2025-12-04T19:17:22.3988362Z workflow_run_id: 19922826259 2025-12-04T19:17:22.3988681Z workflow_attempt: 1 2025-12-04T19:17:22.3988969Z env: 2025-12-04T19:17:22.3989297Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:22.3989602Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:22.3989967Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:22.3990667Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:22.3991251Z ##[endgroup] 2025-12-04T19:17:22.4033737Z ##[group]Run actions/setup-python@v6 2025-12-04T19:17:22.4034101Z with: 2025-12-04T19:17:22.4034357Z python-version: 3.10 2025-12-04T19:17:22.4034645Z check-latest: false 2025-12-04T19:17:22.4035047Z token: *** 2025-12-04T19:17:22.4035323Z update-environment: true 2025-12-04T19:17:22.4035657Z allow-prereleases: false 2025-12-04T19:17:22.4035962Z freethreaded: false 2025-12-04T19:17:22.4036246Z env: 2025-12-04T19:17:22.4036489Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:22.4036782Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:22.4037147Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:22.4037826Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:22.4038410Z ##[endgroup] 2025-12-04T19:17:22.5626403Z ##[group]Installed versions 2025-12-04T19:17:22.5638628Z Version 3.10 was not found in the local cache 2025-12-04T19:17:22.5848843Z (node:263994) [DEP0040] DeprecationWarning: The `punycode` module is deprecated. Please use a userland alternative instead. 2025-12-04T19:17:22.5850608Z (Use `node --trace-deprecation ...` to show where the warning was created) 2025-12-04T19:17:22.9597166Z ##[error]The version '3.10' with architecture 'x64' was not found for this operating system. The list of all available versions can be found here: https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json 2025-12-04T19:17:22.9790441Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-12-04T19:17:22.9791369Z with: 2025-12-04T19:17:22.9791763Z env: 2025-12-04T19:17:22.9792173Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:22.9792857Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:22.9793513Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:22.9794744Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:22.9795867Z ##[endgroup] 2025-12-04T19:17:22.9860169Z ##[group]Run set -eou pipefail 2025-12-04T19:17:22.9860901Z set -eou pipefail 2025-12-04T19:17:22.9861616Z  2025-12-04T19:17:22.9862593Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-12-04T19:17:22.9863756Z for _ in $(seq 1440); do 2025-12-04T19:17:22.9864546Z  # Break if no ssh session exists anymore 2025-12-04T19:17:22.9865483Z  if [ "$(who)" = "" ]; then 2025-12-04T19:17:22.9866358Z  break 2025-12-04T19:17:22.9867005Z  fi 2025-12-04T19:17:22.9867623Z  echo "." 2025-12-04T19:17:22.9868273Z  sleep 5 2025-12-04T19:17:22.9868870Z done 2025-12-04T19:17:22.9878547Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T19:17:22.9879625Z env: 2025-12-04T19:17:22.9880156Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:22.9880829Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:22.9881708Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:22.9883061Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:22.9884313Z ##[endgroup] 2025-12-04T19:17:22.9920111Z Holding runner for 2 hours until all ssh sessions have logged out 2025-12-04T19:17:23.0001806Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T19:17:23.0002459Z # ignore expansion of "docker ps -q" since it could be empty 2025-12-04T19:17:23.0002980Z # shellcheck disable=SC2046 2025-12-04T19:17:23.0003376Z docker stop $(docker ps -q) || true 2025-12-04T19:17:23.0003783Z # Prune all of the docker images 2025-12-04T19:17:23.0004164Z docker system prune -af 2025-12-04T19:17:23.0010804Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T19:17:23.0011340Z env: 2025-12-04T19:17:23.0011577Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:23.0011888Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:23.0012249Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:23.0012897Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:23.0013497Z ##[endgroup] 2025-12-04T19:17:34.9645416Z 2e6b815f7ea3 2025-12-04T19:17:40.3761764Z Deleted Containers: 2025-12-04T19:17:40.3762312Z 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:40.3762718Z 2025-12-04T19:17:48.7019577Z Deleted Images: 2025-12-04T19:17:48.7021044Z 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##[group]Run set +e 2025-12-04T19:17:48.7136782Z set +e 2025-12-04T19:17:48.7137048Z set -x 2025-12-04T19:17:48.7137303Z  2025-12-04T19:17:48.7137535Z nvidia-smi 2025-12-04T19:17:48.7138070Z # NB: Surprisingly, nvidia-smi command returns successfully with return code 0 even in 2025-12-04T19:17:48.7138900Z # the case where the driver has already crashed as it still can get the driver version 2025-12-04T19:17:48.7139691Z # and some basic information like the bus ID. However, the rest of the information 2025-12-04T19:17:48.7140392Z # would be missing (ERR!), for example: 2025-12-04T19:17:48.7140770Z # 2025-12-04T19:17:48.7141128Z # +-----------------------------------------------------------------------------+ 2025-12-04T19:17:48.7141763Z # | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 | 2025-12-04T19:17:48.7142422Z # |-------------------------------+----------------------+----------------------+ 2025-12-04T19:17:48.7143050Z # | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T19:17:48.7143728Z # | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T19:17:48.7144290Z # | | | MIG M. | 2025-12-04T19:17:48.7144726Z # |===============================+======================+======================| 2025-12-04T19:17:48.7145215Z # | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! | 2025-12-04T19:17:48.7145772Z # |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default | 2025-12-04T19:17:48.7146292Z # | | | ERR! | 2025-12-04T19:17:48.7146789Z # +-------------------------------+----------------------+----------------------+ 2025-12-04T19:17:48.7147227Z # 2025-12-04T19:17:48.7147573Z # +-----------------------------------------------------------------------------+ 2025-12-04T19:17:48.7148112Z # | Processes: | 2025-12-04T19:17:48.7148675Z # | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T19:17:48.7149190Z # | ID ID Usage | 2025-12-04T19:17:48.7149692Z # |=============================================================================| 2025-12-04T19:17:48.7150191Z # +-----------------------------------------------------------------------------+ 2025-12-04T19:17:48.7150640Z # 2025-12-04T19:17:48.7151072Z # This should be reported as a failure instead as it will guarantee to fail when 2025-12-04T19:17:48.7151673Z # Docker tries to run with --gpus all 2025-12-04T19:17:48.7152045Z # 2025-12-04T19:17:48.7152472Z # So, the correct check here is to query one of the missing piece of info like 2025-12-04T19:17:48.7153080Z # GPU name, so that the command can fail accordingly 2025-12-04T19:17:48.7153654Z nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T19:17:48.7154162Z NVIDIA_SMI_STATUS=$? 2025-12-04T19:17:48.7154462Z  2025-12-04T19:17:48.7154974Z # These are acceptable return code from nvidia-smi as copied from setup-nvidia GitHub action 2025-12-04T19:17:48.7155750Z if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then 2025-12-04T19:17:48.7156442Z  echo "NVIDIA driver installation has failed, shutting down the runner..." 2025-12-04T19:17:48.7157029Z  .github/scripts/stop_runner_service.sh 2025-12-04T19:17:48.7157412Z fi 2025-12-04T19:17:48.7157654Z  2025-12-04T19:17:48.7158221Z # For runner with multiple GPUs, we also want to confirm that the number of GPUs are the 2025-12-04T19:17:48.7158970Z # power of 2, i.e. 1, 2, 4, or 8. This is to avoid flaky test issue when one GPU fails 2025-12-04T19:17:48.7159597Z # https://github.com/pytorch/test-infra/issues/4000 2025-12-04T19:17:48.7160111Z GPU_COUNT=$(nvidia-smi --list-gpus | wc -l) 2025-12-04T19:17:48.7160520Z NVIDIA_SMI_STATUS=$? 2025-12-04T19:17:48.7160838Z  2025-12-04T19:17:48.7161346Z # These are acceptable return code from nvidia-smi as copied from setup-nvidia GitHub action 2025-12-04T19:17:48.7162155Z if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then 2025-12-04T19:17:48.7162834Z  echo "NVIDIA driver installation has failed, shutting down the runner..." 2025-12-04T19:17:48.7163433Z  .github/scripts/stop_runner_service.sh 2025-12-04T19:17:48.7163818Z fi 2025-12-04T19:17:48.7164051Z  2025-12-04T19:17:48.7164334Z # Check the GPU count to be a power of 2 2025-12-04T19:17:48.7164991Z if [ "$GPU_COUNT" -le 8 ] && [ "$GPU_COUNT" -ne 1 ] && [ "$GPU_COUNT" -ne 2 ] && [ "$GPU_COUNT" -ne 4 ] && [ "$GPU_COUNT" -ne 8 ]; then 2025-12-04T19:17:48.7165883Z  echo "NVIDIA driver detects $GPU_COUNT GPUs. The runner has a broken GPU, shutting it down..." 2025-12-04T19:17:48.7166546Z  .github/scripts/stop_runner_service.sh 2025-12-04T19:17:48.7166929Z fi 2025-12-04T19:17:48.7177733Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-12-04T19:17:48.7178201Z env: 2025-12-04T19:17:48.7178456Z GIT_DEFAULT_BRANCH: main 2025-12-04T19:17:48.7178758Z HAS_NVIDIA_GPU: true 2025-12-04T19:17:48.7179122Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-12-04T19:17:48.7179786Z DOCKER_CONTAINER_ID: 2e6b815f7ea35830f45bbb1dfef8bbf35598c54af80dae6d6d1b9ce27aa25f64 2025-12-04T19:17:48.7180381Z ##[endgroup] 2025-12-04T19:17:48.7211831Z + nvidia-smi 2025-12-04T19:17:48.7416316Z Thu Dec 4 19:17:48 2025 2025-12-04T19:17:48.7416763Z +-----------------------------------------------------------------------------+ 2025-12-04T19:17:48.7417382Z | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | 2025-12-04T19:17:48.7417959Z |-------------------------------+----------------------+----------------------+ 2025-12-04T19:17:48.7418552Z | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-12-04T19:17:48.7419199Z | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | 2025-12-04T19:17:48.7419895Z | | | MIG M. | 2025-12-04T19:17:48.7420289Z |===============================+======================+======================| 2025-12-04T19:17:48.7580271Z | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | 2025-12-04T19:17:48.7580811Z | N/A 29C P8 15W / 70W | 2MiB / 15360MiB | 0% Default | 2025-12-04T19:17:48.7581258Z | | | N/A | 2025-12-04T19:17:48.7581728Z +-------------------------------+----------------------+----------------------+ 2025-12-04T19:17:48.7582198Z 2025-12-04T19:17:48.7582658Z +-----------------------------------------------------------------------------+ 2025-12-04T19:17:48.7583153Z | Processes: | 2025-12-04T19:17:48.7583677Z | GPU GI CI PID Type Process name GPU Memory | 2025-12-04T19:17:48.7584169Z | ID ID Usage | 2025-12-04T19:17:48.7584586Z |=============================================================================| 2025-12-04T19:17:48.7585690Z | No running processes found | 2025-12-04T19:17:48.7586262Z +-----------------------------------------------------------------------------+ 2025-12-04T19:17:48.8437030Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-12-04T19:17:48.8614819Z Tesla T4 2025-12-04T19:17:48.8654616Z + NVIDIA_SMI_STATUS=0 2025-12-04T19:17:48.8654961Z + '[' 0 -ne 0 ']' 2025-12-04T19:17:48.8661679Z ++ nvidia-smi --list-gpus 2025-12-04T19:17:48.8662248Z ++ wc -l 2025-12-04T19:17:48.8879225Z + GPU_COUNT=1 2025-12-04T19:17:48.8879538Z + NVIDIA_SMI_STATUS=0 2025-12-04T19:17:48.8879843Z + '[' 0 -ne 0 ']' 2025-12-04T19:17:48.8880186Z + '[' 1 -le 8 ']' 2025-12-04T19:17:48.8880593Z + '[' 1 -ne 1 ']' 2025-12-04T19:17:48.8955084Z Post job cleanup. 2025-12-04T19:17:48.9057520Z Post job cleanup. 2025-12-04T19:17:48.9108848Z Post job cleanup. 2025-12-04T19:17:49.0273088Z [command]/usr/bin/git version 2025-12-04T19:17:49.0317156Z git version 2.50.1 2025-12-04T19:17:49.0357280Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/19793e91-4c46-4146-bd30-0b7f1372e867/.gitconfig' 2025-12-04T19:17:49.0367657Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/19793e91-4c46-4146-bd30-0b7f1372e867' before making global git config changes 2025-12-04T19:17:49.0368805Z Adding repository directory to the temporary git global config as a safe directory 2025-12-04T19:17:49.0373310Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-12-04T19:17:49.0425210Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-12-04T19:17:49.0460169Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-12-04T19:17:49.0806995Z Entering 'android/libs/fbjni' 2025-12-04T19:17:49.0870660Z Entering 'third_party/FP16' 2025-12-04T19:17:49.0940172Z Entering 'third_party/FXdiv' 2025-12-04T19:17:49.1003168Z Entering 'third_party/NNPACK' 2025-12-04T19:17:49.1067638Z Entering 'third_party/NVTX' 2025-12-04T19:17:49.1132108Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T19:17:49.1196464Z Entering 'third_party/XNNPACK' 2025-12-04T19:17:49.1279660Z Entering 'third_party/aiter' 2025-12-04T19:17:49.1347317Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T19:17:49.1421467Z Entering 'third_party/benchmark' 2025-12-04T19:17:49.1488070Z Entering 'third_party/composable_kernel' 2025-12-04T19:17:49.1566190Z Entering 'third_party/cpp-httplib' 2025-12-04T19:17:49.1630529Z Entering 'third_party/cpuinfo' 2025-12-04T19:17:49.1695794Z Entering 'third_party/cudnn_frontend' 2025-12-04T19:17:49.1759859Z Entering 'third_party/cutlass' 2025-12-04T19:17:49.1837290Z Entering 'third_party/fbgemm' 2025-12-04T19:17:49.1906009Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T19:17:49.1968607Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T19:17:49.2041574Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T19:17:49.2106392Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T19:17:49.2180327Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T19:17:49.2244590Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T19:17:49.2307463Z Entering 'third_party/fbgemm/external/json' 2025-12-04T19:17:49.2373125Z Entering 'third_party/flash-attention' 2025-12-04T19:17:49.2438458Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T19:17:49.2510654Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T19:17:49.2585742Z Entering 'third_party/flatbuffers' 2025-12-04T19:17:49.2653717Z Entering 'third_party/fmt' 2025-12-04T19:17:49.2718861Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T19:17:49.2783566Z Entering 'third_party/gloo' 2025-12-04T19:17:49.2850098Z Entering 'third_party/googletest' 2025-12-04T19:17:49.2915603Z Entering 'third_party/ideep' 2025-12-04T19:17:49.2978164Z Entering 'third_party/ideep/mkl-dnn' 2025-12-04T19:17:49.3051009Z Entering 'third_party/ittapi' 2025-12-04T19:17:49.3115094Z Entering 'third_party/kineto' 2025-12-04T19:17:49.3178260Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-12-04T19:17:49.3240649Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-12-04T19:17:49.3305690Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-12-04T19:17:49.3368138Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-12-04T19:17:49.3431457Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-12-04T19:17:49.3492121Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-12-04T19:17:49.3561089Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-12-04T19:17:49.3626565Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-12-04T19:17:49.3689474Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-12-04T19:17:49.3753443Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-12-04T19:17:49.3815885Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp' 2025-12-04T19:17:49.3878024Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T19:17:49.3945385Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T19:17:49.4013030Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-12-04T19:17:49.4076023Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-12-04T19:17:49.4141037Z Entering 'third_party/kleidiai' 2025-12-04T19:17:49.4208838Z Entering 'third_party/mimalloc' 2025-12-04T19:17:49.4273543Z Entering 'third_party/nlohmann' 2025-12-04T19:17:49.4338692Z Entering 'third_party/onnx' 2025-12-04T19:17:49.4422011Z Entering 'third_party/onnx/third_party/pybind11' 2025-12-04T19:17:49.4487112Z Entering 'third_party/opentelemetry-cpp' 2025-12-04T19:17:49.4554903Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-12-04T19:17:49.4616782Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-12-04T19:17:49.4679505Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-12-04T19:17:49.4741955Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-12-04T19:17:49.4807137Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-12-04T19:17:49.4868262Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-12-04T19:17:49.4932186Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-12-04T19:17:49.4992518Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-12-04T19:17:49.5057993Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-12-04T19:17:49.5123856Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-12-04T19:17:49.5209324Z Entering 'third_party/pocketfft' 2025-12-04T19:17:49.5272945Z Entering 'third_party/protobuf' 2025-12-04T19:17:49.5340010Z Entering 'third_party/protobuf/third_party/benchmark' 2025-12-04T19:17:49.5401518Z Entering 'third_party/protobuf/third_party/googletest' 2025-12-04T19:17:49.5465475Z Entering 'third_party/psimd' 2025-12-04T19:17:49.5528980Z Entering 'third_party/pthreadpool' 2025-12-04T19:17:49.5593303Z Entering 'third_party/pybind11' 2025-12-04T19:17:49.5657125Z Entering 'third_party/python-peachpy' 2025-12-04T19:17:49.5719868Z Entering 'third_party/sleef' 2025-12-04T19:17:49.5782186Z Entering 'third_party/tensorpipe' 2025-12-04T19:17:49.5845998Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-12-04T19:17:49.5909228Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-12-04T19:17:49.5969909Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-12-04T19:17:49.6031310Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-12-04T19:17:49.6093558Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-12-04T19:17:49.6179983Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-12-04T19:17:49.6203551Z http.https://github.com/.extraheader 2025-12-04T19:17:49.6214647Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-12-04T19:17:49.6247457Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-12-04T19:17:49.6587646Z Entering 'android/libs/fbjni' 2025-12-04T19:17:49.6631561Z http.https://github.com/.extraheader 2025-12-04T19:17:49.6670215Z Entering 'third_party/FP16' 2025-12-04T19:17:49.6713506Z http.https://github.com/.extraheader 2025-12-04T19:17:49.6751591Z Entering 'third_party/FXdiv' 2025-12-04T19:17:49.6794972Z http.https://github.com/.extraheader 2025-12-04T19:17:49.6835075Z Entering 'third_party/NNPACK' 2025-12-04T19:17:49.6878359Z http.https://github.com/.extraheader 2025-12-04T19:17:49.6918371Z Entering 'third_party/NVTX' 2025-12-04T19:17:49.6961140Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7000023Z Entering 'third_party/VulkanMemoryAllocator' 2025-12-04T19:17:49.7043740Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7082505Z Entering 'third_party/XNNPACK' 2025-12-04T19:17:49.7127775Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7182704Z Entering 'third_party/aiter' 2025-12-04T19:17:49.7227307Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7265986Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-12-04T19:17:49.7308131Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7361391Z Entering 'third_party/benchmark' 2025-12-04T19:17:49.7404195Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7443187Z Entering 'third_party/composable_kernel' 2025-12-04T19:17:49.7486926Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7537283Z Entering 'third_party/cpp-httplib' 2025-12-04T19:17:49.7580192Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7620815Z Entering 'third_party/cpuinfo' 2025-12-04T19:17:49.7663904Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7702747Z Entering 'third_party/cudnn_frontend' 2025-12-04T19:17:49.7745605Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7783838Z Entering 'third_party/cutlass' 2025-12-04T19:17:49.7828664Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7879230Z Entering 'third_party/fbgemm' 2025-12-04T19:17:49.7922627Z http.https://github.com/.extraheader 2025-12-04T19:17:49.7964541Z Entering 'third_party/fbgemm/external/asmjit' 2025-12-04T19:17:49.8007026Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8045152Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-12-04T19:17:49.8087339Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8136455Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-12-04T19:17:49.8178205Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8219098Z Entering 'third_party/fbgemm/external/cutlass' 2025-12-04T19:17:49.8260679Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8310354Z Entering 'third_party/fbgemm/external/googletest' 2025-12-04T19:17:49.8351886Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8389416Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-12-04T19:17:49.8433071Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8471468Z Entering 'third_party/fbgemm/external/json' 2025-12-04T19:17:49.8515653Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8559092Z Entering 'third_party/flash-attention' 2025-12-04T19:17:49.8603917Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8643231Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-12-04T19:17:49.8686784Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8732138Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-12-04T19:17:49.8774018Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8824093Z Entering 'third_party/flatbuffers' 2025-12-04T19:17:49.8868723Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8912583Z Entering 'third_party/fmt' 2025-12-04T19:17:49.8956060Z http.https://github.com/.extraheader 2025-12-04T19:17:49.8994707Z Entering 'third_party/gemmlowp/gemmlowp' 2025-12-04T19:17:49.9038126Z http.https://github.com/.extraheader 2025-12-04T19:17:49.9076378Z Entering 'third_party/gloo' 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